Abstract
Self-screening for mental health problems is commonly used to detect and assess symptoms, as a first step in diagnosing a problem, and to give recommendations for possible treatment. This study explores the potential of conversational interfaces in providing screening services for mental health care. A chatbot was developed to perform a screening for attention deficit/hyperactivity disorder (ADHD) in adults by including the items from the Adult ADHD Self-Report Scale (ASRS). We compared the conversational chatbot interface responses with reports on the standardised paper-based ASRS, and evaluated the user interaction with the chatbot. The results showed a match between the two modalities in the screening results. Based on interviews with participants and chatlogs we discuss the challenges and user experience of doing self-screening in a conversational interface.
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American Psychiatric Association: DSM-V, 5th edn. American Psychiatric Association, Washington, DC (2013). https://doi.org/10.1176/appi.books.9780890425596.744053
Bickmore, T.W., Caruso, L., Clough-Gorr, K., Heeren, T.: ‘It’s just like you talk to a friend’ relational agents for older adults. Interact. Comput. 17(6), 711–735 (2005). https://doi.org/10.1016/j.intcom.2005.09.002
Bickmore, T.W., et al.: Usability of conversational agents by patients with inadequate health literacy: evidence from two clinical trials. J. Health Commun. 15(Suppl. 2), 197–210 (2010). https://doi.org/10.1080/10810730.2010.499991
Bickmore, T.W., Utami, D., Matsuyama, R., Paasche-Orlow, M.K.: Improving access to online health information with conversational agents: a randomized controlled experiment. J. Med. Internet Res. 18(1), e1 (2016). https://doi.org/10.2196/jmir.5239
Brandtzæg, P.B., Følstad, A.: Chatbots: changing user needs and motivations. ACM Interact. 25(5), 38–43 (2018). https://doi.org/10.1145/3236669
Braun, D., Hernandez-Mendez, A., Matthes, F., Langen, M.: Evaluating natural language understanding services for conversational question answering systems. In: Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, pp. 174–185. Association for Computational Linguistics, Saarbrücken (2017). https://doi.org/10.18653/v1/W17-5522
Clarke, G., et al.: Overcoming depression on the Internet (ODIN) (2): a randomized trial of a self-help depression skills program with reminders. J. Med. Internet Res. 7(2), e16 (2005). https://doi.org/10.2196/jmir.7.2.e16
Fischer, M., Lam, M.: From books to bots: using medical literature to create a chat bot. In: Proceedings of the First Workshop on IoT-enabled Healthcare and Wellness Technologies and Systems, IoT of Health 2016, pp. 23–28. ACM, New York (2016). https://doi.org/10.1145/2933566.2933573
Fitzpatrick, K.K., Darcy, A., Vierhile, M.: Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (Woebot): a randomized controlled trial. JMIR Mental Health 4(2), e19 (2017). https://doi.org/10.2196/mental.7785
Følstad, A., Brandtzæg, P.B.: Chatbots and the new world of HCI. Interactions 24(4), 38–42 (2017). https://doi.org/10.1145/3085558
Hoeper, E., Kessler, L., Nycz, G., Burke, J., Pierce, W.: The usefulness of screening for mental illness. Lancet 323(8367), 33–35 (1984). https://doi.org/10.15713/ins.mmj.3
Kennedy, C.M., Powell, J., Payne, T.H., Ainsworth, J., Boyd, A., Buchan, I.: Active assistance technology for health-related behavior change: an interdisciplinary review. J. Med. Internet Res. 14(3), e80 (2012). https://doi.org/10.2196/jmir.1893
Kessler, R.C., et al.: The world health organization adult ADHD self-report scale (ASRS). Psychol. Med. 35(2), 245–256 (2005). https://doi.org/10.1017/S0033291704002892
Kessler, R., Barker, P., Colpe, L.: Screening for serious mental illness in the general population. Arch. Gen. Psychiatry 60(2), 184–189 (2003). https://doi.org/10.1001/archpsyc.60.2.184
Kessler, R.C., Adler, L., Barkley, R.: The prevalence and correlates of adult ADHD in the United States: results from the National Comorbidity Survey Replication. Am. J. Psychiatry 163(4), 716–723 (2006). https://doi.org/10.1176/ajp.2006.163.4.716
Kim, E., Coumar, A., Lober, W.B., Kim, Y.: Addressing mental health epidemic among university students via web-based, self-screening, and referral system: a preliminary study. IEEE Trans. Inf. Technol. Biomed. 15(2), 301–307 (2011). https://doi.org/10.1109/TITB.2011.2107561
Luger, E., Sellen, A.: Like having a really bad PA. In: 2016 CHI Conference on Human Factors in Computing Systems - CHI 2016, pp. 5286–5297. ACM Press, New York (2016). https://doi.org/10.1145/2858036.2858288
McTear, M., Callejas, Z., Griol, D.: The dawn of the conversational interface. In: McTear, M., Callejas, Z., Griol, D. (eds.) The Conversational Interface, pp. 11–24. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-32967-3_2
Piccolo, L., Mensio, M., Alani, H.: Chasing the chatbots. Directions for interaction and design research. In: Proceedings of Internet Science 2018. Lecture Notes in Computer Science. Springer (in press)
Saitz, R., Helmuth, E.D., Aromaa, S.E., Guard, A., Belanger, M., Rosenbloom, D.L.: Web-based screening and brief intervention for the spectrum of alcohol problems. Prev. Med. 39(5), 969–975 (2004). https://doi.org/10.1016/j.ypmed.2004.04.011
Shawar, B.A., Atwell, E.S.: Using corpora in machine-learning chatbot systems. Int. J. Corpus Linguist. 10(4), 489–516 (2005). https://doi.org/10.1075/ijcl.10.4.06sha
van Straten, A., Cuijpers, P., Smits, N.: Effectiveness of a web-based self-help intervention for symptoms of depression, anxiety, and stress: randomized controlled trial. J. Med. Internet Res. 10(1), e7 (2008). https://doi.org/10.2196/jmir.954
Wang, C., et al.: Acceptability and feasibility of a virtual counselor (VICKY) to collect family health histories. Genet. Med. 17, 822 (2015). https://doi.org/10.1038/gim.2014.198
Zimmerman, J., Forlizzi, J., Evenson, S.: Research through design as a method for interaction design research in HCI. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2007, pp. 493–502. ACM, New York (2007). https://doi.org/10.1145/1240624.1240704
Acknowledgements
This research has been carried out through the INTROMAT project, project code 259293/O70, funded by NFR – the Norwegian Research Council. IBM is an industry partner to INTROMAT. The authors would like to express gratitude for the careful reading and suggestions for improvement from the four anonymous reviewers. We also thank the participants that tested ROB.
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Håvik, R., Wake, J.D., Flobak, E., Lundervold, A., Guribye, F. (2019). A Conversational Interface for Self-screening for ADHD in Adults. In: Bodrunova, S., et al. Internet Science. INSCI 2018. Lecture Notes in Computer Science(), vol 11551. Springer, Cham. https://doi.org/10.1007/978-3-030-17705-8_12
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