Catch: Injecting "Contextual And Timely Conversational Humor" Into Lifelike Avatars
Abstract
Humor is an integral part of human interaction. In the same way that humor aids human conversation in a variety of situations, humor can also enable avatars to communicate with humans in a human-like manner. We investigated the technical feasibility of incorporating humor into lifelike avatars by developing CATCH, a humor engine module that can inject contextually appropriate and well-timed humor into an avatar's neutral response. CATCH examines contextual cues to select the most relevant humor for the situation and it dynamically determines when humor is appropriate via a laughter feedback system. Our experimental results indicate that CATCH consistently picks contextually appropriate humor on a balanced humor frequency and that humor increases the perceived human-likeness of our avatar.
Publication Date
1-1-2016
Publication Title
Proceedings of the 29th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2016
Number of Pages
134-139
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
85003819773 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85003819773
STARS Citation
Wong, Josiah and Gonzalez, Avelino J., "Catch: Injecting "Contextual And Timely Conversational Humor" Into Lifelike Avatars" (2016). Scopus Export 2015-2019. 4242.
https://stars.library.ucf.edu/scopus2015/4242