ABSTRACT
Back-of-device interaction is a promising approach to interacting on smartphones. In this paper, we create a back-of-device command and text input technique called BackSwipe, which allows a user to hold a smartphone with one hand, and use the index finger of the same hand to draw a word-gesture anywhere at the back of the smartphone to enter commands and text. To support BackSwipe, we propose a back-of-device word-gesture decoding algorithm which infers the keyboard location from back-of-device gestures, and adjusts the keyboard size to suit the gesture scales; the inferred keyboard is then fed back into the system for decoding. Our user study shows BackSwipe is feasible and a promising input method, especially for command input in the one-hand holding posture: users can enter commands at an average accuracy of 92% with a speed of 5.32 seconds/command. The text entry performance varies across users. The average speed is 9.58 WPM with some users at 18.83 WPM; the average word error rate is 11.04% with some users at 2.85%. Overall, BackSwipe complements the extant smartphone interaction by leveraging the back of the device as a gestural input surface.
Supplemental Material
- Jessalyn Alvina, Carla F. Griggio, Xiaojun Bi, and Wendy E. Mackay. 2017. CommandBoard: Creating a General-Purpose Command Gesture Input Space for Soft Keyboard. In Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology (Québec City, QC, Canada) (UIST ’17). ACM, New York, NY, USA, 17–28. https://doi.org/10.1145/3126594.3126639Google ScholarDigital Library
- Gilles Bailly, Eric Lecolinet, and Laurence Nigay. 2007. Wave Menus: Improving the Novice Mode of Hierarchical Marking Menus. In Proceedings of the 11th IFIP TC 13 International Conference on Human-computer Interaction (Rio de Janeiro, Brazil) (INTERACT’07). Springer-Verlag, Berlin, Heidelberg, 475–488. http://dl.acm.org/citation.cfm?id=1776994.1777053Google ScholarCross Ref
- Gilles Bailly, Eric Lecolinet, and Laurence Nigay. 2008. Flower Menus: A New Type of Marking Menu with Large Menu Breadth, Within Groups and Efficient Expert Mode Memorization. In Proceedings of the Working Conference on Advanced Visual Interfaces (Napoli, Italy) (AVI ’08). ACM, New York, NY, USA, 15–22. https://doi.org/10.1145/1385569.1385575Google ScholarDigital Library
- Patrick Baudisch and Gerry Chu. 2009. Back-of-Device Interaction Allows Creating Very Small Touch Devices. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Boston, MA, USA) (CHI ’09). Association for Computing Machinery, New York, NY, USA, 1923–1932. https://doi.org/10.1145/1518701.1518995Google ScholarDigital Library
- Xiaojun Bi, Shiri Azenkot, Kurt Partridge, and Shumin Zhai. 2013. Octopus: Evaluating Touchscreen Keyboard Correction and Recognition Algorithms via. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Paris, France) (CHI ’13). ACM, New York, NY, USA, 543–552. https://doi.org/10.1145/2470654.2470732Google ScholarDigital Library
- Xiaojun Bi, Ciprian Chelba, Tom Ouyang, Kurt Partridge, and Shumin Zhai. 2012. Bimanual Gesture Keyboard. In Proceedings of the 25th Annual ACM Symposium on User Interface Software and Technology (Cambridge, Massachusetts, USA) (UIST ’12). ACM, New York, NY, USA, 137–146. https://doi.org/10.1145/2380116.2380136Google ScholarDigital Library
- Daniel Buschek, Oliver Schoenleben, and Antti Oulasvirta. 2014. Improving Accuracy in Back-of-Device Multitouch Typing: A Clustering-Based Approach to Keyboard Updating. In Proceedings of the 19th International Conference on Intelligent User Interfaces (Haifa, Israel) (IUI ’14). Association for Computing Machinery, New York, NY, USA, 57–66. https://doi.org/10.1145/2557500.2557501Google ScholarDigital Library
- Sibo Chen, Junce Wang, Santiago Guerra, Neha Mittal, and Soravis Prakkamakul. 2019. Exploring Word-Gesture Text Entry Techniques in Virtual Reality. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI EA ’19). Association for Computing Machinery, New York, NY, USA, 1–6. https://doi.org/10.1145/3290607.3312762Google ScholarDigital Library
- Andy Cockburn, Carl Gutwin, and Saul Greenberg. 2007. A Predictive Model of Menu Performance. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (San Jose, California, USA) (CHI ’07). ACM, New York, NY, USA, 627–636. https://doi.org/10.1145/1240624.1240723Google ScholarDigital Library
- Christian Corsten, Christian Cherek, Thorsten Karrer, and Jan Borchers. 2015. HaptiCase: Back-of-Device Tactile Landmarks for Eyes-Free Absolute Indirect Touch. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems(Seoul, Republic of Korea) (CHI ’15). Association for Computing Machinery, New York, NY, USA, 2171–2180. https://doi.org/10.1145/2702123.2702277Google ScholarDigital Library
- Christian Corsten, Bjoern Daehlmann, Simon Voelker, and Jan Borchers. 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 (Denver, Colorado, USA) (CHI ’17). Association for Computing Machinery, New York, NY, USA, 4654–4666. https://doi.org/10.1145/3025453.3025565Google ScholarDigital Library
- Wenzhe Cui, Jingjie Zheng, Blaine Lewis, Daniel Vogel, and Xiaojun Bi. 2019. HotStrokes: Word-Gesture Shortcuts on a Trackpad. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI ’19). ACM, New York, NY, USA, Article 165, 13 pages. https://doi.org/10.1145/3290605.3300395Google ScholarDigital Library
- Mark Davies. 2018. The corpus of contemporary American English: 1990-present.Google Scholar
- Alexander De Luca, Marian Harbach, Emanuel von Zezschwitz, Max-Emanuel Maurer, Bernhard Ewald Slawik, Heinrich Hussmann, and Matthew Smith. 2014. Now You See Me, Now You Don’t: Protecting Smartphone Authentication from Shoulder Surfers. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Toronto, Ontario, Canada) (CHI ’14). Association for Computing Machinery, New York, NY, USA, 2937–2946. https://doi.org/10.1145/2556288.2557097Google ScholarDigital Library
- Dictionary.com. 2020. Thesaurus.com | Synonyms and Antonyms of Words. https://www.thesaurus.com/. https://www.thesaurus.com/ [Online; accessed 13-August-2020].Google Scholar
- Jeremie Francone, Gilles Bailly, Laurence Nigay, and Eric Lecolinet. 2009. Wavelet Menus: A Stacking Metaphor for Adapting Marking Menus to Mobile Devices. In Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services (Bonn, Germany) (MobileHCI ’09). ACM, New York, NY, USA, Article 49, 4 pages. https://doi.org/10.1145/1613858.1613919Google ScholarDigital Library
- Bruno Fruchard, Eric Lecolinet, and Olivier Chapuis. 2017. MarkPad: Augmenting Touchpads for Command Selection. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (Denver, Colorado, USA) (CHI ’17). ACM, New York, NY, USA, 5630–5642. https://doi.org/10.1145/3025453.3025486Google ScholarDigital Library
- Mitchell Gordon, Tom Ouyang, and Shumin Zhai. 2016. WatchWriter: Tap and Gesture Typing on a Smartwatch Miniature Keyboard with Statistical Decoding. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (San Jose, California, USA) (CHI ’16). Association for Computing Machinery, New York, NY, USA, 3817–3821. https://doi.org/10.1145/2858036.2858242Google ScholarDigital Library
- Aakar Gupta, Cheng Ji, Hui-Shyong Yeo, Aaron Quigley, and Daniel Vogel. 2019. RotoSwype: Word-Gesture Typing Using a Ring. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI ’19). Association for Computing Machinery, New York, NY, USA, 1–12. https://doi.org/10.1145/3290605.3300244Google ScholarDigital Library
- Sean Gustafson. 2012. Imaginary interfaces: touchscreen-like interaction without the screen. In CHI’12 Extended Abstracts on Human Factors in Computing Systems. 927–930.Google Scholar
- Sean Gustafson, Christian Holz, and Patrick Baudisch. 2011. Imaginary phone: learning imaginary interfaces by transferring spatial memory from a familiar device. In Proceedings of the 24th annual ACM symposium on User interface software and technology. 283–292.Google ScholarDigital Library
- Hiroyuki Hakoda, Yoshitomo Fukatsu, Buntarou Shizuki, and Jiro Tanaka. 2015. Back-of-Device Interaction Based on the Range of Motion of the Index Finger. In Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction (Parkville, VIC, Australia) (OzCHI ’15). Association for Computing Machinery, New York, NY, USA, 202–206. https://doi.org/10.1145/2838739.2838812Google ScholarDigital Library
- Christian Holz and Patrick Baudisch. 2010. The Generalized Perceived Input Point Model and How to Double Touch Accuracy by Extracting Fingerprints. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Atlanta, Georgia, USA) (CHI ’10). Association for Computing Machinery, New York, NY, USA, 581–590. https://doi.org/10.1145/1753326.1753413Google ScholarDigital Library
- Christian Holz and Patrick Baudisch. 2011. Understanding Touch. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Vancouver, BC, Canada) (CHI ’11). Association for Computing Machinery, New York, NY, USA, 2501–2510. https://doi.org/10.1145/1978942.1979308Google ScholarDigital Library
- Hwan Kim, Yea-kyung Row, and Geehyuk Lee. 2012. Back Keyboard: A Physical Keyboard on Backside of Mobile Phone Using Qwerty. In CHI ’12 Extended Abstracts on Human Factors in Computing Systems (Austin, Texas, USA) (CHI EA ’12). Association for Computing Machinery, New York, NY, USA, 1583–1588. https://doi.org/10.1145/2212776.2223676Google ScholarDigital Library
- Per-Ola Kristensson and Shumin Zhai. 2004. SHARK2: A Large Vocabulary Shorthand Writing System for Pen-based Computers. In Proceedings of the 17th Annual ACM Symposium on User Interface Software and Technology (Santa Fe, NM, USA) (UIST ’04). ACM, New York, NY, USA, 43–52. https://doi.org/10.1145/1029632.1029640Google ScholarDigital Library
- Per Ola Kristensson and Shumin Zhai. 2007. Command Strokes with and Without Preview: Using Pen Gestures on Keyboard for Command Selection. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (San Jose, California, USA) (CHI ’07). ACM, New York, NY, USA, 1137–1146. https://doi.org/10.1145/1240624.1240797Google ScholarDigital Library
- Gordon Kurtenbach and William Buxton. 1994. User Learning and Performance with Marking Menus. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Boston, Massachusetts, USA) (CHI ’94). ACM, New York, NY, USA, 258–264. https://doi.org/10.1145/191666.191759Google ScholarDigital Library
- Gordon Paul Kurtenbach. 1993. The Design and Evaluation of Marking Menus. Ph.D. Dissertation. University of Toronto, Toronto, Ont., Canada, Canada. UMI Order No. GAXNN-82896.Google Scholar
- Gordon P. Kurtenbach, Abigail J. Sellen, and William A. S. Buxton. 1993. An Empirical Evaluation of Some Articulatory and Cognitive Aspects of Marking Menus. Hum.-Comput. Interact. 8, 1 (March 1993), 1–23. https://doi.org/10.1207/s15327051hci0801_1Google ScholarDigital Library
- Kevin A. Li, Patrick Baudisch, and Ken Hinckley. 2008. Blindsight: Eyes-Free Access to Mobile Phones. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Florence, Italy) (CHI ’08). Association for Computing Machinery, New York, NY, USA, 1389–1398. https://doi.org/10.1145/1357054.1357273Google ScholarDigital Library
- Yang Li. 2010. Gesture Search: A Tool for Fast Mobile Data Access. In Proceedings of the 23Nd Annual ACM Symposium on User Interface Software and Technology (New York, New York, USA) (UIST ’10). ACM, New York, NY, USA, 87–96. https://doi.org/10.1145/1866029.1866044Google ScholarDigital Library
- Wanyu Liu, Gilles Bailly, and Andrew Howes. 2017. Effects of Frequency Distribution on Linear Menu Performance. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (Denver, Colorado, USA) (CHI ’17). ACM, New York, NY, USA, 1307–1312. https://doi.org/10.1145/3025453.3025707Google ScholarDigital Library
- Hao Lü and Yang Li. 2011. Gesture Avatar: A Technique for Operating Mobile User Interfaces Using Gestures. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Vancouver, BC, Canada) (CHI ’11). ACM, New York, NY, USA, 207–216. https://doi.org/10.1145/1978942.1978972Google ScholarDigital Library
- Hao Lü and Yang Li. 2013. Gesture Studio: Authoring Multi-touch Interactions Through Demonstration and Declaration. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Paris, France) (CHI ’13). ACM, New York, NY, USA, 257–266. https://doi.org/10.1145/2470654.2470690Google ScholarDigital Library
- Hao Lü and Yang Li. 2015. Gesture On: Enabling Always-On Touch Gestures for Fast Mobile Access from the Device Standby Mode. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (Seoul, Republic of Korea) (CHI ’15). ACM, New York, NY, USA, 3355–3364. https://doi.org/10.1145/2702123.2702610Google ScholarDigital Library
- Yiqin Lu, Chun Yu, Xin Yi, Yuanchun Shi, and Shengdong Zhao. 2017. BlindType: Eyes-Free Text Entry on Handheld Touchpad by Leveraging Thumb’s Muscle Memory. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 2, Article 18 (June 2017), 24 pages. https://doi.org/10.1145/3090083Google ScholarDigital Library
- I. Scott MacKenzie. 2015. A Note on Calculating Text Entry Speed.Google Scholar
- I. Scott MacKenzie and R. William Soukoreff. 2003. Phrase Sets for Evaluating Text Entry Techniques. In CHI ’03 Extended Abstracts on Human Factors in Computing Systems (Ft. Lauderdale, Florida, USA) (CHI EA ’03). ACM, New York, NY, USA, 754–755. https://doi.org/10.1145/765891.765971Google ScholarDigital Library
- Anders Markussen, Mikkel Rønne Jakobsen, and Kasper Hornbæk. 2014. Vulture: A Mid-air Word-gesture Keyboard. In Proceedings of the 32Nd Annual ACM Conference on Human Factors in Computing Systems (Toronto, Ontario, Canada) (CHI ’14). ACM, New York, NY, USA, 1073–1082. https://doi.org/10.1145/2556288.2556964Google ScholarDigital Library
- Alistair Morrison, Xiaoyu Xiong, Matthew Higgs, Marek Bell, and Matthew Chalmers. 2018. A Large-Scale Study of iPhone App Launch Behaviour. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Montreal QC, Canada) (CHI ’18). ACM, New York, NY, USA, Article 344, 13 pages. https://doi.org/10.1145/3173574.3173918Google ScholarDigital Library
- Stephen Oney, Chris Harrison, Amy Ogan, and Jason Wiese. 2013. ZoomBoard: A Diminutive Qwerty Soft Keyboard Using Iterative Zooming for Ultra-Small Devices. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Paris, France) (CHI ’13). Association for Computing Machinery, New York, NY, USA, 2799–2802. https://doi.org/10.1145/2470654.2481387Google ScholarDigital Library
- Benjamin Poppinga, Alireza Sahami Shirazi, Niels Henze, Wilko Heuten, and Susanne Boll. 2014. Understanding Shortcut Gestures on Mobile Touch Devices. In Proceedings of the 16th International Conference on Human-Computer Interaction with Mobile Devices & Services(Toronto, ON, Canada) (MobileHCI ’14). Association for Computing Machinery, New York, NY, USA, 173–182. https://doi.org/10.1145/2628363.2628378Google ScholarDigital Library
- A. Radford. 2018. Improving Language Understanding by Generative Pre-Training.Google Scholar
- Shyam Reyal, Shumin Zhai, and Per Ola Kristensson. 2015. Performance and User Experience of Touchscreen and Gesture Keyboards in a Lab Setting and in the Wild. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (Seoul, Republic of Korea) (CHI ’15). Association for Computing Machinery, New York, NY, USA, 679–688. https://doi.org/10.1145/2702123.2702597Google ScholarDigital Library
- Hiroaki Sakoe and Seibi Chiba. 1978. Dynamic programming algorithm optimization for spoken word recognition. IEEE transactions on acoustics, speech, and signal processing 26, 1 (February 1978), 43–49. https://doi.org/10.1109/TASSP.1978.1163055Google ScholarCross Ref
- James Scott, Shahram Izadi, Leila Sadat Rezai, Dominika Ruszkowski, Xiaojun Bi, and Ravin Balakrishnan. 2010. RearType: Text Entry Using Keys on the Back of a Device. In Proceedings of the 12th International Conference on Human Computer Interaction with Mobile Devices and Services(Lisbon, Portugal) (MobileHCI ’10). Association for Computing Machinery, New York, NY, USA, 171–180. https://doi.org/10.1145/1851600.1851630Google ScholarDigital Library
- Shaikh Shawon Arefin Shimon, Sarah Morrison-Smith, Noah John, Ghazal Fahimi, and Jaime Ruiz. 2015. Exploring User-Defined Back-Of-Device Gestures for Mobile Devices. In Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services (Copenhagen, Denmark) (MobileHCI ’15). Association for Computing Machinery, New York, NY, USA, 227–232. https://doi.org/10.1145/2785830.2785890Google ScholarDigital Library
- Masanori Sugimoto and Keiichi Hiroki. 2006. HybridTouch: An Intuitive Manipulation Technique for PDAs Using Their Front and Rear Surfaces. In Proceedings of the 8th Conference on Human-Computer Interaction with Mobile Devices and Services (Helsinki, Finland) (MobileHCI ’06). Association for Computing Machinery, New York, NY, USA, 137–140. https://doi.org/10.1145/1152215.1152243Google ScholarDigital Library
- Radu-Daniel Vatavu and Ovidiu-Ciprian Ungurean. 2019. Stroke-Gesture Input for People with Motor Impairments: Empirical Results & Research Roadmap. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI ’19). Association for Computing Machinery, New York, NY, USA, 1–14. https://doi.org/10.1145/3290605.3300445Google ScholarDigital Library
- Keith Vertanen, Dylan Gaines, Crystal Fletcher, Alex M. Stanage, Robbie Watling, and Per Ola Kristensson. 2019. VelociWatch: Designing and Evaluating a Virtual Keyboard for the Input of Challenging Text. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI ’19). Association for Computing Machinery, New York, NY, USA, 1–14. https://doi.org/10.1145/3290605.3300821Google ScholarDigital Library
- Daniel Wigdor, Clifton Forlines, Patrick Baudisch, John Barnwell, and Chia Shen. 2007. Lucid Touch: A See-through Mobile Device. In Proceedings of the 20th Annual ACM Symposium on User Interface Software and Technology (Newport, Rhode Island, USA) (UIST ’07). Association for Computing Machinery, New York, NY, USA, 269–278. https://doi.org/10.1145/1294211.1294259Google ScholarDigital Library
- Daniel Wigdor, Darren Leigh, Clifton Forlines, Samuel Shipman, John Barnwell, Ravin Balakrishnan, and Chia Shen. 2006. Under the Table Interaction. In Proceedings of the 19th Annual ACM Symposium on User Interface Software and Technology (Montreux, Switzerland) (UIST ’06). Association for Computing Machinery, New York, NY, USA, 259–268. https://doi.org/10.1145/1166253.1166294Google ScholarDigital Library
- Jacob O. Wobbrock, Brad A. Myers, and Htet Htet Aung. 2008. The Performance of Hand Postures in Front- and Back-of-Device Interaction for Mobile Computing. Int. J. Hum.-Comput. Stud. 66, 12 (Dec. 2008), 857–875. https://doi.org/10.1016/j.ijhcs.2008.03.004Google ScholarDigital Library
- Xiang Xiao, Teng Han, and Jingtao Wang. 2013. LensGesture: Augmenting Mobile Interactions with Back-of-Device Finger Gestures. In Proceedings of the 15th ACM on International Conference on Multimodal Interaction (Sydney, Australia) (ICMI ’13). Association for Computing Machinery, New York, NY, USA, 287–294. https://doi.org/10.1145/2522848.2522850Google ScholarDigital Library
- Hui-Shyong Yeo, Xiao-Shen Phang, Steven J. Castellucci, Per Ola Kristensson, and Aaron Quigley. 2017. Investigating Tilt-based Gesture Keyboard Entry for Single-Handed Text Entry on Large Devices. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (Denver, Colorado, USA) (CHI ’17). ACM, New York, NY, USA, 4194–4202. https://doi.org/10.1145/3025453.3025520Google ScholarDigital Library
- Xin Yi, Chun Yu, Weinan Shi, Xiaojun Bi, and Yuanchun Shi. 2017. Word Clarity As a Metric in Sampling Keyboard Test Sets. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (Denver, Colorado, USA) (CHI ’17). ACM, New York, NY, USA, 4216–4228. https://doi.org/10.1145/3025453.3025701Google ScholarDigital Library
- Chun Yu, Yizheng Gu, Zhican Yang, Xin Yi, Hengliang Luo, and Yuanchun Shi. 2017. Tap, Dwell or Gesture?: Exploring Head-Based Text Entry Techniques for HMDs. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (Denver, Colorado, USA) (CHI ’17). ACM, New York, NY, USA, 4479–4488. https://doi.org/10.1145/3025453.3025964Google ScholarDigital Library
- Shumin Zhai and Per-Ola Kristensson. 2003. Shorthand Writing on Stylus Keyboard. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Ft. Lauderdale, Florida, USA) (CHI ’03). ACM, New York, NY, USA, 97–104. https://doi.org/10.1145/642611.642630Google ScholarDigital Library
- Shumin Zhai and Per Ola Kristensson. 2012. The Word-gesture Keyboard: Reimagining Keyboard Interaction. Commun. ACM 55, 9 (Sept. 2012), 91–101. https://doi.org/10.1145/2330667.2330689Google ScholarDigital Library
- Shumin Zhai, Per Ola Kristensson, Pengjun Gong, Michael Greiner, Shilei Allen Peng, Liang Mico Liu, and Anthony Dunnigan. 2009. Shapewriter on the Iphone: From the Laboratory to the Real World. In CHI ’09 Extended Abstracts on Human Factors in Computing Systems (Boston, MA, USA) (CHI EA ’09). ACM, New York, NY, USA, 2667–2670. https://doi.org/10.1145/1520340.1520380Google ScholarDigital Library
- Cheng Zhang, Anhong Guo, Dingtian Zhang, Caleb Southern, Rosa Arriaga, and Gregory Abowd. 2015. BeyondTouch: Extending the Input Language with Built-in Sensors on Commodity Smartphones. In Proceedings of the 20th International Conference on Intelligent User Interfaces (Atlanta, Georgia, USA) (IUI ’15). Association for Computing Machinery, New York, NY, USA, 67–77. https://doi.org/10.1145/2678025.2701374Google ScholarDigital Library
- Shengdong Zhao and Ravin Balakrishnan. 2004. Simple vs. Compound Mark Hierarchical Marking Menus. In Proceedings of the 17th Annual ACM Symposium on User Interface Software and Technology (Santa Fe, NM, USA) (UIST ’04). ACM, New York, NY, USA, 33–42. https://doi.org/10.1145/1029632.1029639Google ScholarDigital Library
- Jingjie Zheng, Xiaojun Bi, Kun Li, Yang Li, and Shumin Zhai. 2018. M3 Gesture Menu: Design and Experimental Analyses of Marking Menus for Touchscreen Mobile Interaction. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Montreal QC, Canada) (CHI ’18). ACM, New York, NY, USA, Article 249, 14 pages. https://doi.org/10.1145/3173574.3173823Google ScholarDigital Library
- Suwen Zhu, Yoonsang Kim, Jingjie Zheng, Jennifer Yi Luo, Ryan Qin, Liuping Wang, Xiangmin Fan, Feng Tian, and Xiaojun Bi. 2020. Using Bayes’ Theorem for Command Input: Principle, Models, and Applications. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–15. https://doi.org/10.1145/3313831.3376771Google ScholarDigital Library
- Suwen Zhu, Tianyao Luo, Xiaojun Bi, and Shumin Zhai. 2018. Typing on an Invisible Keyboard. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Montreal QC, Canada) (CHI ’18). ACM, New York, NY, USA, Article 439, 13 pages. https://doi.org/10.1145/3173574.3174013Google ScholarDigital Library
- Suwen Zhu, Jingjie Zheng, Shumin Zhai, and Xiaojun Bi. 2019. I’sFree: Eyes-Free Gesture Typing via a Touch-Enabled Remote Control. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI ’19). ACM, New York, NY, USA, Article 448, 12 pages. https://doi.org/10.1145/3290605.3300678Google ScholarDigital Library
Index Terms
- BackSwipe: Back-of-device Word-Gesture Interaction on Smartphones
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