Bruce Ferwerda

Universitetslektor
Avdelningen för datateknik och informatik , Tekniska Högskolan i Jönköping AB

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Research

Bruce’s main research interests lies in investigating the user experience of consumer products. The user experience involves many different aspects in which special interest is taken in:

  • User experience
  • Experimental psychology
  • Personalization
  • User modeling
  • Persuasive technologies
  • Recommender systems

 

Bibliography

Born and raised in the Netherlands, Bruce completed his bachelor and master degree there. He holds an engineering bachelor (BEng) from Amsterdam University of Applied Sciences in E-Technology (2009) and received a science master (MSc) from Eindhoven University of Technology in Human-Technology Interaction (2012). After that, he pursued his PhD at the Johannes Kepler University (Linz, Austria) in Technical Science (2016). Since 2017 he works as an assistant professor at Jönköping University in the Department of Computer Science and Informatics (School of Engineering) and is a recurring visiting assistant professor at Kasetsart University (Bangkok, Thailand) in the Department of Computer Engineering (Faculty of Engineering). At Jönköping University, Bruce leads the HCI-Lab (for more information see: HCI Lab).

Bruce furthermore was a (visiting) researcher at Waseda University (Tokyo, Japan), Yonsei University (Seoul, South Korea), and University of California, Irvine (Irvine, CA, USA).

More information about Bruce’s work and publications can be found on his Google Scholar profile or website (http://www.bruceferwerda.com). The publications section on this page only represent work that has been done at Jönköping University.

Antologibidrag

Knees, P., Schedl, M., Ferwerda, B., Laplante, A. (2019). User Awareness in Music Recommender Systems. In: M. Augstein, E. Herder & W. Wörndl (Ed.), Personalized human-computer interaction Berlin: Walter de Gruyter
Graus, M., Ferwerda, B. (2019). Theory-grounded user modeling for personalized HCI. In: M. Augstein, E. Herder & W. Wörndl (Ed.), Personalized human-computer interaction Berlin: Walter de Gruyter

Artikel

Ferwerda, B., Yang, E., Schedl, M., Tkalcic, M. (2019). Personality and taxonomy preferences, and the influence of category choice on the user experience for music streaming services Multimedia tools and applications, 78(14), 20157-20190.
Eriksson, M., Ferwerda, B. (2019). Towards a User Experience Framework for Business Intelligence Journal of Computer Information Systems.

Konferensbidrag

Xu, Y., Ferwerda, B., Lee, M. (2020). A Qualitative Study of User Participation and Challenges in a Social Shopping Context. 25th International Conference on Intelligent User Interfaces, IUI 2020, Cagliary, Italy, 17 - 20 March 2020.
Graus, M., Ferwerda, B., Tkalcic, M., Germanakos, P. (2020). Fourth HUMANIZE workshop on transparency and explainability in adaptive systems through user modeling grounded in psychological theory: Summary. 25th International Conference on Intelligent User Interfaces, IUI 2020, 17-20 March 2020, Cagliari, Italy.
Ferwerda, B., Tkalčič, M. (2020). Exploring the Prediction of Personality Traits from Drug Consumption Profiles. UMAP '20: 28th ACM Conference on User Modeling, Adaptation and Personalization, Genoa, Italy, 12-18 July, 2020.
Bauer, C., Ferwerda, B. (2020). Conformity Behavior in Group Playlist Creation. CHI 2020, Conference on Human Factors in Computing Systems, April 25-30, Honolulu, Hawaii, USA.
Ghaffari, M., Khan, G., Ferwerda, B., Singh, S. (2020). Music Oh my Music: A Network Perspective on Online Music Listening Behaviour. Australasian Conference on Information Systems, 1-4 December 2020, Wellington, New Zealand.
Ferwerda, B., Lee, M. (2019). Tamagotchi++: A Serious, Personalized Game to Encourage Healthy Behavior. 24th International on Intelligent User Interfaces (IUI), March 16-20, 2019, Los Angeles, USA.
Kiunsi, D., Ferwerda, B. (2019). Using a Serious Game to Teach User-Centered Design. 24th International on Intelligent User Interfaces (IUI), March 16-20, 2019, Los Angeles, USA.
Graus, M., Ferwerda, B., Tkalčič, M., Germanakos, P. (2019). A summary of the third workshop on theory-informed user modeling for tailoring and personalizing interfaces. 2019 Joint ACM IUI Workshops, ACMIUI-WS 2019; Los Angeles, United States, 20 March 2019.
Ferwerda, B., Tkalcic, M. (2019). Exploring Online Music Listening Behaviors of Musically Sophisticated Users. The 27th ACM Conference On User Modeling, Adaptation And Personalization, 9-12 June, Larnaca, Cyprus.
Graus, M., Ferwerda, B., Tkalcic, M., Germanakos, P. (2019). Third workshop on theory-informed user modeling for tailoring and personalizing interfaces (HUMANIZE): preface. 24th International Conference on Intelligent User Interfaces, IUI 2019, Marina del Ray, United States, 16 - 20 March 2019.
Ferwerda, B., Tkalcic, M. (2018). Predicting Users' Personality from Instagram Pictures: Using Visual and/or Content Features?. The 26th ACM International Conference on User Modeling, Adaptation and Personalization, Singapore, 8 - 11 July, 2018.
Tkalcic, M., Ferwerda, B. (2018). Eudaimonic Modeling of Moviegoers. The 26th Conference on User Modeling, Adaptation and Personalization, Singapore (2018).
Tkalcic, M., Ferwerda, B. (2018). Theory-driven Recommendations: Modeling Hedonic and Eudaimonic Movie Preferences. Aachen: CEUR-WS, 9th Italian Information Retrieval Workshop, Rome, May 28 – 30, 2018.
Lay, A., Ferwerda, B. (2018). Predicting Users’ Personality Based on Their ‘Liked’ Images on Instagram. The 23rd International on Intelligent User Interfaces, March 7-11, 2018.
Ferwerda, B., Tkalcic, M. (2018). You Are What You Post: What the Content of Instagram Pictures Tells About Users’ Personality. The 23rd International on Intelligent User Interfaces, March 7-11, Tokyo, Japan.
Ferwerda, B., Graus, M. (2018). Predicting Musical Sophistication from Music Listening Behaviors: A Preliminary Study. 12th ACM Conference on Recommender Systems.
Graus, M., Ferwerda, B., Tkalcic, M., Germanakos, P. (2018). Second workshop on theory-informed user modeling for tailoring and personalizing interfaces (HUMANIZE): Workshop preface. 2018 Joint ACM IUI Workshops, ACMIUI-WS 2018, Tokyo, Japan, 11 March 2018.
Schedl, M., Ferwerda, B. (2017). Large-scale Analysis of Group-specific Music Genre Taste From Collaborative Tags. The 19th IEEE International Symposium on Multimedia (ISM2017), Taichung, Taiwan, December 11-13, 2017..
Schedl, M., Lemmerich, F., Ferwerda, B., Skowron, M., Knees, P. (2017). Indicators of Country Similarity in Terms of Music Taste, Cultural, and Socio-economic Factors. The 19th IEEE International Symposium on Multimedia (ISM2017), Taichung, Taiwan, December 11-13, 2017..
Ferwerda, B., Tkalcic, M., Schedl, M. (2017). Personality Traits and Music Genre Preferences: How Music Taste Varies Over Age Groups. 1st Workshop on Temporal Reasoning in Recommender Systems (RecTemp) at the 11th ACM Conference on Recommender Systems, Como, August 31, 2017..

Proceedings (redaktörskap)

Graus, M., Ferwerda, B., Tkalcic, M., Germanakos, P. (Eds.). (2018). Second Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces (HUMANIZE).