TY - GEN
T1 - Personalized Digital Interventions for Behavior Change
T2 - 20th International Conference on Persuasive Technology, PERSUASIVE 2025
AU - Taj, Fawad
AU - Klein, Michel
AU - van Halteren, Aart
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - This study evaluates the effectiveness of the digital intervention delivered using the MoM mobile app. The app uses different behavior as change techniques to bring about change via an explicit model of motivation as a mechanism of action for physical activity behavior. For a two-arm, single-blind experimental trial, 41 participants were randomly assigned to intervention (n = 20) and control (n = 21) groups. The Intervention group participants used a model-based personalized and adaptive app (MoM) for 40 days. Control participants used the same app without the motivation model, which was neither fully personalized nor adaptive. 9 days of baseline data and 40 days of treatment period data were collected for both intervention and control groups. Based on the linear mixed effect model, participants in the intervention group demonstrated more significant increases in steps per day (95% CI = 873.97–3497.19 p = 0.001) compared to their baseline. Still, changes in daily steps between-groups are not so significantly different. At the same time, enjoyment is the most related motive (95%, CI = 71.87–1339.14 p = 0.029) for calculating reward prediction error and increasing daily physical activity. Using an explicit model for the targeted determinant increases the effectiveness and gives more control to design personalized and adaptive interventions.
AB - This study evaluates the effectiveness of the digital intervention delivered using the MoM mobile app. The app uses different behavior as change techniques to bring about change via an explicit model of motivation as a mechanism of action for physical activity behavior. For a two-arm, single-blind experimental trial, 41 participants were randomly assigned to intervention (n = 20) and control (n = 21) groups. The Intervention group participants used a model-based personalized and adaptive app (MoM) for 40 days. Control participants used the same app without the motivation model, which was neither fully personalized nor adaptive. 9 days of baseline data and 40 days of treatment period data were collected for both intervention and control groups. Based on the linear mixed effect model, participants in the intervention group demonstrated more significant increases in steps per day (95% CI = 873.97–3497.19 p = 0.001) compared to their baseline. Still, changes in daily steps between-groups are not so significantly different. At the same time, enjoyment is the most related motive (95%, CI = 71.87–1339.14 p = 0.029) for calculating reward prediction error and increasing daily physical activity. Using an explicit model for the targeted determinant increases the effectiveness and gives more control to design personalized and adaptive interventions.
KW - behavior change systems
KW - cognitive modeling
KW - digital health behavior
KW - dopamine reward system
KW - mhealth
KW - motivation model
KW - persuasive technologies
UR - https://www.scopus.com/pages/publications/105009021857
U2 - 10.1007/978-3-031-94959-3_4
DO - 10.1007/978-3-031-94959-3_4
M3 - Conference contribution
SN - 9783031949586
VL - 15711 LNCS
T3 - Lecture Notes in Computer Science
SP - 46
EP - 58
BT - Persuasive Technology - 20th International Conference, PERSUASIVE 2025, Proceedings
A2 - Win, Khin Than
A2 - Ali, Raian
A2 - Karapanos, Evangelos
A2 - Papadopoulos, George A.
A2 - Oyibo, Kiemute
A2 - Vlahu-Gjorgievska, Elena
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 5 May 2025 through 7 May 2025
ER -