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University of Bergen
Alain Starke's picture

Alain Starke

Department of Information Science and Media Studies
linkedin
  • E-mailalain.starke@uib.no
  • Visitor Address
    Fosswinckelsgt. 6
    5007 Bergen
    Room 
    531
  • Postal Address
    Postboks 7802
    5020 Bergen

I investigate how people make decisions using personalized technology, in the energy and food domains. My latest paper is open access and can be found HERE

Academic article
  • Show author(s) (2023). Healthiness and environmental impact of dinner recipes vary widely across developed countries. Nature Food. 407-415.
  • Show author(s) (2022). Developing and Evaluating a University Recommender System. Frontiers in Artificial Intelligence.
  • Show author(s) (2022). Determinants of consumer acceptance and use of personalized dietary advice: A systematic review. Trends in Food Science & Technology. 277-294.
  • Show author(s) (2021). Using natural language processing and artificial intelligence to explore the nutrition and sustainability of recipes and food. Frontiers in Artificial Intelligence. 1-8.
  • Show author(s) (2021). Promoting Energy-Efficient Behavior by Depicting Social Norms in a Recommender Interface. ACM transactions on interactive intelligent systems. 1-32.
  • Show author(s) (2021). Nudging Healthy Choices in Food Search Through Visual Attractiveness. Frontiers in Artificial Intelligence. 18 pages.
  • Show author(s) (2020). Beyond “one-size-fits-all” platforms: Applying Campbell's paradigm to test personalized energy advice in the Netherlands. Energy Research & Social Science.
Academic lecture
  • Show author(s) (2022). Using Explanatory Nudges to Support ‘Better’ Decision-Making in Recommender Systems.
Academic chapter/article/Conference paper
  • Show author(s) (2022). Unifying Recommender Systems and Conversational User Interfaces. 7 pages.
  • Show author(s) (2022). Nudging Towards Health? Examining the Merits of Nutrition Labels and Personalization in a Recipe Recommender System. 9 pages.
  • Show author(s) (2022). Nudging Towards Health in a Conversational Food Recommender System Using Multi-Modal Interactions and Nutrition Labels.
  • Show author(s) (2022). Examining Choice Overload across Single-list and Multi-list User Interfaces. 15 pages.
  • Show author(s) (2022). Boosting Health? Examining the Role of Nutrition Labels and Preference Elicitation Methods in Food Recommendation. 18 pages.
  • Show author(s) (2021). “Serving Each User”: Supporting Different Eating Goals Through a Multi-List Recommender Interface. 9 pages.
  • Show author(s) (2021). Voicing Concerns: User-Specific Pitfalls of Favoring Voice over Text in Conversational Recommender Systems. 5 pages.
  • Show author(s) (2021). Using Explanations as Energy-Saving Frames: A User-Centric Recommender Study. 9 pages.
  • Show author(s) (2021). The Cholesterol Factor: Balancing Accuracy and Health in Recipe Recommendation Through a Nutrient-Specific Metric. 11 pages.
  • Show author(s) (2021). Promoting Healthy Food Choices Online: A Case for Multi-List Recommender Systems. 3 pages.
  • Show author(s) (2021). Predicting Feature-based Similarity in the News Domain Using Human Judgments. 14 pages.
  • Show author(s) (2021). Nudging Healthy Choices in Food Search Through List Re-Ranking. 6 pages.
  • Show author(s) (2021). Exploring the effects of natural language justifications on food recommender systems. 11 pages.
  • Show author(s) (2021). Conversational Futures: Emancipating Conversational Interactions for Futures Worth Wanting. 13 pages.
  • Show author(s) (2021). Changing Salty Food Preferences with Visual and Textual Explanations in a Search Interface. 8 pages.
  • Show author(s) (2020). With a little help from my peers: Depicting social norms in a recommender interface to promote energy conservation. 11 pages.
Poster
  • Show author(s) (2021). Comparing the environmental impacts of recipes from four different recipe databases using Natural Language Processing.

More information in national current research information system (CRIStin)

  • Beyond "one-size-fits-all" platforms: Applying Campbell's paradigm to test personalized energy advice in the Netherlands. Starke, A.D., Willemsen, M.C. and Snijders, C.C.P. Energy Research and Social Science, 2020.  PDF
  • With a little help from my peers: Depicting social norms in a recommender interface to promote energy conservation. Starke, A.D., Willemsen, M.C. and Snijders, C.C.P. Proceedings of the 25th International Conference of Intelligent User Interfaces (IUI), 2020.  PDF
  • Supporting energy-efficient choices using Rasch-based recommender interfaces. Starke, A.D. Dissertation - Eindhoven University of Technology, 2019.  PDF
  • RecSys Challenges in achieving sustainable eating habits. Starke, A.D. Proceedings of the 4th workshop on Health Recommender Systems, 2019.  PDF
  • The effectiveness of advice solicitation and social peers in an energy recommender system. Starke, A.D. Proceedings of the 6th Joint Workshop on Interfaces and Human Decision-making, 2019.  PDF
  • Food for tomorrow: How can we help users to eat more sustainably? We focus on the case of recommender systems and how algorithms and interfaces should be adapted to persuade user choices, but in terms of content and presentation. 
  • News Recommender Systems: How can we help journalists and consumers to discover news content that is more diverse?
Fields of competence 
Energy
Environmental Humanities
Recommender Systems

Research groups

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