PubMed Health⌕ Search

PubMed · 16564749

How to write health dialog for a talking computer.

Abstract

Automated dialogue systems delivered over the telephone offer a promising approach to delivering health-related interventions to populations of individuals at low-cost. Over the past two decades, an automated telephone system called Telephone-Linked Care or TLC has been successfully designed and evaluated by the authors and their colleagues. This work has resulted in over twenty systems for various health-related conditions and lifestyle behaviors. This paper describes our approach to developing and writing dialogue for these automated telephone systems, including determining the program objectives, defining the target population, and selecting a theory of behavior change to guide the intervention. Both macro and micro issues are considered in constructing dialogue systems that are engaging for the target population, easy to use, and effective at promoting positive health behaviors and outcomes.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Jeffrey P Migneault, Ramesh Farzanfar, Julie A Wright, Robert H Friedman. 2006-02-23. How to write health dialog for a talking computer.. https://doi.org/10.1016/j.jbi.2006.02.009

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Information-sharing among couples considering multifetal pregnancy reduction.

OBJECTIVE: To determine the information-sharing strategies of couples considering fetal reduction, and the impact of these strategies on the chances of encountering hostility in their social networks. DESIGN: Cross-sectional design of semistructured qualitative interviews, coded with respect to sharing strategies and level of personally directed hostility encountered. SETTING: Multiple Pregnancy Management Program, Comprehensive Genetics, New York, New York. PATIENT(S) AND INTERVENTION(S): Fifty women and their partners who were making a first visit to our maternal-fetal management facility, in order to consider the possibility of multifetal reduction as a pregnancy-management strategy. MAIN OUTCOME MEASURE(S): Development of information-sharing strategies, and the chances of encountering personally directed hostility regarding multifetal reduction associated with more and less selective strategies. RESULT(S): Four information-sharing strategies emerged from the analysis. Two of these strategies were relatively open (extended network, and both parents). Two other strategies were relatively selective (qualified family and friends, and defended relationship). The selective strategies were significantly less likely to encounter to encounter personally directed hostility (odds ratio, 3.88; 95% confidence intervals, 0.87-17.30). CONCLUSION(S): Selective sharing of information for couples considering multifetal prgnancy reduction is a potentially useful strategy for moderating potentially stressful relationships in their social networks. Clinics should find a way of integrating the discussion of selective sharing into their clinic's cultural repertoire of patient-support services.

Communication↗