Abstract
Capacitive sensing technology has become a promising solution to alleviating the hardware constraints of mobile interaction methods. However, little is known about users’ perception and satisfaction of the integrated capacitive touch interaction and conventional inputs on mobile devices. This study examined users’ performance of using a traditional 4-way navigation control enhanced with capacitive touch interaction. Findings from this investigation indicate that the additional capacitive interaction mode does not necessarily improve users’ performance or perception of mobile navigation tasks. Although users welcome the innovative interaction techniques supported by the traditional cell phone keypad, it is crucial that the touch-based interaction is easy to discover, easy to maneuver, and does not impede users’ conventional interactivity on mobile devices.
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Parhi, P., Karlson, A., Bederson, B.: Target Size Study for One-Handed Thumb Use on Small Touchscreen Devices. In: MobileHCI 2006, Espoo, Finland, pp. 203–210. ACM Press, New York (2006)
Roudaut, A., Huot, S., Lecolinet, E.: TapTap and MagStick: Improving one-hand target acquisition on small touch-screens. AVI, Napoli, Italy, 146-153 (2008)
Hinckley, K., Sinclair, M.: Touch-Sensing Input Devices. In: CHI 1999, Pittsburgh, Pennsylvania, pp. 223–230. ACM Press, New York (1999)
Hinckley, K., Pierce, J., Sinclair, M., Horvitz, E.: Sensing Techniques for Mobile Interaction. In: UIST 2000, San Diego, California, pp. 91–100. ACM Press, New York (2000)
Clarkson, E., Patel, S., Pierce, J., Abowd, G.: Exploring Continuous Pressure Input for Mobile Phones. GVU Technical Report (2006), http://hdl.handle.net/1853/13138
Rekimoto, J.: SmartSkin: An Infrastructure for Freehand Manipulation on Interactive Surfaces. In: CHI 2002, Minneapolis, Minnesota, pp. 113–120. ACM Press, New York (2002)
Rekimoto, J.: ThumbSense: Automatic Input Mode Sensing for Touchpad-Based Interactions. In: CHI 2003, Fort Lauderdale, Florida, pp. 852–853. ACM Press, New York (2003)
Rekimoto, J., Ishizawa, T., Oba, H.: SmartPad: A Finger-Sensing Keypad for Mobile Interaction. In: CHI 2003, Fort Lauderdale, Florida, pp. 850–851. ACM Press, New York (2003)
Rekimoto, J., Ishizawa, T., Schwesig, C., Oba, H.: PreSense: Interaction Techniques for Finger Sensing Input Devices. In: UIST 2003, Vancouver, British Columbia, Canada, pp. 203–212. ACM Press, New York (2003)
NASA TLX subjective workload assessment scale, http://iac.dtic.mil/hsiac/docs/TLX-UserManual.pdf
Hart, S., Staveland, L.: Development of Nasa-TLX (Task Load Index): Results of Empirical and Theoretical Research. In: Hancock, P.A., Meshkati, N. (eds.) Human Mental Workload. Elsevier, North-Holland (1988)
Mustonen, T., Olkkonen, M., Hakkinen, J.: Examining Mobile Phone Text Legibility while Walking. In: CHI 2004, Vienna, Austria, pp. 1243–1246. ACM Press, New York (2004)
Park, S., Harada, A., Igarashi, H.: Influences of Personal Preference on Product Usability. In: CHI 2006, Montréal, Québec, Canada, pp. 87–92. ACM Press, New York (2006)
Öquist, G., Lundin, K.: Eye Movement Study of Reading Text on a Mobile Phone Using Paging, Scrolling, Leading, and RSVP. In: MUM 2007, Oulu, Finland, pp. 176–183. ACM Press, New York (2007)
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Xu, S., Bradburn, K. (2011). Usability Issues in Introducing Capacitive Interaction into Mobile Navigation. In: Salvendy, G., Smith, M.J. (eds) Human Interface and the Management of Information. Interacting with Information. Human Interface 2011. Lecture Notes in Computer Science, vol 6772. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21669-5_51
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DOI: https://doi.org/10.1007/978-3-642-21669-5_51
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