TY - GEN
T1 - Interaction with the soundscape
T2 - 1st International Conference on Artificial Intelligence in HCI, AI-HCI 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
AU - Baird, Alice
AU - Song, Meishu
AU - Schuller, Björn
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - Our daily interaction with the soundscape is in flux, and complex natural sound combinations have shown to have adverse implications on user experience. A computational approach to stabilise the sonic environment, tailored to a user’s current affective state may prove beneficial in a variety of scenarios, including workplace efficiency, and exercise. Herein, we present initial perception test results, from a rudimentary approach for soundscape augmentation utilising chromatic feature sonification. Results show that arousal and valance dimensions of emotion can be altered through augmentation of three classes of natural soundscape, namely ‘mechanical’, ‘nature’, and ‘human’. Proceeding this we outline a possible approach for an affective audio-based recognition and generation system, in which users (either individually or as a group within a specific environment) are provided with an augmentation of their current soundscape, as a means of improving wellbeing.
AB - Our daily interaction with the soundscape is in flux, and complex natural sound combinations have shown to have adverse implications on user experience. A computational approach to stabilise the sonic environment, tailored to a user’s current affective state may prove beneficial in a variety of scenarios, including workplace efficiency, and exercise. Herein, we present initial perception test results, from a rudimentary approach for soundscape augmentation utilising chromatic feature sonification. Results show that arousal and valance dimensions of emotion can be altered through augmentation of three classes of natural soundscape, namely ‘mechanical’, ‘nature’, and ‘human’. Proceeding this we outline a possible approach for an affective audio-based recognition and generation system, in which users (either individually or as a group within a specific environment) are provided with an augmentation of their current soundscape, as a means of improving wellbeing.
KW - Audio generation
KW - Human Computer Interaction
KW - Machine learning
KW - Wellbeing
UR - http://www.scopus.com/inward/record.url?scp=85088744053&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-50334-5_15
DO - 10.1007/978-3-030-50334-5_15
M3 - Conference contribution
AN - SCOPUS:85088744053
SN - 9783030503338
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 229
EP - 242
BT - Artificial Intelligence in HCI - 1st International Conference, AI-HCI 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings
A2 - Degen, Helmut
A2 - Reinerman-Jones, Lauren
PB - Springer
Y2 - 19 July 2020 through 24 July 2020
ER -