Published 2017
| Version v1
Publication
Implementing and evaluating a laughing virtual character
Description
Laughter is a social signal capable of facilitating interaction in groups of people: it communicates interest, helps to improve creativity, and facilitates sociability. This article focuses on: endowing virtual characters with computational models of laughter synthesis, based on an expressivity-copying paradigm; evaluating how the physically co-presence of the laughing character impacts on the user's perception of an audio stimulus and mood. We adopt music as a means to stimulate laughter. Results show that the character presence influences the user's perception of music and mood. Expressivity-copying has an influence on the user's perception of music, but does not have any significant impact on mood.
Additional details
Identifiers
- URL
- http://hdl.handle.net/11567/886209
- URN
- urn:oai:iris.unige.it:11567/886209
Origin repository
- Origin repository
- UNIGE