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Researcher
Ine Coppens
Profile
Projects
Publications
Activities
Awards & Distinctions
11
Results
2025
I like the way I move : personalizing recommendations to motivate daily physical activity
Ine Coppens
Luc Martens
Toon De Pessemier
Dissertation
2025
2024
Balancing habit repetition and new activity exploration : a longitudinal micro-randomized trial in physical activity recommendations
Ine Coppens
Toon De Pessemier
Luc Martens
P1
Conference
2024
Connecting physical activity with context and motivation : a user study to define variables to integrate into mobile health recommenders
Ine Coppens
Toon De Pessemier
Luc Martens
A1
Journal Article
in
USER MODELING AND USER-ADAPTED INTERACTION
2024
Explaining decision-making between exploration and repetition : key factors for physical activity recommendations
Ine Coppens
Toon De Pessemier
Luc Martens
C1
Conference
2024
Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity : a longitudinal randomized controlled trial
Ine Coppens
Toon De Pessemier
Luc Martens
A1
Journal Article
in
USER MODELING AND USER-ADAPTED INTERACTION
2024
Repeating my workouts or exploring new activities? A longitudinal micro-randomized user study for physical activity recommender systems
Ine Coppens
Toon De Pessemier
Luc Martens
P1
Conference
2024
2023
Analyzing accuracy versus diversity in a health recommender system for physical activities : a longitudinal user study
Ine Coppens
Luc Martens
Toon De Pessemier
P1
Conference
2023
Comparing familiar with inspiring recommendations to assist people in moving more
Ine Coppens
Luc Martens
Toon De Pessemier
C1
Conference
2023
Motivating people to move more with personalized activity and tip recommendations : a randomized controlled trial
Ine Coppens
Luc Martens
Toon De Pessemier
C1
Conference
2023
2020
Evaluating facial recognition services as interaction technique for recommender systems
Toon De Pessemier
Ine Coppens
Luc Martens
A1
Journal Article
in
MULTIMEDIA TOOLS AND APPLICATIONS
2020
2019
Using facial recognition services as implicit feedback for recommenders
Toon De Pessemier
Ine Coppens
Luc Martens
C1
Conference
2019