Investigating Self-Reporting Behavior in Long-Term Studies


Abstract. Self-reporting techniques, such as data logging or a diary, are frequently used in long-term studies, but prone to subjects' forgetfulness and other sources of inaccuracy. We conducted a six-week self-reporting study on smartphone usage in order to investigate the accuracy of self-reported information, and used logged data as ground truth to compare the subjects' reports against. Subjects never recorded more than 70% and, depending on the requested reporting interval, down to less than 40% of actual app usages. They significantly overestimated how long they used apps. While subjects forgot self-reports when no automatic reminders were sent, a high reporting frequency was perceived as uncomfortable and burdensome. Most significantly, self-reporting even changed the actual app usage of users and hence can lead to deceptive measures if a study relies on no other data sources.
With this contribution, we provide empirical quantitative long-term data on the reliability of self-reported data collected with mobile devices. We aim to make researchers aware of the caveats of self-reporting and give recommendations for maximizing the reliability of results when conducting large-scale, long-term app usage studies.

Relevant Publications:

[1]
A. Möller, M. Kranz, B. Schmid, L. Roalter, S. Diewald
Investigating Self-Reporting Behavior In Long-Term Studies
In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2013), pp. 2931-2940, Paris, France, April-May 2013.
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GymSkill: Mobile Exercise Skill Assessment to Support Personal Health and Fitness


Abstract. GymSkill, a personal trainer for the smartphone, is contributing to regular physical activity and a healthier lifestyle. GymSkill incorporates automated exercise skill assessment, allowing to track training success as well as the need for improvement. Precise and targeted feedback can increase satisfaction through more efficient training, thereby addressing the important and often neglected aspect of intrinsic motivation. In a fi rst 5-day study, users attested GymSkill the potential to reach training goals faster and to support maintaining long-term motivation. The video shows the app, its features, and the training.

Relevant Publications

[1]
A. Möller, J. Scherr, L. Roalter, S. Diewald, N. Hammerla, T. Plötz, P. Olivier, M. Kranz
GymSkill: Mobile Exercise Skill Assessment to Support Personal Health and Fitness
In: Video Proceedings of the 9th International Conference on Pervasive Computing (Pervasive 2011), San Francisco, CA, USA, June 2011
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MobiDics - Improving University Education With A Mobile Didactics Toolbox


Abstract. MobiDics is a mobile didactic platform for smartphones and tablets, targeted at university teaching sta . It eases structuring courses and the targeted application of didactic techniques to support learning, in order to improve the quality of university education. MobiDics enables peer learning through cooperative experience sharing and academic exchange about successfully applied didactic techniques, creating a social network of teaching personnel. Young teachers benefi t from expert knowledge and multimedia-based example teaching scenarios. As a social mobile knowledge exchange system, MobiDics is intended to increase satisfaction in teaching and to improve the quality of university education.

Related Publications

[2]
A. Möller, A. Thielsch, B. Dallmeier, A. Hendrich, B. Meyer, L. Roalter, S. Diewald, M. Kranz
MobiDics - Eine mobile Didaktik-Toolbox für die universitäre Lehre
In: 9. e-Learning Fachtagung Informatik der Gesellschaft f. Informatik e.V. (DeLFI 2011), pp. 139-150, Dresden, Germany, September 2011
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[1]
A. Möller, A. Thielsch, B. Dallmeier, L. Roalter, S. Diewald, A. Hendrich, B. Meyer, M. Kranz
MobiDics - Improving University Education With A Mobile Didactics Toolbox
In: Video Proceedings of the 9th International Conference on Pervasive Computing (Pervasive 2011), San Francisco, CA, USA, June 2011
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ROS on Android - Porting the Robot Operating System to the Android Platform


In this video, the integration of the Android platform with ROS (Robot Operating System) using rospy is shown. The video illustrates the communication using basic ROS topics as text and images and shows a light control scenario as example.

Related Publications

[2]
L. Roalter, A. Möller, S. Diewald, M. Kranz
Developing Intelligent Environments: A Development Tool Chain for Creation, Testing and Simulation of Smart and Intelligent Environments
In: Proceedings of the 7th International Conference on Intelligent Environments (IE 2011), pp. 214-221, Nottingham, UK, July 2011
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[1]
S. Diewald
Implementation of a Development Toolchain for the Simulation of Mobile Devices using the ROS Middleware
Diplomarbeit, Lehrstuhl für Medientechnik, Fachgebiet Verteilte Multimodale Informationsverarbeitung, Technische Universität München, 2011
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Developing Intelligent Environments with the Robot Operating System (ROS)


This video illustrates the development and prototyping of intelligent environments using ROS.

Related Publications

[2]
L. Roalter, A. Möller, S. Diewald, M. Kranz
Developing Intelligent Environments: A Development Tool Chain for Creation, Testing and Simulation of Smart and Intelligent Environments
In: Proceedings of the 7th International Conference on Intelligent Environments (IE 2011), pp. 214-221, Nottingham, UK, July 2011
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[1]
L. Roalter, M. Kranz, A. Möller
A Middleware for Intelligent Environments and the Internet of Things
In: Ubiquitous Intelligence and Computing (UIC), 6406, pp. 267-281, Springer Berlin/Heidelberg, October 2010
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A Whiteboard Cleaning Robot - Robotic Assistants for Office Environments


This video illustrates the inclusion of robots in Intelligent Environments. A scenario using a whiteboard cleaning robot as robotic assistant in an augmented office is demonstrated.

Related Publications

[1]
S. Diewald
Development of a mobile robot system for an office environment
Bachelor Thesis, Lehrstuhl für Medientechnik, Fachgebiet Verteilte Multimodale Informationsverarbeitung, Technische Universität München, 2010
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A Cognitive Cup as Example for Intelligent Objects supporting both Humans and Robots in Intelligent Environments


Cognitive Objects can support both humans and robots in intelligent environments. The video shows a cognitive cup that is usable like a normal cup, but augmented with sensors and communication abilities, which eases robotic interaction with the object.

Related Publications

[1]
F. Greimel
Embedded Sensing and Actuation - Intergration von eingebetteten Systemen in Alltagsgegenstände
Bachelor Thesis, Lehrstuhl für Medientechnik, Fachgebiet Verteilte Multimodale Informationsverarbeitung, Technische Universität München, 2009
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