Personalizing motivational strategies

Carlijn A.L. Valk, Peter Lovei, Hubert Cornelis, Yaliang Chuang , Thomas Visser, Pearl Pu, Yuan Lu

Research output: Contribution to conferencePosterAcademic

6 Downloads (Pure)

Abstract

Design for behaviour change (BC) has the potential to motivate older
adults to increase their physical activity and enjoy the health benefits
hereof. Despite this potential, there is a lack of knowledge about how
to profile users, to most effectively personalize strategies, which is
detrimental to the overall effectiveness of these BC solutions. Thus we
conducted a random control trial in which the effects of two BC
strategies, implemented in two otherwise similar mobile applications,
are compared. From the statistical analysis of the measured step data
and the collected survey data, we were able to create motivation
profiles for BC by triangulating an individual’s contextual, behavioural
and psychological factors. Here we share an overview of our approach.
In this way we aim to inform designers doing important work in the field
of BC toward increased physical activity.
Original languageEnglish
Publication statusPublished - 12 Nov 2019
EventData Science Summit 2019: The Annual Data Science Summit Eindhoven, organized by TU/e - DSCE - Frits Philips Muziekgebouw, Eindhoven, Netherlands
Duration: 12 Nov 201912 Nov 2019
https://www.tue.nl/en/research/research-areas/data-science/data-science-summit-2019/

Seminar

SeminarData Science Summit 2019
CountryNetherlands
CityEindhoven
Period12/11/1912/11/19
Internet address

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physical activity
statistical analysis
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Cite this

Valk, C. A. L., Lovei, P., Cornelis, H., Chuang , Y., Visser, T., Pu, P., & Lu, Y. (2019). Personalizing motivational strategies. Poster session presented at Data Science Summit 2019, Eindhoven, Netherlands.
Valk, Carlijn A.L. ; Lovei, Peter ; Cornelis, Hubert ; Chuang , Yaliang ; Visser, Thomas ; Pu, Pearl ; Lu, Yuan. / Personalizing motivational strategies. Poster session presented at Data Science Summit 2019, Eindhoven, Netherlands.
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title = "Personalizing motivational strategies",
abstract = "Design for behaviour change (BC) has the potential to motivate olderadults to increase their physical activity and enjoy the health benefitshereof. Despite this potential, there is a lack of knowledge about howto profile users, to most effectively personalize strategies, which isdetrimental to the overall effectiveness of these BC solutions. Thus weconducted a random control trial in which the effects of two BCstrategies, implemented in two otherwise similar mobile applications,are compared. From the statistical analysis of the measured step dataand the collected survey data, we were able to create motivationprofiles for BC by triangulating an individual’s contextual, behaviouraland psychological factors. Here we share an overview of our approach.In this way we aim to inform designers doing important work in the fieldof BC toward increased physical activity.",
author = "Valk, {Carlijn A.L.} and Peter Lovei and Hubert Cornelis and Yaliang Chuang and Thomas Visser and Pearl Pu and Yuan Lu",
year = "2019",
month = "11",
day = "12",
language = "English",
note = "Data Science Summit 2019 : The Annual Data Science Summit Eindhoven, organized by TU/e - DSCE ; Conference date: 12-11-2019 Through 12-11-2019",
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Valk, CAL, Lovei, P, Cornelis, H, Chuang , Y, Visser, T, Pu, P & Lu, Y 2019, 'Personalizing motivational strategies', Data Science Summit 2019, Eindhoven, Netherlands, 12/11/19 - 12/11/19.

Personalizing motivational strategies. / Valk, Carlijn A.L.; Lovei, Peter; Cornelis, Hubert; Chuang , Yaliang; Visser, Thomas; Pu, Pearl; Lu, Yuan.

2019. Poster session presented at Data Science Summit 2019, Eindhoven, Netherlands.

Research output: Contribution to conferencePosterAcademic

TY - CONF

T1 - Personalizing motivational strategies

AU - Valk, Carlijn A.L.

AU - Lovei, Peter

AU - Cornelis, Hubert

AU - Chuang , Yaliang

AU - Visser, Thomas

AU - Pu, Pearl

AU - Lu, Yuan

PY - 2019/11/12

Y1 - 2019/11/12

N2 - Design for behaviour change (BC) has the potential to motivate olderadults to increase their physical activity and enjoy the health benefitshereof. Despite this potential, there is a lack of knowledge about howto profile users, to most effectively personalize strategies, which isdetrimental to the overall effectiveness of these BC solutions. Thus weconducted a random control trial in which the effects of two BCstrategies, implemented in two otherwise similar mobile applications,are compared. From the statistical analysis of the measured step dataand the collected survey data, we were able to create motivationprofiles for BC by triangulating an individual’s contextual, behaviouraland psychological factors. Here we share an overview of our approach.In this way we aim to inform designers doing important work in the fieldof BC toward increased physical activity.

AB - Design for behaviour change (BC) has the potential to motivate olderadults to increase their physical activity and enjoy the health benefitshereof. Despite this potential, there is a lack of knowledge about howto profile users, to most effectively personalize strategies, which isdetrimental to the overall effectiveness of these BC solutions. Thus weconducted a random control trial in which the effects of two BCstrategies, implemented in two otherwise similar mobile applications,are compared. From the statistical analysis of the measured step dataand the collected survey data, we were able to create motivationprofiles for BC by triangulating an individual’s contextual, behaviouraland psychological factors. Here we share an overview of our approach.In this way we aim to inform designers doing important work in the fieldof BC toward increased physical activity.

M3 - Poster

ER -

Valk CAL, Lovei P, Cornelis H, Chuang Y, Visser T, Pu P et al. Personalizing motivational strategies. 2019. Poster session presented at Data Science Summit 2019, Eindhoven, Netherlands.