Publications

Publications related to Supporting users in setting effective goals in activity tracking

Using psychophysiological parameters to support users in setting effective activity goals

Herrmanny, K., Beckmann, N., Nachbar, K., Sauer, H., Ziegler, J., Dogangün, A., & ACM CHI 2016. (2016). CHI EA ’16: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, 1637–1646.

Das Projekt PAnalytics – Selbstmonitoring für gesundes Altern

Beckmann, N., Dogangün, A., Herrmanny, K., Sauer, H., & Kloppenborg, K. (2015). In A. Weisbecker, M. Burmester, & A. Schmidt (Eds.), Mensch und Computer 2015 – Workshopband. De Gruyter Oldenbourg.

Health Recommender Systems for Mental Health Promotion

Torkamaan, H. (2022). [PhD thesis, University of Duisburg-Essen].

Integrating Behavior Change and Persuasive Design Theories into an Example Mobile Health Recommender System

Torkamaan, H., & Ziegler, J. (2021). UbiComp ’21: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, 218–225.

Towards a User Integration Framework for Personal Health Decision Support and Recommender Systems

Herrmanny, K., & Torkamaan, H. (2021). In J. Masthoff, E. Herder, N. Tintarev, & M. Tkalčič (Eds.), Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (pp. 65–76). Association for Computing Machinery.

Multi-criteria rating-based preference elicitation in health recommender systems

Torkamaan, H., & Ziegler, J. (2018). Proceedings of the Third International Workshop on Health Recommender Systems Co-Located with Twelfth ACM Conference on Recommender Systems (HealthRecSys’18), 2216, 18–23.

Recommending Running Routes: Framework and Demonstrator

Loepp, B., & Ziegler, J. (2018). Proceedings of the 2nd Second Workshop on Recommendation in Complex Scenarios (ComplexRec ’18), 26–29.

Merging Interactive Information Filtering and Recommender Algorithms: Model and Concept Demonstrator

Loepp, B., Herrmanny, K., & Ziegler, J. (2015). i-Com, 14(1), 5–17.

Blended Recommending: Integrating Interactive Information Filtering and Algorithmic Recommender Techniques

Loepp, B., Herrmanny, K., & Ziegler, J. (2015). Proceedings of the 33rd International Conference on Human Factors in Computing Systems (CHI ’15), 975–984.

An Interactive Hybrid Approach to Generate Explainable and Controllable Recommendations

Naveed, S. (2021). [PhD thesis, University of Duisburg-Essen].

Exploring chatbot user interfaces for mood measurement: A study of validity and user experience

Torkamaan, H., & Ziegler, J. (2020). Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, 135–138.

Investigating mechanisms for user integration in the activity goal recommendation process by interface design

Herrmanny, K., Löppenberg, S., & Schwarz, M. (2019). IntRS 2019: Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 46–54.

The impact of prediction uncertainty in recommendations for health-related behavior

Herrmanny, K., & Dogangün, A. (2017). In D. Elsweiler & S. Hors-Fraile (Eds.), Proceedings of the 2nd International Workshop on Health Recommender Systems (Vol. 1953, pp. 14–17).

Measuring local pulse transit time for affective computing applications

Beckmann, N., Viga, R., Dogangün, A., & Grabmaier, A. (2017). Industrial and Medical Measurement and Sensor Technology, Vehicle Sensor Technnology: IEEE Workshop 2017 : Abstractbook, 106–107.

Measuring local pulse transit time for affective computing applications

Beckmann, N., Viga, R., Dogangün, A., & Grabmaier, A. (2017). 2nd YRA MedTech Symposium, Young Researchers Academy: Booklet : Jointly Held with the IEEE Workshop & SENSORICA 2017 Hochschule Ruhr West, June 8-9, Mülheim a. d. Ruhr, Germany, 2017, 30–31.

Reproducibility of photoplethysmography-based local pulse transit time measurement

Beckmann, N., Viga, R., Dogangün, A., & Grabmaier, A. (2017). 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 246–249.

Urban Health mAPP

Paldan, K., Skodra, J., Paldan, P., Herrmanny, K., & Dogangün, A. (2016). In B. Weyers & B. Dittmar (Eds.), Mensch und Computer 2016: Workshopbeiträge, 4.-7. September 2016, Aachen. Gesellschaft für Informatik (GI).

Besser-Esser: Das Konzept einer nutzerbezogenen Ernährungs-App

Sell, J., Herrmanny, K., & Dogangün, A. (2016). In B. Weyers & B. Dittmar (Eds.), Mensch und Computer 2016: Workshopbeiträge, 4.-7. September 2016, Aachen. Gesellschaft für Informatik (GI).

Smartphone based HRV measurement - an unobtrusive and flexible approach

Beckmann, N., Dammin, N., Viga, R., & Dogangün, A. (2016). Young Researchers Academy MedTech in NRW: 1st YRA MEdTech Symposium.

Tagungsband des Workshops "Gemeinsam Altern erleben"

Kötteritzsch, A., Bons, J., Herrmanny, K., Weyers, B., & Dogangün, A. (2015). 577–582.

Adaptive Awareness-Assistenten: Entwicklung und empirische Untersuchung der Wirksamkeit

Dogangün, A. (2012). (Vol. 32) [PhD thesis]. Eul.

MyMovieMixer: Ein hybrider Recommender mit visuellem Bedienkonzept

Herrmanny, K., Schering, S., Berger, R., Loepp, B., Günter, T., Hussein, T., & Ziegler, J. (2014). Mensch Und Computer 2014 – Tagungsband, 45–54.

Explaining Recommendations through Conversations: Dialog Model and the Effects of Interface Type and Degree of Interactivity

Hernandez-Bocanegra, D. C., & Ziegler, J. (2023). ACM Transactions on Interactive Intelligent Systems (TiiS), 13(2).

User-centered recommender systems

Ziegler, J., & Loepp, B. (2023). In M. Augstein, E. Herder, & W. Wörndl (Eds.), Personalized Human-Computer Interaction (2nd ed., pp. 33–58). De Gruyter Oldenbourg.

A comparative study of item space visualizations for recommender systems

Kunkel, J., & Ziegler, J. (2023). International Journal of Human Computer Studies, 172.

Mental Models, Explanations, Visualizations: Promoting User-Centered Qualities in Recommender Systems

Kunkel, J. (2022). [PhD thesis, University of Duisburg-Essen].

Recommendations as Challenges: Estimating Required Effort and User Ability for Health Behavior Change Recommendations

Torkamaan, H., & Ziegler, J. (2022). 27th International Conference on Intelligent User Interfaces, 106–119.

Development of an Instrument for Measuring Users’ Perception of Transparency in Recommender Systems

Hellmann, M., Hernandez Bocanegra, D., & Ziegler, J. (2022). In A. Smith-Renner & O. Amir (Eds.), Workshops at the International Conference on Intelligent User Interfaces (IUI) 2022: Proceedings of the IUI 2022 Workshops: APEx-UI, HAI-GEN, HEALTHI, HUMANIZE, TExSS, SOCIALIZE (Vol. 3124, pp. 156–165). RWTH Aachen.

Explaining Review-Based Recommendations: Effects of Profile Transparency, Presentation Style and User Characteristics

Hernandez-Bocanegra, D. C., & Ziegler, J. (2020). i-Com: Journal of Interactive Media, 19(3), 181–200.

Mensch-Computer-Interaktion als zentrales Gebiet der Informatik: Bestandsaufnahme, Trends und Herausforderungen

Koch, M., Ziegler, J., Reuter, C., Schlegel, T., & Prilla, M. (2020). Informatik Spektrum, 43, 381–387.

Empfehlungssysteme

Ziegler, J., & Loepp, B. (2020). In T. Kollmann (Ed.), Handbuch Digitale Wirtschaft (pp. 717–741). Springer Gabler.

Mobile mood tracking: An investigation of concise and adaptive measurement instruments

Torkamaan, H., & Ziegler, J. (2020). Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4(4), 155.

Featuristic: An interactive hybrid system for generating explainable recommendations – Beyond system accuracy

Naveed, S., & Ziegler, J. (2020). Proceedings of the 7th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 14–25.

Leveraging Arguments in User Reviews for Generating and Explaining Recommendations

Donkers, T., & Ziegler, J. (2020). Datenbank-Spektrum, 20(2), 181–187.

Challenges in User-Centered Engineering of AI-based Interactive Systems

Ziegler, J. (2019). In B. Weyers & J. Bowen (Eds.), Joint Proceedings HCI Engineering 2019 – Methods and Tools for Advanced Interactive Systems and Integration of Multiple Stakeholder Viewpoints co-located with 11th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2019) (Vol. 2503, pp. 51–55).

Feature-driven interactive recommendations and explanations with collaborative filtering approach

Naveed, S., & Ziegler, J. (2019). ComplexRec 2019: Proceedings of the Workshop on Recommendation in Complex Scenarios, 2449, 10–15.

To explain or not to explain: the effects of personal characteristics when explaining feature-based recommendations in different domains

Millecamp, M., Verbert, K., Naveed, S., & Ziegler, J. (2019). IntRS 2019: Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 2450, 10–18.