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 human-computer 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 user’s answers, attempts to guess the emotion that the user has in mind.

Date

2011

Authors

Abe Kazemzadeh, James Gibson, Panayiotis G Georgiou, Sungbok Lee, Shrikanth S Narayanan

Conference

Affective Computing and Intelligent Interaction: Fourth International Conference, ACII 2011, Memphis, TN, USA, October 9–12, 2011, Proceedings, Part II

Pages

313-314

Publisher

Springer Berlin Heidelberg