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A Social Robot to Deliver an 8-Week Intervention for Diabetes Management: Initial Test of Feasibility in a Hospital Clinic

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Social Robotics (ICSR 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12483))

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Abstract

Social robots show significant potential as a healthcare coach for chronic life-long conditions and within medical settings. This 8-week feasibility trial explored a robot-delivered talk-based program for adolescents with Type 1 Diabetes to coach diabetes management with a focus on healthy eating habits. Trial objectives were to assess initial recruitment uptake, treatment effects, and evaluations of the program before a larger deployment. A NAO robot delivered two 60-minute coaching sessions and two 15-minute videos over an 8-week period. Initial findings revealed the robot program had a 44% uptake rate (n = 4). The robot program helped two participants achieve a 70% reduction in their high-sugar food and drink consumption, including increased motivation and self-efficacy scores. Program evaluation found the robot-delivered content did elicit discussion around personal incentives, goals, strategies, goal planning and consideration to improve diabetes management. Robot evaluation scores increased over time for improved likability, helpfulness, trust, and capacity to help change behavior. Qualitative evaluation found sessions were rated as interactive, supportive, and helpful for their self-management. Results found preliminary support for a robot-delivered program to be offered in conjunction with a hospital outpatient clinic, but more recruitment to increase sample size is needed. The next stage involves technical refinement, better integration into an existing service, and trial extension or replication in a larger sample to further substantiate these findings.

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Acknowledgement

This work was supported by the Australian Postgraduate Award on behalf of the Department of Education and Training and by a Research Grant from the State of Queensland acting through the Department of Science, Information Technology and Innovation.

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Authors and Affiliations

  1. Centre for Children’s Health Research, Institute of Health and Biomedical Innovation, and School of Psychology & Counselling, Queensland University of Technology, Brisbane, QLD, 4000, Australia

    Nicole L. Robinson, Jennifer Connolly & David J. Kavanagh

  2. Australian Research Council Centre of Excellence for Robotic Vision, Queensland University of Technology, Brisbane, QLD, 4000, Australia

    Nicole L. Robinson

  3. Department of Electrical and Computer Systems Engineering, Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC, 3800, Australia

    Nicole L. Robinson

  4. School of Psychology, University of Queensland, Saint Lucia, QLD, 4072, Australia

    Leanne Hides

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  1. Nicole L. Robinson
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  4. David J. Kavanagh
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Corresponding author

Correspondence to Nicole L. Robinson .

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Editors and Affiliations

  1. Pennsylvania State University, University Park, PA, USA

    Alan R. Wagner

  2. University of Nevada Reno, Reno, NV, USA

    David Feil-Seifer

  3. University of Denver, Denver, CO, USA

    Kerstin S. Haring

  4. University of Naples Federico II, Naples, Italy

    Silvia Rossi

  5. Colorado School of Mines, Golden, CO, USA

    Thomas Williams

  6. Wichita State University, Wichita, KS, USA

    Hongsheng He

  7. National University of Singapore, Singapore, Singapore

    Shuzhi Sam Ge

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Robinson, N.L., Connolly, J., Hides, L., Kavanagh, D.J. (2020). A Social Robot to Deliver an 8-Week Intervention for Diabetes Management: Initial Test of Feasibility in a Hospital Clinic. In: Wagner, A.R., et al. Social Robotics. ICSR 2020. Lecture Notes in Computer Science(), vol 12483. Springer, Cham. https://doi.org/10.1007/978-3-030-62056-1_52

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  • DOI: https://doi.org/10.1007/978-3-030-62056-1_52

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