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Christine Bauer : Curriculum Vitae

Publications

Diinnissen, K., Saccardi, I., Vredenburg, M., & Bauer, C. (2023, September 27). Looking at the FAccTs: exploring music industry professionals’ perspectives on music streaming services and recommendations. Proceedings of the 2nd International Conference of the ACM Greek SIGCHI Chapter. 2nd International Conference of the ACM Greek SIGCHI Chapter, Athens, Greece. https://doi.org/10.1145/3609987.3610011

Bauer, C., & Ferraro, A. (2023, September 19). Strategies for Mitigating Artist Gender Bias in Music Recommendation: A Simulation Study. Proceedings of the Music Recommender Systems Workshop. Music Recommender Systems Workshop. https://doi.org/10.5281/ZENODO.8372477

Bauer, C. (2019, May 5). The potential of the confluence of theoretical and algorithmic modeling in music recommendation. ACM CHI 2019 Workshop on Computational Modeling in Human-Computer Interaction.

Kriglstein, S., Brandmüller, M., Pohl, M., & Bauer, C. (2017, September 4). A Location-Based Educational Game for Understanding the Traveling Salesman Problem: A Case Study. 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, New York, NY. https://doi.org/10.1145/3098279.3122130

Schedl, M., & Bauer, C. (2017, August 27). Online Music Listening Culture of Kids and Adolescents: Listening Analysis and Music Recommendation Tailored to the Young. 1st International Workshop on Children and Recommender Systems, in conjunction with 11th ACM Conference on Recommender Systems (RecSys 2017), New York, NY, USA.

Bauer, C., & Schiffinger, M. (2016, June 12). Perceived risks and benefits of online self-disclosure: affected by culture? A meta-analysis of cultural differences as moderators of privacy calculus in person-to-crowd settings. 24th European Conference on Information Systems.

Mladenow, A., Bauer, C., Strauss, C., & Gregus, M. (2015, June 10). Location-based crowdsourcing: a taxonomy of value co-creation. The 2015 Naples Forum on Service.

Spiekermann, S., Korunovska, J., & Bauer, C. (2012, December 16). Psychology of Ownership and Asset Defense: Why People Value their Personal Information Beyond Privacy. International Conference on Information Systems.

Bauer, C. (2012, June 10). A Comparison and Validation of 13 Context Meta-Models. 20th European Conference on Information Systems.

Bauer, C. (2011, June 12). Context Adaptivity as Enabler for Meaningful Pervasive Advertising. 4th Workshop on Pervasive Advertising, in conjunction with Pervasive 2011.

Bauer, C., & Spiekermann, S. (2011, June 9). Conceptualizing Context for Adaptive Pervasive Commerce. 19th European Conference on Information Systems.

Figl, K., Bauer, C., & Kriglstein, S. (2009, August 6). Students’ View on Instant Online Feedback for Presentations. 15th Americas Conference on Information Systems.

Bauer, C., Bagchi, C., Hundogan, O. A., & van Es, K. (2024). Where are the values? A systematic literature review on news recommender systems. ACM Transactions on Recommender Systems. https://doi.org/10.1145/3654805

Bauer, C., Said, A., & Zangerle, E. (2024). Introduction to the Special Issue on Perspectives on Recommender Systems Evaluation. ACM Transactions on Recommender Systems, 2(1), 5. https://doi.org/10.1145/3648398

Bauer, C., Zangerle, E., & Said, A. (2024). Exploring the landscape of recommender systems evaluation: practices and perspectives. ACM Transactions on Recommender Systems, 2(1), 31. https://doi.org/10.1145/3629170

Liu, H., & Bauer, C. (2024). Report on the PhD Symposium at CIKM 2023. ACM SIGIR Forum, 57(2). https://doi.org/10.1145/3642979.3643003

Said, A., Zangerle, E., & Bauer, C. (2024). Report on the 3rd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023) at RecSys 2023. ACM SIGIR Forum, 57(2). https://doi.org/10.1145/3642979.3643000

Bauer, C. (2023). Three views of a secret: embracing multiple perspectives in the evaluation of information retrieval and recommender systems. Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 3448. https://ceur-ws.org/Vol-3448/keynote-02.pdf

Bauer, C., Chung, L., Cornelissen, A., van Driessel, I., van der Hoorn, D., de Jong, Y., Le, L., Najiyan Tabriz, S., Spaans, R., Thijsen, C., Verbeeten, R., Wesseling, V., & Wieland, F. (2023). FairRecKit: A Web-based analysis software for recommender evaluations. Proceedings of the 8th ACM SIGIR Conference on Human Information Interaction and Retrieval, 438–443. https://doi.org/10.1145/3576840.3578274

Bauer, C., Ferro, N., Fuhr, N., & Carterette, B. (Eds.). (2023). Frontiers of Information Access Experimentation for Research and Education (Dagstuhl Seminar 23031). Dagstuhl Reports, 13(1), 2192–5283. https://doi.org/10.4230/DagRep.13.1.68

Bauer, C., & Ferwerda, B. (2023). The effect of ingroup identification on conformity behavior in group decision-making: the flipping direction matters. 2242–2251. https://doi.org/10.24251/hicss.2023.277

Bauer, C., Fröbe, M., Jannach, D., Kruschwitz, U., Rosso, P., Spina, D., & Tintarev, N. (2023). Overcoming methodological challenges in information retrieval and recommender systems through awareness and education (13–1; Dagstuhl Reports, pp. 116–133). Schloss Dagstuhl—Leibniz-Zentrum fuer Informatik.

Dinnissen, K., & Bauer, C. (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, 238–249. https://doi.org/10.1145/3565472.3592960

Dinnissen, K., & Bauer, C. (2023). How control and transparency for users could improve artist fairness in music recommender systems. Proceedings of the 24th International Society for Music Information Retrieval Conference, 482–491.

Grady, S. D., Bauer, C., Wehbe, R., Spiel, K., Muller, M., & Harrington, C. (2023). How can we can create an equitable CHI. Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 1–3. https://doi.org/10.1145/3544549.3583746

Said, A., Zangerle, E., & Bauer, C. (Eds.). (2023). Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2023 (Vol. 3476). CEUR-WS.org. https://ceur-ws.org/Vol-3476/

Said, A., Zangerle, E., & Bauer, C. (2023). Third Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023). Proceedings of the 17th ACM Conference on Recommender Systems, 1221–1222. https://doi.org/10.1145/3604915.3608748

Bauer, C., & Devaney, J. (2022). Constructing gender in audio: Exploring how the curation of the voice in music and speech influences our conception of gender identity. In M. Erbe, A. Riffi, & W. Zielinski (Eds.), Mediale Stimmentwürfe: Perspectives of media voice designs (Vol. 7, pp. 83–100). kopaed Verlag. https://www.grimme-institut.de/publikationen/schriftenreihe/p/d/mediale-stimmentwuerfe

Dinnissen, K., & Bauer, C. (2022). Fairness in music recommender systems: a stakeholder-centered mini review. Frontiers in Big Data, 5. https://doi.org/10.3389/fdata.2022.913608

Ferwerda, B., & Bauer, C. (2022). To Flip or Not to Flip: Conformity Effect Across Cultures. CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1–7. https://doi.org/10.1145/3491101.3519662

Jesse, M., Bauer, C., & Jannach, D. (2022). Intra-list similarity and human diversity perceptions of recommendations: the details matter. User Modeling and User-Adapted Interaction. https://doi.org/10.1007/s11257-022-09351-w

Zangerle, E., Bauer, C., & Said, A. (Eds.). (2022). Proceedings of the perspectives on the evaluation of recommender systems workshop 2022 (Vol. 3228). CEUR-WS.org. http://ceur-ws.org/Vol-3228/

Zangerle, E., Bauer, C., & Said, A. (2022). Report on the 2nd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022) at RecSys 2022. ACM SIGIR Forum, 56(2). https://doi.org/10.1145/3582900.3582919

Zangerle, E., Bauer, C., & Said, A. (2022). Second workshop: perspectives on the evaluation of recommender systems (PERSPECTIVES 2022). Proceedings of the 16th ACM Conference on Recommender Systems, 652–653. https://doi.org/10.1145/3523227.3547408

Zangerle, E., & Bauer, Christine. (2022). Evaluating recommender systems: survey and framework. ACM Computing Surveys, 55(8), 1–38. https://doi.org/10.1145/3556536

Bauer, C. (2021). Multi-Method Evaluation for Adaptive Systems. Proceedings of the 29th Conference on User Modeling, Adaptation and Personalization, 323–325. https://doi.org/10.1145/3450613.3457122

Ferraro, A., Serra, X., & Bauer, C. (2021). Break the Loop: Gender Imbalance in Music Recommenders. 6th ACM SIGIR Conference on Human Information Interaction and Retrieval, 249–254. https://doi.org/10.1145/3406522.3446033

Ferraro, A., Serra, X., & Bauer, C. (2021). What is fair? Exploring the artists’ perspective on the fairness of music streaming platforms. In C. Ardito, R. Lanzilotti, A. Malizia, H. Petrie, A. Piccinno, G. Desolda, & K. Inkpen (Eds.), Human-Computer Interaction – INTERACT 2021 (Vol. 12933, pp. 562–584). Springer International Publishing. https://doi.org/10.1007/978-3-030-85616-8_33

Kowald, D., Müllner, P., Zangerle, E., Bauer, C., Schedl, M., & Lex, E. (2021). Support the Underground: Characteristics of Beyond-Mainstream Music Listeners. EPJ Data Science, 10. https://doi.org/10.1140/epjds/s13688-021-00268-9

Schedl, M., Bauer, C., Reisinger, W., Kowald, D., & Lex, E. (2021). Listener Modeling and Context-Aware Music Recommendation Based on Country Archetypes. Frontiers in Artificial Intelligence, 3. https://doi.org/10.3389/frai.2020.508725

Zangerle, E., Bauer, C., & Said, A. (2021). Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES). Proceedings of the 15th ACM Conference on Recommender Systems, 794–795. https://doi.org/10.1145/3460231.3470929

Zangerle, E., Bauer, C., & Said, A. (Eds.). (2021). Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2021 (Vol. 2955). CEUR-WS.org. http://ceur-ws.org/Vol-2955/

Zangerle, E., Bauer, C., & Said, A. (2021). Report on the 1st Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2021) at RecSys 2021. ACM SIGIR Forum, 55(2), 1–5. https://doi.org/10.1145/3527546.3527565

Bauer, C. (2020). Multi-Method Evaluation: Leveraging Multiple Methods to Answer What You Were Looking For. Proceedings of the 2020 Conference on Human Information Interaction and Retrieval, 472–474. https://doi.org/10.1145/3343413.3378015

Bauer, C. (2020). Ratings in, rankings out. Keep it simple, they said. But we need more than that. In T. Bogers, M. Koolen, C. Petersen, B. Mobasher, A. Tuzhilin, O. S. Shalom, D. Jannach, & J. A. Konstan (Eds.), Proceedings of the Workshops on Recommendation in Complex Scenarios and the Impact of Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020) (Vol. 2697). http://ceur-ws.org/Vol-2697/invited1.pdf

Bauer, C. (2020). Report on the ISMIR 2020 special session: How do we help artists? ACM SIGIR Forum, 54(2), 1–7. https://doi.org/10.1145/3483382.3483398

Bauer, C., & Ferwerda, C. (2020). Conformity Behavior in Group Playlist Creation. Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, LBW 114. https://doi.org/10.1145/3334480.3382942

Jannach, D., & Bauer, C. (2020). Escaping the McNamara Fallacy: Toward More Impactful Recommender Systems Research. AI Magazine, 41(4), 79–95. https://doi.org/10.1609/aimag.v41i4.5312

Bauer, C. (2019). Allowing for equal opportunities for artists in music recommendation. Proceedings of the 1st Workshop on Designing Human-Centric Music Information Research Systems, 16–18.

Bauer, C., & Schedl, M. (2019). A cross-country investigation of user connection patterns in online social networks. Proceedings of the 52nd Hawaii International Conference on System Sciences, 2166–2175. https://doi.org/10.24251/HICSS.2019.263

Bauer, C., & Schedl, M. (2019). Cross-country user connections in an online social network for music. Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, LBW0112:1-LBW0112:6. https://doi.org/10.1145/3290607.3312831

Bauer, C., & Schedl, M. (2019). Global and country-specific mainstreaminess measures: Definitions, analysis, and usage for improving personalized music recommendation systems. PLOS ONE, 14(6). https://doi.org/10.1371/journal.pone.0217389

Bauer, C., Schedl, M., Angerer, V., & Wegenkittl, S. (2019). Tastalyzer: Audiovisual exploration of urban and rural variations in music taste. Proceedings of the 27th ACM International Conference on Multimedia, 1044–1046. https://doi.org/10.1145/3343031.3350585

Bauer, C., & Zangerle, E. (2019). Leveraging Multi-Method Evaluation for Multi-Stakeholder Settings (O. S. Shalom, D. Jannach, & I. Guy, Eds.; Vol. 2462).

Bauer, C. (2018). Der Beitrag der Informatik zur Musikwirtschaftsforschung. In P. Tschmuck, B. Flath, & M. Lücke (Eds.), Musikwirtschaftsforschung: Die Grundlagen einer neuen Disziplin (pp. 97–116). Springer.

Bauer, C., Garaus, M., Strauss, C., & Wagner, U. (2018). Research directions for digital signage systems in retail. Procedia Computer Science, 141, 503–506. https://doi.org/10.1016/j.procs.2018.10.135

Bauer, C., & Schedl, M. (2018). Investigating cross-country relationship between users’ social ties and music mainstreaminess. 678–686. https://doi.org/10.5281/zenodo.1492507

Bauer, C., & Schedl, M. (2018). On the importance of considering country-specific aspects on the online-market: an example of music recommendation considering country-specific mainstream. Proceedings of the 51st Hawaii International Conference on System Sciences, 3647–3656. https://doi.org/10.24251/HICSS.2018.461

Bauer, C., Schmid, K. S., & Strauss, C. (2018). An Open Model for Researching the Role of Culture in Online Self-Disclosure. Proceedings of the 51st Hawaii International Conference on System Sciences, 3637–3646. https://doi.org/10.24251/HICSS.2018.460

Bauer, C., & Zangerle, E. (2018). Information imbalance and responsibility in recommender systems. In B. Krumay & R. Brandtweiner (Eds.), Workshop Proceeding of the 2nd Workshop on Green (Responsible, Ethical and Social) IT and IS - the Corporate Perspective (GRES-IT/IS), 03/2018. Department für Informationsverarbeitung und Prozessmanagement, WU Vienna University of Economics and Business. https://epub.wu.ac.at/7681/

Celik, I., Torre, I., Koceva, F., Bauer, C., Zangerle, E., & Knijnenburg, B. (2018). UMAP 2018 Intelligent User-Adapted Interfaces: Design and Multi-Modal Evaluation (IUadaptMe) Workshop Chairs’ Welcome & Organization. UMAP ’18 Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization, 137–139. https://doi.org/10.1145/3213586.3226202

Schedl, M., & Bauer, C. (2018). An analysis of global and regional mainstreaminess for personalized music recommender systems. Journal of Mobile Multimedia, 14(1), 95–112. https://doi.org/10.13052/jmm1550-4646.1415

Schedl, M., Wiechert, E., & Bauer, C. (2018). The effects of real-world events on music listening behavior: an intervention time series analysis. WWW ’18 Companion: The 2018 Web Conference Companion, 75–76. https://doi.org/10.1145/3184558.3186936

Yousfi, A., Hewelt, M., Bauer, C., & Weske, M. (2018). Towards uBPMN-based patterns for modeling ubiquitous business processes. IEEE Transactions on Industrial Informatics, 14(8), 3358–3367. https://doi.org/10.1109/tii.2017.2777847

Bauer, C., Kholodylo, M., & Strauss, C. (2017). Music Recommender Systems: Challenges and Opportunities for Non-Superstar Artists (A. Pucihar, M. Kljajić Borštnar, Christian Kittl, Pascal Ravesteijn, Roger Clarke, & Roger Bons, Eds.; pp. 21–32). University of Maribor Press. https://doi.org/10.18690/978-961-286-043-1.3

Bauer, C., & Novotny, A. (2017). A consolidated view of context for intelligent systems. Journal of Ambient Intelligence and Smart Environments, 9(4), 377–393. https://doi.org/10.3233/ais-170445

Bauer, C., & Schedl, M. (2017). Introducing Surprise and Opposition by Design in Recommender Systems. Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization, 350–353. https://doi.org/10.1145/3099023.3099099

Novotny, A., & Bauer, C. (2017). What Do We Really Talk About When We Talk About Context in Pervasive Computing: A Review and Exploratory Analysis. 301–310. https://doi.org/10.1145/3151759.3151760

Schedl, M., & Bauer, C. (2017). Distance- and Rank-based Music Mainstreaminess Measurement. Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization, 364–367. https://doi.org/10.1145/3099023.3099098

Schedl, M., & Bauer, C. (2017). Introducing global and regional mainstreaminess for improving personalized music recommendation. 74–81. https://doi.org/10.1145/3151848.3151849

Bauer, C. (2016). Taking responsibility for online self-disclosure: The thin line between a company’s user orientation and user surveillance. In B. Krumay & R. Brandtweiner (Eds.), GRES-IT Workshop Proceedings. Working Papers on Information Systems, Information Business and Operations, 02/2016 (pp. 17–18). Department für Informationsverarbeitung und Prozessmanagement, WU Vienna University of Economics and Business.

Bauer, C., & Dey, A. K. (2016). Considering context in the design of intelligent systems: Current practices and suggestions for improvement. Journal of Systems and Software, 112, 26–47. https://doi.org/10.1016/j.jss.2015.10.041

Bauer, C., Kryvinska, N., & Strauss, C. (2016). The business with digital signage for advertising. In F. Ricciardi & A. Harfouche (Eds.), Conference on Information and Communication Technologies in Organizations and Society (ICTO 2015) (Vol. 15, pp. 285–302). Springer.

Bauer, C., & Strauss, C. (2016). Location-based advertising on mobile devices: a literature review and analysis. Management Review Quarterly, 66(3), 159–194. https://doi.org/10.1007/s11301-015-0118-z

Bauer, C., & Strauss, C. (2016). The dark side of Web 2.0: From self-marketing to self-destruction of music artists. In B. Krumay & R. Brandtweiner (Eds.), GRES-IT Workshop Proceedings. Working Papers on Information Systems, Information Business and Operations, 02/2016 (pp. 19–20). Department für Informationsverarbeitung und Prozessmanagement, WU Vienna University of Economics and Business.

BD, A., Bauer, C., & Doryab, A. (2016). Solving the Battle of First-Authorship: Using Interactive Technology to Highlight Contributions. 609–620. https://doi.org/10.1145/2851581.2892582

Mladenow, A., Bauer, C., & Strauss, C. (2016). “Crowd Logistics”: the contribution of social crowds in logistics activities. International Journal of Web Information Systems, 12(3), 379–396. https://doi.org/10.1108/ijwis-04-2016-0020

Mladenow, A., Bauer, C., & Strauss, C. (2016). Power to the (Shopping) People! Changing Traditional Customer-Vendor Interaction in Online Markets by ICT-Enabled “Group Buying.” In F. D’Ascenzo, M. Magni, A. Lazazzara, & S. Za (Eds.), Blurring the Boundaries Through Digital Innovation: Individual, Organizational, and Societal Challenges (Vol. 19, pp. 203–213). Springer International Publishing Switzerland.

Schölgens, D., Müller, S., Bauer, C., Tilly, R., & Schoder, D. (2016). Aesthetic Measures for Document Layouts: Operationalization and Analysis in the Context of Marketing Brochures. 21–30. https://doi.org/10.1145/2960811.2960821

Yousfi, A., Bauer, C., Saidi, R., & Dey, A. K. (2016). uBPMN: A BPMN extension for modeling ubiquitous business processes. Information and Software Technology, 74(C), 55–68. https://doi.org/10.1016/j.infsof.2016.02.002

Bauer, C. (2015). Der digitale Musikmarkt im Wandel: Marktteilnehmer, Machtverschiebungen und die Hoffnung auf Transparenz (The changing digital music market: market participants, power shifts, and the hope for transparency). OCG Journal, 40(2), 12–14.

Bauer, C., & Kratschmar, A. (2015). Designing a Music-controlled Running Application: a Sports Science and Psychological Perspective. 1379–1384. https://doi.org/10.1145/2702613.2732736

Bauer, C., & Kriglstein, S. (2015). Analysis of Motivation Strategies in Running Tracking Applications. 73–79. https://doi.org/10.1145/2837126.2839316

Bauer, C., & Schiffinger, M. (2015). Self-disclosure in online interaction: a meta-analysis. 3621–3630. https://doi.org/10.1109/HICSS.2015.435

Bauer, C., & Strauss, C. (2015). Educating artists in management: an analysis of art education programmes in DACH region. Cogent Education, 2(1). https://doi.org/10.1080/2331186x.2015.1045217

Mladenow, A., Bauer, C., & Strauss, C. (2015). Collaborative Shopping with the Crowd (Y. Luo, Ed.; Vol. 9320, pp. 162–169). Springer. https://doi.org/10.1007/978-3-319-24132-6_19

Mladenow, A., Bauer, C., & Strauss, C. (2015). Crowdsourcing in Logistics: Concepts and Applications Using the Social Crowd. 244–251. https://doi.org/10.1145/2837185.2837242

Mladenow, A., Bauer, C., Strauss, C., & Gregus, M. (2015). Collaboration and Locality in Crowdsourcing. 1–6. https://doi.org/10.1109/INCoS.2015.74

Bauer, C. (2014). A framework for conceptualizing context for intelligent systems (CCFIS). Journal of Ambient Intelligence and Smart Environments, 6(4), 403–417. https://doi.org/10.3233/AIS-140269

Bauer, C., & Lasinger, P. (2014). Adaptation strategies to increase advertisement effectiveness in digital media. Management Review Quarterly, 64(2), 101–124. https://doi.org/10.1007/s11301-014-0101-0

Bauer, C., & Mann, A.-M. (2014). SleepCompete: A Smart Bedside Device to Promote Healthy Sleeping Habits in Children (A. Pucihar, C. Varlsson, R. Bons, R. Clarke, & M. Kljajic Borstnar, Eds.). AIS.

Bauer, C., Mladenow, A., & Strauss, C. (2014). Fostering collaboration by location-based crowdsourcing (Y. Luo, Ed.; Vol. 9320, pp. 88–95). Springer. https://doi.org/10.1007/978-3-319-10831-5_13

Brauer, C., Bauer, C., & Dirlinger, M. (2014). An Evaluation Scheme for Performance Measurement of Facebook Use: an Example of Social Organizations in Vienna (F. Fui-Hoon Nah, Ed.; Vol. 8527, pp. 121–132). Springer. https://doi.org/10.1007/978-3-319-07293-7_12

Brauer, C., Bauer, C., & Dirlinger, M. (2014). Entwicklungsstand und Entwicklungspotenziale in der Verwendung von Facebook zur Organisationskommunikation: Eine empirische Analyse von Facebook-Präsenzen sozialwirtschaftlicher Organisationen in Wien (Dennis Kundisch, Leena Suhl, & Lars Beckmann, Eds.; pp. 1213–1225). Universität Paderborn.

Kryvinska, N., Bauer, C., Strauss, C., & Gregus, M. (2014). A SWOT analysis of the soft-computing paradigms SOA/SOC/Cloud combination (C-SOA) in software development (L. Mola, A. Carugati, A. Kokkinaki, & N. Pouloudi, Eds.; pp. 1–14). AIS.

Mladenow, A., Bauer, C., & Strauss, C. (2014). Social Crowd Integration in New Product Development: Crowdsourcing Communities Nourish the Open Innovation Paradigm. Global Journal of Flexible Systems Management, 15(1), 77–86. https://doi.org/10.1007/s40171-013-0053-6

Bauer, C. (2013). On the (In-)Accuracy of GPS Measures of Smartphones: A Study of Running Tracking Applications. 335–340. https://doi.org/10.1145/2536853.2536893

Bauer, C., Strauss, C., Stummer, C., & Trieb, A. (2013). Context-aware services in cooperative value chains: a key player-centred approach. Scalable Computing: Practice and Experience, 14(3), 139–153. https://doi.org/10.12694/scpe.v14i3.856

Bauer, C., & Waldner, F. (2013). Reactive Music: When User Behavior affects Sounds in Real-Time. 739–744. https://doi.org/10.1145/2468356.2468488

Lasinger, P., & Bauer, C. (2013). Situationalization: the new road to adaptive digital-out-of-home advertising. 162–169.

Bauer, C. (2012). Bands as Virtual Organisations: Improving the Processes of Band and Event Management with Information and Communication Technologies. Peter Lang.

Bauer, C., Dohmen, P., & Strauss, C. (2012). A conceptual framework for backend services of contextual digital signage. Journal of Service Science Research, 4(2), 271–297. https://doi.org/10.1007/s12927-012-0011-4

Bauer, C. (2011). Out of the black box: Modelling the processes of managing telephone bands [Master’s thesis]. Vienna University of Technology.

Bauer, C., Dohmen, P., & Strauss, C. (2011). Interactive Digital Signage: an Innovative Service and its Future Strategies. 137–142. https://doi.org/10.1109/EIDWT.2011.29

Bauer, C., & Spiekermann, S. (2011). Conceptualizing Context for Pervasive Advertising. In J. Müller, F. Alt, & D. Michelis (Eds.), Pervasive Advertising (pp. 159–183). Springer.

Bauer, C., Viola, K., & Strauss, C. (2011). Management skills for artists: “learning by doing”? International Journal of Cultural Policy, 17(5), 626–644. https://doi.org/10.1080/10286632.2010.531716

Bauer, C. (2010). Promotive Activities in Technology-Enhanced Learning: The Impact of Media Selection on Peer Review, Active Listening and Motivational Aspects (Vol. 3359). Peter Lang.

Bauer, C. (2009). Managerial Skills That Artists Need beyond Artistic Abilities [Poster presentation].

Bauer, C. (2009). Promotive activities in technology-enhanced cooperative whole person learning [Doctoral thesis]. University of Vienna.

Bauer, C., & Erdey-Gruz, M. (2009). Managementinformationssysteme (textbook). Ferdinand Porsche Gesellschaft zur Erhaltung und Durchführung von Fachhochschul-Studiengängen mbH.

Bauer, C., Figl, K., Derntl, M., Beran, P. P., & Kabicher, S. (2009). Der Einsatz von Online-Peer-Reviews als kollaborative Lernform. In H. R. Hansen, D. Karagiannis, & H.-G. Fill (Eds.), Wirtschaftsinformatik (2) (Vol. 247, pp. 421–430). books@ocg.at. OCG.

Bauer, C., Figl, K., Derntl, M., Beran, P. P., & Kabicher, S. (2009). The Student View on Online Peer Review. 26–30. https://doi.org/10.1145/1562877.1562892

Bauer, C., Figl, K., & Motschnig-Pitrik, R. (2009). Introducing “Active Listening” to Instant Messaging and E-mail: Benefits and Limitations. IADIS International Journal on WWW/Internet, 7(2), 1–17.

Figl, K., Motschnig-Pitrik, R., & Bauer, C. (2009). Förderung “virtueller” Kommunikationskompetenzen mit Neuen Medien. 78–90.

Strauss, C., Stummer, C., Bauer, C., & Trieb, A. (2009). A Networked Ubiquitous Computing Environment for Damage Prevention: A Decision Support Framework for the Insurance Sector. 276–281. https://doi.org/10.1109/ICPPW.2009.79

Bauer, C., & Figl, K. (2008). Active Listening in Written Online Communication: A Case Study in a Course on Soft Skills for Computer Scientists. F2C1-6. https://doi.org/10.1109/FIE.2008.4720282

Figl, K., & Bauer, C. (2008). Motivational Aspects in Technology-Enhanced Courses. 3701–3710.

Figl, K., & Bauer, C. (2008). Online Active Listening and Media Competence: Vol. V I, 2 (M. B. Nunes & M. McPherson, Eds.; pp. 207–214). IADIS press.

Bauer, C., Erdey-Gruz, M., Leitner, M.-L., & Strauss, C. (2007). AT Management (accessible textbook). Assistec University Course, Johannes Kepler Universität Linz.

Bauer, C., Derntl, M., Motschnig-Pitrik, R., & Tausch, R. (2006). Promotive Activities in Face-to-Face and Technology-Enhanced Learning Environments. The Person-Centered Journal, 13(1–2), 12–37.

Bauer, C., & Figl, K. (2006). Differences of Online and Face-to-Face Peer Reviews Regarding Type and Quality (D. Kinshuk, G. Sampson, J. M. Spector, & P. Isaías, Eds.; pp. 423–428). IADIS.

Figl, K., Bauer, C., Mangler, J., & Motschnig-Pitrik, R. (2006). Online versus Face-to-Face Peer Team Reviews. T1H 7-12. https://doi.org/10.1109/FIE.2006.322469

Bauer, C., & Kovacs, M. (2004). Factors Guiding Your Way to Success in Hybrid Learning. 567–575.

Bauer, C. (2002). Kommunikation in virtuellen Teams [Master’s thesis]. University of Vienna.

Zartler, W., & Bauer, C. (2002). CBTs in Action: A product oriented evaluation of the CBT Hyperbook Privatrecht and the examination of factors influencing the use of CBTs (M. Auer & U. Auer, Eds.). Kassel University Press.