Abstract
Drivers have to take the safety of driving into account when they are interacting with the in-vehicle or personal devices. As a result, the micro-gestures performed on a steering wheel have potential benefits for drivers, as they can reduce mental workload and motor resources to a large extent. Without self-piloting system, a bicyclist can only observe the surroundings by naked eyes, thus it is important to measure how much the gesturing will distract users’ attention from riding. In addition, the design of micro-gestures should enable the variations of grasping posture of user in this context. With designers’ help, we devised a set of finger gestures for controlling music applications while cycling. In a lab experiment where the driving situation and field of vision are simulated, we asked 18 participants to perform the gestures in a dual-task test in response to voice triggers. The present study examined the effect of micro-gestures on cyclists’ performance of visual search, as well as the user satisfaction of this input technology.
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References
Bach, K.M., Jæger, M.G., Skov, M.S., Thomassen, N.G.: You can touch, but you can’t look: interacting with in-vehicle systems. In: Proceedings of CHI 2008, Florence, Italy, pp. 1139–1148 (2008)
Döring, T., Kern, D., Marshall, P., et al.: Gestural interaction on the steering wheel: reducing the visual demand. In: Proceedings of CHI 2011, Vancouver, Canada, pp. 483–492 (2011)
Kendon, A.: The study of gesture: some remarks on its history. Rech. Semiot. Semiot. Inq. 2, 45–62 (1982)
Mcneill, D.: Gesture and Thought. University of Chicago Press, Chicago (2008)
Karam, M., Schrafel, M.C.: A taxonomy of gestures in human computer interaction. Technical report, Electronics and Computer Science, University of Southampton (2005)
Pavlovic, V., Sharma, R., Huang, T.S.: Visual interpretation of hand gestures for human-computer interaction: a review. IEEE Trans. Pattern Anal. Mach. Intel. 19(7), 677–695 (1997)
Hurtienne, J., Stößel, C., Sturm, C., et al.: Physical gestures for abstract concepts: inclusive design with primary metaphors. Inter. Comput. 22(6), 475–484 (2010)
Wolf, K.: Microgestures—enabling gesture input with busy hands. In: Bakker, S., et al. (eds.) Peripheral Interaction, pp. 95–116. Springer, Switzerland (2016)
González, I.E., Wobbrock, J.O., Chau, D.H., Faulring, A., Myers, B.A.: Eyes on the road, hands on the wheel: thumb-based interaction techniques for input on steering wheels. In: Graphics Interface Conference 2007, Montréal, Canada, pp. 95–102 (2007)
Lee, S.H., Yoon, S.O., Shin, J.H.: On-wheel finger gesture control for in-vehicle systems on central consoles. In: Proceedings of Automotive UI 2015, Nottingham, United Kingdom, pp. 94–99 (2015)
Koyama, S., Sugiura, Y., Ogata, M., Withana, A., Uema, Y., Honda, M.: Multi-touch steering wheel for in-car tertiary applications using infrared sensors. In: Proceedings of AH 2014, Kobe, Japan, pp. 1–4 (2014)
Wolf, K., Meyer, S., Mayer, S.: Microgesture detection for remote control with mobile devices. In: MobileHCI 2016 Adjunct, 06–09 September, Florence, Italy (2016)
Dancu, A., et al.: Gesture bike: examining projection surfaces and turn signal systems for urban cycling. In: Proceedings of ITS 2015, 15–18 November, Funchal, Portugal (2015)
Tan, Y., Yoon, S.H., Ramani, K.: BikeGesture: user elicitation and performance of micro hand gesture input for cycling. In: CHI EA 2017, Denver, CO, USA, pp. 2147–2154 (2017)
Morris, M.R., et al.: Reducing legacy bias in gesture elicitation studies. Interactions 21(3), 40–45 (2014)
Luo, S.J., Shu, G., Gong, Y.: Real time relationship between individual finger force and grip exertion on distal phalanges in linear force following tasks. Appl. Ergon. 69, 25–31 (2018)
Brooke, J.: SUS: a quick and dirty usability scale. In: Jordan, P.W., Thomas, B., Weerdmeester, B.A., McClelland, I.L. (eds.) Usability Evaluation in Industry, pp. 189–194. Taylor and Francis, London (1996)
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Xiao, Y., He, R. (2019). The Handlebar as an Input Field: Evaluating Finger Gestures Designed for Bicycle Riders. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2018. Advances in Intelligent Systems and Computing, vol 786. Springer, Cham. https://doi.org/10.1007/978-3-319-93885-1_59
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DOI: https://doi.org/10.1007/978-3-319-93885-1_59
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