Name
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 user's answers, attempts to guess the emotion that the user has in mind. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-24571-8_38 | ACII (2) |
Keywords | Field | DocType |
computer questioner agent,questioner agent,emo20q questioner agent,user question,human-human game,emotion twenty question,computer agent,natural language,humancomputer interaction,twenty questions game,abstract emotion concept,emotions | Communication,Computer science,Software agent,Natural language | Conference |
Volume | ISSN | Citations |
6975 | 0302-9743 | 2 |
PageRank | References | Authors |
0.45 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abe Kazemzadeh | 1 | 957 | 52.95 |
| James Gibson | 2 | 2 | 0.45 |
| Panayiotis Georgiou | 3 | 36 | 4.35 |
| Sungbok Lee | 4 | 1394 | 84.13 |
| Narayanan Shrikanth | 5 | 5558 | 439.23 |