research-article

Head tilting for interaction in mobile contexts

Authors:

Andrew Crossan,

Stephen Brewster,

Roderick Murray-SmithAuthors Info & Claims

MobileHCI '09: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services

Article No.: 6, Pages 1 - 10

https://doi.org/10.1145/1613858.1613866

Published: 15 September 2009 Publication History

Abstract

Developing interfaces for mobile situations requires that devices are useable on the move. Here, we explore head tilting as an input technique to allow a user to interact with a mobile device 'hands free'. A Fitts' Law style evaluation is described where a user acquires targets, moving the cursor by head tilt. We explore d position and velocity control cursor mechanisms in both static and mobile situations to see which provided the best level of performance. Results show that participants could successfully acquire targets using head tilting. Position control was shown to be si gnificantly faster and more accurate in a static context, but exhi bited significantly poorer accuracy and longer target acquisition times when the user was on the move. We further demonstrate how analysis of user's gait shows consistent targeting biases at different stages in the gait cycle.

References

[1]

Accot, J. and Zhai, S. Refining Fitts' law models for bivariate pointing. in Proceedings of ACM CHI. 2003. Fort Lauderdale, Florida: ACM Press, 193--200.

Digital Library

[2]

Balakrishnan, R. and MacKenzie, I. S. Performance Differences in the Fingers, Wrist, and Forearm in Computer Input Control. in Proceedings of ACM CHI. 1997. Atlanta Georgia, USA: ACM Press, 303--310.

Digital Library

[3]

Barreto, A., Scargle, S., and Adjouadi, M. Hands-off human-computer interfaces for individuals with severe motor disabilities in Proceedings of the HCI International '99 (the 8th International Conference on Human -Computer Interaction) on Human-Computer Interaction: Communication, Cooperation, and Application Design-Volume 2. 1999 ACM Press, 970--974.

Digital Library

[4]

Brewster, S. A., Overcoming the lack of screen space on mobile computers. Personal and Ubiquitous Computing, 2002. 6(3): p. 188--205.

Digital Library

[5]

Brewster, S. A., Lumsden, J., Bell, M., Hall, M., and Tasker, S. Multimodal 'Eyes-Free' Interaction Techniques for Wearable Devices. In Proceedings of ACM CHI. 2003 Florida, USA: ACM, 463--480.

Digital Library

[6]

Costanza, E., Inverso, S. A., and Allen, R., Toward subtle intimate interfaces for mobile devices using an EMG controller. in Proceedings of the ACM CHI. 2005 Portland, Oregon, USA. p. 481--489.

Digital Library

[7]

Crossan, A., Murray-Smith, R., Brewster, S., and Musizza, B., Instrumented Usability Analysis for Mobile Devices. in Handbook of Mobile HCI. 2007, The Ideas Group Inc.

[8]

Crossan, A., Williamson, J., Brewster, S., and Murray-Smith, R., Wrist Rotation for Interaction in Mobile Contexts. in the Proceedings of Mobile HCI. 2008, ACM Press: Amsterdam, Netherlands.

Digital Library

[9]

Eslambolchilar, P. and Murray-Smith, R., Control centric approach in designing scrolling and zooming user interfaces. International Journal of Human-Computer Studies, 2008. 66(12): p. 838--856.

Digital Library

[10]

Fitts, P. M., The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology, 1954. 47(6): p. 381--391.

[11]

Hinckley, K., Pierce, J., and Horvitz, E. Sensing Techniques for Mobile Interaction. Proceedings of ACM UIST. 200091-100.

Digital Library

[12]

Hoggan, E., Crossan, A., Brewster, S., and Kaaresoja, T., Audio or Tactile Feedback: Which Modality When?, in Accepted for publication in ACM CHI. 2009 Boston, USA.

Digital Library

[13]

Jagacinski, R. and Monk, D., Fitts' law in two dimensions with hand and head movements. Journal of Motor Behavior, 1985. 17: p. 77--95.

[14]

Linjama, J. and Kaaresoja, T. Novel, minimalist haptic gesture interaction for mobile devices. in Proceedings of the third Nordic conference on Human-Computer Interaction. 2004. Tampere, Finland: ACM International Conference Proceeding Series, 457--458.

Digital Library

[15]

LoPresti, E., Brienza, D. M., Angelo, J., Gilbertson, L., and Sakai, J. Neck range of motion and use of computer head controls. in Proceedings of the fourth international ACM conference on Assistive technologies ASSETS. 2000. Arlington, Virginia, USA: ACM Press, 121--128.

Digital Library

[16]

MacKenzie, I. S., Fitts' law as a research and design tool in human-computer interaction. Human-Computer Interaction, 1992. 7: p. 91--139.

Digital Library

[17]

MacKenzie, I. S. and Isokoski, P., Fitts' throughput and the speed-accuracy tradeoff., in Proceedings of the ACM Conference on Human Factors in Computing Systems -- CHI 2008. 2008, New York: ACM.

Digital Library

[18]

MacKenzie, I. S., Kauppinen, T., and SilfVerberg, M. Accuracy Measures for Evaluating Computer Pointing Devices, in Proceedings of the ACM CHI. 2001: ACM Press, 9--16.

Digital Library

[19]

Mäntyjärvi, J., Kela, J., Korpipää, P., and Kallio, S. Enabling fast and effortless customisation in accele rometer based gesture interaction. in Proceedings of the 3rd international conference on Mobile and ubiquitous multimedia. 2004: ACM, 25--31.

Digital Library

[20]

Marentakis, G. N. and Brewster, S. A. Effects of Feedback, Mobility and Index of Difficulty on Deictic Spatial Audio Target Acquisition in the Horizontal Plane. In Proceedings of ACM CHI. 2006. Montreal, Canada: ACM Press Addison-Wesley, 359--368.

Digital Library

[21]

Morency, L. and Darrell, T. Head gesture recognition in intelligent interfaces: the role of context in improving recognition. In Proceedings of the 11th International Conference on intelligent User interfaces. 2006. Sydney, Australia: ACM, 32--38.

Digital Library

[22]

Oakley, I. and O'Modhrain, M. Tilt to scroll: evaluating a motion based vibrotactile mobile interface. in Proceedings of World Haptics. 2005: IEEE, 40--49.

Digital Library

[23]

Oakley, I. and Park, J. A motion-based marking menu system. in Extended Abstracts of ACM CHI. 2007. San Jose, CA: ACM.

Digital Library

[24]

Partridge, K., Chatterjee, S., Sazawal, V., Borriello, G., and Want, R. TiltType: Accelerometer-Supported Text Entry for Very Small Devices. Proceedings of UIST. 2002.

Digital Library

[25]

Pikovsky, A., Rosenblum, M., and Kurths, J., Synchronization: A universal concept in nonlinear sciences. 2001: Cambridge University Press.

[26]

Pirhonen, A., Brewster, S. A., and Holguin, C. Gestural and Audio Metaphors as a Means of Control for Mobile Devices. In Proceedings of ACM CHI. 2002. Minneapolis: ACM Press Addison-Wesley, 291--198.

Digital Library

[27]

Rekimoto, J. Tilting Operations for Small Screen Interfaces. In Proceedings of UIST. 1996167--168.

Digital Library

[28]

Rekimoto, J. Gesturewrist and gesturepad: Unobtrusive wearable interaction devices. In Proceedings of Fifth International Symposium on Wearable Computers (ISWC '01). 2001.

Digital Library

[29]

Rico, J. and Brewster, S. Gestures all around us: user differences in social acceptability perceptions of gesture based interfaces. to appear in extended proceedings of ACM Mobile HCI. 2009. Bonn, Germany.

Digital Library

[30]

Ronkainen, S., Häkkilä, J., Kaleva, S., Colley, A., and Linjama, J. Tap input as an embedded interaction method for mobile devices. in Proceedings of the 1st international conference on Tangible and embedded interaction. 2007. Baton Rouge, Louisiana: ACM, 263--270.

Digital Library

[31]

Williamson, J., Murray-Smith, R., and Hughes, S. Shoogle: Multimodal Excitatory Interaction on Mobile Devices. in Proceedings of ACM CHI. 2007. San Jose.

Digital Library

[32]

Williamson, J., Murray-Smith, R., and Paisley, A. M. Dyanmics and Probabilistic Text Entry. in Proceedings of the Hamilton Summer School on Switching and Learning in Feedback systems. 2005: Springer-Verlag, Lecture Notes in Computing Science, Vol. 3355, 333--342

Digital Library

[33]

Zhai, S. and Kristensson, P. Shorthand writing on stylus keyboard. in Proceedings of ACM CHI. 2003. Florida, USA: ACM, 97--104.

Digital Library

[34]

Zhai, S., Milgram, P., and Buxton, W. The Influence of Muscle Groups on Performance of Multiple Degree-of-Freedom Input. in Proceedings of ACM CHI. 1996. Vancouver, BC, Canada: ACM Press, 308--315.

Digital Library

Cited By

Azim MRahman AHeo S(2023)UnifiedSense: Enabling Without-Device Gesture Interactions Using Over-the-shoulder Training Between Redundant Wearable SensorsProceedings of the ACM on Human-Computer Interaction10.1145/36042777:MHCI(1-25)Online publication date: 13-Sep-2023
https://dl.acm.org/doi/10.1145/3604277
Lacanlale JIsayan PMkrtchyan KNahapetian A(2022)Sensoring the Neck: Classifying Movements and Actions with a Neck-Mounted Wearable DeviceSensors10.3390/s2212431322:12(4313)Online publication date: 7-Jun-2022
https://doi.org/10.3390/s22124313
Futami KTabuchi YMurao KTerada T(2022)Exploring Gaze Movement Gesture Recognition Method for Eye-Based Interaction Using Eyewear with Infrared Distance Sensor ArrayElectronics10.3390/electronics1110163711:10(1637)Online publication date: 20-May-2022
https://doi.org/10.3390/electronics11101637
Show More Cited By

Index Terms

Head tilting for interaction in mobile contexts
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Touch screens

Recommendations

Wrist rotation for interaction in mobile contexts
MobileHCI '08: Proceedings of the 10th international conference on Human computer interaction with mobile devices and services

In this paper, we investigate wrist rotation as a hands-free method of interaction with a mobile device. To evaluate this technique, a Fitts' Law targeting study is described in four different postures: resting, seated, standing and walking. Results ...
Foot tapping for mobile interaction
BCS '10: Proceedings of the 24th BCS Interaction Specialist Group Conference

In this paper we present an initial investigation of foot tapping as a mechanism for interacting with a mobile device without removing it from a pocket. We compare a foot tapping technique for menu interaction with two more traditional situations: one ...
A Fitts' law study of click and dwell interaction by gaze, head and mouse with a head-mounted display
COGAIN '18: Proceedings of the Workshop on Communication by Gaze Interaction

Gaze and head tracking, or pointing, in head-mounted displays enables new input modalities for point-select tasks. We conducted a Fitts' law experiment with 41 subjects comparing head pointing and gaze pointing using a 300 ms dwell (n = 22) or click (n =...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

MobileHCI '09: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services

September 2009

473 pages

ISBN:9781605582818

DOI:10.1145/1613858

Conference Chair:
Reinhard Oppermann
Fraunhofer FIT
,
Program Chairs:
Markus Eisenhauer
Fraunhofer FIT
,
Matthias Jarke
RWTH Aachen + Fraunhofer FIT
,
Volker Wulf
University of Siegen + Fraunhofer FIT

Copyright © 2009 Copyright is held by the author/owner(s).

In-Cooperation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 September 2009

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

Engineering and Physical Sciences Research Council

Conference

MobileHCI '09

MobileHCI '09: 11th International Conference on Human Computer Interaction with Mobile Devices and Services

September 15 - 18, 2009

Bonn, Germany

Acceptance Rates

MobileHCI '09 Paper Acceptance Rate 23 of 95 submissions, 24%;

Overall Acceptance Rate 202 of 906 submissions, 22%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

40
Total Citations
View Citations
1,127
Total Downloads

Downloads (Last 12 months)21
Downloads (Last 6 weeks)1

Reflects downloads up to 30 Aug 2024

Other Metrics

View Author Metrics

Citations

Cited By

Azim MRahman AHeo S(2023)UnifiedSense: Enabling Without-Device Gesture Interactions Using Over-the-shoulder Training Between Redundant Wearable SensorsProceedings of the ACM on Human-Computer Interaction10.1145/36042777:MHCI(1-25)Online publication date: 13-Sep-2023
https://dl.acm.org/doi/10.1145/3604277
Lacanlale JIsayan PMkrtchyan KNahapetian A(2022)Sensoring the Neck: Classifying Movements and Actions with a Neck-Mounted Wearable DeviceSensors10.3390/s2212431322:12(4313)Online publication date: 7-Jun-2022
https://doi.org/10.3390/s22124313
Futami KTabuchi YMurao KTerada T(2022)Exploring Gaze Movement Gesture Recognition Method for Eye-Based Interaction Using Eyewear with Infrared Distance Sensor ArrayElectronics10.3390/electronics1110163711:10(1637)Online publication date: 20-May-2022
https://doi.org/10.3390/electronics11101637
Futami KOyama KMurao K(2022)Augmenting Ear Accessories for Facial Gesture Input Using Infrared Distance Sensor ArrayElectronics10.3390/electronics1109148011:9(1480)Online publication date: 5-May-2022
https://doi.org/10.3390/electronics11091480
Azim MRahman AHeo S(2022)Over-The-Shoulder Training Between Redundant Wearable Sensors for Unified Gesture InteractionsAdjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526114.3558725(1-3)Online publication date: 29-Oct-2022
https://dl.acm.org/doi/10.1145/3526114.3558725
Akpinar EYeşilada YTemizer S(2020)The Effect of Context on Small Screen and Wearable Device Users’ Performance - A Systematic ReviewACM Computing Surveys10.1145/338637053:3(1-44)Online publication date: 28-May-2020
https://dl.acm.org/doi/10.1145/3386370
Hueber SCherek CWacker PBorchers JVoelker S(2020)Headbang: Using Head Gestures to Trigger Discrete Actions on Mobile Devices22nd International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/3379503.3403538(1-10)Online publication date: 5-Oct-2020
https://dl.acm.org/doi/10.1145/3379503.3403538
Haas GStemasov ERietzler MRukzio EWakkary RAndersen KOdom WDesjardins APetersen M(2020)Interactive Auditory Mediated RealityProceedings of the 2020 ACM Designing Interactive Systems Conference10.1145/3357236.3395493(2035-2050)Online publication date: 3-Jul-2020
https://dl.acm.org/doi/10.1145/3357236.3395493
Voelker SHueber SCorsten CRemy CBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)HeadReach: Using Head Tracking to Increase Reachability on Mobile Touch DevicesProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376868(1-12)Online publication date: 21-Apr-2020
https://dl.acm.org/doi/10.1145/3313831.3376868
Masai KKunze KSakamoto DSugiura YSugimoto M(2020)Face Commands - User-Defined Facial Gestures for Smart Glasses2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR50242.2020.00064(374-386)Online publication date: Nov-2020
https://doi.org/10.1109/ISMAR50242.2020.00064
Show More Cited By

View Options

Get Access

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 Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents