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Research Articles

What to Discuss?—A Blueprint Topic Model for Health Coaching Dialogues With Conversational Agents

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 164-182 | Received 17 Jun 2021, Accepted 10 Feb 2022, Published online: 09 May 2022

References

  • Abdullah, A., Gaehde, S., & Bickmore, T. (2018). A tablet based embodied conversational agent to promote smoking cessation among veterans: A feasibility study. Journal of Epidemiology and Global Health, 8(3–4), 225–230. https://doi.org/10.2991/j.jegh.2018.08.104
  • Achterkamp, R., Cabrita, M., Op den Akker, H., Hermens, H., Vollenbroek-Hutten, M. (2013). Promoting a Healthy Lifestyle: Towards an Improved Personalized Feedback Approach. 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013 (Healthcom), 725–727. IEEE.
  • Andersson, G., Carlbring, P., Berger, T., Almlöv, J., & Cuijpers, P. (2009). What makes internet therapy work? Cognitive Behaviour Therapy, 38(1), 55–60. https://doi.org/10.1080/16506070902916400
  • Beinema, T. (2021). Tailoring coaching conversations with virtual health coaches. [Ph.D. thesis]. University of Twente. https://doi.org/10.3990/1.9789036552608
  • Beinema, T., Davison, D., Reidsma, D., Banos, O., Bruijnes, M., & Donval, B. (2021). Agents United: An open platform for multi-agent conversational systems. In IVA ’21: Proceedings of the 21st ACM International Conference on Intelligent Virtual Agents (pp. 17–24). ACM.
  • Beinema, T., Op den Akker, H., Hurmuz, M., Jansen-Kosterink, S., & Hermens, H. (2022). Automatic topic selection for long-term interaction with embodied conversational agents in health coaching: A micro-randomized trial. Internet Interventions, 27(3), 100502. https://doi.org/10.1016/j.invent.2022.100502
  • Beinema, T., op den Akker, H., Hofs, D., & van Schooten, B. (2022a). The WOOL dialogue platform: Enabling interdisciplinary user-friendly development of dialogue for conversational agents [version 1; peer review: 1 approved, 1 approved with reservations]. Open Research Europe, 2(7), 1–15. https://doi.org/10.12688/openreseurope.14279.1
  • Beinema, T., op den Akker, H., Velsen, L., & van Hermens, H. (2021). Tailoring coaching strategies to users’ motivation in a multi-agent health coaching application. Computers in Human Behavior, 121(8), 106787. https://doi.org/10.1016/j.chb.2021.106787
  • Benítez-Guijarro, A., Ruiz-Zafra, A., Callejas, Z., Medina-Medina, N., Benghazi, K., & Noguera, M. (2018). General architecture for development of virtual coaches for healthy habits monitoring and encouragement. Sensors, 19(1), 108. https://doi.org/10.3390/s19010108
  • Beun, R. J., Brinkman, W.-P., Fitrianie, S., Griffioen-Both, F., Horsch, C., & Lancee, J. (2016). Improving adherence in automated e-coaching. A case from insomnia therapy. In International conference on persuasive technology (Vol. 9638, pp. 276–287). Springer.
  • Beun, R. J., Fitrianie, S., Griffioen-Both, F., Spruit, S., Horsch, C., Lancee, J., & Brinkman, W.-P. (2017). Talk and tools: the best of both worlds in mobile user interfaces for e-coaching. Personal and Ubiquitous Computing, 21(4), 661–674. https://doi.org/10.1007/s00779-017-1021-5
  • Beun, R. J., Griffioen-Both, F., Ahn, R., Fitrianie, S., & Lancee, J. (2014). Modeling interaction in automated e-coaching: A case from insomnia therapy. In COGNITIVE 2014, The Sixth International Conference on Advanced Cognitive Technologies and Applications (MAY), 1–4. IARIA XPS Press.
  • Bickmore, T. (2010). Relational agents for chronic disease self management. In B. M. Hayes & W. Aspray, (Eds.), Health informatics: A patient-centered approach to diabetes (pp. 181–204). MIT Press.
  • Bickmore, T., & Giorgino, T. (2006). Health dialog systems for patients and consumers. Journal of Biomedical Informatics, 39(5), 556–571.
  • Bickmore, T., & Picard, R. (2005). Establishing and maintaining long-term human-computer relationships. ACM Transactions on Computer-Human Interaction, 12(2), 293–327. https://doi.org/10.1145/1067860.1067867
  • Bickmore, T., Gruber, A., & Picard, R. (2005). Establishing the computer - patient working alliance in automated health behavior change interventions. Patient Education and Counseling, 59(1), 21–30. https://doi.org/10.1016/j.pec.2004.09.008
  • Bickmore, T., Mauer, D., Crespo, F., & Brown, T. (2008). Negotiating task interruptions with virtual agents for health behavior change. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 3, 1217–1220.
  • Bickmore, T., Schulman, D., & Sidner, C. (2011). A reusable framework for health counseling dialogue systems based on a behavioral medicine ontology. Journal of Biomedical Informatics, 44(2), 183–197. https://doi.org/10.1016/j.jbi.2010.12.006
  • Bickmore, T., Schulman, D., & Sidner, C. (2013). Automated interventions for multiple health behaviors using conversational agents. Patient Education and Counseling, 92(2), 142–148. https://doi.org/10.1016/j.pec.2013.05.011
  • Bickmore, T., Schulman, D., & Yin, L. (2010). Maintaining engagement in long-term interventions with relational agents. Applied Artificial Intelligence : AAI, 24(6), 648–666. https://doi.org/10.1080/08839514.2010.492259
  • Bickmore, T. W., Silliman, R. A., Nelson, K., Cheng, D. M., Winter, M., Henault, L., & Paasche-Orlow, M. K. (2013). A randomized controlled trial of an automated exercise coach for older adults. Journal of the American Geriatrics Society, 61(10), 1676–1683. https://doi.org/10.1111/jgs.12449
  • Bickmore, T., Trinh, H., Asadi, R., & Olafsson, S. (2018). Safety first: Conversational agents for health care. In Studies in conversational UX design (pp. 33–57). Springer.
  • Brinkman, W.-P. (2016). Virtual health agents for behavior change: Research perspectives and directions. In Proceedings of the Workshop on Graphical and Robotic Embodied Agents for Therapeutic Systems (GREATS16) Held During the International Conference on Intelligent Virtual Agents (IVA16) (pp. 1–17). http://ii.tudelft.nl/willem-paul/. Online at http://www.macs.hw.ac.uk/∼ruth/greats16-programme
  • Buimer, H., Tabak, M., van Velsen, L., van Geest, T., & van der Hermens, H. (2017). Exploring determinants of patient adherence to a portal-supported oncology rehabilitation program: Interview and data log analyses. JMIR Rehabilitation and Assistive Technologies, 4(2), e12. https://doi.org/10.2196/rehab.6294
  • Callejas, Z., Griol, D., McTear, M., & López-Cózar, R. (2014). A virtual coach for active ageing based on sentient computing and m-health. In International workshop on ambient assisted living (pp. 59–66). Springer.
  • Castonguay, L., Constantino, M., & Holtforth, M. G. (2006). The working alliance: Where are we and where should we go? Psychotherapy: Theory, Research, Practice, Training, 43(3), 271–279. https://doi.org/10.1037/0033-3204.43.3.271
  • Chalaguine, L. A., Hunter, A., Potts, H., & Hamilton, F. (2019). Impact of argument type and concerns in argumentation with a chatbot. In Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI (pp. 1557–1562). IEEE.
  • de Kok, I., Hough, J., Frank, C., Schlangen, D., & Kopp, S. (2014). Dialogue structure of coaching sessions. In Proceedings of the 18th SemDial Workshop on the Semantics and Pragmatics of Dialogue (DialWatt) (pp. 167–169). SemDial. http://pub.uni-bielefeld.de/download/2685764/2706495
  • de Vries, R., Truong, K., Kwint, S., Drossaert, C., & Evers, V. (2016). Crowd-designed motivation: Motivational messages for exercise adherence based on behavior change theory. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (pp. 297–308). ACM.
  • de Vries, R., Truong, K., Zaga, C., Li, J., & Evers, V. (2017). A word of advice: How to tailor motivational text messages based on behavior change theory to personality and gender. Personal and Ubiquitous Computing, 21(4), 675–687. https://doi.org/10.1007/s00779-017-1025-1
  • DeSmet, A., De Bourdeaudhuij, I., Chastin, S., Crombez, G., Maddison, R., & Cardon, G. (2019). Adults’ preferences for behavior change techniques and engagement features in a mobile app to promote 24-hour movement behaviors: Cross-sectional survey study. Journal of Medical Internet Research, 7(12), e15707. https://doi.org/10.2196/15707
  • Edwards, E. A., Lumsden, J., Rivas, C., Steed, L., Edwards, L. A., Thiyagarajan, A., Sohanpal, R., Caton, H., Griffiths, C. J., Munafò, M. R., Taylor, S., & Walton, R. T. (2016). Gamification for health promotion: Systematic review of behaviour change techniques in smartphone apps. BMJ Open, 6(10), e012447. https://doi.org/10.1136/bmjopen-2016-012447
  • Fadhil, A., Wang, Y., & Reiterer, H. (2019). Assistive conversational agent for health coaching: A validation study. Methods of Information in Medicine, 58(1), 9–23. https://doi.org/10.1055/s-0039-1688757
  • Fan, H., & Poole, M. S. (2006). What is personalization? Perspectives on the design and implementation of personalization in information systems. Journal of Organizational Computing and Electronic Commerce, 16(3), 179–202. https://doi.org/10.1207/s15327744joce1603&4_2
  • Fitrianie, S., Griffioen-Both, F., Spruit, S., Lancee, J., & Beun, R. J. (2015). Automated dialogue generation for behavior intervention on mobile devices. Procedia Computer Science, 63(Icth), 236–243. https://doi.org/10.1016/j.procs.2015.08.339
  • Fogg, B. (2002). Persuasive technology: Using computers to change what we think and do. Ubiquity, 2002(December), 2. https://doi.org/10.1145/764008.763957
  • Følstad, A., & Brandtzaeg, P. B. (2017). Chatbots and the new world of HCI. Interactions, 24(4), 38–42. https://doi.org/10.1145/3085558
  • Gardiner, P. M., McCue, K. D., Negash, L. M., Cheng, T., White, L. F., Yinusa-Nyahkoon, L., Jack, B. W., & Bickmore, T. W. (2017). Engaging women with an embodied conversational agent to deliver mindfulness and lifestyle recommendations: A feasibility randomized control trial. Patient Education and Counseling, 100(9), 1720–1729. https://doi.org/10.1016/j.pec.2017.04.015
  • Glas, N., & Pelachaud, C. (2018). Topic management for an engaging conversational agent. International Journal of Human-Computer Studies, 120(June), 107–124. https://doi.org/10.1016/j.ijhcs.2018.07.007
  • Gross, C., Schachner, T., Hasl, A., Kohlbrenner, D., Clarenbach, C. F., Wangenheim, F. V., & Kowatsch, T. (2021). Personalization of conversational agent-patient interaction styles for chronic disease management: Two consecutive cross-sectional questionnaire studies. Journal of Medical Internet Research, 23(5), e26643. https://doi.org/10.2196/26643
  • Gupta, I., Di Eugenio, B., Ziebart, B., Liu, B., Gerber, B., & Sharp, L. (2018). Towards building a virtual assistant health coach. In Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018 (pp. 419–421). IEEE.
  • Horvath, A., & Greenberg, L. (1989). Development and validation of the working alliance inventory. Journal of Counseling Psychology, 36(2), 223–233. https://doi.org/10.1037/0022-0167.36.2.223
  • Hurmuz, M. Z., Jansen-Kosterink, S. M., Op den Akker, H., & Hermens, H. J. (2020). User experience and potential health effects of a conversational agent-based electronic health intervention: Protocol for an observational cohort study. JMIR Research Protocols, 9(4), e16641. https://doi.org/10.2196/16641
  • Janz, N., & Becker, M. (1984). The Health Belief Model: A decade later. Health Education Quarterly, 11(1), 1–47. https://doi.org/10.1177/109019818401100101
  • Jofré, N., Rodríguez, G., Alvarado, Y., Fernández, J., & Guerrero, R. (2018). Natural user interfaces: A physical activity trainer. In A. E. De Giusti (Ed.), Computer Science – CACIC 2017 (pp. 122–131). Springer International Publishing.
  • Kaptein, M., Ruyter, B., de Markopoulos, P., & Aarts, E. (2012). Adaptive persuasive systems: A study of tailored persuasive text messages to reduce snacking. ACM Transactions on Interactive Intelligent Systems, 2(2), 1–25. https://doi.org/10.1145/2209310.2209313
  • King, A. C., Campero, I., Sheats, J. L., Castro Sweet, C. M., Garcia, D., Chazaro, A., Blanco, G., Hauser, M., Fierros, F., Ahn, D. K., Diaz, J., Done, M., Fernandez, J., & Bickmore, T. (2017). Testing the comparative effects of physical activity advice by humans vs. computers in underserved populations: The compass trial design, methods, and baseline characteristics. Contemporary Clinical Trials, 61(July), 115–125. https://doi.org/10.1016/j.cct.2017.07.020
  • Klein, M., Mogles, N., & van Wissen, A. (2013). An intelligent coaching system for therapy adherence. IEEE Pervasive Computing, 12(3), 22–30. https://doi.org/10.1109/MPRV.2013.41
  • Kowatsch, T., Nißen, M., Rüegger, D., Stieger, M., Flückiger, C., & Allemand, M. (2018). The impact of interpersonal closeness cues in text-based healthcare chatbots on attachment bond and the desire to continue interacting: An experimental design. In Proceedings of the 26th European Conference on Information Systems: Beyond Digitization - Facets of Socio-Technical Change, ECIS 2018. AIS.
  • Kramer, L., Ter Stal, S., Mulder, B., de Vet, E., & van Velsen, L. (2020). Developing embodied conversational agents for coaching people in a healthy lifestyle: Scoping review. Journal of Medical Internet Research, 22(2), e14058. https://doi.org/10.2196/14058
  • Krämer, N., Hoffmann, L., & Kopp, S. (2010). Know your users! Empirical results for tailoring an agent’s nonverbal behavior to different user groups. In International Conference on Intelligent Virtual Agents (pp. 468–474). Springer.
  • Krebs, P., Prochaska, J., & Rossi, J. (2010). A meta-analysis of computer-tailored interventions for health behavior change. Preventive Medicine, 51(3–4), 214–221. https://doi.org/10.1016/j.ypmed.2010.06.004
  • Laranjo, L., Dunn, A. G., Tong, H. L., Kocaballi, A. B., Chen, J., Bashir, R., Surian, D., Gallego, B., Magrabi, F., Lau, A. Y. S., & Coiera, E. (2018). Conversational agents in healthcare: A systematic review. Journal of the American Medical Informatics Association : JAMIA, 25(9), 1248–1258. https://doi.org/10.1093/jamia/ocy072
  • Locke, E., & Latham, G. (2002). Building a practically useful theory of goal setting and task motivation: A 35-year odyssey. American Psychologist, 57(9), 705–717. https://doi.org/10.1037/0003-066X.57.9.705
  • McTear, M., Callejas, Z., & Griol, D. (2016). Evaluating the conversational interface. In The Conversational Interface (pp. 379--402). Springer, Cham.
  • Michie, S., Richardson, M., Johnston, M., Abraham, C., Francis, J., Hardeman, W., Eccles, M. P., Cane, J., & Wood, C. E. (2013). The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behavior change interventions. Annals of Behavioral Medicine : A Publication of the Society of Behavioral Medicine, 46(1), 81–95. https://doi.org/10.1007/s12160-013-9486-6
  • Miltenberger, R. (2008). Behaviour modification: Principles and practices. Thompson Wadsworth.
  • Montenegro, C., López Zorrilla, A., Mikel Olaso, J., Santana, R., Justo, R., Lozano, J. A., & Torres, M. I. (2019). A dialogue-act taxonomy for a virtual coach designed to improve the life of elderly. Multimodal Technologies and Interaction, 3(3), 52. https://doi.org/10.3390/mti3030052
  • Nass, C., Steuer, J., & Tauber, E. (1994). Computer are social actors. In Conference on Human Factors in Computing Systems - Proceedings (pp. 72–78). ACM.
  • Nijland, N. (2011). Grounding eHealth - towards a holistic framework for sustainable eHealth technologies (Tech. Rep) [PhD thesis]. University of Twente.
  • Norman, P., Boer, H., & Seydel, E. (2005). Protection motivation theory. In Predicting health behaviour: Research and practice with social cognition models (pp. 81–126). Open University Press.
  • Oinas-Kukkonen, H., & Harjumaa, M. (2009). Persuasive systems design: Key issues, process model, and system features. Communications of the Association for Information Systems, 24(1), 485–500. https://doi.org/10.17705/1CAIS.02428
  • Olafsson, S., O’Leary, T., & Bickmore, T. (2019). Coerced change-talk with conversational agents promotes confidence in behavior change. In ACM International Conference Proceeding Series (pp. 31–40). ACM.
  • Op den Akker, H., Jones, V., & Hermens, H. (2014). Tailoring real-time physical activity coaching systems: a literature survey and model. User Modeling and User-Adapted Interaction, 24(5), 351–392. https://doi.org/10.1007/s11257-014-9146-y
  • Op den Akker, H., Op den Akker, R., Beinema, T., Banos, O., Heylen, D., & Pease, A. (2018). Council of Coaches: A novel holistic behavior change coaching approach. In Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AgeingWell 2018) (pp. 978–989). SciTePress. https://doi.org/10.5220/0006787702190226
  • Op den Akker, R., Klaassen, R., & Nijholt, A. (2016). Virtual coaches for healthy lifestyle. In Intelligent Systems Reference Library 106 toward Robotic Socially Believable Behaving Systems - Volume II (pp. 121–149). Springer.
  • Perski, O., Blandford, A., West, R., & Michie, S. (2017). Conceptualising engagement with digital behaviour change interventions: A systematic review using principles from critical interpretive synthesis. Translational Behavioral Medicine, 7(2), 254–267. https://doi.org/10.1007/s13142-016-0453-1
  • Proven By Users LLC. (2021). Proven By Users: Card Sort. Accessed August 2022, at www.provenbyusers.com.
  • Richards, D., & Caldwell, P. (2017). An empathic virtual medical specialist: It’s not what you say but how you say it. In VSMM ’17: The 23rd International Conference on Virtual System & Multimedia (pp. 1–8). IEEE.
  • Richards, D., & Caldwell, P. (2018). Improving health outcomes sooner rather than later via an interactive website and virtual specialist. IEEE Journal of Biomedical and Health Informatics, 22(5), 1699–1706.
  • Riou, M. (2015). A methodology for the identification of topic transitions in interaction. Discours, 16, 3--28. https://doi.org/10.4000/discours.8997
  • Ruttkay, Z., & van Welbergen, H. (2008). Elbows higher! Performing, observing and correcting exercises by a virtual trainer. In IVA '08: Proceedings of the 8th international Conference on Intelligent Virtual Agents (pp. 409–416). ACM. https://doi.org/10.1007/978-3-540-85483-8_41
  • Ryan, K., Dockray, S., & Linehan, C. (2019). A systematic review of tailored ehealth interventions for weight loss. Digital Health, 5(2), 205520761982668–205520761982629. https://doi.org/10.1177/2055207619826685
  • Schulman, D., & Bickmore, T. (2009). Persuading users through counseling dialogue with a conversational agent. In Proceedings of the 4th International Conference on Persuasive Technology (Vol. 350). ACM.
  • Schwarzer, R., Lippke, S., & Luszczynska, A. (2011). Mechanisms of health behavior change in persons with chronic illness or disability: The Health Action Process Approach (HAPA). Rehabilitation Psychology, 56(3), 161–170. https://doi.org/10.1037/a0024509
  • Sebastian, J., & Richards, D. (2017). Changing stigmatizing attitudes to mental health via education and contact with embodied conversational agents. Computers in Human Behavior, 73(8), 479–488. https://doi.org/10.1016/j.chb.2017.03.071
  • Smith, C., Charlton, D., Zhang, L., Cavazza, M., Hakulinen, J., & Turunen, M. (2008). An embodied conversational agent as a lifestyle advisor. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 3(AAMAS) (pp. 1663–1664). ACM.
  • Smith, C., Crook, N., Charlton, D., Boye, J., de la Camara, R. S., Turunen, M., Benyon, D., Gambäck, B., Mival, O., Webb, N., & Cavazza, M. (2011). Interaction strategies for an affective conversational agent. Presence: Teleoperators and Virtual Environments, 20(5), 395–411. https://doi.org/10.1162/PRES_a_00063
  • Snaith, M., De Franco, D., Beinema, T., Op den Akker, H., & Pease, A. (2018). A dialogue game for multi-party goal-setting in health coaching (Vol. 305). University of Dundee.
  • Snaith, M., Lawrence, J., Pease, A., & Reed, C. (2020). A modular platform for argument and dialogue. IOS Press.
  • Starr, J. (2008). The coaching manual: The definitive guide to the process, principles, and skills of personal coaching. Pearson Education.
  • Ter Stal, S., Broekhuis, M., van Velsen, L., Hermens, H., & Tabak, M. (2020). Embodied conversational agent appearance for health assessment of older adults: Explorative study. JMIR Human Factors, 7(3), e19987. https://doi.org/10.2196/19987
  • Uribe, J., Duitama, J., & Gaviria Gómez, N. (2011). Personalized message emission in a mobile application for supporting therapeutic adherence. In 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011 (pp. 15–20). IEEE.
  • van Velsen, L., Broekhuis, M., Jansen-Kosterink, S., & Op den Akker, H. (2019). Tailoring persuasive ehealth strategies for older adults on the basis of personal motivation: An online survey. Journal of Medical Internet Research, 21(9), e11759. https://doi.org/10.2196/11759
  • van Velsen, L., Cabrita, M., Op den Akker, H., Brandl, L., Isaac, J., Suárez, M., Gouveia, A., Dinis de Sousa, R., Rodrigues, A. M., Canhão, H., Evans, N., Blok, M., Alcobia, C., & Brodbeck, J. (2020). Leaves (optimizing the mental health and resilience of older adults that have lost their spouse via blended, online therapy): Proposal for an online service development and evaluation. JMIR Research Protocols, 9(9), e19344. https://doi.org/10.2196/19344
  • Wangberg, S. C., Bergmo, T. S., & Johnsen, J.-A K. (2008). Adherence in internet-based interventions. Patient Preference and Adherence, 2(2), 57–66.
  • Watson, A., Bickmore, T., Cange, A., Kulshreshtha, A., & Kvedar, J. (2012). An internet-based virtual coach to promote physical activity adherence in overweight adults: Randomized controlled trial. Journal of Medical Internet Research, 14(1), e1. https://doi.org/10.2196/jmir.1629
  • Yasavur, U., Lisetti, C., & Rishe, N. (2013). Modeling brief alcohol intervention dialogue with MDPs for delivery by ECAs. In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8108 LNAI (pp. 92–105). ACM.
  • Zhang, Z., & Bickmore, T. (2018). Medical shared decision making with a virtual agent. In Proceedings of the 18th International Conference on Intelligent Virtual Agents, IVA 2018 (pp. 113–118). ACM.