Empatía Percibida en Interacciones Humano-Agente: Comparación de Instrumentos y Desarrollo del Cuestionario CEPRS

Alberto Hitos-García; Francisco Luis Gutiérrez-Vela; Patricia Paderewski-Rodríguez; André Luis Satoshi Kawamoto

doi:10.65234/interaccion.132

Autores/as

Alberto Hitos-García Universidad de Granada, España
Francisco Luis Gutiérrez-Vela Universidad de Granada, España https://orcid.org/0000-0001-6629-7597
Patricia Paderewski-Rodríguez Universidad de Granada, España https://orcid.org/0000-0001-6626-9633
André Luis Satoshi Kawamoto Universidade Tecnológica Federal do Paraná, Campo Mourão-PR, Brasil https://orcid.org/0000-0002-0176-4366

DOI:

https://doi.org/10.65234/interaccion.132

Palabras clave:

Empatía Percibida, Interacción Persona-Ordenador (IPO), Instrumentos de Medición, Análisis Comparativo

Resumen

La empatía percibida en las interacciones con agentes computacionales es un tema emergente y de gran importancia en la Interacción Persona-Ordenador (IPO). Este estudio presenta un análisis comparativo de los instrumentos existentes para medir la empatía percibida en agentes computacionales y, a partir de las limitaciones detectadas, propone un nuevo cuestionario adaptado a la interacción con adultos mayores. Al evaluar los fundamentos teóricos, la adaptabilidad y los procesos de validación de las herramientas revisadas, el artículo identifica fortalezas y debilidades clave, especialmente en relación con la evaluación de señales multimodales y la naturaleza dinámica de la interacción. Además, se destaca la necesidad de instrumentos accesibles y sensibles al contexto emocional y comunicativo de distintos grupos de usuarios, especialmente los adultos mayores. Los hallazgos respaldan el desarrollo de enfoques de medición más inclusivos y específicos, con el fin de fomentar interacciones Humano-Agente más efectivas, significativas y confiables.

Referencias

Birmingham, C., Perez, A., & Mataric, M. (2022). Perceptions of Cognitive and Affective Empathetic Statements by Socially Assistive Robots. ACM/IEEE International Conference on Human-Robot Interaction, 2022-March, 323–331. https://doi.org/10.1109/HRI53351.2022.9889386 DOI: https://doi.org/10.1109/HRI53351.2022.9889386

Borycki, E. M., Kletke, R., le Nobel, C., McWilliams, G., Whitehouse, S., & Kushniruk, A. W. (2024). Empathetic and Emotive Design Heuristics. In pHealth 2024 (pp. 80–84). IOS Press. https://doi.org/10.3233/SHTI240062 DOI: https://doi.org/10.3233/SHTI240062

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa DOI: https://doi.org/10.1191/1478088706qp063oa

Charrier, L., Rieger, A., Galdeano, A., Cordier, A., Lefort, M., & Hassas, S. (2019). The RoPE Scale: a Measure of How Empathic a Robot is Perceived. Proceedings of the 14th ACM/IEEE International Conference on Human -Robot Interaction, 656–657. https://doi.org/10.1109/HRI.2019.8673082 DOI: https://doi.org/10.1109/HRI.2019.8673082

Chaves, A. P., & Gerosa, M. A. (2021). How Should My Chatbot Interact? A Survey on Social Characteristics in Human–Chatbot Interaction Design. International Journal of Human–Computer Interaction, 37(8), 729–758. https://doi.org/10.1080/10447318.2020.1841438 DOI: https://doi.org/10.1080/10447318.2020.1841438

Chi, O. H., Jia, S., Li, Y., & Gursoy, D. (2021). Developing a formative scale to measure consumers’ trust toward interaction with artificially intelligent (AI) social robots in service delivery. Computers in Human Behavior, 118, 106700. https://doi.org/10.1016/j.chb.2021.106700 DOI: https://doi.org/10.1016/j.chb.2021.106700

Concannon, S., & Tomalin, M. (2024). Measuring perceived empathy in dialogue systems. AI & SOCIETY, 39(5), 2233–2247. https://doi.org/10.1007/s00146-023-01715-z DOI: https://doi.org/10.1007/s00146-023-01715-z

Cuadra, A., Wang, M., Stein, L. A., Jung, M. F., Dell, N., Estrin, D., & Landay, J. A. (2024). The Illusion of Empathy? Notes on Displays of Emotion in Human-Computer Interaction. Proceedings of the CHI Conference on Human Factors in Computing Systems, 1–-18. https://doi.org/10.1145/3613904.3642336 DOI: https://doi.org/10.1145/3613904.3642336

Daher, K., Casas, J., Khaled, O. A., & Mugellini, E. (2020). Empathic Chatbot Response for Medical Assistance. Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents, 1–3. https://doi.org/10.1145/3383652.3423864 DOI: https://doi.org/10.1145/3383652.3423864

Davis, M. H., & others. (1980). A multidimensional approach to individual differences in empathy. JSAS Catalog of Selected Documents in Psychology, 10, 85. https://www.uv.es/friasnav/Davis_1980.pdf

Decker, S. E., Nich, C., Carroll, K. M., & Martino, S. (2014). Development of the therapist empathy scale. Behavioural and Cognitive Psychotherapy, 42(3), 339–354. https://doi.org/10.1017/S1352465813000039 DOI: https://doi.org/10.1017/S1352465813000039

Hogan, R. (1969). Development of an empathy scale. Journal of Consulting and Clinical Psychology, 33(3), 307–-316. https://doi.org/10.1037/h0027580 DOI: https://doi.org/10.1037/h0027580

Hojat, M., DeSantis, J., Shannon, S. C., Mortensen, L. H., Speicher, M. R., Bragan, L., LaNoue, M., & Calabrese, L. H. (2018). The Jefferson Scale of Empathy: a nationwide study of measurement properties, underlying components, latent variable structure, and national norms in medical students. Advances in Health Sciences Education, 23, 899–920. https://doi.org/10.1007/s10459-018-9839-9 DOI: https://doi.org/10.1007/s10459-018-9839-9

James, J., Watson, C. I., & MacDonald, B. (2018). Artificial Empathy in Social Robots: An analysis of Emotions in Speech. Proceedings of the 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 632–637. https://doi.org/10.1109/ROMAN.2018.8525652 DOI: https://doi.org/10.1109/ROMAN.2018.8525652

Kroes, K., Saccardi, I., & Masthoff, J. (2022). Empathizing with virtual agents: the effect of personification and general empathic tendencies. Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, 73–81. https://doi.org/10.1109/AIVR56993.2022.00017 DOI: https://doi.org/10.1109/AIVR56993.2022.00017

Lugrin, B., Pelachaud, C., & Traum, D. (Eds.). (2022). The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 2: Interactivity, Platforms, Application (1st ed., Vol. 48). Association for Computing Machinery. DOI: https://doi.org/10.1145/3477322.3477324

Paiva, A., Leite, I., Boukricha, H., & Wachsmuth, I. (2017). Empathy in Virtual Agents and Robots: A Survey. ACM Trans. Interact. Intell. Syst., 7(3), 11:1–11:40. https://doi.org/10.1145/2912150 DOI: https://doi.org/10.1145/2912150

Park, S., & Whang, M. (2022). Empathy in Human–Robot Interaction: Designing for Social Robots. International Journal of Environmental Research and Public Health, 19(3), 1889. https://doi.org/10.3390/ijerph19031889 DOI: https://doi.org/10.3390/ijerph19031889

Putta, H., Daher, K., Kamali, M. El, Khaled, O. A., Lalanne, D., & Mugellini, E. (2022). Empathy scale adaptation for artificial agents: a review with a new subscale proposal. Proceedings of the 8th International Conference on Control, Decision and Information Technologies, 1, 699–704. https://doi.org/10.1109/CoDIT55151.2022.9803993 DOI: https://doi.org/10.1109/CoDIT55151.2022.9803993

Roshanaei, M., Rezapour, R., & El-Nasr, M. S. (2024). Talk, Listen, Connect: Navigating Empathy in Human-AI Interactions. https://doi.org/10.48550/arXiv.2409.15550

Schmidmaier, M., Rupp, J., Cvetanova, D., & Mayer, S. (2024). Perceived Empathy of Technology Scale (PETS): Measuring Empathy of Systems Toward the User. Proceedings of the CHI Conference on Human Factors in Computing Systems, 1–18. https://doi.org/10.1145/3613904.3642035 DOI: https://doi.org/10.1145/3613904.3642035

Tisseron, S., Tordo, F., & Baddoura, R. (2015). Testing Empathy with Robots: A Model in Four Dimensions and Sixteen Items. International Journal of Social Robotics, 7(1), 97–102. https://doi.org/10.1007/s12369-014-0268-5 DOI: https://doi.org/10.1007/s12369-014-0268-5

Urakami, J., Moore, B. A., Sutthithatip, S., & Park, S. (2019). Users’ Perception of Empathic Expressions by an Advanced Intelligent System. Proceedings of the 7th International Conference on Human-Agent Interaction, 11–18. https://doi.org/10.1145/3349537.3351895 DOI: https://doi.org/10.1145/3349537.3351895

Xu, Z., & Jiang, J. (2024). Multi-dimensional Evaluation of Empathetic Dialog Responses. https://doi.org/10.48550/arXiv.2402.11409 DOI: https://doi.org/10.18653/v1/2024.findings-emnlp.113

Yalçın, Ö. N., Utz, V., & DiPaola, S. (2024). Empathy through Aesthetics: Using AI Stylization for Visual Anonymization of Interview Videos. Proceedings of the 3rd Empathy-Centric Design Workshop: Scrutinizing Empathy Beyond the Individual, 63–-68. https://doi.org/10.1145/3661790.3661803 DOI: https://doi.org/10.1145/3661790.3661803

Yang, B., Sun, Y., & Shen, X.-L. (2023). Understanding AI-based customer service resistance: A perspective of defective AI features and tri-dimensional distrusting beliefs. Information Processing & Management, 60(3), 103257. https://doi.org/10.1016/j.ipm.2022.103257 DOI: https://doi.org/10.1016/j.ipm.2022.103257

Yang, Y., Ma, X., & Fung, P. (2017). Perceived Emotional Intelligence in Virtual Agents. Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, 2255–-2262. https://doi.org/10.1145/3027063.3053163 DOI: https://doi.org/10.1145/3027063.3053163