Abstract
This paper proposes various interaction methods for smartphones that allow users to call an intended contact without touching the smartphone screen. Existing applications allow users to answer phone calls without touching the screen—by shaking the phone, for example—but do not allow users to make phone calls. The proposed interaction allows users to select and call an intended contact by utilizing the iPhone’s accelerometer. The interaction also involves video camera scanning for commands to switch between group-selection and individual-selection modes to facilitate the selection of the call candidate. Furthermore, the proposed interaction secures transparency by displaying the camera’s video stream on the smartphone screen. In order to evaluate the efficacy of the interaction, an application using the interaction was developed, and two simple experiments were conducted, in which participants were asked to make phone calls using the application. The success rate was 98 %, and user satisfaction with the proposed interaction was approximately 90 %. Therefore, the results showed that the proposed interaction could be an effective solution to allow users to make phone calls in situations where they cannot physically touch the iPhone screen. Furthermore, this solution could be used in many fields that need interactions with users in mobile applications.
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References
Apple Inc. (2007) Multi-touch gesture dictionary. http://www.google.co.kr/patents/US7840912?dq=apple+patent+Multi-Touch+Gesture. Accessed 1 November 2012
Apple Inc. (2010) Siri. http://en.wikipedia.org/wiki/Siri_(software). Accessed 1 November 2012
Apple Inc. (2011) 3D gesture control in future iPads. http://www.pcmag.com/article2/0,2817,2395469,00.asp#fbid=WU8lMEoxr7S. Accessed 1 November 2012
Azizyan M, Constandache I, Roy Choudhury R (2009) SurroundSense: mobile phone localization via ambience fingerprinting. In: Proc. 15th Annual International Conference on Mobile Computing and Networking. Beijing, China, pp 261–272. doi:10.1145/1614320.1614350
Chung MB, Ko IJ (2012) Intelligent copyright protection system using a matching video retrieval algorithm. Multimedia Tools Appl 59(1):383–401. doi:10.1007/s11042-011-0743-z
Dale R, Roche J, Snyder K, McCall R (2008) Exploring action dynamics as an index of paired-associate learning. PLoS One 3(3):e1728
David M (2012) Munster: Google Beats Apple’s Siri for Accurate Answering. http://www.pcmag.com/article2/0,2817,2406580,00.asp. Accessed 1 November 2012
Gammeter S, Gassmann A, Bossard L, Quack T, Van Gool L (2010) Server-side object recognition and client-side object tracking for mobile augmented reality. In: Proc. 23rd IEEE Conference on Computer Vision and Pattern Recognition. San Francisco, CA, USA, pp 1–8. doi:10.1109/CVPRW.2010.5543248
GlovePIETM (2010) GlovePIE. http://glovepie.org/glovepie.php. Accessed 1 November 2012
Hekka Network Inc (2010) Canyoutalk. http://www.canyoutalk.com. Accessed 1 November 2012
Hinckley K, Horvitz E (2001) Toward more sensitive mobile phones. In: Proc. 14th Annual ACM symposium on User Interface Software and Technology. Orlando, FL, USA, pp 191–192. doi:10.1145/502348.502382
Kim KD (2012) Snap Call - Speed dial. http://itunes.apple.com/us/app/snapcall-speed-dial/id359625967?mt=8. Accessed 1 November 2012
Lane ND, Miluzzo E, Lu H, Peebles D, Choudhury T, Campbell AT (2010) A survey of mobile phone sensing. Commun Mag IEEE 48(9):140–150. doi:10.1109/MCOM.2010.5560598
Lee KW, Suh EH, Park JH (2012) A study on determinant factors to purchase for tablet PC and smartphone by a comparative analysis. In: Proc. 24th Conference on Korean Operations Research and Management Science Society. pp. 233–240. http://www.cimerr.net/conference/board/data/conference24/A4.4.pdf. Accessed 1 November 2012
Lee SY, Zhai SM (2009) The performance of touch screen soft buttons. In: Proc. 27th International Conference on Human Factors in Computing Systems. Boston, USA, pp 309–318. doi:10.1145/1518701.1518750
Linjama J, Häkkilä J, Ronkainen S (2005) Gesture interfaces for mobile devices- minimalist approach for haptic interaction. Position paper in CHI 2005 Workshop Hands on Haptics. Portland, Oregon, USA. http://www.dcs.gla.ac.uk/haptic/sub.html. Accessed 1 November 2012
Lu H, Pan W, Lane ND, Choudhury T, Campbell AT (2009) SoundSense: Scalable sound sensing for people-centric applications on mobile phones. In: Proc. 7th International Conference on Mobile Systems, Applications, and Services. Kraków, Poland, pp 165–178. doi:10.1145/1555816.1555834
Miluzzo E (2011) Smartphone sensing. Doctor of Philosophy. http://sensorlab.cs.dartmouth.edu/pubs/miluzzo-phd-dissertation.pdf. Accessed 1 November 2012
Miluzzo E, Papandrea M, Lane ND, Lu H, Campbell AT (2010) Pocket, Bag, Hand, etc. - Automatically detecting phone context through discovery. In: Proc. 1st International Workshop on Sensing for App Phones. Zurich, Switzerland. doi:http://scholar.google.com/citations?user=XBRpmNwAAAAJ
Nintendo Inc. (2006) Wii Remote. http://en.wikipedia.org/wiki/Wii_Remote. Accessed 1 November 2012
Parikh N (2008) Accelerometer based motion gestures for mobile devices. Master's thesis, San Jose State University
Ronkainen S, Häkkilä J, Kaleva S, Colley A, Linjama J (2007) Tap input as an embedded interaction method for mobile devices. In: Proc. 1st International Conference on Tangible and Embedded Interaction. Baton Rouge, LA, USA, pp 263–270. doi:10.1145/1226969.1227023
Samsung Inc. (2011) Method for providing a UI using motions, and device adopting the method. http://www.sumobrain.com/patents/wipo/Method-providing-ui-using-motions/WO2011025239.html. Accessed 1 November 2012
Shanklin W (2011) Pantech adds 3D gestures to Vega LTE smartphone. http://www.geek.com/articles/mobile/pantech-adds-3d-gestures-to-vega-lte-smartphone-2011111. Accessed 1 November 2012
So-NetFloor (2011) NF Shake Call. http://www.pcworld.com/appguide/app.html?id=790248&expand=false. Accessed 1 November 2012
Ssensoft (2010) Shake it. https://play.google.com/store/apps/details?id=pe.hj.android.shakereceiver. Accessed 1 November 2012
TryPsr (2013) CallMotion. https://play.google.com/store/apps/details?id=com.trypsr&feature=search_result. Accessed 1 November 2012
Wang Y, Lin J, Annavaram M, Jacobson QA, Hong J, Krishnamachari B, Sadeh N (2009) A framework of energy efficient mobile sensing for automatic user state recognition. In: Proc. 7th International Conference on Mobile Systems, Applications, and Services. Kraków, Poland, pp 179–192. doi:10.1145/1555816.1555835
Yagoda RE, Hill SG (2011) Using mobile devices for robotic controllers: Examples and some initial concepts for experimentation. Army Research Lab Aberdeen Proving Ground, MD
Acknowledgment
This research was supported in part by MSIP(NIPA,KEIT) and MOE(NRF), Korean government, under ITRC (NIPA-2013-(H0301-13-3001)), IT R&D Program [10041244, SmartTV 2.0 Software Platform], and PRCP(NRF-2010-0020210), respectively.
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Chung, M., Choo, H. Picture browsing non-touch interaction methods for smartphones using an accelerometer and camera with a focus on phone dialing. Multimed Tools Appl 72, 2769–2786 (2014). https://doi.org/10.1007/s11042-013-1576-8
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DOI: https://doi.org/10.1007/s11042-013-1576-8