Effect of Distinct Ambient Noise Types on Mobile Interaction (bibtex)
by Sarsenbayeva, Zhanna, van Berkel, Niels, Kostakos, Vassilis, Velloso, Eduardo 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, V. Kostakos, E. Velloso, J. Goncalves, "Effect of Distinct Ambient Noise Types on Mobile Interaction", in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), vol. 2, no. 2, 2018, 82:1-82:23.
Bibtex Entry:
@article{Sarsenbayeva2018NoiseInteraction,
	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 Kostakos, Vassilis and Velloso, Eduardo and Goncalves, Jorge},
	Doi = {10.1145/3214285},
	Journal = {Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)},
	Number = {2},
	Pages = {82:1-82:23},
	Title = {Effect of Distinct Ambient Noise Types on Mobile Interaction},
	Type = {Journal Article},
	Url = {https://nielsvanberkel.com/files/publications/imwut2018a.pdf},
	Volume = {2},
	Year = {2018}}
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