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Automated Explanation of Research Informed Consent by Virtual Agents

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Intelligent Virtual Agents (IVA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9238))

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Abstract

A virtual agent that explains research informed consent documents to study volunteers is described, along with a series of development efforts and evaluation studies. A study of nurse administration of informed consent finds that human explanations follow the structure of the document, and that much of information provided verbally is not contained in the document at all. A study of pedagogical strategies used by a virtual consent agent finds that automatic tailoring of document content based on users’ knowledge receives the highest ratings of satisfaction compared to two control conditions that provided fixed amounts of information. We finally report on an approach that lets clinicians construct their own virtual agents for informed consent, along with a study that finds that nurses are able to use the system to develop and extend agents to explain their own study consent forms.

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Notes

  1. 1.

    The panel that reviews and approves human subjects studies at each institution to meet US federal requirements.

References

  1. Sugarman, J., et al.: Empirical research on informed consent. An annotated bibliography. Hastings Cent. Rep. 29(1), S1–S42 (1999)

    Article  Google Scholar 

  2. Smith, T., Moore, E.J., Tunstall-Pedoe, H.: Review by a local medical research ethics committee of the conduct of approved research projects, by examination of patients’ case notes, consent forms, and research records and by interview. BMJ 314(7094), 1588–1590 (1997)

    Article  Google Scholar 

  3. Ad Hoc Committee on Health Literacy for the Council on Scientific Affairs, A.M.A.: Health literacy: report of the council on scientific affairs. JAMA 281(6), 552–557 (1999)

    Article  Google Scholar 

  4. Joffe, S., et al.: Quality of informed consent in cancer clinical trials: a cross-sectional survey. Lancet 358(9295), 1772–1777 (2001)

    Article  Google Scholar 

  5. Madden, E.: Evaluation of outpatient pharmacy patient counseling. J. Am. Pharm. Assoc. 13, 437–443 (1973)

    Google Scholar 

  6. Qualls, C., Harris, J., Rogers, W.: Cognitive-linguistic aging: considerations for home health care environments. In: Rogers, W., Fisk, A. (eds.) Human Factors Interventions for the Health Care of Older Adults, pp. 47–67. Lawrence Erlbaum, Mahwah (2002)

    Google Scholar 

  7. Clark, H.H., Brennan, S.E.: Grounding in communication. In: Resnick, L.B., Levine, J.M., Teasley, S.D. (eds.) Perspectives on Socially Shared Cognition, pp. 127–149. American Psychological Association, Washington (1991)

    Chapter  Google Scholar 

  8. Doak, C., Doak, L., Root, J.: Teaching Patients with Low Literacy Skills, 2nd edn. JB Lippincott, Philadelphia (1996)

    Google Scholar 

  9. Schillinger, D., et al.: Closing the loop: physician communication with diabetic patients who have low health literacy. Arch. Intern. Med. 163(1), 83–90 (2003)

    Article  Google Scholar 

  10. Cassell, J., Vilhjálmsson, H., Bickmore, T.: BEAT: the behavior expression animation toolkit. In: SIGGRAPH 2001, Los Angeles (2001)

    Google Scholar 

  11. Graesser, A., et al.: AutoTutor: a simulation of a human tutor. Cogn. Syst. Res. 1(1), 35–51 (1999)

    Article  MathSciNet  Google Scholar 

  12. Andre, E., Rist, T., Muller, J.: Integrating reactive and scripted behaviors in a life-like presentation agent. In: Proceedings of AGENTS 1998, pp. 261–268 (1998)

    Google Scholar 

  13. Person, N.K., et al.: Evaluating student learning gains in two versions of AutoTutor. In: Moore, J.D., Redfield, C.L., Johnson, W.L. (eds.) Artificial intelligence in education: AI-ED in the wired and wireless future, pp. 286–293. IOS Press, Amsterdam (2001)

    Google Scholar 

  14. Bickmore, T., Pfeifer, L., Jack, B.W.: Taking the time to care: empowering low health literacy hospital patients with virtual nurse agents. In: Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), Boston (2009)

    Google Scholar 

  15. Zhou, S., Bickmore, T., Paasche-Orlow, M., Jack, B.: Agent-user concordance and satisfaction with a virtual hospital discharge nurse. In: Bickmore, T., Marsella, S., Sidner, C. (eds.) IVA 2014. LNCS, vol. 8637, pp. 528–541. Springer, Heidelberg (2014)

    Google Scholar 

  16. Bickmore, T., Pfeifer, L., Paasche-Orlow, M.: Using computer agents to explain medical documents to patients with low health literacy. Patient Educ. Couns. 75(3), 315–320 (2009)

    Article  Google Scholar 

  17. Fernando, R.: Automated Explanation of Research Informed Consent by Embodied Conversational Agents, in College of Computer and Information Science. Northeastern University, Boston (2009)

    Google Scholar 

  18. Bickmore, T., Pfeifer, L., Yin, L.: The role of gesture in document explanation by embodied conversational agents. Int. J. Semant. Comput. 2(1), 47–70 (2008)

    Article  Google Scholar 

  19. Davis, T., et al.: Rapid estimate of adult literacy in medicine: a shortened screening instrument. Fam. Med. 25, 391–395 (1993)

    Google Scholar 

  20. Sugarman, J., et al.: Evaluating the quality of informed consent. Clin. Trials 2(1), 34–41 (2005)

    Article  Google Scholar 

  21. Walsh, N.: DocBook 5: The Definitive Guide. O’Reilly Associates, Sebastopol (2010)

    Google Scholar 

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Acknowledgments

This work was supported, in part, by National Institutes of Health National Cancer Institute (NCI) Grant R01CA158219.

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Correspondence to Timothy Bickmore .

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Bickmore, T., Utami, D., Zhou, S., Sidner, C., Quintiliani, L., Paasche-Orlow, M.K. (2015). Automated Explanation of Research Informed Consent by Virtual Agents. In: Brinkman, WP., Broekens, J., Heylen, D. (eds) Intelligent Virtual Agents. IVA 2015. Lecture Notes in Computer Science(), vol 9238. Springer, Cham. https://doi.org/10.1007/978-3-319-21996-7_26

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  • DOI: https://doi.org/10.1007/978-3-319-21996-7_26

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