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Alain Dominique Starke's picture

Alain Dominique Starke

Associate Professor, Visiting Postdoctoral Fellow
SFI – MediaFutures
  • E-mailAlain.Starke@uib.no
  • Visitor Address
    Fosswinckelsgt. 6
    5007 Bergen
    Room 
    531
  • Postal Address
    Postboks 7802

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) (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). Using natural language processing and artificial intelligence to explore the nutrition and sustainability of recipes and food. Frontiers in Artificial Intelligence.
  • 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 chapter/article/Conference paper
  • 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.

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?

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