Markus Löchtefeld
Sebastian Boring
ABSTRACT
Often, we operate mobile devices using only one hand. The hand thereby serves two purposes: holding the device and operating the touch screen with the thumb. The current trend of increasing screen sizes however, makes it close to impossible to reach all parts of the screen (especially the top area) for users with average hand sizes. One solution is to offer adaptive user interfaces for such one-handed interactions. These modes have to be triggered manually and thus induce a critical overhead. They are further designed to bring all content closer, regardless of whether the phone is operated with the left or right hand. In this paper, we present an algorithm that allows determining the users' interacting hand from their unlocking behavior. Our algorithm correctly distinguishes one- and two-handed usage as well as left- and right handed unlocking in 98.51% of all cases. This is achieved through a k-nearest neighbor comparison of the internal sensor readings of the smartphone during the unlocking process.
- Vimala Balakrishnan and Paul HP Yeow. 2008. A study of the effect of thumb sizes on mobile phone texting satisfaction. Journal of Usability Studies 3, 3 (2008), 118--128. Google Scholar
Digital Library
- Joanna Bergstrom-Lehtovirta and Antti Oulasvirta. 2014. Modeling the Functional Area of the Thumb on Mobile Touchscreen Surfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14). ACM, New York, NY, USA, 1991-2000. DOI: http://dx.doi.org/10.1145/2556288.2557354 Google ScholarDigital Library
- Cheng Bo, Lan Zhang, Xiang-Yang Li, Qiuyuan Huang, and Yu Wang. 2013. SilentSense: Silent User Identification via Touch and Movement Behavioral Biometrics. In Proceedings of the 19th Annual International Conference on Mobile Computing & Networking (MobiCom '13). ACM, New York, NY, USA, 187-190. DOI: http://dx.doi.org/10.1145/2500423.2504572 Google ScholarDigital Library
- Sebastian Boring, David Ledo, Xiang 'Anthony' Chen, Nicolai Marquardt, Anthony Tang, and Saul Greenberg. 2012. The Fat Thumb: Using the Thumb's Contact Size for Single-handed Mobile Interaction. In Proceedings of the 14th International Conference on Human-computer Interaction with Mobile Devices and Services Companion (MobileHCI '12). ACM, New York, NY, USA, 207-208. DOI:http://dx.doi.org/10.1145/2371664.2371711 Google ScholarDigital Library
- Lung-Pan Cheng, Hsiang-Sheng Liang, Che-Yang Wu, and Mike Y. Chen. 2013. iGrasp: Grasp-based Adaptive Keyboard for Mobile Devices. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '13). ACM, New York, NY, USA, 3037-3046. DOI: http://dx.doi.org/10.1145/2470654.2481422 Google ScholarDigital Library
- Alexander De Luca, Alina Hang, Frederik Brudy, Christian Lindner, and Heinrich Hussmann. 2012. Touch Me Once and I Know It's You!: Implicit Authentication Based on Touch Screen Patterns. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '12). ACM, New York, NY, USA, 987-996. DOI:http://dx.doi.org/10.1145/2207676.2208544 Google ScholarDigital Library
- Mayank Goel, Jacob Wobbrock, and Shwetak Patel. 2012. GripSense: Using Built-in Sensors to Detect Hand Posture and Pressure on Commodity Mobile Phones. In Proceedings of the 25th Annual ACM Symposium on User Interface Software and Technology (UIST '12). ACM, New York, NY, USA, 545-554. DOI: http://dx.doi.org/10.1145/2380116.2380184 Google ScholarDigital Library
- Kee-Eung Kim, Wook Chang, Sung-Jung Cho, Junghyun Shim, Hyunjeong Lee, Joonah Park, Youngbeom Lee, and Sangryong Kim. 2006. Hand Grip Pattern Recognition for Mobile User Interfaces. In Proceedings of the 18th Conference on Innovative Applications of Artificial Intelligence - Volume 2 (IAAI'06). AAAI Press, 1789--1794. httpp://dl.acm.org/citation.cfm?id=1597122.1597138 Google ScholarDigital Library
- Sunjun Kim, Jihyun Yu, and Geehyuk Lee. 2012. Interaction Techniques for Unreachable Objects on the Touchscreen. In Proceedings of the 24th Australian Computer-Human Interaction Conference (OzCHI '12). ACM, New York, NY, USA, 295-298. DOI: http://dx.doi.org/10.1145/2414536.2414585 Google ScholarDigital Library
- Hosub Lee and Young Sang Choi. 2011. Fit Your Hand: Personalized User Interface Considering Physical Attributes of Mobile Device Users. In Proceedings of the 24th Annual ACM Symposium Adjunct on User Interface Software and Technology (UIST '11 Adjunct). ACM, New York, NY, USA, 59-60. DOI: http://dx.doi.org/10.1145/2046396.2046422 Google ScholarDigital Library
- Markus Löchtefeld, Christoph Hirtz, and Sven Gehring. 2013. Evaluation of Hybrid Front- and Back-of-device Interaction on Mobile Devices. In Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia (MUM '13). ACM, New York, NY, USA, Article 17, 4 pages. DOI: http://dx.doi.org/10.1145/2541831.2541865 Google ScholarDigital Library
- Mohammad Faizuddin Mohd Noor, Andrew Ramsay, Stephen Hughes, Simon Rogers, John Williamson, and Roderick Murray-Smith. 2014. 28 Frames Later: Predicting Screen Touches from Back-of-device Grip Changes. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14). ACM, New York, NY, USA, 2005-2008. DOI: http://dx.doi.org/10.1145/2556288.2557148 Google ScholarDigital Library
- Brandon T. Taylor and V Michael Bove. 2008. The Bar of Soap: A Grasp Recognition System Implemented in a Multi-functional Handheld Device. In CHI '08 Extended Abstracts on Human Factors in Computing Systems (CHI EA '08). ACM, New York, NY, USA, 3459-3464. DOI: http://dx.doi.org/10.1145/1358628.1358874 Google ScholarDigital Library
- Matthieu B Trudeau, Justin G Young, Devin L Jindrich, and Jack T Dennerlein. 2012. Thumb motor performance varies with thumb and wrist posture during single-handed mobile phone use. Journal of biomechanics 45, 14 (2012), 2349--2354.Google ScholarCross Ref
- Daryl Weir, Simon Rogers, Roderick Murray-Smith, and Markus Löchtefeld. 2012. A User-specific Machine Learning Approach for Improving Touch Accuracy on Mobile Devices. In Proceedings of the 25th Annual ACM Symposium on User Interface Software and Technology (UIST '12). ACM, New York, NY, USA, 465-476. DOI: http://dx.doi.org/10.1145/2380116.2380175 Google ScholarDigital Library
- Raphael Wimmer and Sebastian Boring. 2009. HandSense: Discriminating Different Ways of Grasping and Holding a Tangible User Interface. In Proceedings of the 3rd International Conference on Tangible and Embedded Interaction (TEI '09). ACM, New York, NY, USA, 359-362. DOI: http://dx.doi.org/10.1145/1517664.1517736 Google ScholarDigital Library
Index Terms
- Detecting users handedness for ergonomic adaptation of mobile user interfaces
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