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Understanding People’s Expectations When Designing a Chatbot for Cancer Patients

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Chatbot Research and Design (CONVERSATIONS 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 13171))

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Abstract

With the overall increase of cancer patients, there is a growing demand for better healthcare services, more patient-centred care, and more user-centred eHealth tools. Chatbots are great tools to bridge communications between health providers and patients and have already been used with success in healthcare.

In the present study, we set out to explore how people perceive a cancer chatbot and to understand preferences and expectations concerning the communication between a chatbot and newly diagnosed cancer patients. The insights from the remote co-creation sessions will enable us to design better chatbot dialogues, with human-like characteristics, that communicate with appropriate content and tone of voice.

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Notes

  1. 1.

    Cancer Fact Sheets: https://gco.iarc.fr/tomorrow/en/dataviz/isotype.

  2. 2.

    https://www.microsoft.com/pt-pt/microsoft-teams/group-chat-software.

  3. 3.

    MURAL is a digital work space for visual collaboration where participants can interact with each other: https://www.mural.co/.

References

  1. Abrahamson, K.: Dealing with cancer-related distress. Am. J. Nurs. 110(4), 67–69 (2010)

    Article  Google Scholar 

  2. Akeel, A.U., Mundy, D.: Re-thinking technology and its growing role in enabling patient empowerment. Health Inform. J. 25(4), 1278–1289 (2019). https://doi.org/10.1177/1460458217751013

    Article  Google Scholar 

  3. Andrews, B., et al.: Teaching participatory design. ACM Int. Conf. Proc. Ser. 2, 203–204 (2014). https://doi.org/10.1145/2662155.2662202

  4. Bate, P., Robert, G.: Toward more user-centric OD: lessons from the field of experience-based design and a case study. J. Appl. Behav. Sci. 43(1), 41–66 (2007). https://doi.org/10.1177/0021886306297014

    Article  Google Scholar 

  5. Beaudry, J., Consigli, A., Clark, C., Robinson, K.J.: Getting ready for adult healthcare: designing a chatbot to coach adolescents with special health needs through the transitions of care. J. Pediatr. Nurs. 49, 85–91 (2019). https://doi.org/10.1016/j.pedn.2019.09.004, https://linkinghub.elsevier.com/retrieve/pii/S0882596318306006

  6. Belfin, R.V., Shobana, A.J., Manilal, M., Mathew, A.A., Babu, B.: A graph based chatbot for cancer patients. In: 5th International Conference on Advanced Computing and Communication Systems, pp. 717–721 (2019)

    Google Scholar 

  7. Bibault, J.E., et al.: A chatbot versus physicians to provide information for patients with breast cancer: blind, randomized controlled noninferiority trial. J. Med. Internet Res. 21(11), 1–7 (2019). https://doi.org/10.2196/15787

    Article  Google Scholar 

  8. Brandtzaeg, P.B., Følstad, A.: Why people use chatbots. In: Proceedings of the 4th International Conference on Internet Science, pp. 377–392 (2017)

    Google Scholar 

  9. Chaix, B., et al.: When chatbots meet patients: one-year prospective study of conversations between patients with breast cancer and a chatbot. JMIR Cancer 5(1), e12856 (2019). https://doi.org/10.2196/12856

  10. Chen, Z., Lu, Y., Nieminen, M.P., Lucero, A.: Creating a chatbot for and with migrants: chatbot personality drives co-design activities. In: DIS 2020 - Proceedings of the 2020 ACM Designing Interactive Systems Conference, pp. 219–230 (2020). https://doi.org/10.1145/3357236.3395495

  11. Danby, S., Taylor, C.: Increasing access to citizen services with conversational AI (2020). http://www.speech-interaction.org/CSCW2020/papers/6-LeeTaylor.pdf

  12. Easton, K., et al.: A virtual agent to support individuals living with physical and mental comorbidities: co-design and acceptability testing. J. Med. Internet Res. 21(5), e12996 (2019). https://doi.org/10.2196/12996, http://www.jmir.org/2019/5/e12996/

  13. Fadhil, A., Schiavo, Gianluca Wang, Y., Yilma, B.A.: The effect of emojis when interacting with conversational interface assisted health coaching system. In: ACM International Conference Proceeding Series, pp. 378–383 (2018)

    Google Scholar 

  14. Gabrielli, S., Rizzi, S., Carbone, S., Donisi, V.: A chatbot-based coaching intervention for adolescents to promote life skills: pilot study. JMIR Hum. Fact. 7(1), 1–7 (2020). https://doi.org/10.2196/16762

    Article  Google Scholar 

  15. Greer, S., Ramo, D., Chang, Y.J., Fu, M., Moskowitz, J., Haritatos, J.: Use of the chatbot ‘vivibot’ to deliver positive psychology skills and promote well-being among young people after cancer treatment: randomized controlled feasibility trial. JMIR mHealth and uHealth 7(10), 1–13 (2019). https://doi.org/10.2196/15018

    Article  Google Scholar 

  16. Gröpper, S., van der Meer, E., Landes, T., Bucher, H., Stickel, A., Goerling, U.: Assessing cancer-related distress in cancer patients and caregivers receiving outpatient psycho-oncological counseling. Supp. Care Cancer 24(5), 2351–2357 (2015). https://doi.org/10.1007/s00520-015-3042-9

    Article  Google Scholar 

  17. Hwang, Y., Song, S., Shin, D., Lee, J.: Linguistic features to consider when applying persona of the real person to the text-based agent. In: 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services, pp. 1–4 (2020)

    Google Scholar 

  18. Jain, M., Kumar, P., Kota, R., Patel, S.N.: Evaluating and informing the design of chatbots. In: DIS 2018 - Proceedings of the 2018 Designing Interactive Systems Conference, pp. 895–906 (2018)

    Google Scholar 

  19. Jassova, B.: The ultimate guide to conversational design (2019). https://landbot.io/blog/guide-to-conversational-design/. Accessed 3 Feb 2021

  20. Jordan, M.E., et al.: The role of conversation in health care interventions: enabling sensemaking and learning. Implement. Sci. 4, 15 (2009). https://doi.org/10.1186/1748-5908-4-15

    Article  Google Scholar 

  21. Jovanovic, M., Baez, M., Casati, F.: Chatbots as conversational healthcare services. IEEE Internet Comput. 25, 44–51 (2021). https://doi.org/10.1109/MIC.2020.3037151

  22. Kataoka, Y., Takemura, T., Sasajima, M., Katoh, N.: Development and early feasibility of chatbots for educating patients with lung cancer and their caregivers in japan: mixed methods study. JMIR Cancer 7(1), 1–7 (2021). https://doi.org/10.2196/26911

    Article  Google Scholar 

  23. Khasnabish, S., Burns, Z., Couch, M., Mullin, M., Newmark, R., Dykes, P.C.: Best practices for data visualization: creating and evaluating a report for an evidence-based fall prevention program. J. Am. Med. Inform. Assoc. 27(2), 308–314 (2020). https://doi.org/10.1093/jamia/ocz190

    Article  Google Scholar 

  24. Kucherbaev, P., Psyllidis, A., Bozzon, A.: Chatbots as conversational recommender systems in urban contexts. In: Proceedings of the International Workshop on Recommender Systems for Citizens, pp. 1–2. ACM, New York, August 2017. https://doi.org/10.1145/3127325.3127331

  25. Lucas, G.M., Gratch, J., King, A., Morency, L.P.: It’s only a computer: virtual humans increase willingness to disclose. Comput. Hum. Behav. 37, 94–100 (2014). https://doi.org/10.1016/j.chb.2014.04.043

  26. McDuff, D., Czerwinski, M.: Designing emotionally sentient agents. Commun. ACM 61(12), 74–83 (2018). https://doi.org/10.1145/3186591

    Article  Google Scholar 

  27. Moran, K.: The four dimensions of tone of voice. (2016 [Nielsen Norman Group]), https://www.nngroup.com/articles/tone-of-voice-dimensions/. Accessed 09 Sep 2021

  28. Moran, K.: The impact of tone of voice on users’ brand perception (2016 [Nielsen Norman Group]), https://www.nngroup.com/articles/tone-voice-users/. Accessed 09 Sep 2021

  29. Nadarzynski, T., Miles, O., Cowie, A., Ridge, D.: Acceptability of artificial intelligence (AI)-led chatbot services in healthcare: a mixed-methods study. Digit. Health 5, 1–12 (2019). https://doi.org/10.1177/2055207619871808

    Article  Google Scholar 

  30. Narimatsu, H., Sato, A.H.E., Suganuma, N.: Preliminary screening for hereditary breast and ovarian cancer using a chatbot augmented intelligence genetic counselor (preprint). JMIR Form. Res. 5, 1–11 (2020). https://doi.org/10.2196/25184

  31. Pears, M., et al.: Co-creation of chatbots as an educational resource- training the trainers workshop. In: INTED2021 Proceedings, vol. 1, pp. 7808–7815 (2021). https://doi.org/10.21125/inted.2021.1570

  32. Piau, A., Crissey, R.B.D., Balardy, L., Nourhashemi, F.: A smartphone chatbot application to optimize monitoring of older patients with cancer. Int. J. Med. Inf. 128, 18–23 (2019). https://doi.org/10.1016/j.ijmedinf.2019.05.013

  33. Portela, M., Granell-Canut, C.: A new friend in our smartphone? observing interactions with chatbots in the search of emotional engagement. In: ACM International Conference Proceeding Series, p. F1311 (2017)

    Google Scholar 

  34. Potts, C., et al.: Chatbots to support mental wellbeing of people living in rural areas: can user groups contribute to co-design?, J. Technol. Behav. Sci. 6, 652–665 (2021). https://doi.org/10.1007/s41347-021-00222-6, https://link.springer.com/10.1007/s41347-021-00222-6

  35. Rapp, A., Curti, L., Boldi, A.: The human side of human-chatbot interaction: a systematic literature review of ten years of research on text-based chatbots. Int. J. Hum. Comput. Stud. 151, 102630 (2021). https://doi.org/10.1016/j.ijhcs.2021.102630

  36. Rosenbaum, E., Rosenbaum, I.: Coping with Cancer: Ten Steps Toward Emotional Well-Being Andrew, vol. 1 (2005). https://doi.org/10.7748/paed.1.7.6.s12

  37. Rozga, S.: Practical Bot Development, 1st edn. Apress, Berkeley (2018). https://doi.org/10.1007/978-1-4842-3540-9

  38. Siglen, E., et al.: Ask Rosa - the making of a digital genetic conversation tool, a chatbot, about hereditary breast and ovarian cancer. Patient Educ. Counsel. 0–1 (2021). https://doi.org/10.1016/j.pec.2021.09.027

  39. Smestad, T., Volden, F.: Chatbot personalities matters: improving the user experience of chatbot interfaces, pp. 170–181, April 2019. https://doi.org/10.1007/978-3-030-17705-8_15

  40. Medhi Thies, I., Menon, N., Magapu, S., Subramony, M., O’Neill, J.: How do you want your chatbot? an exploratory wizard-of-Oz study with young, urban Indians. In: Bernhaupt, R., Dalvi, G., Joshi, A., Balkrishan, D.K., O’Neill, J., Winckler, M. (eds.) INTERACT 2017. LNCS, vol. 10513, pp. 441–459. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67744-6_28

    Chapter  Google Scholar 

  41. Timplalexi, E.: The human and the chatterbot: tracing the potential of transdimensional performance. Perform. Res. 21(5), 59–64 (2016). https://doi.org/10.1080/13528165.2016.1223449

    Article  Google Scholar 

  42. Triberti, S., Savioni, L., Sebri, V., Pravettoni, G.: ehealth for improving quality of life in breast cancer patients: a systematic review. Cancer Treat. Rev. 74, 1–14 (2019). https://doi.org/10.1016/j.ctrv.2019.01.003

    Article  Google Scholar 

  43. Webb, C.: How we created global anti-harassment chatbot, Maru (2020). https://www.linkedin.com/pulse/how-we-created-global-anti-harassment-chatbot-maru-dr-charlotte-webb/

  44. Wiratunga, N., Cooper, K., Wijekoon, A., Palihawadana, C., Mendham, V., Reiter, E., Martin, K.: FitChat: conversational artificial intelligence interventions for encouraging physical activity in older adults (2020). http://arxiv.org/abs/2004.14067

  45. Wong-Villacres, M., Evans, H., Schechter, D., DiSalvo, B., Kumar, N.: Consejero automatico, January 2019. https://doi.org/10.1145/3287098.3287149

  46. Xu, X., Griva, K., Koh, M., Lum, E., Tan, W.S., Thng, S., Car, J.: Creating a smartphone app for caregivers of children with atopic dermatitis with caregivers, health care professionals, and digital health experts: participatory co-design. JMIR mHealth uHealth 8(10), e16898 (2020). https://doi.org/10.2196/16898, http://mhealth.jmir.org/2020/10/e16898/

  47. Zhang, J., Oh, Y.J., Lange, P., Yu, Z., Fukuoka, Y.: Artificial intelligence chatbot behavior change model for designing artificial intelligence chatbots to promote physical activity and a healthy diet: viewpoint. J. Med. Internet Res. 22(9) (2020). https://doi.org/10.2196/22845

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Authors and Affiliations

  1. Fraunhofer Portugal AICOS, Porto, Portugal

    Beatriz Félix & Jorge Ribeiro

Authors
  1. Beatriz Félix
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  2. Jorge Ribeiro
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Correspondence to Beatriz Félix .

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Editors and Affiliations

  1. SINTEF, Oslo, Norway

    Asbjørn Følstad

  2. VU 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. Center for Artificial Intelligence Research, University of Agder, Kristiansand, Norway

    Morten Goodwin

  7. University of Oslo, Oslo, Norway

    Petter Bae Brandtzaeg

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Félix, B., Ribeiro, J. (2022). Understanding People’s Expectations When Designing a Chatbot for Cancer Patients. In: Følstad, A., et al. Chatbot Research and Design. CONVERSATIONS 2021. Lecture Notes in Computer Science(), vol 13171. Springer, Cham. https://doi.org/10.1007/978-3-030-94890-0_3

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  • DOI: https://doi.org/10.1007/978-3-030-94890-0_3

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