|Title / Titel||Incorporating laughter into human-avatar interactions: Research and evaluation (ILHAIRE)|
|Abstract (PDF, 14 KB)|
|Summary / Zusammenfassung||Laughter is a significant feature of human communication, and machines acting in roles like companions or tutors should not be blind to it. So far very limited progress has been made towards allowing computer-based applications to deal with laughter. ILHAIRE will lay the foundations of truly multimodal, multicultural laughter-enabled man-machine interaction, by associating experts of the different disciplines linked to this objective. This research initiative incorporates eight teams from six European countries among them two groups representing psychology. UZH research team will contribute to following tasks:
Task 1.Identify material that induces various types of hilarious laughter [QUB + UMONS +UZH]
Task 2. Assemble existing resources containing audiovisual records of (mainly conversational) laughter [QUB + UZH]
Task 3. Create and annotate initial database representing everyday occurrence of types of (mainly conversational) laughter and related user behaviour [QUB + CNRS + UZH +UMONS]
Task 4. Laughter facial action units [CNRS + UZH]: Similarly to the phonetic analysis of laughter, this task will consist in two steps. First, laugh clips will be manually annotated in FACS by at least one certified FACS-coder. For the different types of laughs, FACS codes will be generated in terms of what AUs are involved, their symmetry, intensity, time course and duration.
Task 5. Psychologically appropriate indicators of responses to laughter stimuli [QUB + UCL + UZH]
Furthermore, the UZH research team will be primarily responsible for the following tasks:
Task 6. Indicators of friendliness and hostility in different avatar laughter [UZH]:
Different avatar laughter samples will be rated by a sample of gelotophobic and non-gelotophobic individuals for the degree of friendliness (is this “laughing with”?), hostility (is this “laughing at”?) and contagiousness.
Task 7. Gelotophobia and the perception of avatar laughter [UZH]
The psychological research questions will by adressed utilizing experiments that also involve quasi-experimental (personality factors) and tools assessing subjective and facial (FACS; Facial Action Coding System) components of emotion. This research is conducted by members of ZIEL (Zurich Interaction and Expression Laboratory) and involves a position as a doctorate.
|Publications / Publikationen||Ruch, W. (2012). Towards a New Structural Model of the Sense of Humor: Preliminary Findings. AAI Symposium on Artificial Intelligence of Humor Proceedings, Washington, USA, 2-4 of November.Ruch, W., & Hofmann, J. (2012). A temperament approach to humor. In P. Gremigni (Ed.) Humor and Health Promotion (pp. 79-113). Hauppauge, NY USA: Nova Science Publishers.Ruch, W., Hofmann, J., & Platt, T. (2013, accepted). Testing Darwin: Investigation of facial features of historical illustrations of four different types of laughter. European Journal of Humor Research.Hofmann, J., Ruch, W., & Platt, T. (2012). The en- and decoding of schadenfreude laughter. Sheer joy expressed by a Duchenne laugh or emotional blend with a distinct morphological expression? Interdisciplinary Workshop on Laughter and other Non-Verbal Vocalisations in Speech Proceedings, Dublin, Ireland, 26-27 of October, 8-10.McKeown, G., Cowie, R., Curran, W., Ruch, W., & Douglas-Cowie, E. (2012) ILHAIRE Laughter Database. 4th International Workshop on Emotion Sentiment & Social Signals (ES³ 2012) - Corpora for Research on Emotion, Sentiment & Social Signals, held in conjunction with LREC 2012, ELRA, Istanbul, Turkey, pp. 32–35.Niewiadomski, R., Hofmann, J., Urbain, J., Platt, T., Wagner, J., Piot, B., Cakmak, H., Pammi, S., Baur, T., Dupont, S., Geist, M., Lingenfelser, F., McKeown, G., Pietquin, O., & Ruch, W. (in press). Laugh-aware virtual agent and its impact on user amusement. In T. Ito, C. Jonker, M. Gini, and O. Shehory (Eds.), Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2013). May, 6–10, 2013, Saint Paul, Minnesota, USA.Niewiadomski, R., Pammi, S., Sharma, A., Hofmann, J., Platt, T., Cruz, R.T., Qu, B. (2012). Visual laughter synthesis: Initial approaches. Interdisciplinary Workshop on Laughter and other Non-Verbal Vocalisations in Speech Proceedings, Dublin, Ireland, 26-27 of October, 10-12.Platt, T., Hofmann, J., Ruch, W., Niewiadomski, R., & Urbain, J. (2012). Experimental standards in research on AI and humor when considering psychology. Fall Symposium on Artificial Intelligence of Humor Proceedings, Washington, USA, 2-4 of November, 54-61.|
|Keywords / Suchbegriffe||laughter, avatars, fear of being laughed at|
|Project leadership and contacts /
Projektleitung und Kontakte
|Other links to external web pages||http://www.ilhaire.eu
|Funding source(s) /
Small or medium-scale focused research project (STREP)
|In collaboration with /
In Zusammenarbeit mit
|Duration of Project / Projektdauer||Sep 2011 to Aug 2014|