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dc.contributor.authorCherng, Fu-Yinen_US
dc.contributor.authorLee, Yi-Chenen_US
dc.contributor.authorKing, Jung-Taien_US
dc.contributor.authorLin, Wen-Chiehen_US
dc.date.accessioned2019-08-02T02:14:46Z-
dc.date.available2019-08-02T02:14:46Z-
dc.date.issued2019-01-01en_US
dc.identifier.isbn978-1-4503-5970-2en_US
dc.identifier.urihttp://dx.doi.org/10.1145/3290605.3300639en_US
dc.identifier.urihttp://hdl.handle.net/11536/152115-
dc.description.abstractPrior 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.en_US
dc.language.isoen_USen_US
dc.subjectAudio notificationsen_US
dc.subjectbrain-computer interfaceen_US
dc.subjectneuroergonomicsen_US
dc.titleMeasuring the Influences of Musical Parameters on Cognitive and Behavioral Responses to Audio Notifications Using EEG and Large-scale Online Studiesen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1145/3290605.3300639en_US
dc.identifier.journalCHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMSen_US
dc.citation.spage0en_US
dc.citation.epage0en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.department腦科學研究中心zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.contributor.departmentBrain Research Centeren_US
dc.identifier.wosnumberWOS:000474467905023en_US
dc.citation.woscount0en_US
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