2024 |
Baltuttis D, Teubner T, Adam MTP, 'A typology of cybersecurity behavior among knowledge workers', Computers and Security, 140 (2024) [C1]
While the cybersecurity literature on behavioral factors has expanded, current countermeasures often overlook employee-specific behavioral differences, leading to generic solution... [more]
While the cybersecurity literature on behavioral factors has expanded, current countermeasures often overlook employee-specific behavioral differences, leading to generic solutions. This study addresses this gap by introducing a typology of knowledge worker cybersecurity behaviors through cluster analysis. Based on online survey data (n = 264), we identify six main dimensions of cybersecurity attitude and behavior and, based on these, four behavioral cybersecurity types with distinct characteristics and demographic profiles: Naïve Greenhorns, Traditional Examiners, Flexible Mavericks, and Reliable Troupers. Contrary to common beliefs, the study found that older employees demonstrate high cybersecurity resilience, while younger ones pose a higher risk. These findings underscore the importance of tailored, human-centered cybersecurity approaches.
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Nova |
2023 |
Gilbert S, Irvine R, D'or M, Adam MTP, Collins CE, Marriott R, et al., 'Indigenous Women and Their Nutrition During Pregnancy (the Mums and Bubs Deadly Diets Project): Protocol for a Co-designed mHealth Resource Development Study', JMIR RESEARCH PROTOCOLS, 12 (2023)
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2023 |
Lutz B, Adam MTP, Feuerriegel S, Pröllochs N, Neumann D, 'Affective Information Processing of Fake News: Evidence from NeuroIS', European Journal of Information Systems, (2023) [C1]
Fake news undermines individuals¿ ability to make informed decisions. However, the theoretical understanding of how users assess online news as real or fake has thus far remained ... [more]
Fake news undermines individuals¿ ability to make informed decisions. However, the theoretical understanding of how users assess online news as real or fake has thus far remained incomplete. In particular, previous research cannot explain why users fall for fake news inadvertently and despite careful thinking. In this work, we study the role of affect when users assess online news as real or fake. We employ NeuroIS measurements as a complementary approach beyond self-reports, which allows us to capture affective responses in situ, i.e., directly in the moment they occur. We draw upon cognitive dissonance theory, which suggests that users experiencing affective responses avoid unpleasant information to reduce psychological discomfort. In our NeuroIS experiment, we measured affective responses based on electrocardiography and eye tracking. We find that lower heart rate variability and shorter mean fixation duration are associated with greater perceived fakeness and a higher probability of incorrect assessments, thus providing evidence of affective information processing. These findings imply that users may fall for fake news automatically and without even noticing. This has direct implications for information systems (IS) research and practice as effective countermeasures against fake news must account for affective information processing.
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2023 |
Chowdhury NH, Adam MTP, Teubner T, 'Rushed to crack - On the perceived effectiveness of cybersecurity measures for secure behaviour under time pressure', BEHAVIOUR & INFORMATION TECHNOLOGY, 42 1568-1589 (2023) [C1]
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Nova |
2023 |
Ashton LM, Adam MT, Whatnall M, Rollo ME, Burrows TL, Hansen V, Collins CE, 'Exploring the design and utility of an integrated web-based chatbot for young adults to support healthy eating: a qualitative study.', Int J Behav Nutr Phys Act, 20 119 (2023) [C1]
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Nova |
2023 |
Nadj M, Rissler R, Adam MTP, Knierim MT, Li MX, Maedche A, Riedl R, 'WHAT DISRUPTS FLOW IN OFFICE WORK? THE IMPACT OF FREQUENCY AND RELEVANCE OF IT-MEDIATED INTERRUPTIONS', MIS Quarterly: Management Information Systems, 47 1615-1646 (2023)
Flow, the holistic sensation people experience when they act with total involvement, is a known driver for desired work outcomes like task performance. However, the increasing ubi... [more]
Flow, the holistic sensation people experience when they act with total involvement, is a known driver for desired work outcomes like task performance. However, the increasing ubiquity of IT at work can disrupt employees¿ flow. Thus, the impact of IT-mediated interruptions on flow warrants more attention in research and practice. We conducted a NeuroIS laboratory experiment focusing on a typical office work task¿an invoice matching task (i.e., matching customer payments to invoices). We manipulated interruption frequency (low, high) and content relevance (irrelevant, relevant) to study the impact of interruptions on self-reported flow, its dimensions, and high-frequency heart rate variability (HF-HRV; calculated from electrocardiography recordings) as a proxy for parasympathetic nervous system (PNS) activation. We found that content relevance moderated the relationship between interruption frequency and self-reported flow and that these results vary along flow dimensions. Content relevance also moderated the relationship between interruption frequency and PNS activation. Furthermore, self-reported flow was positively associated with both perceived and objective task performance, while PNS activation was not related to either performance measure. Lastly, we found no relationship between PNS activation (measured by HF-HRV) and self-reported flow, contributing to an important debate in the NeuroIS literature on whether physiological evidence constitutes an alternative or a complement to self-reports. Overall, our findings indicate that frequent interruptions are not harmful per se. Rather, considering content relevance is critical for a more comprehensive understanding of the effects on self-reported flow, its dimensions, and the underlying physiology.
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2023 |
Chowdhury NH, Adam MTP, Teubner T, 'Rushing for security: a document analysis on the sources and effects of time pressure on organizational cybersecurity', Information and Computer Security, 31 504-526 (2023) [C1]
Purpose: A growing body of research has identified time pressure as a key driver of cybersecurity (CS) risks and vulnerabilities. To strengthen CS, organizations use CS documents ... [more]
Purpose: A growing body of research has identified time pressure as a key driver of cybersecurity (CS) risks and vulnerabilities. To strengthen CS, organizations use CS documents (e.g. best practices, guidelines and policies) intended to strengthen CS. The purpose of this paper is to provide an overview of how specifically time pressure is addressed by CS documents. Design/methodology/approach: The authors conducted a systematic search for CS documents followed by a content analysis of the identified documents. First, the authors carried out a systematic Web search and identified 92 formal and informal CS documents (e.g. security policies, procedures, guidelines, manuals and best practices). Second, they systematically analyzed the resulting documents (n = 92), using a structured approach of data familiarization and low-/high-level coding for the identification and interpretation of themes. Based on this analysis, the authors formulated a conceptual framework that captures the sources and effects of time pressure along the themes of industry, operations and users. Findings: The authors developed a conceptual framework that outlines the role of time pressure for the CS industry, threats and operations. This provides a shared frame of reference for researchers and practitioners to understand the antecedents and consequences of time pressure in the organizational CS context. Research limitations/implications: While the analyzed documents acknowledge time pressure as an important factor for CS, the documents provide limited information on how to respond to these concerns. Future research could, hence, consult with CS experts and policymakers to inform the development of effective guidelines and policies on how to address time pressure in the identified areas. A dedicated analysis within each area will allow to investigate the corresponding aspects of time pressure in-depth along with a consideration for targeted guidelines and policies. Last, note that a differentiation between CS document types (e.g. formal vs informal and global vs regional) was beyond the scope of this paper and may be investigated by future work. Originality/value: This study makes three main contributions to the CS literature. First, this study broadens the understanding of the role of time pressure in CS to consider the organizational perspective along the themes of industry, threats and operations. Second, this study provides the first comprehensive assessment of how organizations address time pressure through CS documents, and how this compares to existing research in academic literature. Third, by developing a conceptual framework, this study provides a shared frame of reference for researchers and practitioners to further develop CS documents that consider time pressure¿s role in secure behavior.
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Nova |
2023 |
Chowdhury NH, Adam MTP, Teubner T, 'Erratum: Withdrawal notice to Time pressure in human cybersecurity behavior: Theoretical framework and countermeasures [Computers & Security, 97 (2020) 101931] (Computers & Security (2020) 97, (S0167404820302078), (10.1016/j.cose.2020.101931))', Computers and Security, (2023)
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2023 |
Nastjuk I, Trang S, Grummeck-Braamt JV, Adam MTP, Tarafdar M, 'Integrating and Synthesising Technostress Research: A Meta-Analysis on Technostress Creators, Outcomes, and IS Usage Contexts', European Journal of Information Systems, (2023) [C1]
The expansion of technostress research in the organisational and private IS usage contexts has generated substantial theoretical and empirical insights into the relationship betwe... [more]
The expansion of technostress research in the organisational and private IS usage contexts has generated substantial theoretical and empirical insights into the relationship between technostress creators and psychological and behavioural outcomes. However, we observe empirical inconsistencies in terms of effect sizes and conceptual inconsistencies regarding the aggregated and disaggregated treatment of technostress creators. Against this background, we argue that a fine-grained estimation and comparison of effect size strengths of technostress creators on outcomes can provide clarity on these essential matters. Using the Hunter and Schmidt method, we integrated and synthesised empirical data from 102 articles, encompassing 113 independent studies with a total of 49,955 observations. Our analysis offers four important contributions to the technostress literature. First, it confirms that technostress is meaningful in terms of its detrimental impact on both psychological and behavioural outcomes. Second, the results provide accurate effect size estimates for technostress creators on different outcomes in organisational and private usage contexts. Third, the results reveal that psychological outcomes are more immediate than behavioural outcomes. Fourth, the findings suggest that in certain contexts, a disaggregated account of technostress creators can reveal meaningful empirical information.
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2022 |
Hesse M, Teubner T, Adam MTP, 'In Stars We Trust - A Note on Reputation Portability Between Digital Platforms (vol 64, pg 349, 2022)', BUSINESS & INFORMATION SYSTEMS ENGINEERING, (2022)
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2022 |
Smith SP, Adam MTP, Manning G, Burrows T, Collins C, Rollo ME, 'Food Volume Estimation by Integrating 3D Image Projection and Manual Wire Mesh Transformations', IEEE Access, 10 48367-48378 (2022) [C1]
2D images can be used to capture food intake data in nutrition studies. Estimates of food volume from these images are required for nutrient analysis. Although 3D image capture is... [more]
2D images can be used to capture food intake data in nutrition studies. Estimates of food volume from these images are required for nutrient analysis. Although 3D image capture is possible, it is not commonplace. Additionally, nutrition studies often require multiple food images taken by non-expert users, typically collected using mobile phones, due to their convenience. Current 2D image to 3D volume approaches are restricted by the need for prescribed camera placement, image metadata analysis and/or significant computational resources. A new method is presented combining 2D image capture and automated 3D scene projection with manual placement and resizing of wire mesh objects. 2D images, with a reference object, are taken on low specification mobile phones. 3D scene projection is calculated by twinning a cuboid in 3D space to the reference object in the 2D image. A manually selected 3D wire mesh object is then positioned over the target food item and manually transformed to improve accuracy. The virtual wire mesh object is then projected into the 3D scene and the volume of the target food item calculated. The whole process is computationally light and runs in real-time as an app on a standard Apple iPad. Based on a user study with 60 participants, experimental evaluations of volume estimates over regular shape and ground truth food items demonstrate that this approach provides acceptable accuracy. We demonstrate that the accuracy of estimates can be increased by combining multiple independent estimates.
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Nova |
2022 |
Adam MTP, Kraemer J, 'Evaluating the emotional bidding framework: new evidence from a decade of neurophysiology', ELECTRONIC MARKETS, 32 1529-1540 (2022) [C1]
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Nova |
2022 |
Aljaroodi HM, Adam MTP, Teubner T, Chiong R, 'Understanding the Importance of Cultural Appropriateness for User Interface Design: An Avatar Study', ACM Transactions on Computer-Human Interaction, 29 1-27 (2022) [C1]
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Nova |
2022 |
Gnewuch U, Morana S, Adam MTP, Maedche A, 'Opposing Effects of Response Time in Human-Chatbot Interaction The Moderating Role of Prior Experience', BUSINESS & INFORMATION SYSTEMS ENGINEERING, 64 773-791 (2022) [C1]
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Nova |
2022 |
Rendell A, Adam MTP, Eidels A, Teubner T, 'Nature imagery in user interface design: the influence on user perceptions of trust and aesthetics', Behaviour and Information Technology, 41 2762-2778 (2022) [C1]
User interfaces often utilise imagery of pristine natural environments, even if the system¿s purpose and context are unrelated to nature. In this paper, we build on evolutionary p... [more]
User interfaces often utilise imagery of pristine natural environments, even if the system¿s purpose and context are unrelated to nature. In this paper, we build on evolutionary psychology to develop a theoretical model for the influence of nature imagery on user perceptions of trust, visual aesthetics, and purchase intentions in a corporate sales setting. We evaluate our model by means of an online experiment (n = 408) using a website with different configurations of nature imagery. The results provide support for our theoretical model and hence confirm a positive influence of nature presence, that is, the extent to which the website allows a user to experience the natural environment as being present, on trust, visual aesthetics, and purchase intentions. Thereby, user perceptions of nature presence are specifically linked to nature imagery depicting water as well as vegetation. This study furthers our understanding of how the environmental context of on-site imagery can have subtle information processing benefits for users. For practitioners this study offers insight to the types of imagery that could be utilised more effectively in corporate interface designs.
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Nova |
2022 |
Saronga N, Mosha IH, Stewart SJ, Bakar S, Sunguya BF, Burrows TL, et al., 'A Mixed-Method Study Exploring Experiences and Perceptions of Nutritionists Regarding Use of an Image-Based Dietary Assessment System in Tanzania', Nutrients, 14 (2022) [C1]
Due to global advances in technology, image-based food record methods have emerged as an alternative to traditional assessment methods. The use of image-based food records in low ... [more]
Due to global advances in technology, image-based food record methods have emerged as an alternative to traditional assessment methods. The use of image-based food records in low and lower-middle income countries such as Tanzania is limited, with countries still using traditional methods. The current study aimed to determine the feasibility of using a new voice and image-based dietary assessment system (VISIDA) in Dar es Salaam, Tanzania. This mixed-method study recruited 18 nutritionists as participants who collected image-based records of food and drinks they consumed using the VISIDA smartphone app. Participants viewed an online demonstration of the VISIDA web platform and the analysis process for intake data collected using the VISIDA app. Then, participants completed an online survey and were interviewed about the VISIDA app and web platform for food and nutrient intake analysis. The method was reported as being acceptable and was found to be easy to use, although technical challenges were experienced by some participants. Most participants indicated a willingness to use the VISIDA app again for one week or longer and were interested in using the VISIDA system in their current role. Participants acknowledged that the VISIDA web platform would simplify some aspects of their current job. Image-based food records could potentially be used in Tanzania to improve the assessment of dietary intake by nutritionists in urban areas. Participants recommended adding sound-on notifications, using the VISIDA app in both Apple and Android phones, enabling installation from the app store, and improving the quality of the fiducial markers.
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Nova |
2022 |
Menzel T, Teubner T, Adam MTP, Toreini P, 'Home is where your Gaze is - Evaluating effects of embedding regional cues in user interfaces', COMPUTERS IN HUMAN BEHAVIOR, 136 (2022) [C1]
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Nova |
2022 |
Dodd CT, Adam MTP, Rollo ME, 'Speech Recording for Dietary Assessment: A Systematic Literature Review', IEEE ACCESS, 10 37658-37669 (2022) [C1]
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Nova |
2022 |
Adam MTP, Dreyer S, Gimpel H, Olenberger C, 'Digital Human Representations for Health Behavior Change: A Structured Literature Review', AIS Transactions on Human-Computer Interaction, 14 314-355 (2022) [C1]
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Nova |
2022 |
Whatnall M, Clarke ED, Adam MTP, Ashton LM, Burrows T, Hutchesson M, Collins CE, 'Diet Quality of Adolescents and Adults Who Completed the Australian Healthy Eating Quiz: An Analysis of Data over Six Years (2016 2022)', Nutrients, 14 (2022) [C1]
Diet quality is influenced by demographics and can change over time. This study aimed to (1) compare diet quality among adolescents/adults who completed the online Healthy Eating ... [more]
Diet quality is influenced by demographics and can change over time. This study aimed to (1) compare diet quality among adolescents/adults who completed the online Healthy Eating Quiz (HEQ) by demographic characteristics, and (2) to evaluate change in score over time for repeat completers. HEQ data collected between July 2016 and May 2022 were analysed, including demographics (age, gender, vegetarian status, socio-economic status, number of people main meals are shared with, country), and diet quality calculated using the Australian Recommended Food Score (ARFS) (range 0¿73) for respondents aged = 16 years. Differences in ARFS by demographic characteristics and change in score over time, adjusted for age, gender and vegetarian status, were tested by linear regression. The participants (n = 176,075) were predominantly female (70.4%), Australian (62.8%), and aged 18¿24 years (27.7%), with 4.0% (n = 7087) repeat completers. Mean ± SD ARFS was 33.9 ± 9.4/73. Results indicate that ARFS was significantly lower among males and significantly higher with increasing age group, higher socio-economic status, in vegetarians, those who shared main meals with others, and those living in Australia (p-values < 0.001). Mean change in ARFS over time (2.3 ± 6.9) was significantly higher for those with lower baseline scores (p < 0.001). Publicly available, brief dietary assessment tools have the potential to improve diet quality at the population level.
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Nova |
2022 |
Teubner T, Adam M, Camacho S, Hassanein K, 'What You See is What You G(u)e(s)t: How Profile Photos and Profile Information Drive Providers' Expectations of Social Reward in Co-usage Sharing', INFORMATION SYSTEMS MANAGEMENT, 39 64-81 (2022) [C1]
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Nova |
2022 |
Whatnall M, Ashton LM, Adam MTP, McCormick H, Clarke ED, Lavelle F, et al., 'How Can We Support Healthy Eating in Young Adults with Low Diet Quality? A Survey of Users of the 'No Money No Time' Healthy Eating Website.', Nutrients, 14 5218 (2022) [C1]
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Nova |
2021 |
Hesse M, Teubner T, Adam MTP, 'In Stars We Trust - A Note on Reputation Portability Between Digital Platforms', BUSINESS & INFORMATION SYSTEMS ENGINEERING, 64 349-358 (2021) [C1]
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Nova |
2021 |
Rouast PV, Adam MTP, Chiong R, 'Deep Learning for Human Affect Recognition: Insights and New Developments', IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 12 524-543 [C1]
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Nova |
2021 |
Noorbergen TJ, Adam MTP, Teubner T, Collins CE, 'Using co-design in mobile health system development: A qualitative study with experts in co-design and mobile health system development', JMIR mHealth and uHealth, 9 (2021) [C1]
Background: The proliferation of mobile devices has enabled new ways of delivering health services through mobile health systems. Researchers and practitioners emphasize that the ... [more]
Background: The proliferation of mobile devices has enabled new ways of delivering health services through mobile health systems. Researchers and practitioners emphasize that the design of such systems is a complex endeavor with various pitfalls, including limited stakeholder involvement in design processes and the lack of integration into existing system landscapes. Co-design is an approach used to address these pitfalls. By recognizing users as experts of their own experience, co-design directly involves users in the design process and provides them an active role in knowledge development, idea generation, and concept development. Objective: Despite the existence of a rich body of literature on co-design methodologies, limited research exists to guide the co-design of mobile health (mHealth) systems. This study aims to contextualize an existing co-design framework for mHealth applications and construct guidelines to address common challenges of co-designing mHealth systems. Methods: Tapping into the knowledge and experience of experts in co-design and mHealth systems development, we conducted an exploratory qualitative study consisting of 16 semistructured interviews. Thereby, a constructivist ontological position was adopted while acknowledging the socially constructed nature of reality in mHealth system development. Purposive sampling across web-based platforms (eg, Google Scholar and ResearchGate) and publications by authors with co-design experience in mHealth were used to recruit co-design method experts (n=8) and mHealth system developers (n=8). Data were analyzed using thematic analysis along with our objectives of contextualizing the co-design framework and constructing guidelines for applying co-design to mHealth systems development. Results: The contextualized framework captures important considerations of the mHealth context, including dedicated prototyping and implementation phases, and an emphasis on immersion in real-world contexts. In addition, 7 guidelines were constructed that directly pertain to mHealth: understanding stakeholder vulnerabilities and diversity, health behavior change, co-design facilitators, immersion in the mHealth ecosystem, postdesign advocates, health-specific evaluation criteria, and usage data and contextual research to understand impact. Conclusions: System designers encounter unique challenges when engaging in mHealth systems development. The contextualized co-design framework and constructed guidelines have the potential to serve as a shared frame of reference to guide the co-design of mHealth systems and facilitate interdisciplinary collaboration at the nexus of information technology and health research.
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Nova |
2021 |
Noorbergen TJ, Adam M, Roxburgh M, Teubner T, 'Co-design in mHealth systems development: Insights from a systematic literature review', AIS Transactions on Human-Computer Interaction, 13 175-205 (2021) [C1]
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Nova |
2021 |
Heydarian H, Adam MTP, Burrows T, Rollo ME, 'Exploring Score-Level and Decision-Level Fusion of Inertial and Video Data for Intake Gesture Detection', IEEE Access, (2021) [C1]
Recent research has employed deep learning to detect intake gestures from inertial sensor and video camera data. However, the fusion of these modalities has not been attempted. Th... [more]
Recent research has employed deep learning to detect intake gestures from inertial sensor and video camera data. However, the fusion of these modalities has not been attempted. The present research explores the potential of fusing the outputs of two individual deep learning inertial and video intake gesture detection models (i.e., score-level and decision-level fusion) using the test sets from two publicly available multimodal datasets: (1) OREBA-DIS recorded from 100 participants while consuming food served in discrete portions and (2) OREBA-SHA recorded from 102 participants while consuming a communal dish. We first assess the potential of fusion by contrasting the performance of the individual models in intake gesture detection. The assessment shows that fusing the outputs of individual models is more promising on the OREBA-DIS dataset. Subsequently, we conduct experiments using different score-level and decision-level fusion approaches. Our results from fusion show that the score-level fusion approach of max score model performs best of all considered fusion approaches. On the OREBA-DIS dataset, the max score fusion approach (F1 = 0.871) outperforms both individual video (F1 = 0.855) and inertial (F1 = 0.806) models. However, on the OREBA-SHA dataset, the max score fusion approach (F1 = 0.873) fails to outperform the individual inertial model (F1 = 0.895). Pairwise comparisons using bootstrapped samples confirm the statistical significance of these differences in model performance (p<.001).
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2021 |
Rouast PV, Adam MTP, 'Single-Stage Intake Gesture Detection Using CTC Loss and Extended Prefix Beam Search', IEEE Journal of Biomedical and Health Informatics, 25 2733-2743 (2021) [C1]
Accurate detection of individual intake gestures is a key step towards automatic dietary monitoring. Both inertial sensor data of wrist movements and video data depicting the uppe... [more]
Accurate detection of individual intake gestures is a key step towards automatic dietary monitoring. Both inertial sensor data of wrist movements and video data depicting the upper body have been used for this purpose. The most advanced approaches to date use a two-stage approach, in which (i) frame-level intake probabilities are learned from the sensor data using a deep neural network, and then (ii) sparse intake events are detected by finding the maxima of the frame-level probabilities. In this study, we propose a single-stage approach which directly decodes the probabilities learned from sensor data into sparse intake detections. This is achieved by weakly supervised training using Connectionist Temporal Classification (CTC) loss, and decoding using a novel extended prefix beam search decoding algorithm. Benefits of this approach include (i) end-to-end training for detections, (ii) simplified timing requirements for intake gesture labels, and (iii) improved detection performance compared to existing approaches. Across two separate datasets, we achieve relative $F_1$ score improvements between 1.9% and 6.2% over the two-stage approach for intake detection and eating/drinking detection tasks, for both video and inertial sensors.
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Nova |
2021 |
Adam MTP, Gregor S, Hevner A, Morana S, 'Design Science Research Modes in Human-Computer Interaction Projects', AIS Transactions on Human-Computer Interaction, 13 1-11 (2021)
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2021 |
Ashton LM, Rollo ME, Adam MTP, Burrows T, Shrewsbury VA, Collins CE, 'Process Evaluation of the No Money No Time Healthy Eating Website Promoted Using Social Marketing Principles. A Case Study', International Journal of Environmental Research and Public Health, 18 (2021) [C1]
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Nova |
2020 |
Bennett M, Mullard R, Adam MTP, Steyvers M, Brown S, Eidels A, 'Going, going, gone: competitive decision-making in Dutch auctions', COGNITIVE RESEARCH-PRINCIPLES AND IMPLICATIONS, 5 (2020) [C1]
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Nova |
2020 |
Chowdhury NH, Adam MTP, Teubner T, 'Time pressure in human cybersecurity behavior: Theoretical framework and countermeasures', Computers & Security, 97 (2020) [C1]
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2020 |
Chowdhury NH, Adam MTP, Teubner T, 'Time pressure in human cybersecurity behavior: Theoretical framework and countermeasures', Computers & Security, 97 (2020) [C1]
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Nova |
2020 |
Heydarian H, Rouast PV, Adam MTP, Burrows T, Collins CE, Rollo ME, 'Deep learning for intake gesture detection from wrist-worn inertial sensors: The effects of data preprocessing, sensor modalities, and sensor positions', IEEE Access, 8 164936-164949 (2020) [C1]
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Nova |
2020 |
Teubner T, Adam MTP, Hawlitschek F, 'Unlocking Online Reputation: On the Effectiveness of Cross-Platform Signaling in the Sharing Economy', Business and Information Systems Engineering, 62 501-513 (2020) [C1]
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Nova |
2020 |
Rouast PV, Heydarian H, Adam MTP, Rollo ME, 'OREBA: A Dataset for Objectively Recognizing Eating Behavior and Associated Intake', IEEE Access, 8 181955-181963 (2020) [C1]
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Nova |
2020 |
Morana S, Pfeiffer J, Adam MTP, 'User Assistance for Intelligent Systems', BUSINESS & INFORMATION SYSTEMS ENGINEERING, 62 189-192 (2020)
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2020 |
Aljaroodi HM, Chiong R, Adam MTP, 'Exploring the design of avatars for users from arabian culture through a hybrid approach of deductive and inductive reasoning', Computers in Human Behavior, 106 1-14 (2020) [C1]
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Nova |
2020 |
Dann D, Teubner T, Adam MTP, Weinhardt C, 'Where the host is part of the deal: Social and economic value in the platform economy', Electronic Commerce Research and Applications, 40 1-12 (2020) [C1]
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Nova |
2019 |
Chica M, Chiong R, Adam MTP, Teubner T, 'An Evolutionary Game Model with Punishment and Protection to Promote Trust in the Sharing Economy', Scientific Reports, 9 (2019) [C1]
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Nova |
2019 |
Noorbergen TJ, Adam M, Attia JR, Cornforth D, Minichiello M, 'Exploring the design of mHealth systems for health behavior change using mobile biosensors', Communications of the Association for Information Systems, 44 944-981 (2019) [C1]
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Nova |
2019 |
Chowdhury NH, Adam MTP, Skinner G, 'The impact of time pressure on cybersecurity behaviour: a systematic literature review', Behaviour and Information Technology, 38 1290-1308 (2019) [C1]
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Nova |
2019 |
Adam MTP, Ku G, Lux E, 'Auction fever: The unrecognized effects of incidental arousal', JOURNAL OF EXPERIMENTAL SOCIAL PSYCHOLOGY, 80 52-58 (2019) [C1]
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Nova |
2019 |
Heydarian H, Adam MTP, Burrows T, Collins C, Rollo ME, 'Assessing eating behaviour using upper limb mounted motion sensors: A systematic review', Nutrients, 11 1-25 (2019) [C1]
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Nova |
2019 |
Burrows T, Collins C, Adam M, Duncanson K, Rollo M, 'Dietary assessment of shared plate eating: A missing link', Nutrients, 11 1-14 (2019) [C1]
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Nova |
2019 |
Aljaroodi HM, Adam MTP, Chiong R, Teubner T, 'Avatars and embodied agents in information systems research: A systematic review and conceptual framework', Australasian Journal of Information Systems, 23 1-37 (2019) [C1]
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Nova |
2019 |
Teubner T, Hawlitschek F, Adam MTP, 'Reputation Transfer', Business and Information Systems Engineering, 61 229-235 (2019) [C1]
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Nova |
2018 |
Rouast PV, Adam MTP, Chiong R, Cornforth DJ, Lux E, 'Remote heart rate measurement using low-cost RGB face video: A technical literature review', Frontiers of Computer Science, 12 858-872 (2018) [C1]
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Nova |
2018 |
Weaving S, Pelzer S, Adam MTP, 'The cinematic moment: improving audience testing of movies', STUDIES IN AUSTRALASIAN CINEMA, 12 89-103 (2018) [C1]
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Nova |
2018 |
Morana S, Maedche A, Adam MTP, Fettke P, Herwix A, Nguyen HD, et al., 'Tool support for design science research Towards a software ecosystem: A report from a DESRIST 2017 workshop', Communications of the Association for Information Systems, 43 237-256 (2018) [C1]
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Nova |
2018 |
Lux E, Adam MTP, Dorner V, Helming S, Knierim MT, Weinhardt C, 'Live biofeedback as a user interface design element: A review of the literature', Communications of the Association for Information Systems, 43 257-296 (2018) [C1]
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Nova |
2018 |
Adam MTP, Teubner T, Gimpel H, 'No Rage Against the Machine: How Computer Agents Mitigate Human Emotional Processes in Electronic Negotiations', GROUP DECISION AND NEGOTIATION, 27 543-571 (2018) [C1]
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Nova |
2017 |
Adam MTP, Gimpel H, Maedche A, Riedl R, 'Design blueprint for stress-sensitive adaptive enterprise systems', Business and Information Systems Engineering, 59 277-291 (2017) [C1]
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Nova |
2017 |
Hariharan A, Adam MTP, Dorner V, Lux E, Müller M, Pfeiffer J, Weinhardt C, 'Brownie: A platform for conducting NeuroIS experiments', Journal of the Association for Information Systems, 18 264-296 (2017) [C1]
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Nova |
2017 |
Jelinek H, Adam MTP, Krones R, Cornforth DJ, 'Diagnostic accuracy of random ECG in primary care for early, asymptomatic cardiac autonomic neuropathy', Journal of Diabetes Science and Technology, 11 1165-1173 (2017) [C1]
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Nova |
2017 |
Adam MTP, Eidels A, Lux E, Teubner T, 'Bidding behavior in Dutch auctions: Insights from a structured literature review', International Journal of Electronic Commerce, 21 363-397 (2017) [C1]
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Nova |
2017 |
Jung D, Adam M, Dorner V, Hariharan A, 'A Practical Guide for Human Lab Experiments in Information Systems Research: A Tutorial with Brownie', Journal of Systems and Information Technology, 19 228-256 (2017) [C1]
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Nova |
2016 |
Both F, Adam MTP, Hariharan A, Dorner V, Lux E, Weinhardt C, 'A randomized tabu search-based approach for perfect stranger matching in economic experiments', Economics Letters, 145 235-238 (2016) [C1]
Experiments in the field of behavioral economics often require repeated matching of participants to groups over multiple periods. Perfect stranger matching requires that no two pa... [more]
Experiments in the field of behavioral economics often require repeated matching of participants to groups over multiple periods. Perfect stranger matching requires that no two participants interact more than once during the experiment. Computing a sequence of perfect stranger matches is an NP-hard problem that has received little attention in experimental economics literature beyond brute-force approaches. This work provides a problem definition and an algorithm for perfect stranger matching that outperforms existing approaches in the field of experimental economics in terms of problem size and number of found matches.
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Nova |
2016 |
Adam MTP, Astor PJ, Krämer J, 'Affective Images, Emotion Regulation and Bidding Behavior: An Experiment on the Influence of Competition and Community Emotions in Internet Auctions', Journal of Interactive Marketing, 35 56-69 (2016) [C1]
Internet auction sites frequently employ images as design elements on their websites in order to either induce a sense of community or competition among the bidders. In this paper... [more]
Internet auction sites frequently employ images as design elements on their websites in order to either induce a sense of community or competition among the bidders. In this paper, we investigate the impact of such affective images on bidding behavior in a controlled laboratory experiment during which participants' emotional processes are assessed through psychophysiological measurements. Immediately before placing a bid in a first-price sealed-bid auction, bidders are presented a) pictures of competitive sports scenes, b) pictures of families or children, or c) a blank screen. Participants place significantly lower bids when they were exposed to pictures that induce competition emotions as opposed to pictures that induce community emotions. This relationship is moderated by the bidders' emotion regulation strategy. In particular, we find that the more participants try to suppress their emotional responses to the presented images, the more they are affected in their bidding behavior. Our results entail valuable insights about the coherence of emotional stimuli on Internet auction marketplaces and customers' decisions. They also question recent marketing strategies by the market leader.
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Nova |
2016 |
Hariharan A, Adam MTP, Teubner T, Weinhardt C, 'Think, feel, bid: The impact of environmental conditions on the role of bidders' cognitive and affective processes in auction bidding', Electronic Markets, 26 339-355 (2016) [C1]
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Nova |
2015 |
Teubner T, Adam MTP, Niemeyer C, 'Measuring risk preferences in field experiments: Proposition of a simplified task', Economics Bulletin, 35 1510-1517 (2015) [C1]
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Nova |
2015 |
Adam MTP, Krämer J, Müller MB, 'Auction Fever! How Time Pressure and Social Competition Affect Bidders' Arousal and Bids in Retail Auctions', Journal of Retailing, (2015) [C1]
Auction sites on the Internet frequently put bidders under time pressure or highlight the social competition that is inherent to auctions. Both aspects are believed to elicit an e... [more]
Auction sites on the Internet frequently put bidders under time pressure or highlight the social competition that is inherent to auctions. Both aspects are believed to elicit an exciting shopping experience, which may culminate in auction fever. In two laboratory experiments, we investigate the process of auction fever in retail auctions and demonstrate when and how auction fever affects bidding behavior. In contrast to previous studies, we employ physiological measurements as an objective and continuous assessment of bidders' arousal in addition to a subjective assessment of bidders' emotions through psychometric scales. Moreover, we explicitly study the interaction of time pressure and social competition on arousal and bids. We find that bidders' arousal is increased in high time pressure auctions and that this leads to higher bids in ascending auctions-but only when bidders compete with human opponents. Thus, social competition is the actual driver underlying the auction fever phenomenon. Furthermore, we show that the "joy of winning" is significantly stronger than the "frustration of losing" in ascending auctions. Finally, we discuss the implications of our findings for the design of retail auctions.
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Nova |
2015 |
Hariharan A, Adam MTP, Astor PJ, Weinhardt C, 'Emotion regulation and behavior in an individual decision trading experiment: Insights from psychophysiology', Journal of Neuroscience, Psychology, and Economics, 8 186-202 (2015) [C1]
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Nova |
2015 |
Hariharan A, Adam MTP, 'Blended Emotion Detection for Decision Support', IEEE Transactions on Human-Machine Systems, 45 510-517 (2015) [C1]
© 2013 IEEE. Emotion elicitation and classification have been performed on standardized stimuli sets, such as international affective picture systems and international affective d... [more]
© 2013 IEEE. Emotion elicitation and classification have been performed on standardized stimuli sets, such as international affective picture systems and international affective digital sound. However, the literature which elicits and classifies emotions in a financial decision making context is scarce. In this paper, we present an evaluation to detect emotions of private investors through a controlled trading experiment. Subjects reported their level of "rejoice" and "regret" based on trading outcomes, and physiological measurements of skin conductance response and heart rate were obtained. To detect emotions, three labeling methods, namely binary, tri-, and tetrastate "blended" models were compared by means of C4.5, CART, and random forest algorithms, across different window lengths for heart rate. Taking moving window lengths of 2.5 s prior to and 0.3 s postevent (parasympathetic phase) led to the highest accuracies. Comparing labeling methods, accuracies were 67% for binary rejoice, 44% for a tristate, and 45% for a tetrastate blended emotion models. The CART yielded the highest accuracies.
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Nova |
2015 |
Teubner T, Adam MTP, Riordan R, 'The impact of computerized agents on immediate emotions, overall arousal and bidding behavior in electronic auctions', Journal of the Association for Information Systems, 16 838-879 (2015) [C1]
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Nova |
2014 |
Adam MTP, Kroll EB, Teubner T, 'A note on coupled lotteries', Economics Letters, 124 96-99 (2014) [C1]
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2013 |
Astor PJ, Adam MTP, Jercic P, Schaaff K, Weinhardt C, 'Integrating biosignals into information systems: A NeuroIS tool for improving emotion regulation', Journal of Management Information Systems, 30 247-278 (2013) [C1]
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2013 |
Astor PJ, Adam MTP, Jaehnig C, Seifert S, 'The Joy of Winning and the Frustration of Losing: A Psychophysiological Analysis of Emotions in First-Price Sealed-Bid Auctions', JOURNAL OF NEUROSCIENCE PSYCHOLOGY AND ECONOMICS, 6 14-30 (2013)
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2012 |
Schaaff K, Degen R, Adler N, Adam MTP, 'Measuring affect using a standard mouse device', Biomedical Engineering / Biomedizinische Technik, 57 761-764 (2012) [C1]
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2012 |
Adam MTP, Kraemer J, Weinhardt C, 'Excitement Up! Price Down! Measuring Emotions in Dutch Auctions', International Journal of Electronic Commerce, 17 7-40 (2012) [C1]
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2012 |
Adam MTP, Kroll EB, 'Physiological Evidence of Attraction to Chance', JOURNAL OF NEUROSCIENCE PSYCHOLOGY AND ECONOMICS, 5 152-165 (2012)
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2011 |
Adam MTP, Kraemer J, Jaehnig C, Seifert S, Weinhardt C, 'Understanding auction fever: a framework for emotional bidding', Electronic Markets, 21 197-207 (2011) [C1]
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