Migratable AI: Effect of identity and information migration on users' perception of conversational AI agents
Name
Migratable_AI_ROMAN.pdf
Description
Accepted version
Size
1.38 MB
Format
Unknown
Checksum (MD5)
75f6f848d2fc859f2457bab305dd2a68
Author(s)
Tejwani, Ravi.
Moreno, Felipe(Felipe I.)
Jeong, Sooyeon
Park, Hae won
Breazeal, Cynthia Lynn
Date Issued
2020
Journal
29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020
Publisher
IEEE
Citation
Tejwani, R, Moreno, F, Jeong, S, Won Park, H and Breazeal, C. 2020. "Migratable AI: Effect of identity and information migration on users' perception of conversational AI agents." 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020.
Version
Author's final manuscript
Abstract
© 2020 IEEE. Conversational AI agents are proliferating, embodying a range of devices such as smart speakers, smart displays, robots, cars, and more. We can envision a future where a personal conversational agent could migrate across different form factors and environments to always accompany and assist its user to support a far more continuous, personalized and collaborative experience. This opens the question of what properties of a conversational AI agent migrates across forms, and how it would impact user perception. To explore this, we developed a Migratable AI system where a user's information and/or the agent's identity can be preserved as it migrates across form factors to help its user with a task. We validated the system by designing a 2x2 between-subjects study to explore the effects of information migration and identity migration on user perceptions of trust, competence, likeability and social presence. Our results suggest that identity migration had a positive effect on trust, competence and social presence, while information migration had a positive effect on trust, competence and likeability. Overall, users report highest trust, competence, likeability and social presence towards the conversational agent when both identity and information were migrated across embodiments.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/RO-MAN47096.2020.9223436
