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Biography [eng]

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:

  • Personalization
  • User modeling
  • Persuasive technologies
  • Recommender systems
Publications (10 of 18) Show all publications
Xu, Y., Ferwerda, B. & Lee, M. J. (2020). A Qualitative Study of User Participation and Challenges in a Social Shopping Context. In: : . Paper presented at 25th International Conference on Intelligent User Interfaces, IUI 2020, Cagliary, Italy, 17 - 20 March 2020. Association for Computing Machinery (ACM)
Open this publication in new window or tab >>A Qualitative Study of User Participation and Challenges in a Social Shopping Context
2020 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Social shopping enables people to share and discuss about shopping in collaborative shopping environments. While much work has focused on using social data to promote shopping, fewer works have examined the way people socialize in the context of shopping as a personalized collaborative activity. In this paper, we propose to use qualitative methods to gain insight into people’s perceptions, concerns, and challenges in social shopping-related activities. Based on the findings, our work may contribute to the design of future online shopping sites and social media platforms that improve user engagement and participation in social shopping interactions, as well as facilitating personalized shopping and social experiences in online communities.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2020
Keywords
Personalization, Interface Design, Social Context, Social Shopping, Social Network
National Category
Human Aspects of ICT
Identifiers
urn:nbn:se:hj:diva-47875 (URN)
Conference
25th International Conference on Intelligent User Interfaces, IUI 2020, Cagliary, Italy, 17 - 20 March 2020
Available from: 2020-02-24 Created: 2020-02-24 Last updated: 2020-02-24
Bauer, C. & Ferwerda, B. (2020). Conformity Behavior in Group Playlist Creation. In: : . Paper presented at CHI 2020, Conference on Human Factors in Computing Systems, April 25-30, Honolulu, Hawaii, USA.
Open this publication in new window or tab >>Conformity Behavior in Group Playlist Creation
2020 (English)Conference paper, Published paper (Refereed)
Abstract [en]

A strong research record on conformity has evidenced that individuals tend to conform with a group’s majority opinion. In contrast to existing literature that investigates conformity to a majority group opinion against an objectively correct answer, the originality of our study lies in that we investigate conformity in a subjective context. The emphasis of our analysis lies on the concept of “switching direction” in favor or against an item. We present first results from an online experiment where groups of five had to create a music playlist. A song was added to the playlist with an unanimous positive decision only. After seeing the other group members’ ratings, participants had the opportunity to revise their own response. Our results suggest different conformity behaviors for originally favored compared to disliked songs. For favored songs, one negative judgement by another group member was sufficient to induce participants to downvote the song. For originally disliked songs, in contrast, a majority of positive judgements was needed to induce participants to switch their vote.

Keywords
Conformity behavior, social influence, music playlist creation, group music playlists, group recommendation
National Category
Media and Communications
Identifiers
urn:nbn:se:hj:diva-47801 (URN)10.1145/3334480.3382942 (DOI)
Conference
CHI 2020, Conference on Human Factors in Computing Systems, April 25-30, Honolulu, Hawaii, USA
Available from: 2020-02-17 Created: 2020-02-17 Last updated: 2020-02-17
Graus, M. P., 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. In: International Conference on Intelligent User Interfaces, Proceedings IUI: . Paper presented at 25th International Conference on Intelligent User Interfaces, IUI 2020, 17-20 March 2020, Cagliari, Italy (pp. 19-20). Association for Computing Machinery (ACM)
Open this publication in new window or tab >>Fourth HUMANIZE workshop on transparency and explainability in adaptive systems through user modeling grounded in psychological theory: Summary
2020 (English)In: International Conference on Intelligent User Interfaces, Proceedings IUI, Association for Computing Machinery (ACM), 2020, p. 19-20Conference paper, Published paper (Refereed)
Abstract [en]

The fourth HUMANIZE workshop1 on Transparency and Explainability in Adaptive Systems through User Modeling Grounded in Psychological Theory took place in conjunction with the 25th annual meeting of the Intelligent User Interfaces (IUI)2 community in Cagliari, Italy on March 17, 2020. The workshop provided a venue for researchers from different fields to interact by accepting contributions on the intersection of practical data mining methods and theoretical knowledge for personalization. A total of four papers was accepted for this edition of the workshop. 

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2020
Keywords
Personalization, Tailoring, User Interfaces, User Modeling, Adaptive systems, Data mining, Transparency, Data mining methods, Intelligent User Interfaces, Personalizations, Psychological theory
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:hj:diva-48197 (URN)10.1145/3379336.3379352 (DOI)2-s2.0-85082174983 (Scopus ID)9781450375139 (ISBN)
Conference
25th International Conference on Intelligent User Interfaces, IUI 2020, 17-20 March 2020, Cagliari, Italy
Available from: 2020-04-23 Created: 2020-04-23 Last updated: 2020-04-23Bibliographically approved
Graus, M. P., Ferwerda, B., Tkalčič, M. & Germanakos, P. (2019). A summary of the third workshop on theory-informed user modeling for tailoring and personalizing interfaces. In: Parra D.,Riche N.,Trattner C. (Ed.), CEUR Workshop Proceedings: . Paper presented at 2019 Joint ACM IUI Workshops, ACMIUI-WS 2019; Los Angeles, United States, 20 March 2019. CEUR-WS, 2327
Open this publication in new window or tab >>A summary of the third workshop on theory-informed user modeling for tailoring and personalizing interfaces
2019 (English)In: CEUR Workshop Proceedings / [ed] Parra D.,Riche N.,Trattner C., CEUR-WS , 2019, Vol. 2327Conference paper, Published paper (Refereed)
Abstract [en]

The third workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces (HUMANIZE) 1 took place in conjunction with the 24th annual meeting of the intelligent user interfaces (IUI) 2 community in Los Angeles, CA, USA on March 20, 2019. The goal of the workshop was to attract researchers from different fields by accepting contributions on the intersection of practical data mining methods and theoretical knowledge for personalization. A total of six papers were accepted for this edition of the workshop. 

Place, publisher, year, edition, pages
CEUR-WS, 2019
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073
Keywords
Personalization, Tailoring, User interfaces, User modeling, Data mining, Data mining methods, Intelligent User Interfaces, Los angeles, ca, Personalizations
National Category
Other Engineering and Technologies Interaction Technologies
Identifiers
urn:nbn:se:hj:diva-43414 (URN)2-s2.0-85063194490 (Scopus ID)
Conference
2019 Joint ACM IUI Workshops, ACMIUI-WS 2019; Los Angeles, United States, 20 March 2019
Available from: 2019-04-02 Created: 2019-04-02 Last updated: 2019-11-19Bibliographically approved
Ferwerda, B. & Tkalcic, M. (2019). Exploring Online Music Listening Behaviors of Musically Sophisticated Users. In: ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization: . Paper presented at The 27th ACM Conference On User Modeling, Adaptation And Personalization, 9-12 June, Larnaca, Cyprus (pp. 33-37).
Open this publication in new window or tab >>Exploring Online Music Listening Behaviors of Musically Sophisticated Users
2019 (English)In: ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization, 2019, p. 33-37Conference paper, Published paper (Refereed)
Abstract [en]

Due to the rise of available online music, a lot of music consumption is moving from traditional offline media to online sources. Online music sources offer almost an unlimited music collection to its users. Hence, how music is consumed by users (e.g., experts) may differ from traditional offline sources. In this work we explored how musically sophisticated users (i.e. experts) consume online music in terms of diversity. To analyze this, we gathered data from two different sources: Last.fm and Spotify. As expertise is defined by the ubiquitousness of experiences, we calculated different diversity measurements to explore how ubiquitous (in terms of diversity) the listening behaviors of users are. We found that different musical sophistication levels correspond to applying diversity related to specific kind of musical characteristics (i.e., artist or genre). Our results can provide knowledge on how systems should be designed to provide better support to expert users.

Keywords
Music, Expertise, Musical Sophistication, User Modeling, Music Listen Behaviors
National Category
Interaction Technologies Social Sciences Other Engineering and Technologies not elsewhere specified
Identifiers
urn:nbn:se:hj:diva-43566 (URN)10.1145/3314183.3324974 (DOI)000507579500006 ()2-s2.0-85068684354 (Scopus ID)9781450367110 (ISBN)
Conference
The 27th ACM Conference On User Modeling, Adaptation And Personalization, 9-12 June, Larnaca, Cyprus
Available from: 2019-05-02 Created: 2019-05-02 Last updated: 2020-02-17Bibliographically approved
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
Open this publication in new window or tab >>Personality and taxonomy preferences, and the influence of category choice on the user experience for music streaming services
2019 (English)In: Multimedia tools and applications, ISSN 1380-7501, E-ISSN 1573-7721, Vol. 78, no 14, p. 20157-20190Article in journal (Refereed) Published
Abstract [en]

Music streaming services increasingly incorporate different ways for users to browse for music. Next to the commonly used “genre” taxonomy, nowadays additional taxonomies, such as mood and activities, are often used. As additional taxonomies have shown to be able to distract the user in their search, we looked at how to predict taxonomy preferences in order to counteract this. Additionally, we looked at how the number of categories presented within a taxonomy influences the user experience. We conducted an online user study where participants interacted with an application called “Tune-A-Find”. We measured taxonomy choice (i.e., mood, activity, or genre), individual differences (e.g., personality traits and music expertise factors), and different user experience factors (i.e., choice difficulty and satisfaction, perceived system usefulness and quality) when presenting either 6- or 24-categories within the picked taxonomy. Among 297 participants, we found that personality traits are related to music taxonomy preferences. Furthermore, our findings show that the number of categories within a taxonomy influences the user experience in different ways and is moderated by music expertise. Our findings can support personalized user interfaces in music streaming services. By knowing the user’s personality and expertise, the user interface can adapt to the user’s preferred way of music browsing and thereby mitigate the problems that music listeners are facing while finding their way through the abundance of music choices online nowadays.

Place, publisher, year, edition, pages
Springer, 2019
Keywords
Personality, Taxonomy, Music, Categorization, Overchoice, Choice overload, Music sophistication
National Category
Other Engineering and Technologies Media and Communications Social Sciences Interdisciplinary
Identifiers
urn:nbn:se:hj:diva-43207 (URN)10.1007/s11042-019-7336-7 (DOI)000475703800056 ()2-s2.0-85062626772 (Scopus ID)HOA JTH 2019;JTHDatateknikIS (Local ID)HOA JTH 2019;JTHDatateknikIS (Archive number)HOA JTH 2019;JTHDatateknikIS (OAI)
Available from: 2019-02-27 Created: 2019-02-27 Last updated: 2019-08-14Bibliographically approved
Ferwerda, B. & Lee, M. (2019). Tamagotchi++: A Serious, Personalized Game to Encourage Healthy Behavior. In: Parra D.,Riche N.,Trattner C. (Ed.), Companion Proceedings of the 24th International on Intelligent User Interfaces: 3rd Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces (HUMANIZE): . Paper presented at 24th International on Intelligent User Interfaces (IUI), March 16-20, 2019, Los Angeles, USA. CEUR-WS, 2327
Open this publication in new window or tab >>Tamagotchi++: A Serious, Personalized Game to Encourage Healthy Behavior
2019 (English)In: Companion Proceedings of the 24th International on Intelligent User Interfaces: 3rd Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces (HUMANIZE) / [ed] Parra D.,Riche N.,Trattner C., CEUR-WS , 2019, Vol. 2327Conference paper, Published paper (Refereed)
Abstract [en]

With life expectancy steadily increasing, healthy aging is becoming more important. Especially at a later age, the susceptibility to complications, such as morbidity, increases. Engaging in sufficient physical activities throughout a lifespan lowers the chances on such complications and contributes to an increased quality of life. However, the vast majority of the world's population does not engage enough in any form of physical activity. In this position paper we propose a serious game solution to promote physical activities based on the popular Tamagotchi from the 90's. We propose the virtual character of which the user needs to take care of to be a reflection of oneself. Thereby, any (in)activities of the user is directly reflected through the emotional and physical state of the character. Through the character, we hope to increase engagement in physical activities and facilitate long term behavioral change. Furthermore, we propose additional features and open research questions.

Place, publisher, year, edition, pages
CEUR-WS, 2019
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073
Keywords
Serious Games, Personalization; Health, Tamagotchi
National Category
Other Engineering and Technologies
Identifiers
urn:nbn:se:hj:diva-43108 (URN)2-s2.0-85063225624 (Scopus ID)
Conference
24th International on Intelligent User Interfaces (IUI), March 16-20, 2019, Los Angeles, USA
Available from: 2019-02-19 Created: 2019-02-19 Last updated: 2019-04-02Bibliographically approved
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
Open this publication in new window or tab >>Theory-grounded user modeling for personalized HCI
2019 (English)In: Personalized human-computer interaction / [ed] M. Augstein, E. Herder & W. Wörndl, Berlin: Walter de Gruyter, 2019Chapter in book (Refereed)
Abstract [en]

Personalized systems are systems that adapt themselves to meet the inferred needs of individual users. The majority of personalized systems mainly rely on data describing how users interacted with these systems. A common approach is to use historical data to predict users’ future needs, preferences, and behavior to subsequently adapt the system to cater to these predictions. However, this adaptation is often done without leveraging the theoretical understanding between behavior and user traits that can be used to characterize individual users or the relationship between user traits and needs that can be used to adapt the system. Adopting a more theoretical perspective can benefit personalization in two ways: (i) letting systems rely on theory can reduce the need for extensive data-driven analysis, and (ii) interpreting the outcomes of data-driven analysis (such as predictive models) from a theoretical perspective can expand our knowledge about users. However, incorporating theoretical knowledge in personalization brings forth a number of challenges. In this chapter, we review literature that taps into aspects of (i) psychological models from traditional psychological theory that can be used in personalization, (ii) relationships between psychological models and online behavior, (iii) automated inference of psychological models from data, and (iv) how to incorporate psychological models in personalized systems. Finally, we propose a step-by-step approach on how to design personalized systems that take users’ traits into account.

Place, publisher, year, edition, pages
Berlin: Walter de Gruyter, 2019
Series
De Gruyter Textbook
Keywords
personalization, psychological models, cognitive models, psychology, user modeling, theory-driven
National Category
Interaction Technologies Media Engineering Psychology
Identifiers
urn:nbn:se:hj:diva-43615 (URN)9783110552485 (ISBN)9783110552614 (ISBN)
Available from: 2019-05-09 Created: 2019-05-09 Last updated: 2019-05-28Bibliographically approved
Graus, M., Ferwerda, B., Tkalcic, M. & Germanakos, P. (2019). Third workshop on theory-informed user modeling for tailoring and personalizing interfaces (HUMANIZE): preface. In: International Conference on Intelligent User Interfaces, Proceedings IUI: . Paper presented at 24th International Conference on Intelligent User Interfaces, IUI 2019, Marina del Ray, United States, 16 - 20 March 2019 (pp. 127-128). Association for Computing Machinery (ACM)
Open this publication in new window or tab >>Third workshop on theory-informed user modeling for tailoring and personalizing interfaces (HUMANIZE): preface
2019 (English)In: International Conference on Intelligent User Interfaces, Proceedings IUI, Association for Computing Machinery (ACM), 2019, p. 127-128Conference paper, Published paper (Refereed)
Abstract [en]

The third workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces (HUMANIZE)1 took place in conjunction with the 24th annual meeting of the intelligent user interfaces (IUI)2 community in Los Angeles, CA, USA on March 20, 2019. The goal of the workshop was to attract researchers from different fields by accepting contributions on the intersection of practical data mining methods and theoretical knowledge for personalization. A total of six papers were accepted for this edition of the workshop.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2019
Keywords
Personalization, Tailoring, User interfaces, User modeling, Data mining, Data mining methods, Intelligent User Interfaces
National Category
Other Engineering and Technologies Interaction Technologies
Identifiers
urn:nbn:se:hj:diva-43450 (URN)10.1145/3308557.3313113 (DOI)2-s2.0-85074452320 (Scopus ID)9781450366731 (ISBN)
Conference
24th International Conference on Intelligent User Interfaces, IUI 2019, Marina del Ray, United States, 16 - 20 March 2019
Available from: 2019-04-11 Created: 2019-04-11 Last updated: 2019-11-19
Eriksson, M. & Ferwerda, B. (2019). Towards a User Experience Framework for Business Intelligence. Journal of Computer Information Systems
Open this publication in new window or tab >>Towards a User Experience Framework for Business Intelligence
2019 (English)In: Journal of Computer Information Systems, ISSN 0887-4417Article in journal (Refereed) Epub ahead of print
Abstract [en]

Business intelligence (BI) systems are software applications that are used to gather and process data and to deliver the processed data in understandable way to the end users. With a younger generation of users moving into key positions in organizations and enterprises higher user experience (UX) demands are placed on BI systems interfaces. Companies developing BI systems lack standardized routines for implementing UX in their BI solutions. The purpose of this study was to develop a theoretical framework based on existing research and combine it with empirical data gathered from professionals in BI systems industry in Sweden with the intention of proposing a UX framework applicable to BI systems development. The study resulted in a framework being developed using iterative build-evaluate iterations. The framework is a scalable UX framework for BI systems interfaces covering areas from planning and strategizing to implementation, maintenance, and evaluation.

Place, publisher, year, edition, pages
Taylor & Francis, 2019
Keywords
business intelligence, framework, User experience, Application programs, Competitive intelligence, Business intelligence systems, Software applications, Systems development, Theoretical framework, User experiences (ux), Younger generations, Information analysis
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:hj:diva-47239 (URN)10.1080/08874417.2019.1693936 (DOI)000503624600001 ()2-s2.0-85076897762 (Scopus ID)
Available from: 2020-01-07 Created: 2020-01-07 Last updated: 2020-01-07
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Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-4344-9986

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