@inproceedings{6b39e2cf1b7340b387adce2783f61e9a,
title = "Design of an emotion elicitation tool using VR for human-avatar interaction studies",
abstract = "With the development of socially interacting machines, it is important to understand how people react depending on their emotional state. Research in this area require emotion elicitation devices. This paper presents such a tool using virtual reality (VR), that merges classical elicitation techniques to emphasize emotional response. The design choices are depicted for four emotions, and a performance analysis using questionnaires is achieved.",
author = "Orefice, \{P. H.\} and M. Ammi and M. Hafez and A. Tapus",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 17th International Conference on Intelligent Virtual Agents, IVA 2017 ; Conference date: 27-08-2017 Through 30-08-2017",
year = "2017",
month = jan,
day = "1",
doi = "10.1007/978-3-319-67401-8\_42",
language = "English",
isbn = "9783319674001",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "335--338",
editor = "Carol O'Sullivan and Ginevra Castellano and Stefan Kopp and Jonas Beskow and Christopher Peters and Iolanda Leite",
booktitle = "Intelligent Virtual Agents - 17th International Conference, IVA 2017, Proceedings",
}