Abstract
We investigate the use of colour and brightness for feedback from sound zone systems. User interaction with sound zones suffer from them being invisible. Hence, spatial properties such as volume, size, and overlaps need to be represented through, e.g., light. Two studies were conducted. In the first study (N \(=\) 27), participants experienced different colour and brightness values shown on an LED strip attached to a volume controller and related those to sound zone volume, size, and overlaps. In the second study (N \(=\) 36), participants created an overlap between two sound zones by turning up the volume, triggering 12 animated light patterns. Our findings show that brightness reflects well the size of a sound zone, and that instant patterns are better indicators of overlaps compared to gradual patterns. These contributions are useful for designing sound zone visualisations.
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Appendix 1
Appendix 1
Appendix 2
This figure shows the performance of each individual pattern in comparison to the other patterns according to each of the six statements investigated. Dark blue: The pattern in the column performed significantly better than the pattern in the row (p < 0.05). Yellow: The pattern in the row performed significantly better than the pattern in the column (p < 0.05). Green: No statistically significant difference found. (Color figure online)
Appendix 3
Appendix 4
The following supplementary materials can be located here:
https://www.dropbox.com/sh/poc15eypbnvl0af/AAAhO5jnWsMJLIEw0kt6DIX8a?dl=0
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Data from Likert-item responses in Study 2
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Video figure that shows the experimental setup and the light patterns used in Study 2
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Questionnaires used in Study 1, including (1) for brightness settings and (2) for colour settings
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Likert-item questionnaire used in Study 2
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Information sheets handed out to participants in both studies
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Johansen, S.S., Nielsen, P.A., Stec, K., Kjeldskov, J. (2023). Using Colour and Brightness for Sound Zone Feedback. In: Abdelnour Nocera, J., Kristín Lárusdóttir, M., Petrie, H., Piccinno, A., Winckler, M. (eds) Human-Computer Interaction – INTERACT 2023. INTERACT 2023. Lecture Notes in Computer Science, vol 14142. Springer, Cham. https://doi.org/10.1007/978-3-031-42280-5_15
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