Modeling an Empathetic Embodied Conversational Agent
Resumo
Este trabalho tem como objetivo propor um agente conversacional empatico dotado de uma memoria similar à humana e capaz de mostrar certa extensao de empatia. Além disso, este modelo dota o agente virtual com algumas outras habilidades, como reconhecer a pessoa com quem esta conversando pela face e armazenar/recuperar informações com base em um modelo de memoria humana. Alguns experimentos foram realizados para coletar informações quantitativas e qualitativas, as quais mostram que o modelo proposto funciona como pretendido.
Palavras-chave:
Agente Conversasional, Memória Humana, Recuperação da Informação
Referências
Ayedoun, E., Hayashi, Y., and Seta, K. (2019). Adding communicative and affective strategies to an embodied conversational agent to enhance second language learners’ willingness to communicate. International Journal of Artificial Intelligence in Education, 29(1):29–57.
Biancardi, B., Wang, C., Mancini, M., Cafaro, A., Chanel, G., and Pelachaud, C. (2019). A computational model for managing impressions of an embodied conversational agent in real-time. In 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII), pages 1–7. IEEE.
Bluck, S. and Levine, L. J. (1998). Reminiscence as autobiographical memory: A catalyst for reminiscence theory development. Ageing & Society, 18(2):185–208.
Chetty, G. and White, M. (2019). Embodied conversational agents and interactive virtual humans for training simulators. In Proc. The 15th International Conference on Auditory-Visual Speech Processing, pages 73–77.
Conway, M. A. and Pleydell-Pearce, C. W. (2000). The construction of autobiographical memories in the self-memory system. Psychological review, 107(2):261.
Croes, E. A. and Antheunis, M. L. (2021). Can we be friends with mitsuku? a longitudinal study on the process of relationship formation between humans and a social chatbot.
Journal of Social and Personal Relationships, 38(1):279–300.
Das, K. S. J., Beinema, T., Op Den Akker, H., and Hermens, H. (2019). Generation of multi-party dialogues among embodied conversational agents to promote active living and healthy diet for subjects suffering from type 2 diabetes. In 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2019, pages 297–304. SCITEPRESS.
Kramer, L., ter Stal, S., Mulder, B., de Vet, E., and van Velsen, L. (2019). Developing embodied conversational agents for healthy lifestyles: a scoping review. In ARPH.
Martínez-Miranda, J., Martínez, A., Ramos, R., Aguilar, H., Jiménez, L., Arias, H., Rosales, G., and Valencia, E. (2019). Assessment of users’ acceptability of a mobile-based embodied conversational agent for the prevention and detection of suicidal behaviour. Journal of medical systems, 43(8):246.
Mehrabian, A. and Epstein, N. (1972). A measure of emotional empathy. Journal of personality.
Melgare, J. K., Musse, S. R., Schneider, N. R., and Queiroz, R. B. (2019). Investigating emotion style in human faces and avatars. In 2019 18th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames), pages 115–124. IEEE.
Philip, P., Dupuy, L., Auriacombe, M., Serre, F., de Sevin, E., Sauteraud, A., and Micoulaud-Franchi, J.-A. (2020). Trust and acceptance of a virtual psychiatric interview between embodied conversational agents and outpatients. npj Digital Medicine, 3(1):1–7.
Sajjadi, P., Hoffmann, L., Cimiano, P., and Kopp, S. (2019). A personality-based emotional model for embodied conversational agents: Effects on perceived social presence and game experience of users. Entertainment Computing, 32:100313.
Spitale, M., Catania, F., Crovari, P., and Garzotto, F. (2020). Multicriteria decision analysis and conversational agents for children with autism. In Proceedings of the 53rd Hawaii International Conference on System Sciences.
Yalçın, ö. N. (2020). Empathy framework for embodied conversational agents. Cognitive Systems Research, 59:123–132.
Zhang, Y., Gao, X., Lee, S., Brockett, C., Galley, M., Gao, J., and Dolan, B. (2019). Consistent dialogue generation with self-supervised feature learning. arXiv preprint arXiv:1903.05759.
Biancardi, B., Wang, C., Mancini, M., Cafaro, A., Chanel, G., and Pelachaud, C. (2019). A computational model for managing impressions of an embodied conversational agent in real-time. In 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII), pages 1–7. IEEE.
Bluck, S. and Levine, L. J. (1998). Reminiscence as autobiographical memory: A catalyst for reminiscence theory development. Ageing & Society, 18(2):185–208.
Chetty, G. and White, M. (2019). Embodied conversational agents and interactive virtual humans for training simulators. In Proc. The 15th International Conference on Auditory-Visual Speech Processing, pages 73–77.
Conway, M. A. and Pleydell-Pearce, C. W. (2000). The construction of autobiographical memories in the self-memory system. Psychological review, 107(2):261.
Croes, E. A. and Antheunis, M. L. (2021). Can we be friends with mitsuku? a longitudinal study on the process of relationship formation between humans and a social chatbot.
Journal of Social and Personal Relationships, 38(1):279–300.
Das, K. S. J., Beinema, T., Op Den Akker, H., and Hermens, H. (2019). Generation of multi-party dialogues among embodied conversational agents to promote active living and healthy diet for subjects suffering from type 2 diabetes. In 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2019, pages 297–304. SCITEPRESS.
Kramer, L., ter Stal, S., Mulder, B., de Vet, E., and van Velsen, L. (2019). Developing embodied conversational agents for healthy lifestyles: a scoping review. In ARPH.
Martínez-Miranda, J., Martínez, A., Ramos, R., Aguilar, H., Jiménez, L., Arias, H., Rosales, G., and Valencia, E. (2019). Assessment of users’ acceptability of a mobile-based embodied conversational agent for the prevention and detection of suicidal behaviour. Journal of medical systems, 43(8):246.
Mehrabian, A. and Epstein, N. (1972). A measure of emotional empathy. Journal of personality.
Melgare, J. K., Musse, S. R., Schneider, N. R., and Queiroz, R. B. (2019). Investigating emotion style in human faces and avatars. In 2019 18th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames), pages 115–124. IEEE.
Philip, P., Dupuy, L., Auriacombe, M., Serre, F., de Sevin, E., Sauteraud, A., and Micoulaud-Franchi, J.-A. (2020). Trust and acceptance of a virtual psychiatric interview between embodied conversational agents and outpatients. npj Digital Medicine, 3(1):1–7.
Sajjadi, P., Hoffmann, L., Cimiano, P., and Kopp, S. (2019). A personality-based emotional model for embodied conversational agents: Effects on perceived social presence and game experience of users. Entertainment Computing, 32:100313.
Spitale, M., Catania, F., Crovari, P., and Garzotto, F. (2020). Multicriteria decision analysis and conversational agents for children with autism. In Proceedings of the 53rd Hawaii International Conference on System Sciences.
Yalçın, ö. N. (2020). Empathy framework for embodied conversational agents. Cognitive Systems Research, 59:123–132.
Zhang, Y., Gao, X., Lee, S., Brockett, C., Galley, M., Gao, J., and Dolan, B. (2019). Consistent dialogue generation with self-supervised feature learning. arXiv preprint arXiv:1903.05759.
Publicado
06/11/2023
Como Citar
KNOB, Paulo Ricardo; MUSSE, Soraia Raupp.
Modeling an Empathetic Embodied Conversational Agent. In: CONCURSO DE TESES E DISSERTAÇÕES – DOUTORADO - SIMPÓSIO BRASILEIRO DE JOGOS E ENTRETENIMENTO DIGITAL (SBGAMES), 22. , 2023, Rio Grande/RS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 1390-1396.
DOI: https://doi.org/10.5753/sbgames_estendido.2023.234986.
