research-article

Single-tap Latency Reduction with Single- or Double- tap Prediction

Authors:

Kaori Ikematsu,

Shota Yamanaka,

Kota TsubouchiAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 7, Issue MHCI

Article No.: 224, Pages 1 - 26

https://doi.org/10.1145/3604271

Published: 13 September 2023 Publication History

Abstract

Touch surfaces are widely utilized for smartphones, tablet PCs, and laptops (touchpad), and single and double taps are the most basic and common operations on them. The detection of single or double taps causes the single-tap latency problem, which creates a bottleneck in terms of the sensitivity of touch inputs. To reduce the single-tap latency, we propose a novel machine-learning-based tap prediction method called PredicTaps. Our method predicts whether a detected tap is a single tap or the first contact of a double tap without having to wait for the hundreds of milliseconds conventionally required. We present three evaluations and one user evaluation that demonstrate its broad applicability and usability for various tap situations on two form factors (touchpad and smartphone). The results showed PredicTaps reduces the single-tap latency from 150--500 ms to 12 ms on laptops and to 17.6 ms on smartphones without reducing usability.

Supplementary Material

MP4 File (v7mhci224.mp4)

Supplemental video

Download
90.45 MB

References

[1]

Liliana Barrios, Pietro Oldrati, David Lindlbauer, Marc Hilty, Helen Hayward-Koennecke, Christian Holz, and Andreas Lutterotti. 2020. A Rapid Tapping Task on Commodity Smartphones to Assess Motor Fatigability. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). Association for Computing Machinery, New York, NY, USA, 1--10. https://doi.org/10.1145/3313831.3376588

Digital Library

[2]

Tobias Boceck, Sascha Sprott, Huy Viet Le, and Sven Mayer. 2019. Force Touch Detection on Capacitive Sensors Using Deep Neural Networks. In Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '19). Association for Computing Machinery, New York, NY, USA, Article Article 42, 6 pages. https://doi.org/10.1145/3338286.3344389

Digital Library

[3]

Kim Byoungeul and Lim Yeongkyu. 2012. US Patent 20130271487A1, Position lag reduction for computer drawing. https://patents.google.com/patent/US20130271487

[4]

Kim Byoungeul and Lim Yeongkyu. 2014. WO Patent 2014129753A1, Mobile terminal and touch coordinate predicting method thereof. https://www.google.com/patents/WO2014129753A1?cl=en.

[5]

Elie Cattan, Amélie Rochet-Capellan, Pascal Perrier, and François Bérard. 2015. Reducing Latency with a Continuous Prediction: Effects on Users' Performance in Direct-Touch Target Acquisitions. In Proceedings of the 2015 International Conference on Interactive Tabletops & Surfaces (ITS '15). ACM, New York, NY, USA, 205--214. https://doi.org/10.1145/2817721.2817736

Digital Library

[6]

A. Cockburn, D. Masson, C. Gutwin, P. Palanque, A. Goguey, M. Yung, C. Gris, and C. Trask. 2019. Design and evaluation of braced touch for touchscreen input stabilisation. International Journal of Human-Computer Studies 122 (2019), 21 -- 37. https://doi.org/10.1016/j.ijhcs.2018.08.005

[7]

Jacob Cohen. 2013. Statistical power analysis for the behavioral sciences. Academic press.

[8]

Microsoft Corp. 2018. DoubleClickSpeed. https://docs.microsoft.com/en-us/previous-versions/windows/it-pro/windows-2000-server/cc978662(v=technet.10)?redirectedfrom=MSDN

[9]

Microsoft Corp. 2018. Windows Dev Center. https://docs.microsoft.com/ja-jp/windows/desktop/Controls/ttm-setdelaytime

[10]

Jonathan Deber, Bruno Araujo, Ricardo Jota, Clifton Forlines, Darren Leigh, Steven Sanders, and Daniel Wigdor. 2016. Hammer Time!: A Low-Cost, High Precision, High Accuracy Tool to Measure the Latency of Touchscreen Devices. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). ACM, New York, NY, USA, 2857--2868. https://doi.org/10.1145/2858036.2858394

Digital Library

[11]

Jonathan Deber, Ricardo Jota, Clifton Forlines, and Daniel Wigdor. 2015. How Much Faster is Fast Enough?: User Perception of Latency & Latency Improvements in Direct and Indirect Touch. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). ACM, New York, NY, USA, 1827--1836. https://doi.org/10.1145/2702123.2702300

Digital Library

[12]

Tobias Grosse-Puppendahl, Christian Holz, Gabe Cohn, Raphael Wimmer, Oskar Bechtold, Steve Hodges, Matthew S. Reynolds, and Joshua R. Smith. 2017. Finding Common Ground: A Survey of Capacitive Sensing in Human-Computer Interaction. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI '17). ACM, New York, NY, USA, 3293--3315. https://doi.org/10.1145/3025453.3025808

Digital Library

[13]

Anhong Guo, Robert Xiao, and Chris Harrison. 2015. CapAuth: Identifying and Differentiating User Handprints on Commodity Capacitive Touchscreens. In Proceedings of the 2015 International Conference on Interactive Tabletops & Surfaces (ITS '15). ACM, New York, NY, USA, 59--62. https://doi.org/10.1145/2817721.2817722

Digital Library

[14]

Niels Henze, Markus Funk, and Alireza Sahami Shirazi. 2016. Software-reduced Touchscreen Latency. In Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '16). ACM, New York, NY, USA, 434--441. https://doi.org/10.1145/2935334.2935381

Digital Library

[15]

Niels Henze, Sven Mayer, Huy Viet Le, and Valentin Schwind. 2017. Improving Software-reduced Touchscreen Latency. In Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '17). ACM, New York, NY, USA, Article 107, 8 pages. https://doi.org/10.1145/3098279.3122150

Digital Library

[16]

Niels Henze, Enrico Rukzio, and Susanne Boll. 2011. 100,000,000 taps: analysis and improvement of touch performance in the large. In Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services (MobileHCI '11). Association for Computing Machinery, New York, NY, USA, 133--142. https://doi.org/10.1145/2037373.2037395

Digital Library

[17]

Seongkook Heo, Jiseong Gu, and Geehyuk Lee. 2014. Expanding Touch Input Vocabulary by Using Consecutive Distant Taps. In Proceedings of the 32Nd Annual ACM Conference on Human Factors in Computing Systems (CHI '14). ACM, New York, NY, USA, 2597--2606. https://doi.org/10.1145/2556288.2557234

Digital Library

[18]

Ken Hinckley, Seongkook Heo, Michel Pahud, Christian Holz, Hrvoje Benko, Abigail Sellen, Richard Banks, Kenton O'Hara, Gavin Smyth, and William Buxton. 2016. Pre-Touch Sensing for Mobile Interaction. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). ACM, New York, NY, USA, 2869--2881. https://doi.org/10.1145/2858036.2858095

Digital Library

[19]

Christian Holz, Senaka Buthpitiya, and Marius Knaust. 2015. Bodyprint: Biometric User Identification on Mobile Devices Using the Capacitive Touchscreen to Scan Body Parts. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). ACM, New York, NY, USA, 3011--3014. https://doi.org/10.1145/2702123.2702518

Digital Library

[20]

Wenson Hsieh. 2015. More Responsive Tapping on iOS. https://webkit.org/blog/5610/more-responsive-tapping-on-ios/

[21]

Kaori Ikematsu, Masaaki Fukumoto, and Itiro Siio. 2019. Ohmic-Sticker: Force-to-Motion Type Input Device that Extends Capacitive Touch Surface. In Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology (UIST '19). Association for Computing Machinery, New York, NY, USA, 1021--1030. https://doi.org/10.1145/3332165.3347903

Digital Library

[22]

Kaori Ikematsu, Shota Yamanaka, and Kota Tsubouchi. 2020. PredicTaps: Latency Reduction Technique for Single-taps Based on Prediction for Single-tap or Double-tap. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA '20). ACM, New York, NY, USA, 6 pages.

Digital Library

[23]

Kaori Ikematsu, Shota Yamanaka, and Kota Tsubouchi. 2020. PredicTaps: Machine Learning-Based Latency Reduction Technique for Single-taps. In Proceedings of Interaction2020. IPSJ.

[24]

Apple Inc. 2019. Change Speaking Rate, Double-Tap Timeout, and Audio Ducking. https://support.apple.com/en-in/HT208434

[25]

Valeriu Manuel Ionescu. 2016. Using cross platform development libraries. telerik mobile. In 2016 15th RoEduNet Conference: Networking in Education and Research. IEEE, 1--6.

[26]

Kevin Jiokeng, Gentian Jakllari, and André-Luc Beylot. 2022. I Want to Know Your Hand: Authentication on Commodity Mobile Phones Based on Your Hand's Vibrations. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6, 2, Article 58 (jul 2022), 27 pages. https://doi.org/10.1145/3534575

Digital Library

[27]

Ricardo Jota, Albert Ng, Paul Dietz, and Daniel Wigdor. 2013. How Fast is Fast Enough?: A Study of the Effects of Latency in Direct-touch Pointing Tasks. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '13). ACM, New York, NY, USA, 2291--2300. https://doi.org/10.1145/2470654.2481317

Digital Library

[28]

Steven W Keele and Michael I Posner. 1968. Processing of visual feedback in rapid movements. Journal of experimental psychology 77, 1 (1968), 155.

[29]

Dong Yoon Kim and Scott A Miller. 2013. US8442797B2, Directional tap detection algorithm using an accelerometer. https://patents.google.com/patent/US8442797B2

[30]

Naoki Kimura. 2022. Self-Supervised Approach for Few-Shot Hand Gesture Recognition. In Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (UIST '22 Adjunct). Association for Computing Machinery, New York, NY, USA, Article 21, 4 pages. https://doi.org/10.1145/3526114.3558707

Digital Library

[31]

Naoki Kimura. 2022. Self-Supervised Approach for Few-Shot Hand Gesture Recognition. In The Adjunct Publication of the 35th Annual ACM Symposium on User Interface Software and Technology (UIST '22 Adjunct). Association for Computing Machinery, New York, NY, USA, Article 21, 4 pages. https://doi.org/10.1145/3526114.3558707

Digital Library

[32]

Jason E King. 2008. Binary logistic regression. Best practices in quantitative methods (2008), 358--384.

[33]

Takumi Kusano and Takashi Komuro. 2015. 3D Tabletop User Interface with High Synchronization Accuracy Using a High-speed Stereo Camera. In Proceedings of the 2015 International Conference on Interactive Tabletops & Surfaces (ITS '15). ACM, New York, NY, USA, 39--42. https://doi.org/10.1145/2817721.2817724

Digital Library

[34]

Gierad Laput, Karan Ahuja, Mayank Goel, and Chris Harrison. 2018. Ubicoustics: Plug-and-Play Acoustic Activity Recognition. In Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology (UIST '18). Association for Computing Machinery, New York, NY, USA, 213--224. https://doi.org/10.1145/3242587.3242609

Digital Library

[35]

Huy Viet Le, Thomas Kosch, Patrick Bader, Sven Mayer, and Niels Henze. 2018. PalmTouch: Using the Palm As an Additional Input Modality on Commodity Smartphones. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, New York, NY, USA, Article 360, 13 pages. https://doi.org/10.1145/3173574.3173934

Digital Library

[36]

Huy Viet Le, Sven Mayer, and Niels Henze. 2019. Investigating the Feasibility of Finger Identification on Capacitive Touchscreens Using Deep Learning. In Proceedings of the 24th International Conference on Intelligent User Interfaces (IUI '19). ACM, New York, NY, USA, 637--649. https://doi.org/10.1145/3301275.3302295

Digital Library

[37]

Huy Viet Le, Valentin Schwind, Philipp Göttlich, and Niels Henze. 2017. PredicTouch: A System to Reduce Touchscreen Latency Using Neural Networks and Inertial Measurement Units. In Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces (ISS '17). ACM, New York, NY, USA, 230--239. https://doi.org/10.1145/3132272.3134138

Digital Library

[38]

Darren Leigh, Clifton Forlines, Ricardo Jota, Steven Sanders, and Daniel Wigdor. 2014. High Rate, Low-Latency Multi-Touch Sensing with Simultaneous Orthogonal Multiplexing. In Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology (UIST '14). Association for Computing Machinery, New York, NY, USA, 355--364. https://doi.org/10.1145/2642918.2647353

Digital Library

[39]

Jiandong Liang, Chris Shaw, and Mark Green. 1991. On Temporal-spatial Realism in the Virtual Reality Environment. In Proceedings of the 4th Annual ACM Symposium on User Interface Software and Technology (UIST '91). ACM, New York, NY, USA, 19--25. https://doi.org/10.1145/120782.120784

Digital Library

[40]

Hyunchul Lim, Jungmin Chung, Changhoon Oh, SoHyun Park, Joonhwan Lee, and Bongwon Suh. 2018. TouchFinger: Extending Touch-Based User Interface Capabilities with ?Idle" Finger Gestures in the Air. In Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology (UIST '18). Association for Computing Machinery, New York, NY, USA, 335--346. https://doi.org/10.1145/3242587.3242651

Digital Library

[41]

Quingkui Man and Xinbin Liu. 2014. CN Patent 103902086A, Curve fitting based touch trajectory smoothing method and system. https://www.google.ca/patents/CN103902086A?cl=en.

[42]

Fabrice Matulic, Daniel Vogel, and Raimund Dachselt. 2017. Hand Contact Shape Recognition for Posture-Based Tabletop Widgets and Interaction. In Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces (ISS '17). Association for Computing Machinery, New York, NY, USA, 3--11. https://doi.org/10.1145/3132272.3134126

Digital Library

[43]

Mathieu Nancel, Stanislav Aranovskiy, Rosane Ushirobira, Denis Efimov, Sebastien Poulmane, Nicolas Roussel, and Géry Casiez. 2018. Next-Point Prediction for Direct Touch Using Finite-Time Derivative Estimation. In Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology (UIST '18). ACM, New York, NY, USA, 793--807. https://doi.org/10.1145/3242587.3242646

Digital Library

[44]

Mathieu Nancel, Daniel Vogel, Bruno De Araujo, Ricardo Jota, and Géry Casiez. 2016. Next-Point Prediction Metrics for Perceived Spatial Errors. In Proceedings of the 29th Annual Symposium on User Interface Software and Technology (UIST '16). ACM, New York, NY, USA, 271--285. https://doi.org/10.1145/2984511.2984590

Digital Library

[45]

Albert Ng, Julian Lepinski, Daniel Wigdor, Steven Sanders, and Paul Dietz. 2012. Designing for Low-latency Direct-touch Input. In Proceedings of the 25th Annual ACM Symposium on User Interface Software and Technology (UIST '12). ACM, New York, NY, USA, 453--464. https://doi.org/10.1145/2380116.2380174

Digital Library

[46]

Walter Ritter, Guido Kempter, and Tobias Werner. 2015. User-Acceptance of Latency in Touch Interactions. In Universal Access in Human-Computer Interaction. Access to Interaction, Margherita Antona and Constantine Stephanidis (Eds.). Springer International Publishing, Cham, 139--147.

[47]

Shlomo Sawilowsky. 2009. New Effect Size Rules of Thumb. Journal of Modern Applied Statistical Methods 8 (11 2009), 597--599. https://doi.org/10.22237/jmasm/1257035100

[48]

Richard A Schmidt, Howard N Zelaznik, and James S Frank. 1978. Sources of inaccuracy in rapid movement. In Information processing in motor control and learning. Elsevier, 183--203.

[49]

Craig Shultz, Daehwa Kim, Karan Ahuja, and Chris Harrison. 2022. TriboTouch: Micro-Patterned Surfaces for Low Latency Touchscreens. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 347, 13 pages. https://doi.org/10.1145/3491102.3502069

Digital Library

[50]

Michael W Smith, Joseph Sharit, and Sara J Czaja. 1999. Aging, motor control, and the performance of computer mouse tasks. Human factors 41, 3 (1999), 389--396.

[51]

Zixiong Su, Shitao Fang, and Jun Rekimoto. 2023. LipLearner: Customizable Silent Speech Interactions on Mobile Devices. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23). Association for Computing Machinery, New York, NY, USA, Article 696, 21 pages. https://doi.org/10.1145/3544548.3581465

Digital Library

[52]

P Tsoi and J Xiao. 2015. Advanced touch input on iOS: Increasing responsiveness by reducing latency. https://developer.apple.com/videos/play/wwdc2015/233

[53]

Ruolin Wang, Chun Yu, Xing-Dong Yang, Weijie He, and Yuanchun Shi. 2019. EarTouch: Facilitating Smartphone Use for Visually Impaired People in Mobile and Public Scenarios. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19). ACM, New York, NY, USA, Article 24, 13 pages. https://doi.org/10.1145/3290605.3300254

Digital Library

[54]

Wujun Wang, Xinbin Liu, and Zhou Guangdao. 2013. WO Patent 2013170521A1, Multi-touch tracking method. https://www.google.com/patents/WO2013170521A1?cl=en.

[55]

Jason Wu, Chris Harrison, Jeffrey P. Bigham, and Gierad Laput. 2020. Automated Class Discovery and One-Shot Interactions for Acoustic Activity Recognition. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). Association for Computing Machinery, New York, NY, USA, 1--14. https://doi.org/10.1145/3313831.3376875

Digital Library

[56]

Haijun Xia, Ricardo Jota, Benjamin McCanny, Zhe Yu, Clifton Forlines, Karan Singh, and Daniel Wigdor. 2014. Zero-latency Tapping: Using Hover Information to Predict Touch Locations and Eliminate Touchdown Latency. In Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology (UIST '14). ACM, New York, NY, USA, 205--214. https://doi.org/10.1145/2642918.2647348

Digital Library

[57]

Robert Xiao, Julia Schwarz, and Chris Harrison. 2015. Estimating 3D Finger Angle on Commodity Touchscreens. In Proceedings of the 2015 International Conference on Interactive Tabletops & Surfaces (ITS '15). ACM, New York, NY, USA, 47--50. https://doi.org/10.1145/2817721.2817737

Digital Library

[58]

Xuhai Xu, Jun Gong, Carolina Brum, Lilian Liang, Bongsoo Suh, Shivam Kumar Gupta, Yash Agarwal, Laurence Lindsey, Runchang Kang, Behrooz Shahsavari, Tu Nguyen, Heriberto Nieto, Scott E Hudson, Charlie Maalouf, Jax Seyed Mousavi, and Gierad Laput. 2022. Enabling Hand Gesture Customization on Wrist-Worn Devices. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 496, 19 pages. https://doi.org/10.1145/3491102.3501904

Digital Library

[59]

Xiang Zhang, Kaori Ikematsu, Kunihiro Kato, and Yuta Sugiura. 2022. ReflecTouch: Detecting Grasp Posture of Smartphone Using Corneal Reflection Images. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 289, 8 pages. https://doi.org/10.1145/3491102.3517440

Digital Library

Cited By

Lee DKim SNoh JLee B(2024)User Performance in Consecutive Temporal Pointing: An Exploratory StudyProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642904(1-15)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642904
Fu RDong QLiu Y(2024)Performance and Reliability of Touch Screen: A Game-Oriented Research2024 5th International Conference on Machine Learning and Human-Computer Interaction (MLHMI)10.1109/MLHMI63000.2024.00016(31-36)Online publication date: 14-Mar-2024
https://doi.org/10.1109/MLHMI63000.2024.00016

Recommendations

PredicTaps: Latency Reduction Technique for Single-taps Based on Recognition for Single-tap or Double-tap
CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

In general, a system with touch input waits for a certain period of time (typically 350 -- 500 ms) for a subsequent tap to determine whether the initial tap was a single tap or the first tap of a double tap. This results in latency of hundreds of ...
Ta-Tap: consecutive distant tap operations for one-handed touch screen use
UIST '13 Adjunct: Adjunct Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology

Tapping on the same point twice is a common operation known as double tap, but tapping on distant points in sequence is underutilized. In this poster we explore the potential uses of consecutive distant tap operations, which we call Ta-Tap. As a single-...
Tap 'n' shake: gesture-based smartwatch-smartphone communications system
OzCHI '16: Proceedings of the 28th Australian Conference on Computer-Human Interaction

Smartwatches have recently seen a surge in popularity, and the new technology presents a number of interesting opportunities and challenges, many of which have not been adequately dealt with by existing applications. Current smartwatch messaging systems ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 7, Issue MHCI

MHCI

September 2023

1017 pages

EISSN:2573-0142

DOI:10.1145/3624512

Editor:
Jeff Nichols
Apple Inc., United States

Issue’s Table of Contents

Copyright © 2023 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 September 2023

Published in PACMHCI Volume 7, Issue MHCI

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

1
Total Citations
View Citations
161
Total Downloads

Downloads (Last 12 months)107
Downloads (Last 6 weeks)7

Reflects downloads up to 16 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

Lee DKim SNoh JLee B(2024)User Performance in Consecutive Temporal Pointing: An Exploratory StudyProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642904(1-15)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642904
Fu RDong QLiu Y(2024)Performance and Reliability of Touch Screen: A Game-Oriented Research2024 5th International Conference on Machine Learning and Human-Computer Interaction (MLHMI)10.1109/MLHMI63000.2024.00016(31-36)Online publication date: 14-Mar-2024
https://doi.org/10.1109/MLHMI63000.2024.00016

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Article

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Issue’s Table of Contents