Welcome! I'm Fu-Yin Cherng.

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I am currently pursuing the Ph.D. degree in the department of computer science of National Chiao Tung University (NCTU), Hsinchu, Taiwan. I am supervised by professor Wen-Chieh (Steve) Lin, who leads Graphic and Perception lab in NCTU (GP Lab). I received BS degree in computer science from NCTU in 2013, and became a doctoral research assistant in the school of computer and communication sciences at EPFL from 2016 to 2017. My research topics include human-computer interaction (HCI), neuroergonomics and learning analytics.

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Selected Publications

  • Fu-Yin Cherng , Wen-Chieh Lin, Jung-Tai King, Yi-Chen Lee. ”Measuring the Influences of Musical Parameters on Cognitive and Behavioral Responses to Audio Notifications Using EEG and Large-scale Online Studies” Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2019. [paper] [slides]
  • Fu-Yin Cherng , Wen-Chieh Lin, Jung-Tai King, Yi-Chen Lee. ”Understanding the Influence of Musical Parameters on Cognitive Responses of Audio Notifications” Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, 2018. [paper] [poster]
  • Fu-Yin Cherng , Wen-Chieh Lin, Jung-Tai King, Yi-Chen Lee. ”An EEG-based Approach for Evaluating Graphic Icons from the Perspective of Semantic Distance” Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2016. (Honorable Mention Award, 4% of all submited paper.) [paper][slides]
  • Yi-Chieh Lee, Wen-Chieh Lin, Fu-Yin Cherng, Hao-Chuan Wang, Ching-Ying Sung, Jung-Tai King. ”Using Time-Anchored Peer Commenting to Enhance Social Interaction in Online Educational Videos” Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2015. [paper] [slides]
  • Yi-Chieh Lee, Wen-Chieh Lin, Jung-Tai King, Li-Wei Ko, Yu-Ting Huang, Fu-Yin Cherng. ”An EEG-based Approach for Evaluating Audio Notifications under Ambient Sounds” Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2014. (Honorable Mention Award. 5% of all submitted papers) [paper]