COMMUNICATION
2024
- Chuan, C.-H., Seelig, M., Tsai, W.-H. S., and Tao, W., “Eco Warrior: A Theory-based Mobile App for Forming and Sustaining Pro-environmental Behavior Change,” Mobile Media & Communication, 2024.
- Chuan, C.-H., Sun, R., Tian, S., and W.-H. S. Tsai, “EXplainable Artificial Intelligence (XAI) for Facilitating Recognition of Algorithmic Bias: An Experiment from Imposed Users’ Perspectives,” Telematics and Informatics, 2024. DOI: 10.1016/j.tele.2024.102135
2023
- Chuan, C.-H., "A Critical Review of News Framing of Artificial Intelligence," Handbook of Critical Studies of AI, 2023.
- Chuan, C.-H., Tsai, W.-H. S., and Yang, J., “Artificial Intelligence, Advertising, and Society,” Advertising and Society Quarterly, 2023.
- Tsai, W.-H. S. and Chuan, C.-H., “Humanizing Chatbots for Interactive Marketing,” The Palgrave Handbook of Interactive Marketing, pp. 255-273, 2023.
- Peng, W., Chuan, C.-H., and Morgan, S., “Assessing the Role of Interactivity: An Evaluation of Informational Aids to Support the Enrollment of Precision Medicine Research,” Patient Education and Counseling (2023): 107648.
2022
- Chuan, C.-H., "A Critical Review of News Framing of Artificial Intelligence," Handbook of Critical Studies of AI (forthcoming).
- Tsai, W.-H. S. and Chuan, C.-H., "Humanizing Chatbots for Interactive Marketing," the Palgrave Handbook of Interactive Marketing, chapter 11, November 2022.
- Wen, J. T., Chuan, C.-H., Tsai, W.-H. S., and Yang, J., “Decoding Emotional (In)Congruency: Utilizing AI to Predict Emotional Flow in Ad Placement,” Journal of Interactive Marketing, June 2022.
- Chuan, C.-H., “Artificial Intelligence,” Communication Technology Update and Fundamentals, 18th edition, chapter 24, 2022.
2021
- Wen, J. T., Chuan, C.-H., Yang, J, and Tsai, W.-H. S., “Predicting Advertising Persuasiveness: A Decision Tree Method for Understanding Emotional (In)Congruence of Ad Placement on YouTube,” Journal of Current Issues and Research in Advertising special issue: Let me explain! Unexpected findings & unexpected methods in advertising research, pp. 1-19, 2021.
- Tsai, W.-H. S., Lun, D., Carcioppolo, N., and Chuan, C.-H., “Human versus Chatbot: Understanding the Role of Emotion in Human-Machine Communication,” Psychology & Marketing special issue: Beyond the Hype: Psychological Mechanisms Enabling the Acceptance, Adoption, and Engagement with Artificial Intelligence Technology in Marketing, 2021.
- Tsai, W.-H. S., Liu, Y., and Chuan, C.-H., “How Chatbots’ Social Presence Communication Enhances Consumer Engagement: The Mediating Role of Parasocial Interaction and Dialogue,” Journal of Research in Interactive Marketing, 2021.
2020
- Tsai, W.-H. S., Tian, S., Chuan, C.-H., and Li, C., “Inspection or Play? A Study of How Augmented Reality Technology Can be Utilized in Advertising,” Journal of Interactive Advertising, 2020.
- Tsai, W.-H. S., Tao, W., Chuan, C.-H., and Hong, C., “A Social Network Analysis of Public Advocacy on Twitter: Amplifiers and Bridgers in the Era of Polarization and Social Media Echo Chambers,” Public Relation Review, 2020.
- Chuan, C.-H., “Artificial Intelligence,” Communication Technology Update and Fundamentals, 17th edition, chapter 25, 2020.
2019
- Broussard, M., Diakopoulos, N., Guzman, A. L., Abebe, R., Dupagne, M., and Chuan, C.-H., “Artificial Intelligence and Journalism,” AEJMC: Journalism & Mass Communication Quarterly, vol. 96, no. 3, September 2019.
HUMAN-CENTERED COMPUTING AND MACHINE LEARNING
2023
- Chuan, C.-H. & Soriano, E., “Challenges and Findings in Creating Smart Assistants for Mixed Reality Training Apps,” the second International Conference on Hybrid Human-Artificial Intelligence, June 29, Munich, Germany, 2023.
2022
- Chuan, C.-H., Tsai, W.-H. S., Lun, D., and Carcioppolo, N., “Understanding Responses to Embarrassing Questions in Chatbot-Facilitated Medical Interview Conversations Using Deep Language Models,” the 3rd EAI International Conference on Computational Intelligence and Communications, Brisbane, Australia, December 16-18, 2022.
2020
- Chuan, C.-H. and Morgan, S., “Creating and Evaluating Chatbots as Eligibility Assistants for Clinical Trials: An Active Deep Learning Approach toward User-Centered Classification,” ACM Transactions on Computing for Healthcare, December 2020, doi:10.1145/3403575.
2019
- Chuan, C.-H., Tsai, W.-H., and Cho, S. Y., “Framing Artificial Intelligence in American Newspapers,” in proceedings of AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society(AIES), Honolulu, Hawaii, January 27-28, 2019.
2018
- Chuan, C.-H., “Classifying Eligibility Criteria in Clinical Trials Using Active Deep Learning,” in proceedings of the IEEE 17th International Conference on Machine Learning and Applications (ICMLA 2018), Orlando, Florida, December 17-20, 2018.
2017
- Herremans, D., and Chuan, C.-H., “A Multi-modal Platform for Semantic Music Analysis: Visualizing audio- and score-based tension,” in proceedings of the 11th IEEE International Conference on Semantic Computing (ICSC), January 30-Feburary 1, San Diego, California, 2017.
2016
- Chuan, C.-H., and Guardino, C., “Designing SmartSignPlay: An Interactive and Intelligent American Sign Language App for Children who are Deaf or Hard of Hearing and their Families,” in proceedings of the 21st ACM conference on Intelligent User Interfaces, March 7 – 10, Sonoma, California, 2016.
2015
- Wang, D.-Y., Jimison, Z., Richard, D., and Chuan, C.-H., “Effect of Listening to Music as A Function of Driving Complexity: A simulator study on the differing effects of music on different driving tasks,” in proceedings of the 8th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design, June 23 – 24, Salt Lake City, Utah, 2015.
2014
- Chuan, C.-H., Regina, E., and Guardino, C., “American Sign Language Recognition Using Leap Motion Sensor,” in proceedings of the 13th International Conference on Machine Learning and Applications, a special session on Machine Learning Applications in Education, December 3 – 5, Detroit, Michigan, 2014.
- Chuan, C.-H., Dinsmore, D., Schmuller, J., and Morris, T., “An Intelligent Tutoring System for Argument-Making in Higher Education: A Pilot Study,” in proceedings of the 13th International Conference on Machine Learning and Applications, a special session on Machine Learning Applications in Education, December 3 – 5, Detroit, Michigan, 2014.
Music information retrieval
2020
- Neural Computing and Application, special issue on Deep Learning for Music and Audio, Dorien Herremans and Ching-Hua Chuan (Eds), 32(4), Springer, 2020. [edited journal volume]
- Chuan, C.-H., Agres, K., and Herremans, D., “From Context to Concept: Exploring Semantic Relationships in Music with Word2Vec,” Neural Computing and Applications, special issue on Deep Learning for Music and Audio, Springer, 32(4), 2020, pp. 1023-1036, DOI: https://doi.org/10.1007/s0052.
2018
- Chuan, C.-H. & Herremans, D., “Modeling Temporal Tonal Relations in Polyphonic Music through Deep Networks with a Novel Image-Based Representation,” in proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), New Orleans, February 2-7, 2018.
2017
- Herremans, D., Chuan, C.-H., and Chew, E., “A Functional Taxonomy of Music Generation Systems,” ACM Computing Surveys, 50(5), no. 69, 2017.
- Herremans, D., and Chuan, C.-H., “Modeling Musical Context Using Word2Vec,” in proceedings of the first International Workshop on Deep Learning and Music, in conjunction with the 2017 International Joint Conference on Neural Networks (IJCNN), May 14-19, Anchorage, Alaska, 2017.
- Herremans, D., Yang, S., Chuan, C.-H., Barthet, M., and Chew, E., “IMMA-Emo: A Multimodal Interface for Visualising Score- and Audio-synchronised Emotion Annotations,” Audio Mostly: A Conference on Interaction with Sound, Queen Mary University of London, August 23-26, London, UK, 2017.
- Proceedings of the 1st International Workshop on Deep Learning and Music, Herremans, D. and Chuan, C.-H. (eds), in conjunction with the 2017 International Joint Conference on Neural Networks, 2017. [edited proceeding volume]
2016
- Chuan, C.-H., “An Active Learning Approach to Audio-to-Score Alignment Using Dynamic Time Warping,” in proceedings of the 15th International Conference on Machine Learning and Applications, December 18-20, Anaheim, California, 2016.
- Chuan, C.-H., and Chew, E., “An Optimization-based Approach to Key Segmentation,” in proceedings of IEEE International Symposium on Multimedia (ISM), December 11-13, San Jose, California, 2016.
2015
- Charapko, A., and Chuan, C.-H., “Indexing Musical Sequences in Large Datasets Using Relational Databases,” International Journal of Multimedia Engineering and Management, 6(2), pp. 1-18, 2015.
2014
- Smith, J., Chuan, C.-H., and Chew, E. “Audio Properties of Perceived Boundaries in Music,” IEEE Transactions on Multimedia, 16(5), pp. 1219-1228, 2014.
- Charapko, A., and Chuan, C.-H., “Indexing and Retrieving Continuations in Musical Time Series Data Using Relational Databases,” in proceedings of the IEEE International Symposium on Multimedia (ISM 2014), December 10-12, Taichung, Taiwan, 2014.
2013
- Chuan, C.-H., “Audio Classification and Retrieval Using Wavelets and Gaussian Mixture Models,” International Journal of Multimedia Data Engineering and Management, 4(1), pp. 1-20, 2013.
- Chuan, C.-H., and Charapko, A., “Predicting Key Recognition Difficulty in Polyphonic Audio,” in proceedings of the IEEE International Symposium on Multimedia (ISM 2013), December 9-11, Anaheim, California, 2013.
- Chuan, C.-H., “A Multimodal Approach to Song-Level Style Identification in Pop/Rock Using Similarity Metrics,” in proceedings of the IEEE 12th International Conference on Machine Learning and Applications, Special Session on Machine Learning with Multimedia Data, December 4 – 7, Miami, Florida, 2013.
- Chuan, C.-H., “A Temporal Multi-View Approach for Audio Key Finding Using AdaBoost,” in proceedings of the 2013 IEEE International Conference on Multimedia and Expo, July 15 – 18, San Jose, California, 2013.
2012
- Chuan, C.-H., Vasana, S, and Asaithambi, A., “Using Wavelets and Gaussian Mixture Models for Audio Classification,” in proceedings of the IEEE International Symposium on Multimedia (ISM 2012), December 10-12, Irvine, California, USA, 2012.
- Chuan, C.-H. and Chew, E., “Creating Ground Truth for Audio Key Finding: When The Title Key May Not Be The Key,” in proceedings of the 13th International Society for Music Information Retrieval Conference, October 8 – 12, Porto, Portugal, 2012.
2011
- Chuan, C.-H. and Chew, E., “Generating and Evaluating Musical Accompaniments that Emulate Style,” Douglas Keislar (ed), Computer Music Journal, 35 (4), pp. 64-82, MIT Press, 2011.
- Chuan, C. H., “A Comparison of Statistical and Rule-Based Models for Style-Specific Harmonization,” in proceedings of the 12th International Society for Music Information Retrieval Conference, October 24 – 28, Miami, USA. ISBN: 978-0-615-54865-4, 2011.
- Aspillaga, F. X., Cobb, J., and Chuan, C.-H., “MixMe: A recommendation system for DJs.” In proceedings of the 12th International Society of Music Information Retrieval Conference, Miami, FL.
- Chuan, C.-H., “Harmonic Style-Based Song Retrieval Using N-Gram,” in proceedings of the 1st ACM International Conference on Multimedia Retrieval, April 17 – 20, Trento, Italy. ISBN: 978- 1-4503-0336-1, 2011.
2010
- Chuan, C.-H. and Chew, E., “Quantifying the Benefits of Using an Interactive Decision Support Tool for Creating Musical Accompaniment in a Particular Style,” in proceedings of the 11th International Society for Music Information Retrieval Conference, August 9 – 13, Utrecht, Netherlands, 2010. ISBN 978-90-393-53813.
- Bertino, F., Chuan, C.-H., and Peroune. J., “The Musical Gene: Generating Harmonic Patterns from Sequenced DNA of E.coli Bacteria to Compose Music,” in proceedings of the 12th Biennial Symposium on Arts and Technology, March 4 – 6, Connecticut College, Connecticut, 2010.
2009
- Proceedings of the 2nd International Conference on Mathematics and Computation in Music: E. Chew, A. P. Childs, and C.-H. Chuan (eds), Springer: Berlin, Heidelberg, Communications in Computer and Information Science (CCIS) Volume 38, 2009, ISBN: 978-3-642-02393-4. [edited proceeding volume]
- Chuan, C.-H., “Pop/Rock Musical Style as Defined by Two-Chord Patterns at Segmentation Points in the Melody and Lyrics,” in proceedings of the IEEE International Symposium on Multimedia (ISM 2009), December 14 – 16, San Diego, 2009. ISBN 978-0-7695-3890-7.
before 2009
- Chuan, C.-H. and Chew, E., “Evaluating and Visualizing Effectiveness of Style Emulation in Music Accompaniment,” in proceedings of the 9th International Society for Music Information Retrieval Conference, Philadelphia, Sep 14-18, 2008. ISBN 978-0-615-24849-3.
- Chuan, C.-H. and Chew, E., “A Dynamic Programming Approach to the Extraction of Phrase Boundaries from Tempo Variations in Expressive Performances,” in proceedings of the 8th International Society for Music Information Retrieval Conference, Vienna, Austria, Sep 23-27, 2007. ISBN 978-3-85403-218-2.
- Chuan, C.-H. and Chew, E., “Audio Key Finding: Considerations in System Design, and Case Studies on 24 Chopin’s Preludes,” George Tzanetakis (ed)., EURASIP Journal on Applied Signal Processing, Special Issue on Music Information Retrieval. doi:10.1155/2007/56561, 2007.
- Chuan, C.-H. and Chew, E., “A Hybrid System for Automatic Generation of Style-Specific Accompaniment,” in proceedings of the 4th International Joint Workshop on Computational Creativity, (JIWCC'07), 17-19 June, 2007, London.
- Chuan, C.-H. and Chew, E., “The Effect of Key and Tempo on Audio Onset Detection Using Machine Learning Techniques: A Sensitivity Analysis,” in proceedings of the IEEE International Symposium on Multimedia (ISM 2006), San Diego, 2006. ISBN: 0-7695-2746-9.
- Chuan, C.-H. and Chew, E., “Fuzzy Analysis in Pitch Class Determination for Polyphonic Audio Key Finding,” in proceedings of the 6th International Society for Music Information Retrieval Conference, London, UK, September 2005. ISBN: 0-9551179-0-9.
- Chuan, C.-H. and Chew, E., “Polyphonic Audio Key Finding Using the Spiral Array CEG Algorithm,” in proceedings of 2005 IEEE International Conference on Multimedia & Expo, ICME, Amsterdam, the Netherlands, July 2005. ISBN: 0-7803-9331-7.