SmoothMoves: Smooth pursuits head movements for augmented reality

Augusto Esteves, David Verweij, Liza Suraiya, Rasel Islam, Youryang Lee, Ian Oakley

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

13 Citations (Scopus)

Abstract

SmoothMoves is an interaction technique for augmented reality (AR) based on smooth pursuits head movements. It works by computing correlations between the movements of on-screen targets and the user's head while tracking those targets. The paper presents three studies. The first suggests that head based input can act as an easier and more affordable surrogate for eye-based input in many smooth pursuits interface designs. A follow-up study grounds the technique in the domain of augmented reality, and captures the error rates and acquisition times on different types of AR devices: head-mounted (2.6%, 1965ms) and hand-held (4.9%, 2089ms). Finally, the paper presents an interactive lighting system prototype that demonstrates the benefits of using smooth pursuits head movements in interaction with AR interfaces. A final qualitative study reports on positive feedback regarding the technique's suitability for this scenario. Together, these results show SmoothMoves is viable, efficient and immediately available for a wide range of wearable devices that feature embedded motion sensing.

Original languageEnglish
Title of host publicationUIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology
Place of PublicationNew York
PublisherAssociation for Computing Machinery, Inc
Pages167-178
Number of pages12
ISBN (Electronic)9781450349819
DOIs
Publication statusPublished - 20 Oct 2017
Event30th Annual ACM Symposium on User Interface Software and Technology (UIST 2017) - Quebec City, Canada
Duration: 22 Oct 201725 Oct 2017
Conference number: 30
https://uist.acm.org/uist2017/

Conference

Conference30th Annual ACM Symposium on User Interface Software and Technology (UIST 2017)
Abbreviated titleUIST 2017
CountryCanada
CityQuebec City
Period22/10/1725/10/17
Internet address

Fingerprint

Augmented reality
Target tracking
Lighting
Feedback

Keywords

  • AR
  • Augmented reality
  • Eye tracking
  • HMD
  • Input technique
  • Motion matching
  • Smooth pursuits
  • Wearable computing

Cite this

Esteves, A., Verweij, D., Suraiya, L., Islam, R., Lee, Y., & Oakley, I. (2017). SmoothMoves: Smooth pursuits head movements for augmented reality. In UIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology (pp. 167-178). New York: Association for Computing Machinery, Inc. https://doi.org/10.1145/3126594.3126616
Esteves, Augusto ; Verweij, David ; Suraiya, Liza ; Islam, Rasel ; Lee, Youryang ; Oakley, Ian. / SmoothMoves : Smooth pursuits head movements for augmented reality. UIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology. New York : Association for Computing Machinery, Inc, 2017. pp. 167-178
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Esteves, A, Verweij, D, Suraiya, L, Islam, R, Lee, Y & Oakley, I 2017, SmoothMoves: Smooth pursuits head movements for augmented reality. in UIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc, New York, pp. 167-178, 30th Annual ACM Symposium on User Interface Software and Technology (UIST 2017), Quebec City, Canada, 22/10/17. https://doi.org/10.1145/3126594.3126616

SmoothMoves : Smooth pursuits head movements for augmented reality. / Esteves, Augusto; Verweij, David; Suraiya, Liza; Islam, Rasel; Lee, Youryang; Oakley, Ian.

UIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology. New York : Association for Computing Machinery, Inc, 2017. p. 167-178.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Esteves A, Verweij D, Suraiya L, Islam R, Lee Y, Oakley I. SmoothMoves: Smooth pursuits head movements for augmented reality. In UIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology. New York: Association for Computing Machinery, Inc. 2017. p. 167-178 https://doi.org/10.1145/3126594.3126616