Migratable AI: Effect of identity and information migration on users' perception of conversational AI agents
© 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 as...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021
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| Online Access: | https://hdl.handle.net/1721.1/137132 |
| _version_ | 1811072387767074816 |
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| author | Tejwani, R Moreno, F Jeong, S Won Park, H Breazeal, C |
| author_facet | Tejwani, R Moreno, F Jeong, S Won Park, H Breazeal, C |
| author_sort | Tejwani, R |
| collection | MIT |
| description | © 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. |
| first_indexed | 2024-09-23T09:05:17Z |
| format | Article |
| id | mit-1721.1/137132 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T09:05:17Z |
| publishDate | 2021 |
| publisher | IEEE |
| record_format | dspace |
| spelling | mit-1721.1/1371322021-11-03T03:37:50Z Migratable AI: Effect of identity and information migration on users' perception of conversational AI agents Tejwani, R Moreno, F Jeong, S Won Park, H Breazeal, C © 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. 2021-11-02T17:30:32Z 2021-11-02T17:30:32Z 2020 2021-06-24T16:20:11Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/137132 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. en 10.1109/RO-MAN47096.2020.9223436 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020 Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf IEEE MIT web domain |
| spellingShingle | Tejwani, R Moreno, F Jeong, S Won Park, H Breazeal, C Migratable AI: Effect of identity and information migration on users' perception of conversational AI agents |
| title | Migratable AI: Effect of identity and information migration on users' perception of conversational AI agents |
| title_full | Migratable AI: Effect of identity and information migration on users' perception of conversational AI agents |
| title_fullStr | Migratable AI: Effect of identity and information migration on users' perception of conversational AI agents |
| title_full_unstemmed | Migratable AI: Effect of identity and information migration on users' perception of conversational AI agents |
| title_short | Migratable AI: Effect of identity and information migration on users' perception of conversational AI agents |
| title_sort | migratable ai effect of identity and information migration on users perception of conversational ai agents |
| url | https://hdl.handle.net/1721.1/137132 |
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