[C01] Jingxian Liao, Fu-Yin Cherng, Mrinalini Singh, Hao-Chuan Wang. 2025. Signals Beyond Text: Understanding How Accessing Peer Concept Mapping and Commenting Augments Reflective Mind for High-Stake Videos. Proceedings of ACM Conference on Human Factors in Computing Systems, CHI'25 (acceptance rate: 24.9%)
[C02] Yu-Jung Chung, Chen-Wei Hsu, Meng-Hsun Chan, and Fu-Yin Cherng*. Enhancing ESL Learners’ Experience and Performance through Gradual Adjustment of Video Speed during Extensive Viewing. Proceedings of ACM Conference on Human Factors in Computing Systems, CHI'24 (acceptance rate: 26.4%)
[C03] Fu-Yin Cherng*, Jingchao Fang, Jiang, Yinhao Jiang, Xin Chen, Taejun Choi, Hao-Chuan Wang. Understanding Social Influence in Collective Product Ratings Using Behavioral and Cognitive Metrics. Proceedings of ACM Conference on Human Factors in Computing Systems, CHI'22 (acceptance rate: 25%)
[C04] Fu-Yin Cherng*, Yi-Chen Lee, Jung-Tai King, Wen-Chieh Lin. Measuring the Influences of Musical Parameters on Cognitive and Behavioral Responses to Audio Notifications Using EEG and Large-scale Online Studies. Proceedings of ACM Conference on Human Factors in Computing Systems, CHI'19 (acceptance rate: 23.8%)
[C05] Yi-Chen Lee, Fu-Yin Cherng*, Jung-Tai King, Wen-Chieh Lin. To Repeat or Not to Repeat?: Redesigning Repeating Auditory Alarms Based on EEG Analysis. Proceedings of ACM Conference on Human Factors in Computing Systems, CHI'19 (acceptance rate: 23.8%)
[C06] 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 ACM Conference on Human Factors in Computing Systems, CHI'16 (acceptance rate: 23%; Best Paper Honorable Mention Award, 4 % of over 2,000 submitted papers)
[C07] 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 ACM Conference on Human Factors in Computing Systems, CHI'15 (acceptance rate: 25%)
[C08] 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 ACM Conference on Human Factors in Computing Systems, CHI'14 (acceptance rate: 26.7%; Best Paper Honorable Mention Award, 5 % of over 2,000 submitted papers)
International Refereed Conference
[C01] Yun-Rou Lin, Fu-Yin Cherng, Yi-Chieh Lee, Zhu-Ying Tian, Wen-Chieh Lin. Navigating Color Constraints in Multi-View Visualizations with MVcolor. IEEE PacificVis 2025 (Conference Papers Track)
[C02] Ping (Hank) Lee, Wei-Lun Kao, Hung-Jui Wang, Ruei-Che Chang, Yi-Hao Peng, Fu-Yin Cherng, Shang-Tse Chen. AdvCAPTCHA: Creating Usable and Secure Audio CAPTCHA with Adversarial Machine Learning. Symposium on Usable Security and Privacy (USEC) 2024
[C03] Xun-Yi Huang, Fu-Yin Cherng*, Jung-Tai King, Wen-Chieh Lin. EEG-based Measures of Auditory Saliency in a Complex Context. Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI'19, ACM
Top-Tier Conference Poster Paper
[P01] Yu-Jung Chung, Bei-Hong Lin, Hao-Yuan Cheng, Yu-Ting Yen, Ching-Chuan Li, Fu-Yin Cherng*. Understanding the Effects of Short-Form Videos on Sustained Attention. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, CHI'24, ACM.
[P02] Ching-Ying Sung, Fu-Yin Cherng*, Yi-Lun Chiu, Peng-Hsi Chen, Bing-Yu Chen. 3CPEs: Concrete Computational Concepts Programming Environments for Elementary Computer Science Education. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, CHI'24, ACM.
[P03] Meng-Yun Liao, Ching-Ying Sung, Hao-Chuan Wang, Wen-Chieh Lin, Fu-Yin Cherng. Embodying Historical Learners' Messages as Learning Companions in a VR Classroom. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, CHI'19. ACM.
[P04] Ching-Ying Sung, Xun-Yi Huang, Yicong Shen, Fu-Yin Cherng, Wen-Chieh Lin, and Hao-Chuan Wang. Topin: A visual analysis tool for time-anchored comments in online educational videos. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, CHI'16. ACM.