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An exploration of pressure input with bare finger for Mobile interaction in stationary and Mobile situations

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Abstract

Nowadays, most mobile devices provide two-dimensional inputs, such as taps and slides. Although pressure input, which only operates along the z axis as a single dimensional input, has long been investigated, it is separated from the x-y plane. Combining touchscreen sliding gesture with force input to enlarge the operation space is still under explored. Besides, compared with tablets, mobile devices require input with bare fingers, of which users have a poorer control than using a stylus, and have a special usage scenario, walking. How these factors influence the user performance are waiting to be answered. To fill the gap, we conducted an empirical study to explore users’ ability to control pressure on mobile devices. Participants were asked to perform pressure-based linear targeting in two postures (sitting and walking), with two types of visual feedback conditions (full and partial visual), and three confirmation methods (Dwell, Quick Release and Stroke). The results show that the number of pressure levels significantly affects error rate, movement time and number of crossings of selections. The pressure space can be divided into six levels with full visual feedback, while three levels with partial visual feedback, despite sitting or walking. The results indicate that Dwell is the most appropriate confirmation method. Based on our results, we also present a widget and discuss several applications for its potential use.

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References

  1. Arif AS, Stuerzlinger W (2013) Pseudo-pressure detection and its use in predictive text entry on touchscreens. In proceedings of the 25th Australian computer-human interaction conference: augmentation, application, innovation, collaboration (pp. 383-392). https://doi.org/10.1145/2541016.2541024

  2. Arif AS, Mazalek A, Stuerzlinger W (2014) The use of pseudo pressure in authenticating smartphone users. In proceedings of the 11th international conference on Mobile and ubiquitous systems: computing, networking and services (pp. 151-160). https://doi.org/10.4108/icst.mobiquitous.2014.257919

  3. Bederson BB (2000) Fisheye menus. In proceedings of the 13th annual ACM symposium on user interface software and technology (pp. 217-225).

  4. Besançon L, Ammi M, Isenberg T (2017) Pressure-based gain factor control for mobile 3D interaction using locally-coupled devices. In proceedings of the 2017 CHI conference on human factors in computing systems (pp. 1831-1842). https://doi.org/10.1145/3025453.3025890

  5. Brewster SA, Hughes M (2009) Pressure-based text entry for Mobile devices. In proceedings of the 11th international conference on human-computer interaction with Mobile devices and services (pp. 1-4). https://doi.org/10.1145/1613858.1613870

  6. Cechanowicz J, Irani P, Subramanian S (2007) Augmenting the mouse with pressure sensitive input. In proceedings of the SIGCHI conference on human factors in computing systems (pp. 1385-1394). https://doi.org/10.1145/1240624.1240835

  7. Corsten C, Daehlmann B, Voelker S, Borchers J (2017) BackXPress: using back-of-device finger pressure to augment touchscreen input on smartphones. In proceedings of the 2017 CHI conference on human factors in computing systems (pp. 4654-4666). https://doi.org/10.1145/3025453.3025565

  8. Corsten C, Voelker S, Borchers J (2017) Release, Don't wait! Reliable force input confirmation with quick release. In proceedings of the 2017 ACM international conference on interactive surfaces and spaces (pp. 246-251). https://doi.org/10.1145/3132272.3134116

  9. Corsten C, Voelker S, Link A, Borchers J (2018) Use the force picker, Luke: space-efficient value input on force-sensitive Mobile touchscreens. In proceedings of the 2018 CHI conference on human factors in computing systems (pp. 1-12). https://doi.org/10.1145/3173574.3174235

  10. Corsten C, Lahaye M, Borchers J, Voelker S (2019) ForceRay: extending thumb reach via force input stabilizes device grip for Mobile touch input. In proceedings of the 2019 CHI conference on human factors in computing systems (pp. 1-12). https://doi.org/10.1145/3290605.3300442

  11. Exposito M, Hernandez J, Picard RW (2018) Affective keys: towards unobtrusive stress sensing of smartphone users. In proceedings of the 20th international conference on human-computer interaction with Mobile devices and services adjunct (pp. 139-145). https://doi.org/10.1145/3236112.3236132

  12. Forlines C, Shen C, Buxton B (2005) Glimpse: a novel input model for multi-level devices. In CHI'05 extended abstracts on human factors in computing systems (pp. 1375-1378). https://doi.org/10.1145/1056808.1056920

  13. Goel M, Wobbrock J, Patel S (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 (pp. 545-554). https://doi.org/10.1145/2380116.2380184

  14. Goguey A, Malacria S, Gutwin C (2018) Improving discoverability and expert performance in force-sensitive text selection for touch devices with mode gauges. In proceedings of the 2018 CHI conference on human factors in computing systems (pp. 1-12). https://doi.org/10.1145/3173574.3174051

  15. Heo S, Lee G (2011) Force gestures: augmented touch screen gestures using normal and tangential force. In CHI'11 extended abstracts on human factors in computing systems (pp. 1909-1914). https://doi.org/10.1145/1979742.1979895

  16. Hwang S, Wohn KY (2012) PseudoButton: enabling pressure-sensitive interaction by repurposing microphone on mobile device. In CHI'12 extended abstracts on human factors in computing systems (pp. 1565-1570). https://doi.org/10.1145/2212776.2223673

  17. Hwang S, Bianchi A, Wohn KY (2013) VibPress: estimating pressure input using vibration absorption on mobile devices. In proceedings of the 15th international conference on human-computer interaction with mobile devices and services (pp. 31-34). https://doi.org/10.1145/2493190.2493193

  18. Kim S, Kim H, Lee B, Nam TJ, Lee W (2008) Inflatable mouse: volume-adjustable mouse with air-pressure-sensitive input and haptic feedback. In proceedings of the SIGCHI conference on human factors in computing systems (pp. 211-224). https://doi.org/10.1145/1357054.1357090

  19. Li WHA, Fu H, Zhu K (2016) BezelCursor: bezel-initiated cursor for one-handed target acquisition on mobile touch screens. Int J Mobile Human Comput Interaction (IJMHCI) 8(1):1–22

    Article  Google Scholar 

  20. Lim H, Chung J, Oh C, Park S, Suh B (2016) OctaRing: examining pressure-sensitive multi-touch input on a finger ring device. In proceedings of the 29th annual symposium on user Interface software and technology (pp. 223-224). https://doi.org/10.1145/2984751.2984780

  21. McCallum DC, Mak E, Irani P, Subramanian S (2009) PressureText: pressure input for mobile phone text entry. In CHI'09 extended abstracts on human factors in computing systems (pp. 4519-4524). https://doi.org/10.1145/1520340.1520693

  22. McLachlan R, Brewster S (2015, August) Bimanual input for tablet devices with pressure and multi-touch gestures. In proceedings of the 17th international conference on human-computer interaction with Mobile devices and services (pp. 547-556). https://doi.org/10.1145/2785830.2785878

  23. McLachlan R, Boland D, Brewster S (2014) Transient and transitional states: pressure as an auxiliary input modality for bimanual interaction. In proceedings of the SIGCHI conference on human factors in computing systems (pp. 401-410). https://doi.org/10.1145/2556288.2557260

  24. Mizobuchi S, Terasaki S, Keski-Jaskari T, Nousiainen J, Ryynanen M, Silfverberg M (2005) Making an impression: force-controlled pen input for handheld devices. In CHI'05 extended abstracts on human factors in computing systems (pp. 1661-1664). https://doi.org/10.1145/1056808.1056991

  25. Negulescu M, Ruiz J, Li Y, Lank E (2012) Tap, swipe, or move: attentional demands for distracted smartphone input. In proceedings of the international working conference on advanced visual interfaces (pp. 173-180). https://doi.org/10.1145/2254556.2254589

  26. Nelson RK (2015). Exploring Apple's 3D Touch. https://medium.com/@rknla/exploring-apple-s-3d-touch-f5980ef45af5#.pijkgrkw0.

  27. Ng A, Brewster SA, Williamson JH (2014) Investigating the effects of encumbrance on one-and two-handed interactions with mobile devices. In proceedings of the SIGCHI conference on human factors in computing systems (pp. 1981-1990). https://doi.org/10.1145/2556288.2557312

  28. Panigrahi R, Borah S, Bhoi AK, Ijaz MF, Pramanik M, Kumar Y, Jhaveri RH (2021) A consolidated decision tree-based intrusion detection system for binary and multiclass imbalanced datasets. Mathematics 9(7):751

    Article  Google Scholar 

  29. Panigrahi R, Borah S, Bhoi AK, Ijaz MF, Pramanik M, Jhaveri RH, Chowdhary CL (2021) Performance assessment of supervised classifiers for designing intrusion detection systems: a comprehensive review and recommendations for future research. Mathematics 9(6):690

    Article  Google Scholar 

  30. Pedersen EW, Hornbæk K (2014) Expressive touch: studying tapping force on tabletops. In proceedings of the SIGCHI conference on human factors in computing systems (pp. 421-430). https://doi.org/10.1145/2556288.2557019

  31. Ramos G, Balakrishnan R (2005) Zliding: fluid zooming and sliding for high precision parameter manipulation. In proceedings of the 18th annual ACM symposium on user interface software and technology (pp. 143-152). https://doi.org/10.1145/1095034.1095059

  32. Ramos G, Boulos M, Balakrishnan R (2004) Pressure widgets. In proceedings of the SIGCHI conference on human factors in computing systems (pp. 487-494). https://doi.org/10.1145/985692.985754

  33. Rendl C, Greindl P, Probst K, Behrens M, Haller M (2014) Presstures: exploring pressure-sensitive multi-touch gestures on trackpads. In proceedings of the SIGCHI conference on human factors in computing systems (pp. 431-434). https://doi.org/10.1145/2556288.2557146

  34. Stewart C, Rohs M, Kratz S, Essl G (2010) Characteristics of pressure-based input for mobile devices. In proceedings of the SIGCHI conference on human factors in computing systems (pp. 801-810). https://doi.org/10.1145/1753326.1753444

  35. Taher F, Alexander J, Hardy J, Velloso E (2014) An empirical characterization of touch-gesture input-force on mobile devices. In proceedings of the ninth ACM international conference on interactive tabletops and surfaces (pp. 195-204). https://doi.org/10.1145/2669485.2669515

  36. Takada R, Lin W, Ando T, Shizuki B, Takahashi S (2017) A technique for touch force sensing using a waterproof Device's built-in barometer. In proceedings of the 2017 CHI conference extended abstracts on human factors in computing systems (pp. 2140-2146).

  37. Tu H, Ren X, Zhai S (2015) Differences and similarities between finger and pen stroke gestures on stationary and mobile devices. ACM Trans Comput-Human Interaction (TOCHI) 22(5):1–39. https://doi.org/10.1145/2797138

    Article  Google Scholar 

  38. Tung YC, Shin KG (2016) Expansion of human-phone interface by sensing structure-borne sound propagation. In proceedings of the 14th annual international conference on Mobile systems, applications, and services (pp. 277-289). https://doi.org/10.1145/2906388.2906394

  39. Wang X, Besançon L, Ammi M, Isenberg T (2019) Augmenting tactile 3D data navigation with pressure sensing. In computer graphics forum (Vol. 38, no. 3, pp. 635-647). https://doi.org/10.1145/3027063.3053130

  40. Wilson G, Stewart C, Brewster SA (2010) Pressure-based menu selection for mobile devices. In proceedings of the 12th international conference on human computer interaction with mobile devices and services (pp. 181-190). https://doi.org/10.1145/1851600.1851631

  41. Wilson G, Brewster SA, Halvey M, Crossan A, Stewart C (2011) The effects of walking, feedback and control method on pressure-based interaction. In proceedings of the 13th international conference on human computer interaction with Mobile devices and services (pp. 147-156). https://doi.org/10.1145/2037373.2037397

  42. Yong S, Lee EJ, Peiris R, Chan L, Nam J (2017) ForceClicks: enabling efficient button interaction with single finger touch. In proceedings of the eleventh international conference on tangible, embedded, and embodied interaction (pp. 489-493). https://doi.org/10.1145/3024969.3025081

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Funding

This study has been partially supported by National Natural Science Foundation of China (61872164), Program of Science and Technology Development Plan of Jilin Province of China (20220201147GX) and Fundamental Research Funds for the Central Universities (2022-JCXK-02).

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Authors and Affiliations

  1. College of Computer Science and Technology, Jilin University, Changchun, 130012, China

    Manying Wang, Guihe Qin & Minghui Sun

  2. Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Changchun, 130012, China

    Manying Wang, Guihe Qin & Minghui Sun

  3. Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada

    Jian Zhao

  4. College of Computer Science and Technology, Changchun University of Science and Technology, Changchun, 130012, China

    Jun Qin

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  1. Manying Wang
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  2. Guihe Qin
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Correspondence to Minghui Sun.

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Wang, M., Qin, G., Sun, M. et al. An exploration of pressure input with bare finger for Mobile interaction in stationary and Mobile situations. Multimed Tools Appl 82, 25711–25731 (2023). https://doi.org/10.1007/s11042-023-14503-0

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  • DOI: https://doi.org/10.1007/s11042-023-14503-0

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