Eva Hudlicka1. 1. Psychometrix Associates, Inc., Blacksburg, VA 24060, USA. hudlicka@ieee.org
Abstract
OBJECTIVE: Computer-based virtual coaches are increasingly being explored for patient education, counseling, and health behavior training and coaching. The objective of this research was to develop and evaluate a Virtual Mindfulness Coach for training and coaching in mindfulness meditation. METHODS: The coach was implemented as an embodied conversational character, providing mindfulness training and coaching via mixed initiative, text-based, natural language dialog with the student, and emphasizing affect-adaptive interaction. (The term 'mixed initiative dialog' refers to a human-machine dialog where either can initiate a conversation or a change in the conversation topic.) RESULTS: Findings from a pilot evaluation study indicate that the coach-based training is more effective in helping students establish a regular practice than self-administered training using written and audio materials. The coached group also appeared to be in more advanced stages of change in terms of the transtheoretical model, and have a higher sense of self-efficacy regarding establishment of a regular mindfulness practice. CONCLUSION: These results suggest that virtual coach-based training of mindfulness is both feasible, and potentially more effective, than a self-administered program. Of particular interest is the identification of the specific coach features that contribute to its effectiveness. PRACTICE IMPLICATIONS: Virtual coaches could provide easily accessible and cost-effective customized training for a range of health behaviors. The affect-adaptive aspect of these coaches is particularly relevant for helping patients establish long-term behavior changes.
OBJECTIVE: Computer-based virtual coaches are increasingly being explored for patient education, counseling, and health behavior training and coaching. The objective of this research was to develop and evaluate a Virtual Mindfulness Coach for training and coaching in mindfulness meditation. METHODS: The coach was implemented as an embodied conversational character, providing mindfulness training and coaching via mixed initiative, text-based, natural language dialog with the student, and emphasizing affect-adaptive interaction. (The term 'mixed initiative dialog' refers to a human-machine dialog where either can initiate a conversation or a change in the conversation topic.) RESULTS: Findings from a pilot evaluation study indicate that the coach-based training is more effective in helping students establish a regular practice than self-administered training using written and audio materials. The coached group also appeared to be in more advanced stages of change in terms of the transtheoretical model, and have a higher sense of self-efficacy regarding establishment of a regular mindfulness practice. CONCLUSION: These results suggest that virtual coach-based training of mindfulness is both feasible, and potentially more effective, than a self-administered program. Of particular interest is the identification of the specific coach features that contribute to its effectiveness. PRACTICE IMPLICATIONS: Virtual coaches could provide easily accessible and cost-effective customized training for a range of health behaviors. The affect-adaptive aspect of these coaches is particularly relevant for helping patients establish long-term behavior changes.
Authors: Richard J Davidson; Jon Kabat-Zinn; Jessica Schumacher; Melissa Rosenkranz; Daniel Muller; Saki F Santorelli; Ferris Urbanowski; Anne Harrington; Katherine Bonus; John F Sheridan Journal: Psychosom Med Date: 2003 Jul-Aug Impact factor: 4.312
Authors: Paula M Gardiner; Kelly D McCue; Lily M Negash; Teresa Cheng; Laura F White; Leanne Yinusa-Nyahkoon; Brian W Jack; Timothy W Bickmore Journal: Patient Educ Couns Date: 2017-04-26
Authors: Yong Shian Goh; Jenna Qing Yun Ow Yong; Bernice Qian Hui Chee; Jonathan Han Loong Kuek; Cyrus Su Hui Ho Journal: J Med Internet Res Date: 2022-06-02 Impact factor: 7.076
Authors: Matthew T Stewart; Taylor Nezich; Joyce M Lee; Rebecca E Hasson; Natalie Colabianchi Journal: JMIR Mhealth Uhealth Date: 2021-04-29 Impact factor: 4.773
Authors: Peppino Tropea; Hannes Schlieter; Irma Sterpi; Elda Judica; Kai Gand; Massimo Caprino; Inigo Gabilondo; Juan Carlos Gomez-Esteban; Stefan Busnatu; Crina Sinescu; Sofoklis Kyriazakos; Sadia Anwar; Massimo Corbo Journal: J Med Internet Res Date: 2019-10-01 Impact factor: 5.428
Authors: Ahmet Baki Kocaballi; Shlomo Berkovsky; Juan C Quiroz; Liliana Laranjo; Huong Ly Tong; Dana Rezazadegan; Agustina Briatore; Enrico Coiera Journal: J Med Internet Res Date: 2019-11-07 Impact factor: 5.428