@inproceedings{Kazemzadeh2011EMO20QQuestionerAgent,
 abstract = {In this demonstration, we present an implementation of an
emotion twenty questions (EMO20Q) questioner agent. The ubiquitous
twenty questions game is a suitable format to study how people describe
emotions and designing a computer agent to learn and reason about abstract
emotion concepts can provide further theoretical insights. While
natural language poses many challenges for the computer in humancomputer
interaction, the accessibility of natural language has made
it possible to acquire data of many players reasoning about emotions
in human-human games. These data are used to automate a computer
questioner agent that asks the user questions and, based on that users
answers, attempts to guess the emotion that the user has in mind.},
 author = {Kazemzadeh, Abe and Gibson, James and Georgiou, Panayiotis and Lee, Sungbok and Narayanan, Shrikanth S.},
 bib2html_rescat = {emotion},
 booktitle = {Proceedings of Affective Computing and Intelligent Interaction (ACII)},
 doi = {https://doi.org/10.1007/978-3-642-24571-8_38},
 link = {http://sail.usc.edu/publications/files/69750313.pdf},
 location = {Memphis, TN},
 month = {Oct},
 pages = {313-314},
 publisher = {Springer},
 series = {Lecture Notes in Computer Science},
 title = {EMO20Q Questioner Agent},
 year = {2011}
}

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