@inproceedings{voelkel2020b,
author = {V\"{o}lkel, Sarah Theres and Sch\"{o}del, Ramona and Buschek, Daniel and Stachl, Clemens and Winterhalter, Verena and B\"{u}hner, Markus and Hussmann, Heinrich},
title = {Developing a Personality Model for Speech-Based Conversational Agents Using the Psycholexical Approach},
year = {2020},
isbn = {9781450367080},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3313831.3376210},
doi = {10.1145/3313831.3376210},
abstract = {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.},
booktitle = {Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems},
pages = {1–14},
numpages = {14},
keywords = {big 5, conversational agents, personality},
location = {Honolulu, HI, USA},
series = {CHI '20}
}