ABSTRACT
Enabling phones to infer whether they are currently in a pocket, purse or on a table facilitates a range of new interactions from placement-dependent notifications setting to preventing "pocket dialing". We collected data from 693 participants to understand where people keep their phone in different contexts and why. Using this data, we identified three placement personas: Single Place Pat, Consistent Casey, and All-over Alex. Based on these results, we collected two weeks of labeled accelerometer data in-situ from 32 participants. We used this data to build models for inferring phone placement, achieving an accuracy of approximately 85% for inferring whether the phone is in an enclosed location and for inferring if the phone is on the user. Finally, we prototyped a capacitive grid and a multispectral sensor and collected data from 15 participants in a laboratory to understand the added value of these sensors.
- Dey, A. K., et al. Getting Closer: An Empirical Investigation of the Proximity of Users to their Smart Phones. In Proc. Ubicomp 2011. Google ScholarDigital Library
- Hall, M. Frank, E., Holmes, G., Pfahringer, B.. Reutemann, P., Witten, I. The WEKA data mining software: an update. SIGKDD Explor. Newsl. 11, 1, Nov. 2009. Google ScholarDigital Library
- Harrison, C., Hudson, S. E. Lightweight material detection for placement-aware mobile computing. In Proc. UIST 2008. Google ScholarDigital Library
- Ichikawa, F., Chipchase, J., Grignani, R. Where's the phone? a study of mobile phone location in public spaces. Mobile Technology, Applications and Systems, 2005.Google Scholar
- Kunze, K., Lukowicz, P., Junker, H., Tröster, G. Where am I: Recognizing On-Body Positions of Wearable Sensors. In Proc. LoCA 2005. Google ScholarDigital Library
- Kunze, K., Lukowicz, P. Symbolic object localization through active sampling of acceleration and sound signatures. In Proc. UbiComp '07. Google ScholarDigital Library
- Miluzzo, E., et al. Pocket, Bag, Hand, etc. Automatically Detecting Phone Context through Discovery. In Proc. PhoneSense 2010.Google Scholar
- Patel, S. N., et al. Farther Than You May Think: An Empirical Investigation of the Proximity of Users to Their Mobile Phones. In Proc. UbiComp 2006. Google ScholarDigital Library
- Saponas, T. S., Harrison, C., Benko, H. PocketTouch: through-fabric capacitive touch input. Proc. UIST 2011. Google ScholarDigital Library
- Shafer, I. Learning Location from Vibration. http://www.mrcaps.com/proj/LocationVibration/files/vibration-ishafer-paper.pdfGoogle Scholar
- Shi, Y., Shi, Y., Liu, J. A rotation based method for detecting on-body positions of mobile devices. In Proc. UbiComp 2011. Google ScholarDigital Library
- Siewiorek, D., et al. SenSay: A Context-Aware Mobile Phone. In Proc. ISWC 2003. Google ScholarDigital Library
- Tsai, M., et al. Polite ringer II: a ringtone interaction system using sensor fusion. In Proc UbiComp 2011. Google ScholarDigital Library
- Vahdatpour, A., Amini, N., Sarrafzadeh, M. On-body device localization for health and medical monitoring applications. In Proc. Percom 2011. Google ScholarDigital Library
- Wimmer, R., Boring, S. HandSense: discriminating different ways of grasping and holding a tangible user interface. In Proc. TEI 2009. Google ScholarDigital Library
Index Terms
- Phoneprioception: enabling mobile phones to infer where they are kept
Recommendations
An Implicit Smart Interaction Orienting to the Context Semantics of Mobile Device
CSAI '18: Proceedings of the 2018 2nd International Conference on Computer Science and Artificial IntelligenceNowadays mobile handsets are used more and more widely in every aspect of our life. Mobile phones and PDAs have more powerful computing capacity with high performance of sensors such as GPS, Bluetooth, accelerometer, etc. These characteristics can make ...
An energy-balanced swept-coverage mechanism for mobile WSNs
Coverage is one of the most important issues in Wireless Sensor Networks (WSNs). In literature, many coverage mechanisms have been proposed and employed mobile sensors to cover (heal) the coverage holes in the monitoring region. Consider that there are ...
Context aware service provisioning in mobile grid
In mobile grid, it is necessary to maintain end users' needs while addressing issues such as rapid, unpredictable changes of highly mobile contexts in which wireless mobile devices operate. Context-aware mobile grid services that exploit information ...
Comments