User evaluation of hand gestures for designing an intelligent in-vehicle interface

Hessam Jahani; Hasan J. Alyamani; Manolya Kavakli; Arindam Dey; Mark Billinghurst

doi:10.1007/978-3-319-59144-5_7

User evaluation of hand gestures for designing an intelligent in-vehicle interface

Hessam Jahani^*, Hasan J. Alyamani, Manolya Kavakli, Arindam Dey, Mark Billinghurst

^*Corresponding author for this work

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

Driving a car is a high cognitive-load task requiring full attention behind the wheel. Intelligent navigation, transportation, and in-vehicle interfaces have introduced a safer and less demanding driving experience. However, there is still a gap for the existing interaction systems to satisfy the requirements of actual user experience. Hand gesture as an interaction medium, is natural and less visually demanding while driving. This paper aims to conduct a user-study with 79 participants to validate mid-air gestures for 18 major in-vehicle secondary tasks. We have demonstrated a detailed analysis on 900 mid-air gestures investigating preferences of gestures for in-vehicle tasks, their physical affordance, and driving errors. The outcomes demonstrate that employment of mid-air gestures reduces driving errors by up to 50% compared to traditional air-conditioning control. Results can be used for the development of vision-based in-vehicle gestural interfaces.

Original language	English
Title of host publication	Designing the Digital Transformation - 12th International Conference, DESRIST 2017, Proceedings
Editors	Alan Hevner, Jan vom Brocke, Alexander Maedche
Publisher	Springer-Verlag Italia Srl
Pages	104-121
Number of pages	18
ISBN (Print)	9783319591438
DOIs	https://doi.org/10.1007/978-3-319-59144-5_7
Publication status	Published - 23 May 2017
Event	12th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2017 - Karlsruhe, Germany Duration: 30 May 2017 → 1 Jun 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10243 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	12th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2017
Country/Territory	Germany
City	Karlsruhe
Period	30/05/17 → 1/06/17

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2017.

Access to Document

10.1007/978-3-319-59144-5_7

Cite this

Jahani, H., Alyamani, H. J., Kavakli, M., Dey, A., & Billinghurst, M. (2017). User evaluation of hand gestures for designing an intelligent in-vehicle interface. In A. Hevner, J. vom Brocke, & A. Maedche (Eds.), Designing the Digital Transformation - 12th International Conference, DESRIST 2017, Proceedings (pp. 104-121). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10243 LNCS). Springer-Verlag Italia Srl. https://doi.org/10.1007/978-3-319-59144-5_7

Jahani, Hessam ; Alyamani, Hasan J. ; Kavakli, Manolya et al. / User evaluation of hand gestures for designing an intelligent in-vehicle interface. Designing the Digital Transformation - 12th International Conference, DESRIST 2017, Proceedings. editor / Alan Hevner ; Jan vom Brocke ; Alexander Maedche. Springer-Verlag Italia Srl, 2017. pp. 104-121 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Driving a car is a high cognitive-load task requiring full attention behind the wheel. Intelligent navigation, transportation, and in-vehicle interfaces have introduced a safer and less demanding driving experience. However, there is still a gap for the existing interaction systems to satisfy the requirements of actual user experience. Hand gesture as an interaction medium, is natural and less visually demanding while driving. This paper aims to conduct a user-study with 79 participants to validate mid-air gestures for 18 major in-vehicle secondary tasks. We have demonstrated a detailed analysis on 900 mid-air gestures investigating preferences of gestures for in-vehicle tasks, their physical affordance, and driving errors. The outcomes demonstrate that employment of mid-air gestures reduces driving errors by up to 50% compared to traditional air-conditioning control. Results can be used for the development of vision-based in-vehicle gestural interfaces.",

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Jahani, H, Alyamani, HJ, Kavakli, M, Dey, A & Billinghurst, M 2017, User evaluation of hand gestures for designing an intelligent in-vehicle interface. in A Hevner, J vom Brocke & A Maedche (eds), Designing the Digital Transformation - 12th International Conference, DESRIST 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10243 LNCS, Springer-Verlag Italia Srl, pp. 104-121, 12th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2017, Karlsruhe, Germany, 30/05/17. https://doi.org/10.1007/978-3-319-59144-5_7

User evaluation of hand gestures for designing an intelligent in-vehicle interface. / Jahani, Hessam; Alyamani, Hasan J.; Kavakli, Manolya et al.
Designing the Digital Transformation - 12th International Conference, DESRIST 2017, Proceedings. ed. / Alan Hevner; Jan vom Brocke; Alexander Maedche. Springer-Verlag Italia Srl, 2017. p. 104-121 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10243 LNCS).

Research output: Chapter in Book/Published conference output › Conference publication

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AU - Alyamani, Hasan J.

AU - Kavakli, Manolya

AU - Dey, Arindam

AU - Billinghurst, Mark

PY - 2017/5/23

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AB - Driving a car is a high cognitive-load task requiring full attention behind the wheel. Intelligent navigation, transportation, and in-vehicle interfaces have introduced a safer and less demanding driving experience. However, there is still a gap for the existing interaction systems to satisfy the requirements of actual user experience. Hand gesture as an interaction medium, is natural and less visually demanding while driving. This paper aims to conduct a user-study with 79 participants to validate mid-air gestures for 18 major in-vehicle secondary tasks. We have demonstrated a detailed analysis on 900 mid-air gestures investigating preferences of gestures for in-vehicle tasks, their physical affordance, and driving errors. The outcomes demonstrate that employment of mid-air gestures reduces driving errors by up to 50% compared to traditional air-conditioning control. Results can be used for the development of vision-based in-vehicle gestural interfaces.

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Jahani H, Alyamani HJ, Kavakli M, Dey A, Billinghurst M. User evaluation of hand gestures for designing an intelligent in-vehicle interface. In Hevner A, vom Brocke J, Maedche A, editors, Designing the Digital Transformation - 12th International Conference, DESRIST 2017, Proceedings. Springer-Verlag Italia Srl. 2017. p. 104-121. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-59144-5_7

User evaluation of hand gestures for designing an intelligent in-vehicle interface

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