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Chatbots as Part of Digital Government Service Provision – A User Perspective

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Chatbot Research and Design (CONVERSATIONS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13815))

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Abstract

Chatbots are taken up as part of digital government service provision. While the success of chatbots for this purpose depends on these being accepted by their intended users, there is a lack of knowledge concerning user perceptions of such chatbots and the implications of these for intention to use. In response to this, an exploratory qualitative interview study was conducted with 15 users of a chatbot for municipality service provision. The interviews showed the importance of performance expectations, effort expectations, and trust. In particular, while a municipality chatbot supporting service triaging may be perceived as beneficial for their availability and to provide support navigation of municipality services and information, this benefit is compared by users to the benefit of other digital government channels. On the basis of the findings, we present key implications to theory and practice, and suggest avenues for future research.

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References

  1. Adam, M., Wessel, M., Benlian, A.: AI-based chatbots in customer service and their effects on user compliance. Electron. Mark. 31(2), 427–445 (2020). https://doi.org/10.1007/s12525-020-00414-7

    Article  Google Scholar 

  2. Amiri, P., Karahanna, E.: Chatbot use cases in the Covid-19 public health response. J. Am. Med. Inform. Assoc. 29(5), 1000–1010 (2022)

    Article  Google Scholar 

  3. Androutsopoulou, A., Karacapilidis, N., Loukis, E., Charalabidis, Y.: Transforming the communication between citizens and government through AI-guided chatbots. Gov. Inf. Q. 36(2), 358–367 (2019)

    Article  Google Scholar 

  4. Araujo, T.: Living up to the chatbot hype: the influence of anthropomorphic design cues and communicative agency framing on conversational agent and company perceptions. Comput. Hum. Behav. 85, 183–189 (2018)

    Article  Google Scholar 

  5. Ashfaq, M., Yun, J., Yu, S., Loureiro, S.M.C.: I, Chatbot: modeling the determinants of users’ satisfaction and continuance intention of AI-powered service agents. Telematics Inform. 54, 101473 (2020)

    Article  Google Scholar 

  6. Brandtzaeg, PBae, Følstad, A.: Why people use chatbots. In: Kompatsiaris, I., Cave, J., Satsiou, A., Carle, G., Passani, A., Kontopoulos, E., Diplaris, S., McMillan, D. (eds.) INSCI 2017. LNCS, vol. 10673, pp. 377–392. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-70284-1_30

    Chapter  Google Scholar 

  7. Brandtzæg, P.B., Skjuve, M., Kristoffer Dysthe, K.K., Følstad, A.: When the social becomes non-human: young people’s perception of social support in chatbots. In: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, paper no. 257. ACM, New York (2021)

    Google Scholar 

  8. Braun, V., Clarke, V.: Using thematic analysis in psychology. Qual. Res. Psychol. 3(2), 77–101 (2006)

    Article  Google Scholar 

  9. Carter, L., Bélanger, F.: The utilization of e-government services: citizen trust, innovation and acceptance factors. Inf. Syst. J. 15(1), 5–25 (2005)

    Article  Google Scholar 

  10. Chen, H., Liu, X., Yin, D., Tang, J.: A survey on dialogue systems: recent advances and new frontiers. ACM SIGKDD Explor. Newsl. 19(2), 25–35 (2017)

    Article  Google Scholar 

  11. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 319–340 (1989)

    Google Scholar 

  12. De Cicco, R., Iacobucci, S., Aquino, A., Romana Alparone, F., Palumbo, R.: Understanding users’ acceptance of chatbots: an extended TAM approach. In: Følstad, A., et al. (eds.) CONVERSATIONS 2021. LNCS, vol. 13171, pp. 3–22. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-94890-0_1

  13. European Commission: 2030 Digital Compass: the European Way for the Digital Decade. Communication from the Commission (2021). https://ec.europa.eu/info/strategy/priorities-2019-2024/europe-fit-digital-age/europes-digital-decade-digital-targets-2030_en

  14. Følstad, A., Brandtzaeg, P.B.: Users’ experiences with chatbots: findings from a questionnaire study. Qual. User Exp. 5(1), 1–14 (2020). https://doi.org/10.1007/s41233-020-00033-2

    Article  Google Scholar 

  15. Gil-Garcia, J.R., FloresZúñiga, M.Á.: Towards a comprehensive understanding of digital government success: integrating implementation and adoption factors. Gov. Inf. Q. 37(4), 101518 (2020)

    Article  Google Scholar 

  16. Go, E., Sundar, S.S.: Humanizing chatbots: the effects of visual, identity and conversational cues on humanness perceptions. Comput. Hum. Behav. 97, 304–316 (2019)

    Article  Google Scholar 

  17. Haugeland, I.K.F., Følstad, A., Taylor, C., Bjørkli, C.A.: Understanding the user experience of customer service chatbots: an experimental study of chatbot interaction design. Int. J. Hum. Comput. Stud. 161, 102788 (2022)

    Article  Google Scholar 

  18. Janowski, T.: Digital government evolution: from transformation to contextualization. Gov. Inf. Q. 32(3), 221–236 (2015)

    Article  Google Scholar 

  19. Laban, G.: Perceptions of anthropomorphism in a chatbot dialogue: the role of animacy and intelligence. In: Proceedings of the 9th International Conference on Human-Agent Interaction, pp. 305–310. ACM, New York (2021)

    Google Scholar 

  20. Laban, G., Araujo, T.: Working together with conversational agents: the relationship of perceived cooperation with service performance evaluations. In: Følstad, A., et al. (eds.) CONVERSATIONS 2019. LNCS, vol. 11970, pp. 215–228. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-39540-7_15

    Chapter  Google Scholar 

  21. Lee, M., Frank, L., IJsselsteijn, W.: Brokerbot: a cryptocurrency chatbot in the social-technical gap of trust. Comput. Supported Cooper. Work (CSCW) 30, 79–117 (2021)

    Google Scholar 

  22. Luger, E., Sellen, A.: “Like having a really bad PA” the gulf between user expectation and experience of conversational agents. In: Proceedings of CHI 2016, pp. 5286–5297. ACM, New York (2016)

    Google Scholar 

  23. Makasi, T., Nili, A., Desouza, K.C., Tate, M.: A typology of chatbots in public service delivery. IEEE Softw. 39(3), 58–66 (2021)

    Article  Google Scholar 

  24. Makasi, T., Nili, A., Desouza, K., Tate, M.: Chatbot-mediated public service delivery: a public service value-based framework. First Monday 25(12) (2020)

    Google Scholar 

  25. Makasi, T., Nili, A., Desouza, K., Tate, M.: Public service values and chatbots in the public sector: reconciling designer efforts and user expectations. In: Proceedings of the 55th Hawaii International Conference on System Sciences, pp. 2334–2343. University of Hawai’i, Manoa (2022)

    Google Scholar 

  26. Marchionini, G., Samet, H., Brandt, L.: Digital government. Commun. ACM 46(1), 25–27 (2003)

    Google Scholar 

  27. Mygland, M.J., Schibbye, M., Pappas, I.O., Vassilakopoulou, P.: Affordances in human-chatbot interaction: a review of the literature. In: Dennehy, D., Griva, A., Pouloudi, N., Dwivedi, Y.K., Pappas, I., Mäntymäki, M. (eds.) I3E 2021. LNCS, vol. 12896, pp. 3–17. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-85447-8_1

    Chapter  Google Scholar 

  28. Nemeslaki, A., Aranyossy, M., Sasvári, P.: Could on-line voting boost desire to vote?–Technology acceptance perceptions of young Hungarian citizens. Gov. Inf. Q. 33(4), 705–714 (2016)

    Article  Google Scholar 

  29. Nordheim, C.B., Følstad, A., Bjørkli, C.A.: An initial model of trust in chatbots for customer service—findings from a questionnaire study. Interact. Comput. 31(3), 317–335 (2019)

    Article  Google Scholar 

  30. Panagiotopoulos, P., Klievink, B., Cordella, A.: Public value creation in digital government. Gov. Inf. Q. 36(4), 101421 (2019)

    Article  Google Scholar 

  31. Przegalinska, A., Ciechanowski, L., Stroz, A., Gloor, P., Mazurek, G.: In bot we trust: a new methodology of chatbot performance measures. Bus. Horiz. 62(6), 785–797 (2019)

    Article  Google Scholar 

  32. Robertson, S.P., Vatrapu, R.K.: Digital government. Ann. Rev. Inf. Sci. Technol. 44(1), 317–364 (2010)

    Article  Google Scholar 

  33. Seitz, L., Bekmeier-Feuerhahn, S., Gohil, K.: Can we trust a chatbot like a physician? A qualitative study on understanding the emergence of trust toward diagnostic chatbots. Int. J. Hum. Comput. Stud. 165, 102848 (2022)

    Article  Google Scholar 

  34. Shevat, A.: Designing Bots: Creating Conversational Experiences. O’Reilly Media, Sebastopol (2017)

    Google Scholar 

  35. Shyu, S.H.P., Huang, J.H.: Elucidating usage of e-government learning: a perspective of the extended technology acceptance model. Gov. Inf. Q. 28(4), 491–502 (2011)

    Article  Google Scholar 

  36. Simonsen, L., Steinstø, T., Verne, G., Bratteteig, T.: “I’m disabled and married to a foreign single mother”. Public service chatbot’s advice on citizens’ complex lives. In: Hofmann, S., et al. (eds.) ePart 2020. LNCS, vol. 12220, pp. 133–146. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58141-1_11

    Chapter  Google Scholar 

  37. Sipior, J.C., Ward, B.T., Connolly, R.: The digital divide and t-government in the United States: using the technology acceptance model to understand usage. Eur. J. Inf. Syst. 20(3), 308–328 (2011)

    Article  Google Scholar 

  38. United Nations: E-Government Survey 2022. The Future of Digital Government. UN Report. https://publicadministration.un.org/en/Research/UN-e-Government-Surveys

  39. Valverde, M.S.D.R., Vasconcelos, A.F.F.C.: Chatbot in the online provision of government services. In: CAPSI 2019 Proceedings (2019). https://aisel.aisnet.org/capsi2019/41

  40. van Noordt, C., Misuraca, G.: New wine in old bottles: chatbots in government. In: Panagiotopoulos, P., et al. (eds.) ePart 2019. LNCS, vol. 11686, pp. 49–59. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-27397-2_5

    Chapter  Google Scholar 

  41. Venkatesh, V., Thong, J.Y., Xu, X.: Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Q. 157–178 (2012)

    Google Scholar 

  42. Xu, A., Liu, Z., Guo, Y., Sinha, V., Akkiraju, R.: A new chatbot for customer service on social media. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pp. 3506–3510. ACM, New York (2017)

    Google Scholar 

  43. Zamora, J.: I’m sorry, Dave, I’m afraid I can’t do that: chatbot perception and expectations. In: Proceedings of the 5th International Conference on Human Agent Interaction, pp. 253–260. ACM, New York (2017)

    Google Scholar 

  44. Zhu, Y., Janssen, M., Wang, R., Liu, Y.: It is me, chatbot: working to address the COVID-19 outbreak-related mental health issues in China. User experience, satisfaction, and influencing factors. Int. J. Hum.–Comput. Interact. 38(12), 1182–1194 (2022)

    Google Scholar 

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Acknowledgements

The study was supported in part by the Research Council of Norway grant no. 270940, in part by the EC H2020 grant no. 101004594, ETAPAS.

Author information

Authors and Affiliations

  1. Department of Psychology, University of Oslo, Forskningsveien 3A, 0373, Oslo, Norway

    Nadia Abbas & Cato A. Bjørkli

  2. SINTEF, Forskningsveien 1, 0373, Oslo, Norway

    Asbjørn Følstad

Authors
  1. Nadia Abbas
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  3. Cato A. Bjørkli
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Corresponding author

Correspondence to Asbjørn Følstad .

Editor information

Editors and Affiliations

  1. SINTEF, Oslo, Norway

    Asbjørn Følstad

  2. University of Amsterdam, Amsterdam, The Netherlands

    Theo Araujo

  3. CERTH-ITI, Thessaloniki, Greece

    Symeon Papadopoulos

  4. Durham University, Durham, UK

    Effie L.-C. Law

  5. University of Edinburgh, Edinburgh, UK

    Ewa Luger

  6. University of Agder, Grimstad, Norway

    Morten Goodwin

  7. University of Oslo, Oslo, Norway

    Petter Bae Brandtzaeg

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Abbas, N., Følstad, A., Bjørkli, C.A. (2023). Chatbots as Part of Digital Government Service Provision – A User Perspective. In: Følstad, A., et al. Chatbot Research and Design. CONVERSATIONS 2022. Lecture Notes in Computer Science, vol 13815. Springer, Cham. https://doi.org/10.1007/978-3-031-25581-6_5

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  • DOI: https://doi.org/10.1007/978-3-031-25581-6_5

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  • Online ISBN: 978-3-031-25581-6

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