標題: Measuring the Influences of Musical Parameters on Cognitive and Behavioral Responses to Audio Notifications Using EEG and Large-scale Online Studies
作者: Cherng, Fu-Yin
Lee, Yi-Chen
King, Jung-Tai
Lin, Wen-Chieh
資訊工程學系
腦科學研究中心
Department of Computer Science
Brain Research Center
關鍵字: Audio notifications;brain-computer interface;neuroergonomics
公開日期: 1-一月-2019
摘要: Prior studies have evaluated various designs for audio notifications. However, calls for more in-depth research on how such notifications work, especially at the level of users' cognitive states, have gone unanswered; and studies evaluating audio notifications with large numbers of participants in multiple environments have been rare. This study conducted an electroencephalography study (N=20) and an online study (N=967) to enhance understandings of how three musical parameters - melody (simple, complex), pitch (high, low), and tempo (fast, slow) - influenced users' cognition and behaviors. There are eight different notifications with different combinations of these parameters. The online study analyzed the effects of user-specific and environmental information on users' behaviors while they listened to these notifications. The results revealed that tempo and pitch have the main effect on the speed and strength (accuracy) of users' cognition and behaviors. The users' characteristics and environments influenced the effects of these musical parameters.
URI: http://dx.doi.org/10.1145/3290605.3300639
http://hdl.handle.net/11536/152115
ISBN: 978-1-4503-5970-2
DOI: 10.1145/3290605.3300639
期刊: CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS
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顯示於類別:會議論文