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Developing a Personality Model for Speech-based Conversational Agents Using the Psycholexical Approach

Title data

Völkel, Sarah Theres ; Schoedel, Ramona ; Buschek, Daniel ; Stachl, Clemens ; Winterhalter, Verena ; Bühner, Markus ; Hussmann, Heinrich:
Developing a Personality Model for Speech-based Conversational Agents Using the Psycholexical Approach.
2020
Event: CHI Conference on Human Factors in Computing Systems , 25.04.2020 - 30.04.2020 , Honolulu, Hawaii, USA.
(Conference item: Conference , Paper )

Project information

Project title:
Project's official titleProject's id
AI Tools - Continuous Interaction with Computational Intelligence ToolsNo information

Project financing: Bayerisches Staatsministerium für Wissenschaft, Forschung und Kunst

Abstract in another language

We present the first systematic analysis of personality dimensions developed specifically to describe the personality of speech-based conversational agents. Following the psycholexical approach from psychology, we first report on a new multi-method approach to collect potentially descriptive adjectives from 1) a free description task in an online survey (228 unique descriptors), 2) an interaction task in the lab (176 unique descriptors), and 3) a text analysis of 30,000 online reviews of conversational agents (Alexa, Google Assistant, Cortana) (383 unique descriptors). We aggregate the results into a set of 349 adjectives, which are then rated by 744 people in an online survey. A factor analysis reveals that the commonly used Big Five model for human personality does not adequately describe agent personality. As an initial step to developing a personality model, we propose alternative dimensions and discuss implications for the design of agent personalities, personality-aware personalisation, and future research.

Further data

Item Type: Conference item (Paper)
Refereed: Yes
Keywords: Big 5; conversational agents; personality
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 12 Feb 2020 07:27
Last Modified: 12 Feb 2020 07:27
URI: https://eref.uni-bayreuth.de/id/eprint/54331