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Published in: Journal of Medical Systems 1/2023

Open Access 01-12-2023 | Original Paper

Setting Physical Activity Goals with a Virtual Coach: Vicarious Experiences, Personalization and Acceptance

Authors: Nele Albers, Beyza Hizli, Bouke L. Scheltinga, Eline Meijer, Willem-Paul Brinkman

Published in: Journal of Medical Systems | Issue 1/2023

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Abstract

Goal-setting is often used in eHealth applications for behavior change as it motivates and helps to stay focused on a desired outcome. However, for goals to be effective, they need to meet criteria such as being specific, measurable, attainable, relevant and time-bound (SMART). Moreover, people need to be confident to reach their goal. We thus created a goal-setting dialog in which the virtual coach Jody guided people in setting SMART goals. Thereby, Jody provided personalized vicarious experiences by showing examples from other people who reached a goal to increase people’s confidence. These experiences were personalized, as it is helpful to observe a relatable other succeed. Data from an online study with a between-subjects with pre-post measurement design (n=39 participants) provide credible support that personalized experiences are seen as more motivating than generic ones. Motivational factors for participants included information about the goal, path to the goal, and the person who accomplished a goal, as well as the mere fact that a goal was reached. Participants also had a positive attitude toward Jody. We see these results as an indication that people are positive toward using a goal-setting dialog with a virtual coach in eHealth applications for behavior change. Moreover, contrary to hypothesized, our observed data give credible support that participants’ self-efficacy was lower after the dialog than before. These results warrant further research on how such dialogs affect self-efficacy, especially whether these lower post-measurements of self-efficacy are associated with people’s more realistic assessment of their abilities.
Appendix
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Footnotes
1
We randomly chose one example for each of the 18 combinations of values for sex (2 values), age range (3 values), and weekly exercise amount (3 values) from the people providing the examples.
 
2
See Table 5 for how these individual characteristics were measured. Details on the individual items can be found in the provided dataset.
 
3
We used the smoking status as one balancing factor since Jody was developed as part of the Perfect Fit project [38], which aims to develop an eHealth application for quitting smoking and becoming more physically active.
 
Literature
2.
go back to reference Locke EA, Latham GP (2002) Building a practically useful theory of goal setting and task motivation: A 35-year odyssey. American psychologist 57(9):705CrossRefPubMed Locke EA, Latham GP (2002) Building a practically useful theory of goal setting and task motivation: A 35-year odyssey. American psychologist 57(9):705CrossRefPubMed
3.
go back to reference Epton T, Currie S, Armitage CJ (2017) Unique effects of setting goals on behavior change: Systematic review and meta-analysis. Journal of consulting and clinical psychology 85(12):1182CrossRefPubMed Epton T, Currie S, Armitage CJ (2017) Unique effects of setting goals on behavior change: Systematic review and meta-analysis. Journal of consulting and clinical psychology 85(12):1182CrossRefPubMed
4.
go back to reference Romeo A, Edney S, Plotnikoff R, et al (2019) Can smartphone apps increase physical activity? systematic review and meta-analysis. Journal of medical Internet research 21(3):e12053 Romeo A, Edney S, Plotnikoff R, et al (2019) Can smartphone apps increase physical activity? systematic review and meta-analysis. Journal of medical Internet research 21(3):e12053
5.
go back to reference Alpay LL, Henkemans OB, Otten W, et al. (2010) E-health applications and services for patient empowerment: directions for best practices in the netherlands. Telemedicine and e-Health 16(7):787–791 Alpay LL, Henkemans OB, Otten W, et al. (2010) E-health applications and services for patient empowerment: directions for best practices in the netherlands. Telemedicine and e-Health 16(7):787–791
6.
go back to reference Liao Y, Wu Q, Tang J, et al (2016) The efficacy of mobile phone-based text message interventions (’happy quit’) for smoking cessation in china. BMC Public Health 16(1):1–11 Liao Y, Wu Q, Tang J,  et al (2016) The efficacy of mobile phone-based text message interventions (’happy quit’) for smoking cessation in china. BMC Public Health 16(1):1–11
7.
go back to reference Michie S, Yardley L, West R, et al (2017) Developing and evaluating digital interventions to promote behavior change in health and health care: recommendations resulting from an international workshop. Journal of medical Internet research 19(6):e7126 Michie S, Yardley L, West R, et al (2017) Developing and evaluating digital interventions to promote behavior change in health and health care: recommendations resulting from an international workshop. Journal of medical Internet research 19(6):e7126
8.
go back to reference O’Neil HF, Drillings M (1994) Motivation: Theory and Research. Routledge O’Neil HF, Drillings M (1994) Motivation: Theory and Research. Routledge
9.
go back to reference Conzemius A, O’Neill J (2009) The power of SMART goals: Using goals to improve student learning. Solution Tree Press Conzemius A, O’Neill J (2009) The power of SMART goals: Using goals to improve student learning. Solution Tree Press
10.
go back to reference Montenegro JLZ, da Costa CA, da Rosa Righi R (2019) Survey of conversational agents in health. Expert Systems with Applications 129:56–67CrossRef Montenegro JLZ, da Costa CA, da Rosa Righi R (2019) Survey of conversational agents in health. Expert Systems with Applications 129:56–67CrossRef
11.
go back to reference Doran GT, et al. (1981) There’s smart way to write management’s goals and objectives. Management review 70(11):35–36 Doran GT, et al. (1981) There’s smart way to write management’s goals and objectives. Management review 70(11):35–36
13.
go back to reference Lee MK, Kim J, Forlizzi J, et al (2015) Personalization revisited: a reflective approach helps people better personalize health services and motivates them to increase physical activity. In: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp 743–754 Lee MK, Kim J, Forlizzi J, et al (2015) Personalization revisited: a reflective approach helps people better personalize health services and motivates them to increase physical activity. In: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp 743–754
14.
go back to reference Michie S, Van Stralen MM, West R (2011) The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implementation science 6(1):1–12CrossRef Michie S, Van Stralen MM, West R (2011) The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implementation science 6(1):1–12CrossRef
15.
go back to reference Bandura A (1977) Self-efficacy: toward a unifying theory of behavioral change. Psychological review 84(2):191CrossRefPubMed Bandura A (1977) Self-efficacy: toward a unifying theory of behavioral change. Psychological review 84(2):191CrossRefPubMed
16.
go back to reference Schunk DH, DiBenedetto MK (2021) Self-efficacy and human motivation. In: Advances in motivation science, vol 8, Elsevier, pp 153–179 Schunk DH, DiBenedetto MK (2021) Self-efficacy and human motivation. In: Advances in motivation science, vol 8, Elsevier, pp 153–179
17.
go back to reference Bandura A (1997) Self-efficacy: The exercise of control. Macmillan Bandura A (1997) Self-efficacy: The exercise of control. Macmillan
18.
go back to reference Warner LM, Schüz B, Knittle K, Ziegelmann JP, Wurm S (2011) Sources of perceived self-efficacy as predictors of physical activity in older adults. Applied Psychology: Health and Well-Being 3(2):172–192 Warner LM, Schüz B, Knittle K, Ziegelmann JP, Wurm S (2011) Sources of perceived self-efficacy as predictors of physical activity in older adults. Applied Psychology: Health and Well-Being 3(2):172–192
19.
go back to reference Ashford S, Edmunds J, French DP (2010) What is the best way to change self-efficacy to promote lifestyle and recreational physical activity? a systematic review with meta-analysis. British journal of health psychology 15(2):265–288CrossRefPubMed Ashford S, Edmunds J, French DP (2010) What is the best way to change self-efficacy to promote lifestyle and recreational physical activity? a systematic review with meta-analysis. British journal of health psychology 15(2):265–288CrossRefPubMed
20.
go back to reference Ozer EM, Rowe J, Tebb KP, et al (2020) Fostering engagement in health behavior change: Iterative development of an interactive narrative environment to enhance adolescent preventive health services. Journal of Adolescent Health 67(2):S34–S44 Ozer EM, Rowe J, Tebb KP, et al (2020) Fostering engagement in health behavior change: Iterative development of an interactive narrative environment to enhance adolescent preventive health services. Journal of Adolescent Health 67(2):S34–S44
21.
go back to reference Kariuki JK, Gibbs BB, Rockette-Wagner B, et al (2021) Vicarious experience in multi-ethnic study of atherosclerosis (mesa) is associated with greater odds of attaining the recommended leisure-time physical activity levels. International Journal of Behavioral Medicine 28(5):575–582 Kariuki JK, Gibbs BB, Rockette-Wagner B, et al (2021) Vicarious experience in multi-ethnic study of atherosclerosis (mesa) is associated with greater odds of attaining the recommended leisure-time physical activity levels. International Journal of Behavioral Medicine 28(5):575–582
24.
go back to reference Furnham A, Boo HC (2011) A literature review of the anchoring effect. The journal of socio-economics 40(1):35–42CrossRef Furnham A, Boo HC (2011) A literature review of the anchoring effect. The journal of socio-economics 40(1):35–42CrossRef
27.
go back to reference Lockwood P, Jordan CH, Kunda Z (2002) Motivation by positive or negative role models: regulatory focus determines who will best inspire us. Journal of personality and social psychology 83(4):854CrossRefPubMed Lockwood P, Jordan CH, Kunda Z (2002) Motivation by positive or negative role models: regulatory focus determines who will best inspire us. Journal of personality and social psychology 83(4):854CrossRefPubMed
29.
go back to reference Michie S, Atkins L, West R, et al. (2014) The behaviour change wheel. A guide to designing interventions 1st ed Great Britain: Silverback Publishing Michie S, Atkins L, West R, et al. (2014) The behaviour change wheel. A guide to designing interventions 1st ed Great Britain: Silverback Publishing
30.
go back to reference Zhou S, Bickmore T, Paasche-Orlow M, et al (2014) Agent-user concordance and satisfaction with a virtual hospital discharge nurse. In: International conference on intelligent virtual agents, Springer, pp 528–541 Zhou S, Bickmore T, Paasche-Orlow M, et al (2014) Agent-user concordance and satisfaction with a virtual hospital discharge nurse. In: International conference on intelligent virtual agents, Springer, pp 528–541
31.
go back to reference McAuley E (1993) Self-efficacy and the maintenance of exercise participation in older adults. Journal of behavioral medicine 16(1):103–113CrossRefPubMed McAuley E (1993) Self-efficacy and the maintenance of exercise participation in older adults. Journal of behavioral medicine 16(1):103–113CrossRefPubMed
32.
go back to reference Provoost S, Kleiboer A, Ornelas J, et al (2020) Improving adherence to an online intervention for low mood with a virtual coach: study protocol of a pilot randomized controlled trial. Trials 21(1):1–12 Provoost S, Kleiboer A, Ornelas J, et al (2020) Improving adherence to an online intervention for low mood with a virtual coach: study protocol of a pilot randomized controlled trial. Trials 21(1):1–12
35.
go back to reference Norman G, Benisovich S, Nigg C, et al (1998) Examining three exercise staging algorithms in two samples. In: 19th annual meeting of the Society of Behavioral Medicine Norman G, Benisovich S, Nigg C, et al (1998) Examining three exercise staging algorithms in two samples. In: 19th annual meeting of the Society of Behavioral Medicine
36.
go back to reference Faul F, Erdfelder E, Buchner A, et al (2009) Statistical power analyses using g* power 3.1: Tests for correlation and regression analyses. Behavior research methods 41(4):1149–1160 Faul F, Erdfelder E, Buchner A, et al (2009) Statistical power analyses using g* power 3.1: Tests for correlation and regression analyses. Behavior research methods 41(4):1149–1160
37.
go back to reference Cohen J (1988) Statistical power analysis for the behavioral sciences, second edition. Taylor & Francis Group, LLC Cohen J (1988) Statistical power analysis for the behavioral sciences, second edition. Taylor & Francis Group, LLC
38.
go back to reference Meijer E, Penfornis K, Albers N, et al (2021) Perfect fit: een identiteitsgebaseerde virtuele coach die ondersteunt bij stoppen met roken en meer bewegen. Nederlands Netwerk voor Tabaksonderzoek (NNvT) Congres Meijer E, Penfornis K, Albers N, et al (2021) Perfect fit: een identiteitsgebaseerde virtuele coach die ondersteunt bij stoppen met roken en meer bewegen. Nederlands Netwerk voor Tabaksonderzoek (NNvT) Congres
39.
go back to reference Xiao L, Yank V, Ma J (2012) Algorithm for balancing both continuous and categorical covariates in randomized controlled trials. Computer methods and programs in biomedicine 108(3):1185–1190CrossRefPubMed Xiao L, Yank V, Ma J (2012) Algorithm for balancing both continuous and categorical covariates in randomized controlled trials. Computer methods and programs in biomedicine 108(3):1185–1190CrossRefPubMed
40.
go back to reference Kruschke JK, Liddell TM (2018) The bayesian new statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a bayesian perspective. Psychonomic Bulletin & Review 25(1):178–206CrossRef Kruschke JK, Liddell TM (2018) The bayesian new statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a bayesian perspective. Psychonomic Bulletin & Review 25(1):178–206CrossRef
41.
go back to reference Chechile RA (2020) Bayesian Statistics for Experimental Scientists: A General Introduction Using Distribution-Free Methods. MIT Press Chechile RA (2020) Bayesian Statistics for Experimental Scientists: A General Introduction Using Distribution-Free Methods. MIT Press
42.
go back to reference Andraszewicz S, Scheibehenne B, Rieskamp J, et al (2015) An introduction to bayesian hypothesis testing for management research. Journal of Management 41(2):521–543 Andraszewicz S, Scheibehenne B, Rieskamp J, et al (2015) An introduction to bayesian hypothesis testing for management research. Journal of Management 41(2):521–543
43.
go back to reference Baath R (2014) Bayesian first aid: A package that implements bayesian alternatives to the classical *.test functions in r. In: UseR! 2014 - the International R User Conference Baath R (2014) Bayesian first aid: A package that implements bayesian alternatives to the classical *.test functions in r. In: UseR! 2014 - the International R User Conference
44.
go back to reference Nancy Carter R, Bryant-Lukosius D, Alba DiCenso R (2014) The use of triangulation in qualitative research. In: Oncology nursing forum, Oncology Nursing Society, vol 41, pp 545–7CrossRef Nancy Carter R, Bryant-Lukosius D, Alba DiCenso R (2014) The use of triangulation in qualitative research. In: Oncology nursing forum, Oncology Nursing Society, vol 41, pp 545–7CrossRef
45.
go back to reference Braun V, Clarke V (2006) Using thematic analysis in psychology. Qualitative research in psychology 3(2):77–101CrossRef Braun V, Clarke V (2006) Using thematic analysis in psychology. Qualitative research in psychology 3(2):77–101CrossRef
46.
go back to reference Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. biometrics pp 159–174 Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. biometrics pp 159–174
49.
go back to reference Kruger J, Dunning D (1999) Unskilled and unaware of it: how difficulties in recognizing one’s own incompetence lead to inflated self-assessments. Journal of personality and social psychology 77(6):1121CrossRefPubMed Kruger J, Dunning D (1999) Unskilled and unaware of it: how difficulties in recognizing one’s own incompetence lead to inflated self-assessments. Journal of personality and social psychology 77(6):1121CrossRefPubMed
50.
go back to reference Kang N, Ding D, Van Riemsdijk MB, et al (2021) Self-identification with a virtual experience and its moderating effect on self-efficacy and presence. International Journal of Human–Computer Interaction 37(2):181–196 Kang N, Ding D, Van Riemsdijk MB, et al (2021) Self-identification with a virtual experience and its moderating effect on self-efficacy and presence. International Journal of Human–Computer Interaction 37(2):181–196
51.
go back to reference Rowland SA, Cohen MZ, Pullen CH, et al (2020) Vicarious experience to affect physical activity in women: A randomized control trial. Western journal of nursing research 42(4):286–292 Rowland SA, Cohen MZ, Pullen CH, et al (2020) Vicarious experience to affect physical activity in women: A randomized control trial. Western journal of nursing research 42(4):286–292
52.
go back to reference Choi J, Lee HJ, Sajjad F, et al (2014) The influence of national culture on the attitude towards mobile recommender systems. Technological Forecasting and Social Change 86:65–79 Choi J, Lee HJ, Sajjad F, et al (2014) The influence of national culture on the attitude towards mobile recommender systems. Technological Forecasting and Social Change 86:65–79
53.
go back to reference Thorat PB, Goudar RM, Barve S (2015) Survey on collaborative filtering, content-based filtering and hybrid recommendation system. International Journal of Computer Applications 110(4):31–36 Thorat PB, Goudar RM, Barve S (2015) Survey on collaborative filtering, content-based filtering and hybrid recommendation system. International Journal of Computer Applications 110(4):31–36
54.
go back to reference Zhang J, Oh YJ, Lange P, et al (2020) Artificial intelligence chatbot behavior change model for designing artificial intelligence chatbots to promote physical activity and a healthy diet. Journal of medical Internet research 22(9):e22,845 Zhang J, Oh YJ, Lange P, et al (2020) Artificial intelligence chatbot behavior change model for designing artificial intelligence chatbots to promote physical activity and a healthy diet. Journal of medical Internet research 22(9):e22,845
55.
go back to reference Venkatesh V, Morris MG, Davis GB, et al (2003) User acceptance of information technology: Toward a unified view. MIS quarterly pp 425–478 Venkatesh V, Morris MG, Davis GB, et al (2003) User acceptance of information technology: Toward a unified view. MIS quarterly pp 425–478
56.
go back to reference Croes EA, Antheunis ML (2021) Can we be friends with mitsuku? a longitudinal study on the process of relationship formation between humans and a social chatbot. Journal of Social and Personal Relationships 38(1):279–300 Croes EA, Antheunis ML (2021) Can we be friends with mitsuku? a longitudinal study on the process of relationship formation between humans and a social chatbot. Journal of Social and Personal Relationships 38(1):279–300
57.
go back to reference Sadeghi S, Gupta S, Gramatovici S, et al (2022) Novelty and primacy: a long-term estimator for online experiments. Technometrics pp 1–26 Sadeghi S, Gupta S, Gramatovici S, et al (2022) Novelty and primacy: a long-term estimator for online experiments. Technometrics pp 1–26
58.
go back to reference Sherif CW, Sherif M, Nebergall RE (1965) Attitude and attitude change: The social judgment-involvement approach. Saunders Philadelphia Sherif CW, Sherif M, Nebergall RE (1965) Attitude and attitude change: The social judgment-involvement approach. Saunders Philadelphia
59.
go back to reference Smith KG, Locke EA, Barry D (1990) Goal setting, planning, and organizational performance: An experimental simulation. Organizational Behavior and Human Decision Processes 46(1):118–134 Smith KG, Locke EA, Barry D (1990) Goal setting, planning, and organizational performance: An experimental simulation. Organizational Behavior and Human Decision Processes 46(1):118–134
60.
go back to reference Poppe L, Van der Mispel C, Crombez G, et al (2018) How users experience and use an ehealth intervention based on self-regulation: mixed-methods study. Journal of medical Internet research 20(10):e10,412 Poppe L, Van der Mispel C, Crombez G, et al (2018) How users experience and use an ehealth intervention based on self-regulation: mixed-methods study. Journal of medical Internet research 20(10):e10,412
61.
go back to reference Beristain Iraola A, ´Alvarez S´anchez R, Petsani D, et al (2020) Virtual coaching for older adults at home using smart goal supported behavior change. In: Companion Publication of the 2020 International Conference on Multimodal Interaction, pp 251–255 Beristain Iraola A, ´Alvarez S´anchez R, Petsani D, et al (2020) Virtual coaching for older adults at home using smart goal supported behavior change. In: Companion Publication of the 2020 International Conference on Multimodal Interaction, pp 251–255
62.
go back to reference Hizli B (2022) Goal-setting dialogue for physical activity with a virtual coach. Master’s thesis Hizli B (2022) Goal-setting dialogue for physical activity with a virtual coach. Master’s thesis
63.
go back to reference Gosling S, Rentfrow P, Swann W (2003) A very brief measure of the big-five personality domains. Journal of Research in Personality 37:504–528CrossRef Gosling S, Rentfrow P, Swann W (2003) A very brief measure of the big-five personality domains. Journal of Research in Personality 37:504–528CrossRef
64.
go back to reference Anderson DF, Cychosz CM (1994) Development of an exercise identity scale. Perceptual and motor skills 78(3):747–751CrossRefPubMed Anderson DF, Cychosz CM (1994) Development of an exercise identity scale. Perceptual and motor skills 78(3):747–751CrossRefPubMed
65.
go back to reference Craig CL, Marshall AL, Sjöström M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, et al. (2003) International physical activity questionnaire: 12-country reliability and validity. Medicine & science in sports & exercise 35(8):1381–1395CrossRef Craig CL, Marshall AL, Sjöström M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, et al. (2003) International physical activity questionnaire: 12-country reliability and validity. Medicine & science in sports & exercise 35(8):1381–1395CrossRef
66.
go back to reference Godin G (2011) The godin-shephard leisure-time physical activity questionnaire. The Health & Fitness Journal of Canada 4(1):18–22 Godin G (2011) The godin-shephard leisure-time physical activity questionnaire. The Health & Fitness Journal of Canada 4(1):18–22
Metadata
Title
Setting Physical Activity Goals with a Virtual Coach: Vicarious Experiences, Personalization and Acceptance
Authors
Nele Albers
Beyza Hizli
Bouke L. Scheltinga
Eline Meijer
Willem-Paul Brinkman
Publication date
01-12-2023
Publisher
Springer US
Published in
Journal of Medical Systems / Issue 1/2023
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-022-01899-9

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