SMARTACT Teilprojekt 6: Smartmobility / SMARTACT 2 Teilprojekt 6
- FB Informatik und Informationswissenschaft
|(2019): The Point-of-Choice Prompt or the Always-On Progress Bar? : A Pilot Study of Reminders for Prolonged Sedentary Behavior Change Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. - New York, NY : ACM Press, 2019. - LBW0213. - ISBN 978-1-4503-5971-9|
The Point-of-Choice Prompt or the Always-On Progress Bar? : A Pilot Study of Reminders for Prolonged Sedentary Behavior Change
Prolonged sedentary behavior contributes to many chronic diseases. An appropriate reminder could help screen-based workers to reduce their prolonged sedentary behavior. The fixed-duration point-of-choice prompt has been frequently used in related work. However, this prompting system has several drawbacks. In this paper, we propose the SedentaryBar, a context-aware reminding system using an always-on progress bar to show the duration of a working session, as an alternative to the prompt. The new reminding system uses both users' keyboard/mouse events on the computer and the state-of-the-art computer vision algorithm with the webcam to detect users' presence, which makes the system more accurate and intelligent. Our evaluation study compared the SedentaryBar and the prompt using subjective and objective measurements. After using each method for a week respectively, more participants preferred the SedentaryBar. The participants' perceived interruption and usefulness also suggested the SedentaryBar was more popular during the study. However, the logged data of the participants' working durations indicated the prompt was more effective in reducing their sedentary behavior.
|(2018): Persuasive Technology in Reducing Prolonged Sedentary Behavior at Work : A Systematic Review Smart Health ; 7-8 (2018). - S. 19-30. - eISSN 2352-6483|
Prolonged sedentary behavior is prevalent among office workers and has been found to be detrimental to health. Preventing and reducing prolonged sedentary behavior require interventions, and persuasive technology is expected to make a contribution in this domain. In this paper, we use the framework of persuasive system design (PSD) principles to investigate the utilization and effectiveness of persuasive technology in intervention studies at reducing sedentary behavior at work. This systematic review reveals that reminders are the most frequently used PSD principle. The analysis on reminders shows that hourly PC reminders alone have no significant effect on reducing sedentary behavior at work, while coupling with education or other informative session seems to be promising. Details of deployed persuasive technology with behavioral theories and user experience evaluation are expected to be reported explicitly in the future intervention studies.
|(2018): Comparing Sequential and Temporal Patterns from Human Mobility Data for Next-Place Prediction Proceedings of UMAP '18 : Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization. - New York : ACM Press, 2018. - S. 157-164. - ISBN 978-1-4503-5784-5|
In the domain of human behavior prediction, next-place prediction is an active research field. While prior work has applied sequential and temporal patterns for next-place prediction, no work has yet studied the prediction performance of combining sequential with temporal patterns compared to using them separately. In this paper, we address next-place prediction using the sequential and temporal patterns embedded in human mobility data that has been collected using the GPS sensor of smartphones. We test five next-place prediction methods, including single pattern-based methods and hybrid methods that combine temporal and sequential patterns. Instead of only examining average accuracy as in related work, we additionally evaluate the selected methods using incremental-prediction accuracy on two publicly available datasets (the MDC dataset and the StudentLife dataset). Our results suggest that (1) integrating multiple patterns is not necessarily more effective than using single patterns in average prediction accuracy, (2) most of the tested methods can outperform others for a certain time period (either for the prediction of all places or each place individually), and (3) average prediction accuracies of the top-three candidates using sequential patterns are relatively high (up to 0.77 and 0.91 in the median for both datasets). For real-time applications, we recommend applying multiple methods in parallel and choosing the prediction of the best method according to incremental-prediction accuracy. Lastly, we present an expert tool for visualizing the prediction results.
|(2018): Clusters, Trends, and Outliers : How Immersive Technologies Can Facilitate the Collaborative Analysis of Multidimensional Data Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. - New York, NY : ACM Press, 2018. - 90. - ISBN 978-1-4503-5620-6|
Clusters, Trends, and Outliers : How Immersive Technologies Can Facilitate the Collaborative Analysis of Multidimensional Data
Immersive technologies such as augmented reality devices are opening up a new design space for the visual analysis of data. This paper studies the potential of an augmented reality environment for the purpose of collaborative analysis of multidimensional, abstract data. We present ART, a collaborative analysis tool to visualize multidimensional data in augmented reality using an interactive, 3D parallel coordinates visualization. The visualization is anchored to a touch-sensitive tabletop, benefiting from well-established interaction techniques. The results of group-based, expert walkthroughs show that ART can facilitate immersion in the data, a fluid analysis process, and collaboration. Based on the results, we provide a set of guidelines and discuss future research areas to foster the development of immersive technologies as tools for the collaborative analysis of multidimensional data.
|(2017): InformationSense : Trade-offs for the Design and the Implementation of a Large Highly Deformable Cloth Display Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies ; 1 (2017), 2. - 7. - eISSN 2474-9567|
InformationSense : Trade-offs for the Design and the Implementation of a Large Highly Deformable Cloth Display
Deformable displays can provide two major benefits compared to rigid displays: Objects of different shapes and deformabilities, situated in our physical environment, can be equipped with deformable displays, and users can benefit from their pre-existing knowledge about the interaction with physical objects when interacting with deformable displays. In this article we present InformationSense, a large, highly deformable cloth display. The article contributes to two research areas in the context of deformable displays: It presents an approach for the tracking of large, highly deformable surfaces, and it presents one of the first UX analyses of cloth displays that will help with the design of future interaction techniques for this kind of display. The comparison of InformationSense with a rigid display interface unveiled the trade-off that while users are able to interact with InformationSense more naturally and significantly preferred InformationSense in terms of joy of use, they preferred the rigid display interfaces in terms of efficiency. This suggests that deformable displays are already suitable if high hedonic qualities are important but need to be enhanced with additional digital power if high pragmatic qualities are required.
|(2017): Remote Collaboration With Mixed Reality Displays : How Shared Virtual Landmarks Facilitate Spatial Referencing Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems - CHI '17 / Mark, Gloria et al. (Hrsg.). - New York, USA : ACM Press, 2017. - S. 6481-6486. - ISBN 978-1-4503-4655-9|
Remote Collaboration With Mixed Reality Displays : How Shared Virtual Landmarks Facilitate Spatial Referencing
HCI research has demonstrated Mixed Reality (MR) as being beneficial for co-located collaborative work. For remote collaboration, however, the collaborators' visual contexts do not coincide due to their individual physical environments. The problem becomes apparent when collaborators refer to physical landmarks in their individual environments to guide each other's attention. In an experimental study with 16 dyads, we investigated how the provisioning of shared virtual landmarks (SVLs) influences communication behavior and user experience. A quantitative analysis revealed that participants used significantly less ambiguous spatial expressions and reported an improved user experience when SVLs were provided. Based on these findings and a qualitative video analysis we provide implications for the design of MRs to facilitate remote collaboration.
|(2016): Supporting Self-Assembly : A Demo on Mobile Health Apps MMHealth '16 : Proceedings of the 2016 ACM Workshop on Multimedia for Personal Health and Health Care. - New York, NY : ACM, 2016. - S. 49. - ISBN 978-1-4503-4518-7|
This is the demo version of our workshop paper (Supporting Self-Assembly: The IKEA Effect on Mobile Health Persuasive Technology). We describe our proposal and experimental plan in this demo.
|(2016): Fingerprints : detecting meaningful moments for mobile health intervention MobileHCI '16 : Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct. - New York, NY : ACM, 2016. - S. 1085-1088. - ISBN 978-1-4503-4413-5|
Personalized and contextual interventions are promising techniques for mobile persuasive technologies in mobile health. In this paper, we propose the "fingerprints" technique to analyze the users' daily behavior patterns to find the meaningful moments to better support mobile persuasive technologies, especially mobile health interventions. We assume that for many persons, their behaviors have patterns and can be detected through the sensor data from smartphones. We develop a three-step interactive machine learning workflow to describe the concept and approach of the "fingerprints" technique. By this we aim to implement a practical and light-weight mobile intervention system without burdening the users with manual logging. In our feasibility study, we show results that provide first insights into the design of the "fingerprints" technique.
|(2016): Supporting Self-Assembly : the IKEA Effect on Mobile Health Persuasive Technology MMHealth '16 : Proceedings of the 2016 ACM Workshop on Multimedia for Personal Health and Health Care. - New York, NY : ACM, 2016. - S. 19-22. - ISBN 978-1-4503-4518-7|
In this paper, we propose the idea of examining the effect of self-assembly on the success of mobile health persuasive technology. The IKEA effect shows that individuals evaluate products assembled by themselves more positively than pre-assembled products. The IKEA effect has been proven in several domains, e.g., in human robot interaction, where participants who assembled the robot evaluated the robot and the interaction with the robot more favorably than participants who did not assemble the robot themselves. We propose that the IKEA effect exists in the context of mobile health persuasive technology and has high potential for improving users' engagement and long-term user experience of mobile health persuasive applications. In this paper, we describe the IKEA effect and its potential for mobile health applications. In addition, we propose an experimental design to analyze the effect of self-assembly on user engagement and satisfaction.
|(2016): Lightweight Visual Data Analysis on Mobile Devices : Providing Self-Monitoring Feedback VVH 2016 : Valuable Visualization of Healthcare Information: from the quantified self data to conversations ; Proceedings of the Workshop on Valuable Visualization of Healthcare Information: from the quantified self data to conversations ; Bari, Italy, June 7th, 2016 / Cabitza, Federico et al. (Hrsg.). - (CEUR Workshop Proceedings ; 1658). - S. 28-34. - eISSN 1613-0073|
Butscher, Simon; Wang, Yunlong; Ziesemer, Katrin; Villinger, Karoline; Wahl, Deborah; König, Laura; Sproesser, Gudrun; Renner, Britta; Schupp, Harald T.; Reiterer, Harald
|(2016): Immersive Analysis of Health-Related Data with Mixed Reality Interfaces : Potentials and Open Questions ISS Companion '16 Proceedings of the 2016 ACM : Companion on Interactive Surfaces and Spaces / Hancock, Mark (Hrsg.). - New York : ACM, 2016. - S. 71-76. - ISBN 978-1-4503-4530-9|
Immersive Analysis of Health-Related Data with Mixed Reality Interfaces : Potentials and Open Questions
In this paper we propose Mixed Reality (MR) interfaces as tools for the analysis and exploration of health-related data. Reported findings originate from the research project "SMARTACT" in which several intervention studies are conducted to investigate how participants' long-term health behavior can be improved. We conducted a focus group to identify limitations of current data analysis technologies and practices, possible uses of MR interfaces and associated open questions to leverage their potentials in the given domain.
|(2015): Proxemics-Aware Multi-Focus Visualizations to Support Mutual Awareness during Co-located Collaboration Workshop on Collaboration Meets Interactive Surfaces (CMIS)|
Proxemics-Aware Multi-Focus Visualizations to Support Mutual Awareness during Co-located Collaboration
Butscher, Simon; Reiterer, Harald
|(2015): Mixed Reality Environments as Ecologies for Cross-Device Interaction Cross-Surface : interacting with multi-device ecologies in the wild : proceedings of Cross-Surface 2015 / Houben, Steven; Reiterer, Harald et al. (Hrsg.). - S. 37-41|
In Mixed Reality (MR) environments, virtual objects can be represented as if they were situated in the viewer’s physical environment. While the potentials of MR have been recognized and extensively researched for single user scenarios (e.g., in perceptual studies), MR for collaborative scenarios has not been widely investigated. In this paper we propose MR environments as ecologies for collaborative, cross-device interaction. We provide a scenario that illustrates its potentials and discuss possible research directions. We then present intermediate results of our research.
|Bundesministerium für Bildung und Forschung||418/15||TP 6 zum Verbundprojekt FP 414/15 Renner||01.02.2015 – 31.01.2018|
|Bundesministerium für Bildung und Forschung||559/18||01.04.2018 – 31.03.2021|
|Laufzeit:||01.02.2015 – 31.01.2018|