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User Affective Experience into a Scope of Conversational Artificial Intelligence

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Applied Technologies (ICAT 2020)

Abstract

The goal of the following research is to know the User experience during the interaction into a scope of Conversational Artificial Intelligence, having “Max” the virtual assistant from Universidad Técnica Particular de Loja (UTPL) as the evaluation interface. The assessment is done through virtual form with the presence of 45 members from the university community (15 students, 15 parents and 15 external). Previously to the interaction a kind of formative initial test is applied next to the Recognition of perceived emotions, the mobile application EmoApp-Pro (EMODIANA) and the FaceApi from Microsoft Azure. The research has a mixed approach, with a concurrent and quasi-experimental design of transactional type and a descriptive scope. The obtained results show that user’s affective experience is negative. Therefore, it is concluded that the must be constant feedback to the data base managed by the UTPL, precision in the addressing of answers and a mayor campaign to the society has to be done. Due to the sanitary emergency we face nowadays because of COVID-19 it will be very helpful doing academic processes that cannot be done in personal manner.

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References

  1. Marcos, M.-C.: HCI (human computer interaction): concepto y desarrollo. El Prof. la Inf. 10(6), 4–16 (2001)

    Google Scholar 

  2. Sears, A., Jacko, J.A.: Human-Computer Interaccion. Second (2007)

    Google Scholar 

  3. Boada, N.: ¿Por qué es tan importante el User Experience o Experiencia del Usuario? (2017). https://www.cyberclick.es/numerical-blog/por-que-userexperience-o-experiencia-del-usuario, Accessed 13 Mar 2019

  4. Ekman, P.F.: Universals and cultural differences in facial expressions of emotion. J. Pers. Soc. Psychol. 19, 208–282 (1971)

    Google Scholar 

  5. Nesse, R.M.: Evolutionary explanations of emotions. Hum. Nat. 1(13), 261–289 (1990)

    Article  Google Scholar 

  6. Lazarus, R.S.: Progress on a cognitive-motivational-relational theory of emotion. Am. Psychol. 46(8), 819–834 (1991)

    Article  Google Scholar 

  7. Bisquerra, R.: Psicología de las emociones, no. 1 (2003)

    Google Scholar 

  8. Buck, R., Khan, M., Fagan, M., Coman, E.: The user affective experience scale: a measure of emotions anticipated in response to pop-up computer warnings. Int. J. Hum. Comput. Interact. 34(1), 25–34 (2018)

    Article  Google Scholar 

  9. Mira, J.: Inteligencia artificial, emoción y neurociencia. Arbor 162(640), 473–506 (1999)

    Article  Google Scholar 

  10. Garcia, A.: Inteligencia artificial: fundamentos practica y aplicaciones. RC Libros (2012)

    Google Scholar 

  11. Gomes, C.C., Preto, S.: Artificial intelligence and interaction design for a positive emotional user experience. In: Karwowski, W., Ahram, T. (eds.) IHSI. AISC, vol. 722, pp. 62–68. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-73888-8_11

  12. Brinquis, C.: IA conversacional: conversaciones reales con un ordenador (2019). https://www.incentro.com/es-es/blog/stories/ai-conversacional-conversacionesreales-con-un-ordenador/,Accessed 13 Apr 2019

  13. Nieves, B.: IA Conversacional: definición y conceptos básicos (2018). https://planetachatbot.com/ia-conversacional-conceptos-basicos-y-la-definicion107529e213c1, Accessed 04 Dec 2019

  14. Fitrianie, S.: My_Eliza, A multimodal communication system. In: Proceedings of Euromedia, p. 187 (2002)

    Google Scholar 

  15. Turing, A.M.:Computing Machinery and Intelligence (1950)

    Google Scholar 

  16. Hernández, R., Fernández, C., Baptista, P.: Metodología de la investigación. Sexta, México (2014)

    Google Scholar 

  17. Espinosa, P., Hernández, H., López, R., Lozano, S.: Muestreo de Bola de Nieve. Departamento de Probabilidad y Estadística UNAM (2018). https://es.scribd.com/document/379661920/Proyectofinal-Bola-de-Nieve, Accessed 15 Jul 2020

  18. Constitucional, C.E.: Registro Oficial - Órgano de la República del Ecuador, Ecuador (2020)

    Google Scholar 

  19. Vicente, C.: Manual de usuario aplicación móvil emoAppPro, Loja (2020)

    Google Scholar 

  20. Microsoft. Servicios de informática en la nube|Microsoft Azure (2020)

    Google Scholar 

  21. Cohen, J.: A coefficient of agreement for nominal scales. Educ. Psychol. Meas. 20(1), 37–46 (1960)

    Article  Google Scholar 

  22. Richard Landis, J., Koch, G.G.: The measurement of observer agreement for categorical data. Biometrics 33(1), 159 (1977). https://doi.org/10.2307/2529310

    Article  MATH  Google Scholar 

  23. Rivas, F.: El significado de la significancia. Biomedica 18(4), 291 (1998)

    Article  Google Scholar 

  24. Rubio, M., Berlanga, V.: Cómo aplicar las pruebas paramétricas bivariadas t de Student y ANOVA en SPSS. Caso práctico. REIRE. Revista d'Innovació i Recerca en Educació 5, 18 (2012)

    Google Scholar 

  25. Dibitonto, M., Leszczynska, K., Tazzi, F., Medaglia, C.M.: Chatbot in a campus environment: design of LiSA, a virtual assistant to help students in their university life. In: Kurosu, M. (ed.) HCI. LNCS, vol. 10903, pp. 103–116. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-91250-9_9

  26. Piguave, K.L.: Análisis de la herramienta ‘chatbot’ y su influencia comunicacional en los estudiantes de la carrera de comunicación social, universidad de guayaquil 2018. Universidad de uayaquil, Facultad de Comunicación Social (2019)

    Google Scholar 

  27. Gonzálezonzález, C.: EMODIANA: Un instrumento para la evaluación subjetiva de emociones en niños y niñas, no. September (2013)

    Google Scholar 

  28. Condori-Fernandez, N., Bolos, A.C., Lago, P.: Poster: discovering requirements of behaviour change software systems from negative user experience. In: Proceedings - International Conference on Software Engineering, pp. 222–223 (2018)

    Google Scholar 

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Correspondence to Ligia Maza-Jiménez .

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Maza-Jiménez, L., Torres-Carrión, P., González, C., Rodríguez, G., Vaca, S. (2021). User Affective Experience into a Scope of Conversational Artificial Intelligence. In: Botto-Tobar, M., Montes León, S., Camacho, O., Chávez, D., Torres-Carrión, P., Zambrano Vizuete, M. (eds) Applied Technologies. ICAT 2020. Communications in Computer and Information Science, vol 1388. Springer, Cham. https://doi.org/10.1007/978-3-030-71503-8_2

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  • DOI: https://doi.org/10.1007/978-3-030-71503-8_2

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