Expressing emotion in text-based communication Export

@inproceedings{citeulike:2304772, abstract = {Our ability to express and accurately assess emotional states is central to human life. The present study examines how people express and detect emotions during text-based communication, an environment that eliminates the nonverbal cues typically associated with emotion. The results from 40 dyadic interactions suggest that users relied on four strategies to express happiness versus sadness, including disagreement, negative affect terms, punctuation, and verbosity. Contrary to conventional wisdom, communication partners readily distinguished between positive and negative valence emotional communicators in this text-based context. The results are discussed with respect to the Social Information Processing model of strategic relational adaptation in mediated communication.}, address = {New York, NY, USA}, author = {Hancock, Jeffrey T. and Landrigan, Christopher and Silver, Courtney}, booktitle = {CHI '07: Proceedings of the SIGCHI conference on Human factors in computing systems}, citeulike-article-id = {2304772}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1240764}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1240624.1240764}, doi = {10.1145/1240624.1240764}, isbn = {9781595935939}, keywords = {communication, contentanalysis, internet}, pages = {929--932}, posted-at = {2008-11-13 01:31:26}, priority = {2}, publisher = {ACM}, title = {Expressing emotion in text-based communication}, url = {http://dx.doi.org/10.1145/1240624.1240764}, year = {2007} }

TY - CONF ID - citeulike:2304772 L3 - citeulike-article-id:2304772 N2 - Our ability to express and accurately assess emotional states is central to human life. The present study examines how people express and detect emotions during text-based communication, an environment that eliminates the nonverbal cues typically associated with emotion. The results from 40 dyadic interactions suggest that users relied on four strategies to express happiness versus sadness, including disagreement, negative affect terms, punctuation, and verbosity. Contrary to conventional wisdom, communication partners readily distinguished between positive and negative valence emotional communicators in this text-based context. The results are discussed with respect to the Social Information Processing model of strategic relational adaptation in mediated communication. SN - 9781595935939 AD - New York, NY, USA EP - 932 TI - Expressing emotion in text-based communication PB - ACM T2 - CHI '07: Proceedings of the SIGCHI conference on Human factors in computing systems SP - 929 KW - communication KW - contentanalysis KW - internet AU - Hancock, Jeffrey AU - Landrigan, Christopher AU - Silver, Courtney PY - 2007/// UR - http://dx.doi.org/10.1145/1240624.1240764 ER -