Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare |
| Publisher | Association for Computing Machinery (ACM) |
| Publication status | Published - 2017 |
| Event | 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017 - Barcelona, Spain Duration: 23 May 2017 → 26 May 2017 Conference number: 11 http://archive.pervasivehealth.org/2017/show/home |
Conference
| Conference | 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017 |
|---|---|
| Abbreviated title | PervasiveHealth |
| Country | Spain |
| City | Barcelona |
| Period | 23/05/17 → 26/05/17 |
| Internet address |
Cite this
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Experts Get Me Started, Peers Keep Me Going : Comparing Crowd- versus Expert-Designed Motivational Text Messages for Exercise Behavior Change. / De Vries, Roelof A. J.; Zaga, Cristina; Bayer, Franciszka; Drossaert, Constance H. C.; Truong, Khiet P.; Evers, Vanessa.
Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare. Association for Computing Machinery (ACM), 2017.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Experts Get Me Started, Peers Keep Me Going
T2 - Comparing Crowd- versus Expert-Designed Motivational Text Messages for Exercise Behavior Change
AU - De Vries, Roelof A. J.
AU - Zaga, Cristina
AU - Bayer, Franciszka
AU - Drossaert, Constance H. C.
AU - Truong, Khiet P.
AU - Evers, Vanessa
PY - 2017
Y1 - 2017
N2 - We present a comparative analysis of motivational messages designed with a theory-driven approach. A previous study [4] involved crowdsourcing to design and evaluate motivational text messages for physical activity, and showed that these peer-designed text messages aligned to behavior change strategies from theory. However, the messages were predominantly rated as motivating in the later stages of behavior change, not in the earlier stages, including those strategies intended for the earlier stages. We speculated that the peers that designed the messages aligned to the strategies did not have sufficient expertise to motivate people in earlier stages. Therefore, we replicated the study with experts. We found that for two of the strategies expert-designed messages were found more motivating in the earliest stage, while for several of the strategies peer-designed messages were rated more motivating for later stages. We conclude that when using these strategies in behavior change technology, expert-designed messages could be more motivating in the earliest stage, while peer-designed messages could be more motivating in the later stages.
AB - We present a comparative analysis of motivational messages designed with a theory-driven approach. A previous study [4] involved crowdsourcing to design and evaluate motivational text messages for physical activity, and showed that these peer-designed text messages aligned to behavior change strategies from theory. However, the messages were predominantly rated as motivating in the later stages of behavior change, not in the earlier stages, including those strategies intended for the earlier stages. We speculated that the peers that designed the messages aligned to the strategies did not have sufficient expertise to motivate people in earlier stages. Therefore, we replicated the study with experts. We found that for two of the strategies expert-designed messages were found more motivating in the earliest stage, while for several of the strategies peer-designed messages were rated more motivating for later stages. We conclude that when using these strategies in behavior change technology, expert-designed messages could be more motivating in the earliest stage, while peer-designed messages could be more motivating in the later stages.
M3 - Conference contribution
BT - Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare
PB - Association for Computing Machinery (ACM)
ER -