Ine Coppens

According to our database, Ine Coppens authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

User Model. User Adapt. Interact., November, 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

User Model. User Adapt. Interact., March, 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

Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

Balancing Habit Repetition and New Activity Exploration: A Longitudinal Micro-Randomized Trial in Physical Activity Recommendations.

Ine Coppens, Toon De Pessemier, Luc Martens

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Explaining Decision-Making between Exploration and Repetition: Key Factors for Physical Activity Recommendations.

Ine Coppens, Toon De Pessemier, Luc Martens

Proceedings of the 6th International Workshop on Health Recommender Systems (HealthRecSys 2024) co-located with 18th ACM Conference on Recommender Systems (RecSys 2024), 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

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Motivating People to Move More with Personalized Activity and Tip Recommendations: a Randomized Controlled Trial.

Ine Coppens, Luc Martens, Toon De Pessemier

Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Comparing Familiar with Inspiring Recommendations to Assist People in Moving More 8-16.

Ine Coppens, Luc Martens, Toon De Pessemier

Proceedings of the Joint Proceedings of the IUI 2023 Workshops: HAI-GEN, 2023

2020

Evaluating facial recognition services as interaction technique for recommender systems.

Toon De Pessemier, Ine Coppens, Luc Martens

Multim. Tools Appl., 2020

2019

Using Facial Recognition Services as Implicit Feedback for Recommenders.

Toon De Pessemier, Ine Coppens, Luc Martens

Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems(RecSys 2019), 2019