Crowd-Designed Motivation: Motivational Messages for Exercise Adherence Based on Behavior Change Theory

Roelof A.J. de Vries; Khiet P. Truong; Sigrid Kwint; Constance H.C. Drossaert; Vanessa Evers

doi:10.1145/2858036.2858229

Crowd-Designed Motivation: Motivational Messages for Exercise Adherence Based on Behavior Change Theory

Roelof A.J. de Vries
, Khiet P. Truong
, Sigrid Kwint
, Constance H.C. Drossaert
, Vanessa Evers

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

55 Citations (Scopus)

588 Downloads (Pure)

Abstract

Developing motivational technology to support long-term behavior change is a challenge. A solution is to incorporate insights from behavior change theory and design technology to tailor to individual users. We carried out two studies to investigate whether the processes of change, from the Transtheoretical Model, can be effectively represented by motivational text messages. We crowdsourced peer-designed text messages and coded them into categories based on the processes of change. We evaluated whether people perceived messages tailored to their stage of change as motivating. We found that crowdsourcing is an effective method to design motivational messages. Our results indicate that different messages are perceived as motivating depending on the stage of behavior change a person is in. However, while motivational messages related to later stages of change were perceived as motivational for those stages, the motivational messages related to earlier stages of change were not. This indicates that a person’s stage of change may not be the (only) key factor that determines behavior change. More individual factors need to be considered to design effective motivational technology.

Original language	English
Title of host publication	CHI '16
Subtitle of host publication	Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, San Jose, California, USA, May 7-12, 2016
Place of Publication	New York, NY
Publisher	Association for Computing Machinery (ACM)
Pages	297-308
Number of pages	12
ISBN (Print)	978-1-4503-3362-7
DOIs	https://doi.org/10.1145/2858036.2858229
Publication status	Published - 7 May 2016
Event	34th Annual CHI Conference on Human Factors in Computing Systems, CHI 2016 - San Jose, United States Duration: 7 May 2016 → 12 May 2016 Conference number: 34 https://chi2016.acm.org/wp/

Conference

Conference	34th Annual CHI Conference on Human Factors in Computing Systems, CHI 2016
Abbreviated title	CHI 2016
Country/Territory	United States
City	San Jose
Period	7/05/16 → 12/05/16
Internet address	https://chi2016.acm.org/wp/

Keywords

2020 OA procedure
HMI-HF: Human Factors
Behavior change theory
Exercise adherence
Stages of change
Transtheoretical model
Processes of change
Crowdsourcing
Motivational messages

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10.1145/2858036.2858229

ArticleFinal published version, 249 KBLicence: Taverne

Cite this

de Vries, R. A. J., Truong, K. P., Kwint, S., Drossaert, C. H. C., & Evers, V. (2016). Crowd-Designed Motivation: Motivational Messages for Exercise Adherence Based on Behavior Change Theory. In CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, San Jose, California, USA, May 7-12, 2016 (pp. 297-308). Association for Computing Machinery (ACM). https://doi.org/10.1145/2858036.2858229

de Vries, Roelof A.J. ; Truong, Khiet P. ; Kwint, Sigrid et al. / Crowd-Designed Motivation : Motivational Messages for Exercise Adherence Based on Behavior Change Theory. CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, San Jose, California, USA, May 7-12, 2016. New York, NY : Association for Computing Machinery (ACM), 2016. pp. 297-308

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abstract = "Developing motivational technology to support long-term behavior change is a challenge. A solution is to incorporate insights from behavior change theory and design technology to tailor to individual users. We carried out two studies to investigate whether the processes of change, from the Transtheoretical Model, can be effectively represented by motivational text messages. We crowdsourced peer-designed text messages and coded them into categories based on the processes of change. We evaluated whether people perceived messages tailored to their stage of change as motivating. We found that crowdsourcing is an effective method to design motivational messages. Our results indicate that different messages are perceived as motivating depending on the stage of behavior change a person is in. However, while motivational messages related to later stages of change were perceived as motivational for those stages, the motivational messages related to earlier stages of change were not. This indicates that a person{\textquoteright}s stage of change may not be the (only) key factor that determines behavior change. More individual factors need to be considered to design effective motivational technology.",

keywords = "2020 OA procedure, HMI-HF: Human Factors, Behavior change theory, Exercise adherence, Stages of change, Transtheoretical model, Processes of change, Crowdsourcing, Motivational messages",

author = "\{de Vries\}, \{Roelof A.J.\} and Truong, \{Khiet P.\} and Sigrid Kwint and Drossaert, \{Constance H.C.\} and Vanessa Evers",

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doi = "10.1145/2858036.2858229",

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de Vries, RAJ, Truong, KP, Kwint, S, Drossaert, CHC & Evers, V 2016, Crowd-Designed Motivation: Motivational Messages for Exercise Adherence Based on Behavior Change Theory. in CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, San Jose, California, USA, May 7-12, 2016. Association for Computing Machinery (ACM), New York, NY, pp. 297-308, 34th Annual CHI Conference on Human Factors in Computing Systems, CHI 2016, San Jose, California, United States, 7/05/16. https://doi.org/10.1145/2858036.2858229

Crowd-Designed Motivation: Motivational Messages for Exercise Adherence Based on Behavior Change Theory. / de Vries, Roelof A.J.; Truong, Khiet P.; Kwint, Sigrid et al.
CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, San Jose, California, USA, May 7-12, 2016. New York, NY: Association for Computing Machinery (ACM), 2016. p. 297-308.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T2 - 34th Annual CHI Conference on Human Factors in Computing Systems, CHI 2016

AU - de Vries, Roelof A.J.

AU - Truong, Khiet P.

AU - Kwint, Sigrid

AU - Drossaert, Constance H.C.

AU - Evers, Vanessa

N1 - Conference code: 34

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Y1 - 2016/5/7

N2 - Developing motivational technology to support long-term behavior change is a challenge. A solution is to incorporate insights from behavior change theory and design technology to tailor to individual users. We carried out two studies to investigate whether the processes of change, from the Transtheoretical Model, can be effectively represented by motivational text messages. We crowdsourced peer-designed text messages and coded them into categories based on the processes of change. We evaluated whether people perceived messages tailored to their stage of change as motivating. We found that crowdsourcing is an effective method to design motivational messages. Our results indicate that different messages are perceived as motivating depending on the stage of behavior change a person is in. However, while motivational messages related to later stages of change were perceived as motivational for those stages, the motivational messages related to earlier stages of change were not. This indicates that a person’s stage of change may not be the (only) key factor that determines behavior change. More individual factors need to be considered to design effective motivational technology.

AB - Developing motivational technology to support long-term behavior change is a challenge. A solution is to incorporate insights from behavior change theory and design technology to tailor to individual users. We carried out two studies to investigate whether the processes of change, from the Transtheoretical Model, can be effectively represented by motivational text messages. We crowdsourced peer-designed text messages and coded them into categories based on the processes of change. We evaluated whether people perceived messages tailored to their stage of change as motivating. We found that crowdsourcing is an effective method to design motivational messages. Our results indicate that different messages are perceived as motivating depending on the stage of behavior change a person is in. However, while motivational messages related to later stages of change were perceived as motivational for those stages, the motivational messages related to earlier stages of change were not. This indicates that a person’s stage of change may not be the (only) key factor that determines behavior change. More individual factors need to be considered to design effective motivational technology.

KW - 2020 OA procedure

KW - HMI-HF: Human Factors

KW - Behavior change theory

KW - Exercise adherence

KW - Stages of change

KW - Transtheoretical model

KW - Processes of change

KW - Crowdsourcing

KW - Motivational messages

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DO - 10.1145/2858036.2858229

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BT - CHI '16

PB - Association for Computing Machinery (ACM)

CY - New York, NY

Y2 - 7 May 2016 through 12 May 2016

ER -

de Vries RAJ, Truong KP, Kwint S, Drossaert CHC , Evers V. Crowd-Designed Motivation: Motivational Messages for Exercise Adherence Based on Behavior Change Theory. In CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, San Jose, California, USA, May 7-12, 2016. New York, NY: Association for Computing Machinery (ACM). 2016. p. 297-308 doi: 10.1145/2858036.2858229

Crowd-Designed Motivation: Motivational Messages for Exercise Adherence Based on Behavior Change Theory

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