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Effects of Bend Gesture Training on Learnability and Memorability in a Mobile Game

Authors:

Audrey GirouardAuthors Info & Claims

ISS '17: Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces

Pages 240 - 245

https://doi.org/10.1145/3132272.3134142

Published: 17 October 2017 Publication History

Abstract

Bend gestures can be used as a form of Around Device Interaction to address usability issues in touchscreen mobile devices. Yet, it is unclear whether bend gestures can be easily learned and memorized as control schema for games. To answer this, we built a novel deformable smartphone case that detects bend gestures at its corners and sides, and created PaperNinja, a mobile game that uses bends as input. We conducted a study comparing the effect of three pre-game training levels on learnability and memorability: no training, training of the bend gestures only, and training of both the bend gestures and their in-game action mapping. We found that including gesture-mapping positively impacted the initial learning (faster completion time and fewer gestures performed), but had a similar outcome as no training on memorability, while the gestures-without-mapping led to a negative outcome. Our findings suggest that players can learn bend gestures by discovery and training is not essential.

References

[1]

Ahmaniemi, T.T., Kildal, J. and Haveri, M. What is a device bend gesture really good for? In Proc. CHI 2014, ACM, 3503--3512.

Digital Library

[2]

Anderson, F. and Bischof, W.F. Learning and performance with gesture guides. In Proc. CHI 2013, ACM, 1109--1118.

Digital Library

[3]

Ashbrook, D., Baudisch, P. and White, S. Nenya: Subtle and eyes-free mobile input with a magnetically-tracked finger ring. In Proc. CHI 2011, ACM, 2043--2046.

Digital Library

[4]

Butler, A., Izadi, S. and Hodges, S. SideSight: Multi-"touch" interaction around small devices. In Proc. UIST 2008, ACM, 201--204.

Digital Library

[5]

Caine, K. Local standards for sample size at CHI. In Proc. CHI 2016, ACM, 981--992.

Digital Library

[6]

Cohen, J. Statistical Power Analysis for the Behavioral Sciences. Lawrence Erlbaum Associates.

[7]

Daliri, F. and Girouard, A. Visual Feedforward Guides for Performing Bend Gestures on Deformable Prototypes. In Proc. GI 2016, ACM, 209--216.

[8]

Flexpoint http://www.flexpoint.com. (2016).

[9]

Grijincu, D., Nacenta, M.A. and Kristensson, P.O. User-defined interface gestures. In Proc. ITS 2014, ACM, 25--34.

Digital Library

[10]

Grossman, T., Fitzmaurice, G. and Attar, R. A survey of software learnability: Metrics, methodologies and guidelines. In Proc. CHI 2009, ACM, 649--658.

Digital Library

[11]

Harrison, C. and Hudson, S.E. Abracadabra: Wireless, high-precision, and unpowered finger input for very small mobile devices. In Proc. UIST 2009, ACM, 121--124.

Digital Library

[12]

Hwang, S., Ahn, M. and Wohn, K. MagGetz: Customizable passive tangible controllers on and around conventional mobile devices. In Proc. UIST 2013, ACM, 411--416.

Digital Library

[13]

Ketabdar, H., Roshandel, M. and Yüksel, K.A. Towards using embedded magnetic field sensor for around mobile device 3D interaction. In Proc. MobileHCI 2010, ACM, 153--156.

Digital Library

[14]

Kildal, J., Lucero, A. and Boberg, M. Twisting Touch: Combining deformation and touch as input within the same interaction cycle on handheld devices. In Proc. MobileHCI 2013, ACM, 237--246.

Digital Library

[15]

Kratz, S. and Rohs, M. HoverFlow: Expanding the design space of around-device interaction. In Proc. MobileHCI 2009, ACM, 1--8.

Digital Library

[16]

Kuittinen, J., Kultima, A., Niemelä, J. and Paavilainen, J. Casual games discussion. In Conf. Futur. Play 2007, ACM, 105--112.

Digital Library

[17]

Lahey, B., Girouard, A., Burleson, W. and Vertegaal, R. PaperPhone: Understanding the use of bend gestures in mobile devices with flexible electronic paper displays. In Proc. CHI 2011, ACM, 1303--1312.

Digital Library

[18]

Lee, S., Lim, Y. and Lee, K.-P. Exploring the effects of size on deformable user interfaces. In Proc. MobileHCI 2012, ACM, 89--94.

Digital Library

[19]

Lo, J. and Girouard, A. Bendy: An exploration into gaming with mobile flexible devices. In Proc. TEI 2017, ACM, 163--172.

Digital Library

[20]

Maqsood, S., Chiasson, S. and Girouard, A. Bend passwords: Using gestures to authenticate on flexible devices. Personal and Ubiquitous Computing. 20, 4 (2016), 573--600.

Digital Library

[21]

Marti, P. and Iacono, I. Experience over time: evaluating the experience of use of a squeezable interface in the medium term. Multimedia Tools and Applications. (2016).

[22]

Nacenta, M.A., Kamber, Y., Qiang, Y. and Kristensson, P.O. Memorability of pre-designed and user-defined gesture sets. In Proc. CHI 2013, ACM, 1099--1108.

Digital Library

[23]

Nguyen, V., Kumar, P., Yoon, S.H., Verma, A. and Ramani, K. SOFTii: Soft tangible interface for continuous control of virtual objects with pressure-based input. In Proc. TEI 2015, ACM, 539--544.

Digital Library

[24]

Nguyen, V.P., Yoon, S.H., Verma, A. and Ramani, K. BendID: Flexible interface for localized deformation recognition. In Proc. UbiComp 2014, ACM, 553--557.

Digital Library

[25]

Nielsen, J. Usability Engineering. Morgan Kaufmann.

[26]

Potter, R.L., Weldon, L.J. and Shneiderman, B. Improving the accuracy of touch screens: an experimental evaluation of three strategies. In Proc. CHI 1988, ACM, 27--32.

Digital Library

[27]

Salmon, A.W., Schmidt, R. a and Walter, C.B. Knowledge of Results and Motor Learning: A Review and Critical Reappraisal. Psychological bulletin. 95, 3 (1984), 355--386.

[28]

Schmidt, R.A. and Lee, T.D. Motor learning concepts and research methods. Motor Control and Learning E. 5, (1999).

[29]

Strohmeier, P., Burstyn, J., Carrascal, J.P., Levesque, V. and Vertegaal, R. ReFlex: A Flexible Smartphone with Active Haptic Feedback for Bend Input. In Proc. TEI 2016, 185--192.

Digital Library

[30]

Troiano, G.M., Pedersen, E.W. and Hornbæk, K. User-defined gestures for elastic, deformable displays. In Proc. AVI 2014, ACM, 1--8.

Digital Library

[31]

Warren, K., Lo, J., Vadgama, V. and Girouard, A. Bending the rules: Bend gesture classification for flexible displays. In Proc. CHI 2013, ACM, 607--610.

Digital Library

[32]

Ye, Z. and Khalid, H. Cobra: Flexible Displays for Mobile Gaming Scenarios. In Proc. CHI EA 2010, ACM, 4363--4367.

Digital Library

Cited By

Eady AGuerrero ACheung VThue DGirouard A(2024)BendAide: A Deformable Interface to Augment Touchscreen Mobile DevicesProceedings of the 50th Graphics Interface Conference10.1145/3670947.3670960(1-10)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3670947.3670960
Mackamul ECasiez GMalacria S(2024)Clarifying and differentiating discoverabilityHuman–Computer Interaction10.1080/07370024.2024.2364606(1-26)Online publication date: 13-Jun-2024
https://doi.org/10.1080/07370024.2024.2364606
Borah PSorathia K(2023)Investigating user performance and preference for two magnitude levels of size and angle of bend on a smartphone-sized flexible deviceBehaviour & Information Technology10.1080/0144929X.2023.2245062(1-27)Online publication date: 13-Sep-2023
https://doi.org/10.1080/0144929X.2023.2245062
Show More Cited By

Index Terms

Effects of Bend Gesture Training on Learnability and Memorability in a Mobile Game
1. Human-centered computing
  1. Human computer interaction (HCI)

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Information & Contributors

Information

Published In

cover image ACM Conferences

ISS '17: Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces

October 2017

504 pages

ISBN:9781450346917

DOI:10.1145/3132272

General Chairs:
Sriram Subramanian
University of Sussex, UK
,
Jürgen Steimle
Saarland University, Germany
,
Program Chairs:
Raimund Dachselt
Technische Universität Dresden, Germany
,
Diego Martinez Plasencia
University of Sussex, UK
,
Tovi Grossman
Autodesk Research

Copyright © 2017 ACM.

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 October 2017

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Research-article
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Refereed limited

Funding Sources

Natural Sciences and Engineering Research Council of Canada, Create Grant
Natural Sciences and Engineering Research Council of Canada, Discovery Grant

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ISS '17

Sponsor:

SIGCHI

ISS '17: Interactive Surfaces and Spaces

October 17 - 20, 2017

Brighton, United Kingdom

Acceptance Rates

ISS '17 Paper Acceptance Rate 32 of 119 submissions, 27%;

Overall Acceptance Rate 147 of 533 submissions, 28%

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Cited By

Eady AGuerrero ACheung VThue DGirouard A(2024)BendAide: A Deformable Interface to Augment Touchscreen Mobile DevicesProceedings of the 50th Graphics Interface Conference10.1145/3670947.3670960(1-10)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3670947.3670960
Mackamul ECasiez GMalacria S(2024)Clarifying and differentiating discoverabilityHuman–Computer Interaction10.1080/07370024.2024.2364606(1-26)Online publication date: 13-Jun-2024
https://doi.org/10.1080/07370024.2024.2364606
Borah PSorathia K(2023)Investigating user performance and preference for two magnitude levels of size and angle of bend on a smartphone-sized flexible deviceBehaviour & Information Technology10.1080/0144929X.2023.2245062(1-27)Online publication date: 13-Sep-2023
https://doi.org/10.1080/0144929X.2023.2245062
Takayama YIchikawa YShizuki BKawaguchi ITakahashi S(2021)A User-based Mid-air Hand Gesture Set for SpreadsheetsProceedings of the Asian CHI Symposium 202110.1145/3429360.3468193(122-128)Online publication date: 8-May-2021
https://dl.acm.org/doi/10.1145/3429360.3468193
Guerrero APietrzak TGirouard A(2021)HyperBrush: Exploring the Influence of Flexural Stiffness on the Performance and Preference for Bendable Stylus InterfacesHuman-Computer Interaction – INTERACT 202110.1007/978-3-030-85610-6_4(51-71)Online publication date: 26-Aug-2021
https://doi.org/10.1007/978-3-030-85610-6_4
Boem ATroiano GHarrison SBardzell SNeustaedter CTatar D(2019)Non-Rigid HCIProceedings of the 2019 on Designing Interactive Systems Conference10.1145/3322276.3322347(885-906)Online publication date: 18-Jun-2019
https://dl.acm.org/doi/10.1145/3322276.3322347
Kirshenbaum NRobertson SMueller FJohnson DSchouten BToups ZWyeth P(2018)PEPA DeckProceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts10.1145/3270316.3271521(479-486)Online publication date: 23-Oct-2018
https://dl.acm.org/doi/10.1145/3270316.3271521
Girouard AEady A(2018)Deformable User Interfaces: Using Flexible Electronics for Human Computer Interaction2018 International Flexible Electronics Technology Conference (IFETC)10.1109/IFETC.2018.8583864(1-3)Online publication date: Aug-2018
https://doi.org/10.1109/IFETC.2018.8583864

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