Conversational agents: a survey on culturally informed design practices

Authors

DOI:

https://doi.org/10.5753/jis.2023.2961

Keywords:

Systematic review, Culture, Design, Interaction, Conversational agent

Abstract

The development and use of conversational agents grow every day. However, those systems still need to meet users' expectations. As a result, new design practices for conversational agents are emerging. One facet is the culturally informed design of those systems. Tailoring conversational agents culturally can increase engagement, trustworthiness, and acceptance. While an emerging trend, literature still needs to discuss research and application of design practices related to culture and conversational agents. The present study investigates 5398 articles involving conversational agents and culture over the last seven years. In this context, we selected 23 articles based on their approaches and objectives related to our main subject. The findings indicate that most studies in the field are mainly focused on the feasibility of cultural markers tailored to those systems. The main contribution is the identification of the main challenges, contexts and design practices in the field. These results contributed to discussions regarding conversational agents and highlighted some research gaps for future study.

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References

Aljaroodi, H. M., Adam, M. T., Chiong, R., Teubner, T., et al. (2019). Avatars and embodied agents in experimental information systems research: A systematic review and conceptual framework. Australasian Journal of Information Systems, 23.

Aljaroodi, H. M., Chiong, R., and Adam, M. T. (2020). Exploring the design of avatars for users from arabian culture through a hybrid approach of deductive and inductive reasoning. Computers in Human Behavior, 106:106246.

Alsheddi, A. S. and Alhenaki, L. S. (2022). English and arabic chatbots: A systematic literature review. International Journal of Advanced Computer Science and Applications, 13(8).

Carnell, S. and Lok, B. (2018). The effects of author identity on dialogue for virtual human communication skills training. In Proceedings of the 18th International Conference on Intelligent Virtual Agents, pages 65–70.

Cerda Diez, M., E. Cortés, D., Trevino-Talbot, M., Bangham, C., Winter, M. R., Cabral, H., Norkunas Cunningham, T., M. Toledo, D., J. Bowen, D., K. Paasche-Orlow, M., et al. (2019). Designing and evaluating a digital family health history tool for spanish speakers. International Journal of Environmental Research and Public Health, 16(24):4979.

Chaves, A. P. and Gerosa, M. A. (2020). How should my chatbot interact? a survey on social characteristics in human–chatbot interaction design. International Journal of Human–Computer Interaction, pages 1–30.

Chen, Z., Lu, Y., Nieminen, M. P., and Lucero, A. (2020). Creating a chatbot for and with migrants: chatbot personality drives co-design activities. In Proceedings of the 2020 acm designing interactive systems conference, pages 219– 230.

Dahlbäck, N., Jönsson, A., and Ahrenberg, L. (1993). Wizard of oz studies—why and how. Knowledge-based systems, 6(4):258–266.

Danielescu, A. and Christian, G. (2018). A bot is not a polyglot: Designing personalities for multi-lingual conversational agents. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, pages 1–9.

Feine, J., Gnewuch, U., Morana, S., and Maedche, A. (2019). Gender bias in chatbot design. In International Workshop on Chatbot Research and Design, pages 79–93. Springer.

Følstad, A., Araujo, T., Law, E. L.-C., Brandtzaeg, P. B., Papadopoulos, S., Reis, L., Baez, M., Laban, G., McAllister, P., Ischen, C., et al. (2021). Future directions for chatbot research: an interdisciplinary research agenda. Computing, 103(12):2915–2942.

Følstad, A. and Brandtzæg, P. B. (2017). Chatbots and the new world of hci. interactions, 24(4):38–42.

Geertz, C. (1973). The interpretation of cultures, volume 5043. Basic books.

Guerrero-Vásquez, L. F., Robles-Bykbaev, V. E., López-Nores, M., Bravo-Torres, J. F., Jara-Quito, H. J., Tapia-Vintimilla, M. A., Pazos-Arias, J. J., and Gil-Solla, A. (2020). Assessing children’s perceptions of live interactions with avatars: Preparations for use in asd therapy in a multi-ethnic context. IEEE Access, 8:168456–168469.

Hofstede, G. (2001). Culture’s consequences: Comparing values, behaviors, institutions and organizations across nations. sage.

Jakobson, R. (2008). Lingüística e comunicação. Editora Cultrix.

Keesing, R. M. (1974). Theories of culture. Annual review of anthropology, 3(1):73–97.

Kim, J., Muhic, J., Robert, L. P., and Park, S. Y. (2022). Designing chatbots with black americans with chronic conditions: Overcoming challenges against covid-19. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, pages 1–17.

Kitchenham, B., Brereton, O. P., Budgen, D., Turner, M., Bailey, J., and Linkman, S. (2009). Systematic literature reviews in software engineering–a systematic literature review. Information and software technology, 51(1):7–15.

Kitchenham, B. and Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering.

Klopfenstein, L. C., Delpriori, S., Malatini, S., and Bogliolo, A. (2017). The rise of bots: A survey of conversational interfaces, patterns, and paradigms. In Proceedings of the 2017 conference on designing interactive systems, pages 555–565.

Kuhail, M. A., Alturki, N., Alramlawi, S., and Alhejori, K. (2022). Interacting with educational chatbots: A systematic review. Education and Information Technologies, pages 1–46.

Laranjo, L., Dunn, A. G., Tong, H. L., Kocaballi, A. B., Chen, J., Bashir, R., Surian, D., Gallego, B., Magrabi, F., Lau, A. Y., et al. (2018). Conversational agents in healthcare: a systematic review. Journal of the American Medical Informatics Association, 25(9):1248–1258.

Liao, Y. and He, J. (2020). Racial mirroring effects on human-agent interaction in psychotherapeutic conversations. In Proceedings of the 25th international conference on intelligent user interfaces, pages 430–442.

Löffler, D., Hurtienne, J., and Nord, I. (2021). Blessing robot blessu2: a discursive design study to understand the implications of social robots in religious contexts. International Journal of Social Robotics, 13(4):569–586.

Ludin, N., Holt-Quick, C., Hopkins, S., Stasiak, K., Hetrick, S., Warren, J., and Cargo, T. (2022). A chatbot to support young people during the covid-19 pandemic in new zealand: Evaluation of the real-world rollout of an open trial. Journal of Medical Internet Research, 24(11):e38743.

Lugrin, B., Eckstein, B., Bergmann, K., and Heindl, C. (2018). Adapted foreigner-directed communication towards virtual agents. In Proceedings of the 18th International Conference on Intelligent Virtual Agents, pages 59–64.

Machidon, O. M., Duguleana, M., and Carrozzino, M. (2018). Virtual humans in cultural heritage ict applications: A review. Journal of Cultural Heritage, 33:249–260.

Marcuschi, L. A. (1991). Análise da conversação. Ed. Ática.

Montenegro, J. L. Z., da Costa, C. A., and da Rosa Righi, R. (2019). Survey of conversational agents in health. Expert Systems with Applications, 129:56–67.

Mordor (2023). Global chatbot market - growth, trends, covid-19 impact, and forecasts (2023 - 2028). Mordor Intelligence. [link].

Murali, P., Shamekhi, A., Parmar, D., and Bickmore, T. (2020). Argumentation is more important than appearance for designing culturally tailored virtual agents. In Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems, pages 1940–1942.

Obremski, D., Lugrin, J.-L., Schaper, P., and Lugrin, B. (2021). Non-native speaker perception of intelligent virtual agents in two languages: the impact of amount and type of grammatical mistakes. Journal on Multimodal User Interfaces, 15(2):229–238.

O’Leary, T. K., Stowell, E., Kimani, E., Parmar, D., Olafsson, S., Hoffman, J., Parker, A. G., Paasche-Orlow, M. K., and Bickmore, T. (2020). Community-based cultural tailoring of virtual agents. In Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents, pages 1–8.

Pataranutaporn, P., Ngamarunchot, B., Chaovavanich, K., Chatwiriyachai, S., Ngamkajornwiwat, P., Ninyawee, N., and Surareungchai, W. (2019). Buddha bot: The exploration of embodied spiritual machine in chatbot. In Proceedings of the Future Technologies Conference, pages 589–595. Springer.

Peng, M. L., Wickersham, J. A., Altice, F. L., Shrestha, R., Azwa, I., Zhou, X., Halim, M. A. A., Ikhtiaruddin, W. M., Tee, V., Kamarulzaman, A., et al. (2022). Formative evaluation of the acceptance of hiv prevention artificial intelligence chatbots by men who have sex with men in malaysia: Focus group study. JMIR Formative Research, 6(10):e42055.

Prietch, S. S., Sánchez, J. A., and García, J. G. (2022). Understanding cultural aspects of deaf communities in méxico towards the codesign of automatic sign language processing systems. Journal on Interactive Systems, 13(1):15–25.

Rahman, R., Rahman, M. R., Tripto, N. I., Ali, M. E., Apon, S. H., and Shahriyar, R. (2021). Adolescentbot: Understanding opportunities for chatbots in combating adolescent sexual and reproductive health problems in bangladesh. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, pages 1–15.

Rehm, M., Rodil, K., and Krummheuer, A. L. (2018). Developing a new brand of culturally-aware personal robots based on local cultural practices in the danish health care system. In 2018 IEEE/RSJ international conference on intelligent robots and systems (IROS), pages 2002–2007. IEEE.

Rheu, M., Shin, J. Y., Peng, W., and Huh-Yoo, J. (2020). Systematic review: Trust-building factors and implications for conversational agent design. International Journal of Human–Computer Interaction, pages 1–16.

Salgado, L., Pereira, R., and Gasparini, I. (2015). Cultural issues in hci: challenges and opportunities. In Human-Computer Interaction: Design and Evaluation: 17th International Conference, HCI International 2015, Los Angeles, CA, USA, August 2-7, 2015, Proceedings, Part I 17, pages 60–70. Springer.

Shawar, B. A. and Atwell, E. (2007). Chatbots: are they really useful? In Ldv forum, volume 22, pages 29–49.

Singh, S. and Beniwal, H. (2022). A survey on near-human conversational agents. Journal of King Saud University-Computer and Information Sciences, 34(10):8852–8866.

Suta, P., Lan, X., Wu, B., Mongkolnam, P., and Chan, J. (2020). An overview of machine learning in chatbots. International Journal of Mechanical Engineering and Robotics Research, 9(4):502–510.

Tharp, B. M. (2009). Defining “culture” and “organizational culture”: From anthropology to the office. Interpretation a Journal of Bible and Theology, 2(3):1–5.

Triandis, H. C. and Vassiliou, V. (1972). Interpersonal influence and employee selection in two cultures. Journal of Applied Psychology, 56(2):140.

Trovato, G., Ramos, J. G., Azevedo, H., Moroni, A., Magossi, S., Simmons, R., Ishii, H., and Takanishi, A. (2017). A receptionist robot for brazilian people: study on interaction involving illiterates. Paladyn, Journal of Behavioral Robotics, 8(1):1–17.

Tylor, E. B. (1871). Primitive culture: Researches into the development of mythology, philosophy, religion, art and custom, volume 2. J. Murray.

Wang, H., Gupta, S., Singhal, A., Muttreja, P., Singh, S., Sharma, P., and Piterova, A. (2022). An artificial intelligence chatbot for young people’s sexual and reproductive health in india (snehai): Instrumental case study. Journal of Medical Internet Research, 24(1):e29969.

Wang, I., Buchweitz, L., Smith, J., Bornholdt, L.-S., Grund, J., Ruiz, J., and Korn, O. (2020). Wow, you are terrible at this! an intercultural study on virtual agents giving mixed feedback. In Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents, pages 1–8.

Weizenbaum, J. (1966). Eliza—a computer program for the study of natural language communication between man and machine. Communications of the ACM, 9(1):36–45.

Wołk, K., Wołk, A., Wnuk, D., Grześ, T., and Skubis, I. (2022). Survey on dialogue systems including slavic languages. Neurocomputing, 477:62–84.

Yadav, D., Malik, P., Dabas, K., and Singh, P. (2019). Feedpal: Understanding opportunities for chatbots in breastfeeding education of women in india. Proceedings of the ACM on Human-Computer Interaction, 3(CSCW):1–30.

Yin, L., Bickmore, T., and Cortés, D. E. (2010). The impact of linguistic and cultural congruity on persuasion by conversational agents. In International Conference on Intelligent Virtual Agents, pages 343–349. Springer.

Zhai, C. and Wibowo, S. (2022). A systematic review on cross-culture, humor and empathy dimensions in conversational chatbots: the case of second language acquisition. Heliyon, page e12056.

Zhou, S., Zhang, Z., and Bickmore, T. (2017). Adapting a persuasive conversational agent for the chinese culture. In 2017 international conference on culture and computing (culture and computing), pages 89–96. IEEE.

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Published

2023-03-11

How to Cite

MONTEIRO, M. de S.; SALGADO, L. C. de C. Conversational agents: a survey on culturally informed design practices. Journal on Interactive Systems, Porto Alegre, RS, v. 14, n. 1, p. 33–46, 2023. DOI: 10.5753/jis.2023.2961. Disponível em: https://journals-sol.sbc.org.br/index.php/jis/article/view/2961. Acesso em: 14 jun. 2024.

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Regular Paper

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