In light of the globally increasing prevalence of diet-related non-communicable diseases (NCDs), ... more In light of the globally increasing prevalence of diet-related non-communicable diseases (NCDs), new scalable and non-invasive dietary monitoring techniques are urgently needed. Automatically collected digital receipts from loyalty cards have the potential to serve as an objective and automatically traceable digital biomarker for individual food choice behavior and do not require patients to manually log each individual meal item. Until recently, such electronic purchase records were hard to collect for researchers and were only validated in national empirical studies. Multiple quantitative indicators for purchase quality have been suggested, but so far no comparison has validated the potential of these alternative indicators to discriminate between health-beneficial and -detrimental food choices. With the introduction of the General Data Privacy Regulation in the European Union, millions of consumers gained the right to access their purchase data in a machine-readable form, represe...
BACKGROUND Insufficient physical activity and unhealthy diets are contributing to the rise in non... more BACKGROUND Insufficient physical activity and unhealthy diets are contributing to the rise in non-communicable diseases. Preventative mobile health (mHealth) interventions may enable reversing this trend, but present bias might reduce their effectiveness. Future-self avatar interventions have resulted in behavior change in related fields, yet evidence whether such interventions can change health behavior is lacking. OBJECTIVE Our primary objectives are to investigate the impact of a future-self avatar mHealth intervention on physical activity and food purchasing behavior, and to examine the feasibility of a novel automated nutrition tracking system. We also aim to understand how this intervention impacts related attitudinal and motivational constructs. METHODS We conducted a 12-week parallel randomized-controlled trial (RCT), followed by semi-structured interviews. German-speaking smartphone users aged ≥18 years living in Switzerland, and using at least one of the two leading Swiss ...
2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2020
Watching sports events via 3D-instead of two-dimensional video streaming allows for increased imm... more Watching sports events via 3D-instead of two-dimensional video streaming allows for increased immersion, e.g. via mixed reality headsets in comparison to traditional screens. So far, capturing 3D video of sports events required expensive outside-in tracking with numerous cameras. This study demonstrates the feasibility of streaming sports content to mixed reality headsets as holographs in real-time using inside-out tracking and low-cost equipment only. We demonstrate our system by streaming a race car on an indoor track as 3D models, which are then rendered in an Magic Leap One headset. An onboard camera, mounted on the race car provides the video stream used to localize the car via computer vision. The localization is estimated by an end-to-end convolutional neural network (CNN). The study compares three state-of-the-art CNN models in their respective accuracy and execution time, with PoseNet + LSTM achieving position and orientation accuracy of 0.35m and 3.95°. The total streaming...
Nutritional education programs have been proposed to counter the trend of excessive energy intake... more Nutritional education programs have been proposed to counter the trend of excessive energy intake, identified as the main driver of overweight. Still, due to lack of resources, only a small part of society can be included in these personnel-intensive programs. Health information systems (HIS) in nutritional education have the potential to overcome these limitations, but still suffer under low end-user acceptance and interaction rates. Their current focus lies in abstract, too generic behavioural recommendations, which the end user cannot directly translate into health-beneficial real-world choices. In order to address these issues, we have built an automatic HIS prototype tailored to support the average consumer in gaining nutritional knowledge by applying paradigms from visual learning and serious gaming, established approaches in related fields to improves users’ acceptance, motivation, intention and ultimately likelihood for health-beneficial behaviour changes. Preliminary result...
As the physical and digital world increasingly merge, more and more information systems are being... more As the physical and digital world increasingly merge, more and more information systems are being used publicly. This paper outlines current gaps in information systems adoption and usage literature with respect to applications where usage happens in public and users can be observed. We present how a purely mobile self-checkout system can be supported with public feedback channels that are designed to make users more comfortable making purchases with the mobile artifact. We illustrate how users that felt uncomfortable yet satisfied with the self-checkout artifact were less likely to make future purchases with the mobile artifact. Furthermore, we outline a field experiment in which we aim to quantify the impact of public feedback on user satisfaction, comfortableness and future usage intention.
Food allergen declarations on packaged products lack coherent regulation, standardisation and the... more Food allergen declarations on packaged products lack coherent regulation, standardisation and therefore manifest in a variety of terminology. This unfortunately leads to a magnitude of preventable allergy-related outbreaks and emergencies, as consumers rely on allergen declaration for selfmanagement. Together with dieticians, we therefore developed a purchase-related barcode scanning mHealth application that utilises a standardised taxonomy of food allergens for the display of userfriendly digital food allergen labels. The application design allowed for an in-the-wild randomised controlled trial, randomly attributing users to two treatment groups that either received icon-based or text-based digital food allergen labels. 74 users met the eligibility criteria for our study. The findings suggest that users in both groups use the application similarly frequently, but users perceive iconbased allergen labels more recommendable and more useful than text-based labels. Especially, users wi...
2018 International Conference on Information and Communication Technology Convergence (ICTC), 2018
There has been a proliferation in the development of diet-related smartphone applications (mHealt... more There has been a proliferation in the development of diet-related smartphone applications (mHealth) that support diet monitoring and can provide health-beneficial interventions. With these developments, the collection of accurate dietary consumption data is becoming an important field in mHealth, as less automated data collection techniques (DCT’s) are often associated with underreporting, ineffective or non-tailored interventions, and self-selection of motivated users and/or high attrition rates. Interventions that incorporate more automated or passive DCT’s have been linked with greater potential for user adoption and engagement, it remains unclear however what DCT’s exist and to what extent mHealth apps incorporate such techniques. As such, the purpose of this study is to investigate the presence of DCTs in well-adopted dietary apps and provide an overview of existing and emerging approaches.
Tanja Schneider, Klaus Fuchs und Simon Mayer widmen sich in ihrem Beitrag der zunehmenden Datafiz... more Tanja Schneider, Klaus Fuchs und Simon Mayer widmen sich in ihrem Beitrag der zunehmenden Datafizierung von Alltagspraktiken und den damit einhergehenden neuen Verantwortungen der Konsumenten*innen aus der Perspektive der Science and Technology Studies (STS). Dabei stellen sie Praktiken des Konsums in den Mittelpunkt, und zwar, wie das Einkaufsverhalten der Konsument*innen digital erfasst und verwertet wird. Am Beispiel ihres kollaborativen und interdisziplinären Forschungsprojekts »FoodCoach« überlegen sie, welche Handlungsspielräume Konsument*innen haben. Darüberhinaus fragen sie, wie sich Verantwortlichkeiten in sogenannten Datenassemblagen (Kitchin und Lauriault, 2015) verschieben oder verschieben lassen und, welche Bedeutung Datenaktivismus in diesem Kontext haben könnte.
A two-pass adaptive filtering algorithm is proposed for cancellation of recurrent interferences s... more A two-pass adaptive filtering algorithm is proposed for cancellation of recurrent interferences such as the heart interference in biomedical signals. In the first pass, an average waveform in one period of the interference is estimated by event-synchronous (QRS-synchronous) averaging of the corrupted signal. In a second pass, an adaptive Schur recursive least squares (RLS) lattice filter is used to cancel the interference by using the event synchronously repeated estimated average waveform of the interference as an artificial reference signal. One key feature of this approach is that the ECG is only used for QRS synchronization and not directly as a reference signal for adaptive filtering. Thus the proposed algorithm can be applied to interference problems where ECG and true interference are almost synchronous but show considerably different waveforms. This is usually the case with the heart interference in biomedical signals. Both off-line and real-time implementations of the event synchronous interference canceller are described. The method is applied to the cancellation of the heart interference in magnetoencephalogram (MEG) signals and to the effective isolation of ventricular extrasystoles (VES) in magnetocardiogram (MCG) signals. Experimental results are shown. The new method typically attenuates the amplitudes of R-wave and T-wave interference components by an amplitude factor of 30 without influencing the MEG events of interest.
In this paper, we review the results of BIOINFOMED, a study funded by the European Commission (EC... more In this paper, we review the results of BIOINFOMED, a study funded by the European Commission (EC) with the purpose to analyse the different issues and challenges in the area where Medical Informatics and Bioinformatics meet. Traditionally, Medical Informatics has been focused on the intersection between computer science and clinical medicine, whereas Bioinformatics have been predominantly centered on the intersection between computer science and biological research. Although researchers from both areas have occasionally collaborated, their training, objectives and interests have been quite different. The results of the Human Genome and related projects have attracted the interest of many professionals, and introduced new challenges that will transform biomedical research and health care. A characteristic of the ‘post genomic’ era will be to correlate essential genotypic information with expressed phenotypic information. In this context, Biomedical Informatics (BMI) has emerged to describe the technology that brings both disciplines (BI and MI) together to support genomic medicine. In recognition of the dynamic nature of BMI, institutions such as the EC have launched several initiatives in support of a research agenda, including the BIOINFOMED study.
In light of the globally increasing prevalence of diet-related non-communicable diseases (NCDs), ... more In light of the globally increasing prevalence of diet-related non-communicable diseases (NCDs), new scalable and non-invasive dietary monitoring techniques are urgently needed. Automatically collected digital receipts from loyalty cards have the potential to serve as an objective and automatically traceable digital biomarker for individual food choice behavior and do not require patients to manually log each individual meal item. Until recently, such electronic purchase records were hard to collect for researchers and were only validated in national empirical studies. Multiple quantitative indicators for purchase quality have been suggested, but so far no comparison has validated the potential of these alternative indicators to discriminate between health-beneficial and -detrimental food choices. With the introduction of the General Data Privacy Regulation in the European Union, millions of consumers gained the right to access their purchase data in a machine-readable form, represe...
BACKGROUND Insufficient physical activity and unhealthy diets are contributing to the rise in non... more BACKGROUND Insufficient physical activity and unhealthy diets are contributing to the rise in non-communicable diseases. Preventative mobile health (mHealth) interventions may enable reversing this trend, but present bias might reduce their effectiveness. Future-self avatar interventions have resulted in behavior change in related fields, yet evidence whether such interventions can change health behavior is lacking. OBJECTIVE Our primary objectives are to investigate the impact of a future-self avatar mHealth intervention on physical activity and food purchasing behavior, and to examine the feasibility of a novel automated nutrition tracking system. We also aim to understand how this intervention impacts related attitudinal and motivational constructs. METHODS We conducted a 12-week parallel randomized-controlled trial (RCT), followed by semi-structured interviews. German-speaking smartphone users aged ≥18 years living in Switzerland, and using at least one of the two leading Swiss ...
2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2020
Watching sports events via 3D-instead of two-dimensional video streaming allows for increased imm... more Watching sports events via 3D-instead of two-dimensional video streaming allows for increased immersion, e.g. via mixed reality headsets in comparison to traditional screens. So far, capturing 3D video of sports events required expensive outside-in tracking with numerous cameras. This study demonstrates the feasibility of streaming sports content to mixed reality headsets as holographs in real-time using inside-out tracking and low-cost equipment only. We demonstrate our system by streaming a race car on an indoor track as 3D models, which are then rendered in an Magic Leap One headset. An onboard camera, mounted on the race car provides the video stream used to localize the car via computer vision. The localization is estimated by an end-to-end convolutional neural network (CNN). The study compares three state-of-the-art CNN models in their respective accuracy and execution time, with PoseNet + LSTM achieving position and orientation accuracy of 0.35m and 3.95°. The total streaming...
Nutritional education programs have been proposed to counter the trend of excessive energy intake... more Nutritional education programs have been proposed to counter the trend of excessive energy intake, identified as the main driver of overweight. Still, due to lack of resources, only a small part of society can be included in these personnel-intensive programs. Health information systems (HIS) in nutritional education have the potential to overcome these limitations, but still suffer under low end-user acceptance and interaction rates. Their current focus lies in abstract, too generic behavioural recommendations, which the end user cannot directly translate into health-beneficial real-world choices. In order to address these issues, we have built an automatic HIS prototype tailored to support the average consumer in gaining nutritional knowledge by applying paradigms from visual learning and serious gaming, established approaches in related fields to improves users’ acceptance, motivation, intention and ultimately likelihood for health-beneficial behaviour changes. Preliminary result...
As the physical and digital world increasingly merge, more and more information systems are being... more As the physical and digital world increasingly merge, more and more information systems are being used publicly. This paper outlines current gaps in information systems adoption and usage literature with respect to applications where usage happens in public and users can be observed. We present how a purely mobile self-checkout system can be supported with public feedback channels that are designed to make users more comfortable making purchases with the mobile artifact. We illustrate how users that felt uncomfortable yet satisfied with the self-checkout artifact were less likely to make future purchases with the mobile artifact. Furthermore, we outline a field experiment in which we aim to quantify the impact of public feedback on user satisfaction, comfortableness and future usage intention.
Food allergen declarations on packaged products lack coherent regulation, standardisation and the... more Food allergen declarations on packaged products lack coherent regulation, standardisation and therefore manifest in a variety of terminology. This unfortunately leads to a magnitude of preventable allergy-related outbreaks and emergencies, as consumers rely on allergen declaration for selfmanagement. Together with dieticians, we therefore developed a purchase-related barcode scanning mHealth application that utilises a standardised taxonomy of food allergens for the display of userfriendly digital food allergen labels. The application design allowed for an in-the-wild randomised controlled trial, randomly attributing users to two treatment groups that either received icon-based or text-based digital food allergen labels. 74 users met the eligibility criteria for our study. The findings suggest that users in both groups use the application similarly frequently, but users perceive iconbased allergen labels more recommendable and more useful than text-based labels. Especially, users wi...
2018 International Conference on Information and Communication Technology Convergence (ICTC), 2018
There has been a proliferation in the development of diet-related smartphone applications (mHealt... more There has been a proliferation in the development of diet-related smartphone applications (mHealth) that support diet monitoring and can provide health-beneficial interventions. With these developments, the collection of accurate dietary consumption data is becoming an important field in mHealth, as less automated data collection techniques (DCT’s) are often associated with underreporting, ineffective or non-tailored interventions, and self-selection of motivated users and/or high attrition rates. Interventions that incorporate more automated or passive DCT’s have been linked with greater potential for user adoption and engagement, it remains unclear however what DCT’s exist and to what extent mHealth apps incorporate such techniques. As such, the purpose of this study is to investigate the presence of DCTs in well-adopted dietary apps and provide an overview of existing and emerging approaches.
Tanja Schneider, Klaus Fuchs und Simon Mayer widmen sich in ihrem Beitrag der zunehmenden Datafiz... more Tanja Schneider, Klaus Fuchs und Simon Mayer widmen sich in ihrem Beitrag der zunehmenden Datafizierung von Alltagspraktiken und den damit einhergehenden neuen Verantwortungen der Konsumenten*innen aus der Perspektive der Science and Technology Studies (STS). Dabei stellen sie Praktiken des Konsums in den Mittelpunkt, und zwar, wie das Einkaufsverhalten der Konsument*innen digital erfasst und verwertet wird. Am Beispiel ihres kollaborativen und interdisziplinären Forschungsprojekts »FoodCoach« überlegen sie, welche Handlungsspielräume Konsument*innen haben. Darüberhinaus fragen sie, wie sich Verantwortlichkeiten in sogenannten Datenassemblagen (Kitchin und Lauriault, 2015) verschieben oder verschieben lassen und, welche Bedeutung Datenaktivismus in diesem Kontext haben könnte.
A two-pass adaptive filtering algorithm is proposed for cancellation of recurrent interferences s... more A two-pass adaptive filtering algorithm is proposed for cancellation of recurrent interferences such as the heart interference in biomedical signals. In the first pass, an average waveform in one period of the interference is estimated by event-synchronous (QRS-synchronous) averaging of the corrupted signal. In a second pass, an adaptive Schur recursive least squares (RLS) lattice filter is used to cancel the interference by using the event synchronously repeated estimated average waveform of the interference as an artificial reference signal. One key feature of this approach is that the ECG is only used for QRS synchronization and not directly as a reference signal for adaptive filtering. Thus the proposed algorithm can be applied to interference problems where ECG and true interference are almost synchronous but show considerably different waveforms. This is usually the case with the heart interference in biomedical signals. Both off-line and real-time implementations of the event synchronous interference canceller are described. The method is applied to the cancellation of the heart interference in magnetoencephalogram (MEG) signals and to the effective isolation of ventricular extrasystoles (VES) in magnetocardiogram (MCG) signals. Experimental results are shown. The new method typically attenuates the amplitudes of R-wave and T-wave interference components by an amplitude factor of 30 without influencing the MEG events of interest.
In this paper, we review the results of BIOINFOMED, a study funded by the European Commission (EC... more In this paper, we review the results of BIOINFOMED, a study funded by the European Commission (EC) with the purpose to analyse the different issues and challenges in the area where Medical Informatics and Bioinformatics meet. Traditionally, Medical Informatics has been focused on the intersection between computer science and clinical medicine, whereas Bioinformatics have been predominantly centered on the intersection between computer science and biological research. Although researchers from both areas have occasionally collaborated, their training, objectives and interests have been quite different. The results of the Human Genome and related projects have attracted the interest of many professionals, and introduced new challenges that will transform biomedical research and health care. A characteristic of the ‘post genomic’ era will be to correlate essential genotypic information with expressed phenotypic information. In this context, Biomedical Informatics (BMI) has emerged to describe the technology that brings both disciplines (BI and MI) together to support genomic medicine. In recognition of the dynamic nature of BMI, institutions such as the EC have launched several initiatives in support of a research agenda, including the BIOINFOMED study.
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