Expertin
Mag. DI Dr. Bauer Christine

Christine Bauer ist EXDIGIT Professor of Interactive Intelligent Systems am FB Artificial Intelligence and Human Interfaces (AIHI) der Paris Lodron Universität Salzburg. Der Schwerpunkt ihrer Forschungsaktivitäten liegt auf Interactive Intelligent Systems, wobei sie die Forschung zu intelligenten Technologien, der Interaktion von Menschen mit intelligenten Systemen und deren Zusammenspiel integriert. Zentrale Themen ihrer Forschung sind Kontext und Kontextadaptivität. In jüngster Zeit konzentriert sie sich auf Empfehlungssysteme - insbesondere im Musik- und Medienbereich. Kerninteresse ihrer aktuellen Forschungsaktivitäten liegt auf Fairness in der algorithmischen Entscheidungsfindung. Sie ist Mitorganisatorin der Workshopreihe „Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES)“. Sie setzt sich für Chancengleichheit ein und engagiert sich in Initiativen wie Women in Music Information Retrieval (WiMIR) und dem Allyship-Programm der CHI.

Expertise

Informatik: Her research activities center on interactive intelligent systems, where she integrates research on intelligent technologies, the interaction of humans with intelligent systems, and their interplay. She takes a human-centered computing approach, where technology follows humans’ and society’s needs. Central themes in her research are context and context-adaptivity. Recently, she has focused on context-aware recommender systems and concentrates on recommender systems in the music and media sector in particular. Core interests in her research activities are fairness in algorithmic decision-making and multi-method evaluation.

Schlagworte

  • context-adaptive systems
  • recommender systems
  • music recommender systems
  • cultural studies
  • user behavior
  • human-computer interaction
  • algorithmic curation
  • human-centered computing
  • algorithmic decision-making
  • personalization
  • Fairness
  • Personalisierung
  • Empfehlungssysteme
  • Mensch-Computer Interaktion
  • Musikwirtschaft
  • Artists
  • KI-Anwendung
  • Nudging

Verfügbar für

    Interviews
    Jury
    Kooperationen
    Mentoring
    Projektleitung
    Vortragstätigkeiten

Beruflich

Oberes Management

Tätigkeitsbereiche:
  • Universität

Ausbildung

Universität (2009)
Sozial- und Wirtschaftswissenschaften

Zusatzausbildung(en)
2 Jahre Jazz-Saxophon-Studium

Weitere Fachrichtungen, weitere Ausbildungen
Diplomstudium Internationale Betriebswirtschaft Masterstudium Wirtschaftsinformatik Doktorat der Sozial- und Wirtschaftswissenschaften (Wirtschaftsinformatik)

Sprachen

  • Deutsch
  • Englisch
  • Französisch
  • Spanisch
  • Niederländisch
Mehr Details
  • Deutsch

    Schriftlich: Muttersprache / wie Muttersprache
    Konversation: Muttersprache / wie Muttersprache

  • Englisch

    Schriftlich: Muttersprache / wie Muttersprache
    Konversation: Muttersprache / wie Muttersprache

  • Französisch

    Schriftlich: Grundkenntnisse
    Konversation: Grundkenntnisse

  • Spanisch

    Schriftlich: Grundkenntnisse
    Konversation: Grundkenntnisse

  • Niederländisch

    Schriftlich: Gute Kenntnisse
    Konversation: Gute Kenntnisse

Referenzen

Auszeichnungen / Preise

https://www.christinebauer.eu/awards/​ 

1 Career Grant

Elise Richter laureate - Career grant, personal grant, excellence program, 02/2017–01/2020, Austrian Science Fund (FWF)
Project “Fine-grained culture-aware music recommender systems” (~265 kEUR)

2 Honors for Reviewing Activities

  • RecSys 2022, Outstanding Reviewer; for 3 papers: Special Recognition for Outstanding Review
  • UMAP 2022, Best Reviewer Award
  • IUI 2022, Special Recognition for Outstanding Review
  • RecSys 2020, Special Recognition for Outstanding Review, Nomination for Best Reviewer Award
  • CHI 2020, Special Recognition for Outstanding Review
  • RecSys 2019, Best Reviewer Award
  • UMAP 2019, Outstanding Reviewer (Honorable Mention)
  • RecSys 2018, Best Reviewer – Runner-Up

3 Honors for Research Activities

  • Women in RecSys 2023 Journal Paper of the Year Award (“Senior”)
    [J24] Eva Zangerle & Christine Bauer (2022). Evaluating recommender systems: survey and framework. ACM Computing Surveys, 55(8), 170, ACM. DOI: 10.1145/3556536

  • UMAP 2023, Nomination for Best Student Paper Award
    [C45], Karlijn Dinnissen & Christine Bauer (2023). Amplifying artists' voices: item provider perspectives on influence and fairness of music streaming platforms. Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2023), Limassol, Cyprus, 26–29 June, ACM, pp 238–249. DOI: 10.1145/3565472.3592960

  • HICSS 2018, Nomination for Best Paper Award
    [C33] Christine Bauer, Katharina Sophie Schmid, & Christine Strauss (2018). An open model for researching the role of culture in online self-disclosure. Proceedings of the 51st Hawaii International Conference on System Sciences (HICSS 2018). Waikoloa, Big Island, HI, USA, 3–6 January, pp 3637–3646. URL: http://hdl.handle.net/10125/50348. DOI: 10.24251/HICSS.2018.460
  • MoMM 2017, Best Paper Award
    [C31] Markus Schedl & Christine Bauer (2017). Introducing global and regional mainstreaminess for improving personalized music recommendation. Proceedings of the 15th International Conference on Advances in Mobile Computing & Multimedia (MoMM 2017). Salzburg, Austria, 4–6 December, ACM, pp 74–81. DOI: 10.1145/3151848.3151849
  • 2017 Emerald Literati Network Awards for Excellence, Award of Excellence 2017, Highly Commended Award
    [J7] Andreas Mladenow, Christine Bauer, & Christine Strauss (2016). ‘Crowd logistics’: the contribution of social crowds in logistics activities. International Journal of Web Information Systems, 12(3), Emerald, pp 379–396. DOI: 10.1108/IJWIS-04-2016-0020

  • DocEng 2016, Nomination for Best Paper Award + Nomination for Best Student Paper Award
    [C28] David Schölgens, Sven Müller, Christine Bauer, Roman Tilly, & Detlef Schoder (2016). Aesthetic measures for document layouts: operationalization and analysis in the context of marketing brochures. Proceedings of the ACM Symposium on Documents Engineering (DocEng 2016). Vienna, Austria, 13–16 September, ACM, pp 21–30. DOI: 10.1145/2960811.2960821

  • WU top journal prize, Top journal publication prize by WU Vienna, Austria
    [J11]  Christine Bauer & Anind K. Dey (2016). Considering context in the design of intelligent systems: current practices and suggestions for improvement. Journal of Systems and Software, 112(February), Elsevier, pp 26–47. DOI: 10.1016/j.jss.2015.10.041
  • CPDP 2013 Multidisciplinary Privacy Research Award (Computers, Privacy & Data Protection CPDP 2013)
    [C13] Sarah Spiekermann, Jana Korunovska, & Christine Bauer (2012). Psychology of ownership and asset defense: why people value their personal information beyond privacy. Proceedings of the International Conference on Information Systems (ICIS 2012), Orlando, FL, USA, 16–19 December, AIS.
  • Dr. Maria Schaumayer Stiftung, Dr. Maria Schaumayer Prize for Master’s thesis
    [TH3] Christine Bauer (2011). Out of the black box: modelling the processes of managing telephone bands. Master’s thesis, TU Wien (Vienna University of Technology), Austria.
  • Dr. Maria Schaumayer Stiftung, Dr. Maria Schaumayer Prize for Dissertation
    [TH2] Christine Bauer (2009). Promotive activities in technology-enhanced cooperative whole person learning. Doctoral thesis, University of Vienna, Austria.
  • WI 2009, Nomination for Best Paper Award
    [C7]   Christine Bauer, Kathrin Figl, Michael Derntl, Peter Paul Beran, & Sonja Kabicher (2009). Der Einsatz von Online-Peer-Reviews als kollaborative Lernform. Wirtschaftsinformatik (2). Proceedings of the 9. Internationale Tagung Wirtschaftsinformatik (WI 2009), Vienna, Austria, 25–27 February, OCG, pp 421–430.
  • e-Learning 2008, Best Research Paper Award
    [C3]   Kathrin Figl & Christine Bauer (2008). Online active listening and media competence. Proceedings of the IADIS International Conference e‑Learning (e-Learning 2008) (part of MCCSIS 2008), Amsterdam, The Netherlands, 22–25 July, IADIS, pp 20–214.

4  Other Nominations

Die Burgenländerin, Nomination for Top Woman in Technology & Innovation, 2020, Nominee among the top 66 women in Burgenland, Nominee among as women in the category Technology & Innovation (11 nominees)

Publikationen

https://www.christinebauer.eu/publications/​

Auszug:

1       Refereed Journal Articles

  • [J25] Mathias Jesse, Christine Bauer, & Dietmar Jannach (2022). Intra-list similarity and human diversity perceptions of recommendations: the details matter. User Modeling and User-Adapted Interaction, 33(4), Springer. DOI: 10.1007/s11257-022-09351-w
  • [J24] Eva Zangerle & Christine Bauer (2022). Evaluating recommender systems: survey and framework. ACM Computing Surveys, 5(8), 170. DOI: 10.1145/3556536
  • [J22] Dominik Kowald, Peter Müllner, Eva Zangerle, Christine Bauer, Markus Schedl, & Lex, Elisabeth (2021). Support the underground: characteristics of beyond-mainstream music listeners. EPJ Data Science, 10, 14, Springer. DOI: 10.1140/epjds/s13688-021-00268-9
  • [J20] Dietmar Jannach & Christine Bauer (2020). Escaping the McNamara Fallacy: toward more impactful recommender systems research. AI Magazine, 41(4), AAAI, pp 79–95. DOI: 10.1609/aimag.v41i4.5312
  • [J19] Christine Bauer & Markus Schedl (2019). Global and country-specific mainstreaminess measures: definitions, analysis, and usage for improving personalized music recommendation systems. PLOS ONE, 14(6), e0217389. DOI: 10.1371/journal.pone.0217389
  • [J14] Andreas Mladenow, Christine Bauer, & Christine Strauss (2016). ‘Crowd logistics’: the contribution of social crowds in logistics activities. International Journal of Web Information Systems, 12(3), Emerald, pp 379–396. DOI: 10.1108/IJWIS-04-2016-0020; Highly Commended Award in the 2017 Emerald Literati Network Awards for Excellence
  • [J13] Christine Bauer & Christine Strauss (2016). Location-based advertising on mobile devices: a literature review and analysis. Management Review Quarterly, 66(3), Springer, pp 159–194. DOI: 10.1007/s11301-015-0118-z
  • [J11] Christine Bauer & Anind K. Dey (2016). Considering context in the design of intelligent systems: current practices and suggestions for improvement. Journal of Systems and Software, 112, Elsevier, pp 26–47. DOI: 10.1016/j.jss.2015.10.041
  • [J8] Christine Bauer & Peter Lasinger (2014). Adaptation strategies to increase advertisement effectiveness in digital media. Management Review Quarterly, 64(2, April), Springer, pp 101–124. DOI: 10.1007/s11301-014-0101-0
  • [J4] Christine Bauer, Katharina Viola, & Christine Strauss (2011). Management skills for artists: ‘learning by doing’?. International Journal of Cultural Policy, 17(5), Routledge, pp 626–644. DOI: 10.1080/10286632.2010.531716

2       Refereed Conference Articles

  • [C45] Karlijn Dinnissen & Christine Bauer (2023). Amplifying artists' voices: item provider perspectives on influence and fairness of music streaming platforms. Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2023), Limassol, Cyprus, ACM, pp 238–249. DOI: 10.1145/3565472.3592960; nominated for Best Student Paper Award
  • [C42] Bruce Ferwerda & Christine Bauer (2022). To flip or not to flip: conformity effect across cultures. Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (CHI EA ’22), New Orleans, LA, USA, ACM, LBW 370. DOI: 10.1145/3491101.3519662
  • [LN6] Andrés Ferraro, Xavier Serra, & Christine Bauer (2021). What is fair? exploring the artists’ perspective on the fairness of music streaming platforms. Proceedings of the 18th IFIP International Conference on Human-Computer Interaction (INTERACT 2021). Bari, Italy. LNCS, Springer, pp 562–584. DOI: 10.1007/978-3-030-85616-8_33
  • [C41] Andrés Ferraro, Xavier Serra, & Christine Bauer (2021). Break the loop: gender imbalance in music recommenders. Proceedings of the 6th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2021), Canberra, ACT, Australia, ACM, pp 249–254. DOI: 10.1145/3406522.3446033
  • [C33] Christine Bauer, Katharina Sophie Schmid, & Christine Strauss (2018). An open model for researching the role of culture in online self-disclosure. Proceedings of the 51st Hawaii International Conference on System Sciences (HICSS 2018). Waikoloa, Big Island, HI, USA, pp 3637–3646. DOI: 10.24251/HICSS.2018.460 nominated for Best Paper Award

4 Book Sections

  • [BS3] Christine Bauer & Johanna Devaney (2022). Constructing gender in audio: exploring how the curation of the voice in music and speech influences our conception of gender identity. In: Marcus Erbe, Aycha Riffi, & Wolfgang Zielinski. Mediale Stimmentwürfe: Perspectives of media voice designs. Schriftenreihe zur digitalen Gesellschaft NRW, Band 7. Munich: kopaed Verlag.
  • [BS2] Christine Bauer (2018). Der Beitrag der Informatik zur Musikwirtschaftsforschung. In: Peter Tschmuck, Beate Flath, & Martin Lücke. Musikwirtschaftsforschung: Die Grundlagen einer neuen Disziplin. Musikwirtschafts- und Musikkulturforschung book series (MUSIK). Wiesbaden: Springer, pp 97–116. DOI: 10.1007/978-3-658-19399-7_6
Bauer Christine
Mag. DI Dr. Bauer Christine

Professorin

Paris Lodron Universität Salzburg

Kontakt

Letzte Aktualisierung: 15.10.2023