Effect of Ambient Light on Mobile Interaction (bibtex)
by Sarsenbayeva, Zhanna, van Berkel, Niels, Jiang, Weiwei, Hettiachchi, Danula, Kostakos, Vassilis and Goncalves, Jorge
Abstract:
The adverse effect of ambient noise on humans has been extensively studied in fields like cognitive science, indicating a significant impact on cognitive performance, behaviour, and emotional state. Surprisingly, the effect of ambient noise has not been studied in the context of mobile interaction. As smartphones are ubiquitous by design, smartphone users are exposed to a wide variety of ambient noises while interacting with their devices. In this paper, we present a structured analysis of the effect of six distinct ambient noise types on typical smartphone usage tasks. The evaluated ambient noise types include variants of music, urban noise and speech. We analyse task completion time and errors, and find that different ambient noises affect users differently. For example, while speech and urban noise slow down text entry, being exposed to music reduces completion time in target acquisition tasks. Our study contributes to the growing research area on situational impairments, and we compare our results to previous work on the effect of cold-induced situational impairments. Our results can be used to support smartphone users through adaptive interfaces which respond to the ongoing context of the user.
Reference:
Z. Sarsenbayeva, N. van Berkel, W. Jiang, D. Hettiachchi, V. Kostakos, J. Goncalves, "Effect of Ambient Light on Mobile Interaction", in Proceedings of the 17th IFIP TC.13 International Conference on Human-Computer Interaction (INTERACT'19), 2019, 465-475.
Bibtex Entry:
@inproceedings{Sarsenbayeva2019AmbientLightInteraction,
	Abstract = {The adverse effect of ambient noise on humans has been extensively studied in fields like cognitive science, indicating a significant impact on cognitive performance, behaviour, and emotional state. Surprisingly, the effect of ambient noise has not been studied in the context of mobile interaction. As smartphones are ubiquitous by design, smartphone users are exposed to a wide variety of ambient noises while interacting with their devices. In this paper, we present a structured analysis of the effect of six distinct ambient noise types on typical smartphone usage tasks. The evaluated ambient noise types include variants of music, urban noise and speech. We analyse task completion time and errors, and find that different ambient noises affect users differently. For example, while speech and urban noise slow down text entry, being exposed to music reduces completion time in target acquisition tasks. Our study contributes to the growing research area on situational impairments, and we compare our results to previous work on the effect of cold-induced situational impairments. Our results can be used to support smartphone users through adaptive interfaces which respond to the ongoing context of the user.},
	Author = {Sarsenbayeva, Zhanna and van Berkel, Niels and Jiang, Weiwei and Hettiachchi, Danula and Kostakos, Vassilis and Goncalves, Jorge},
	Booktitle = {Proceedings of the 17th IFIP TC.13 International Conference on Human-Computer Interaction},
	Doi = {10.1007/978-3-030-29387-1_26},
	Location = {INTERACT'19},
	Pages = {465-475},
	Title = {Effect of Ambient Light on Mobile Interaction},
	Type = {Conference Paper},
	Url = {https://nielsvanberkel.com/files/publications/interact2019b.pdf},
	Year = {2019}}
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