TY - GEN
T1 - User study of AffectIM, an emotionally intelligent instant messaging system
AU - Neviarouskaya, Alena
AU - Prendinger, Helmut
AU - Ishizuka, Mitsuru
PY - 2008
Y1 - 2008
N2 - Our research addresses the tasks of recognition, interpretation and visualization of affect communicated through text messaging. In order to facilitate sensitive and expressive interaction in computer-mediated communication, we previously introduced a novel syntactical rule-based approach to affect recognition from text. The evaluation of the developed Affect Analysis Model showed promising results regarding its capability to accurately recognize affective information in text from an existing corpus of informal online conversations. To enrich the user's experience in online communication, make it enjoyable, exciting and fun, we implemented a web-based IM application, AffectIM, and endowed it with emotional intelligence by integrating the developed Affect Analysis Model. This paper describes the findings of a twenty-person study conducted with our AffectIM system. The results of the study indicated that automatic emotion recognition function can bring a high level of affective intelligence to the IM application.
AB - Our research addresses the tasks of recognition, interpretation and visualization of affect communicated through text messaging. In order to facilitate sensitive and expressive interaction in computer-mediated communication, we previously introduced a novel syntactical rule-based approach to affect recognition from text. The evaluation of the developed Affect Analysis Model showed promising results regarding its capability to accurately recognize affective information in text from an existing corpus of informal online conversations. To enrich the user's experience in online communication, make it enjoyable, exciting and fun, we implemented a web-based IM application, AffectIM, and endowed it with emotional intelligence by integrating the developed Affect Analysis Model. This paper describes the findings of a twenty-person study conducted with our AffectIM system. The results of the study indicated that automatic emotion recognition function can bring a high level of affective intelligence to the IM application.
KW - Affective sensing from text
KW - Affective user interface
KW - Avatar
KW - Emotions
KW - Online communication
KW - User study
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U2 - 10.1007/978-3-540-85483-8_3
DO - 10.1007/978-3-540-85483-8_3
M3 - Conference contribution
AN - SCOPUS:52149105845
SN - 3540854827
SN - 9783540854821
VL - 5208 LNAI
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 29
EP - 36
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 8th International Conference on Intelligent Virtual Agents, IVA 2008
Y2 - 1 September 2008 through 3 September 2008
ER -