TY - JOUR
T1 - RainMind
T2 - Investigating Dynamic Natural Soundscape of Physiological Data to Promote Self-Reflection for Stress Management
AU - Yan, Ran
AU - Ren, Xipei
AU - Wang, Siming
AU - Bai, Xinhui
AU - Zhang, Xiaoyu
N1 - Publisher Copyright:
© 2024 The Author(s). Published with license by Taylor & Francis Group, LLC.
PY - 2024
Y1 - 2024
N2 - Metaphorical auditory displays are increasingly recognized for data presentation and self-reflection. This article presents the design and evaluation of RainMind, a web-based soundscape application that represents physiological data with dynamic natural sounds for daily stress reflection. Based on different combinations of auditory display with visualization, we identified three modes: the Visual-Aided Mode (VAM), the Audio-Aided Mode (AAM), and the Audio-Visual Mode (AVM). Through a within-subject study involving 30 participants, we conducted a mixed-methods evaluation to assess the task load, engagement, and user experience among the three modes. The findings indicated that the combination of dynamic natural soundscapes with visualization (AVM) contributes to a lower task load compared to the other two modes. Moreover, dynamic natural soundscapes as metaphors for stress data significantly enhanced engagement and user experience of self-reflection compared to static natural sounds. Based on our study, we discuss the potential of leveraging dynamic natural soundscapes as a new way of data-driven self-reflection.
AB - Metaphorical auditory displays are increasingly recognized for data presentation and self-reflection. This article presents the design and evaluation of RainMind, a web-based soundscape application that represents physiological data with dynamic natural sounds for daily stress reflection. Based on different combinations of auditory display with visualization, we identified three modes: the Visual-Aided Mode (VAM), the Audio-Aided Mode (AAM), and the Audio-Visual Mode (AVM). Through a within-subject study involving 30 participants, we conducted a mixed-methods evaluation to assess the task load, engagement, and user experience among the three modes. The findings indicated that the combination of dynamic natural soundscapes with visualization (AVM) contributes to a lower task load compared to the other two modes. Moreover, dynamic natural soundscapes as metaphors for stress data significantly enhanced engagement and user experience of self-reflection compared to static natural sounds. Based on our study, we discuss the potential of leveraging dynamic natural soundscapes as a new way of data-driven self-reflection.
KW - Reflection for stress management
KW - auditory display
KW - natural soundscape
KW - physiological data
UR - http://www.scopus.com/inward/record.url?scp=85197385827&partnerID=8YFLogxK
U2 - 10.1080/10447318.2024.2364468
DO - 10.1080/10447318.2024.2364468
M3 - Article
AN - SCOPUS:85197385827
SN - 1044-7318
JO - International Journal of Human-Computer Interaction
JF - International Journal of Human-Computer Interaction
ER -