Dr. Yanick Lukic

Work at ZHAW

Position at the ZHAW

Lecturer for computer science focusing on Human-Centered Computing

www.zhaw.ch/de/engineering/institute-zentren/init/

Education and Continuing education

Professional milestones

2019 - 2023 PhD Candidate and Doctoral Researcher, ETH Zürich
2019 Research Assistant, ETH Zürich
2012 - 2013 Software Engineer, Netcetera AG
2008 - 2012 Application Developer (Apprentice), Netcetera AG

Educational background

2023 Doctor of Sciences, ETH Zürich
2019 Master of Science in Engineering with a Specialization in Information and Communication Technologies, ZHAW
2018 Master of Arts in Design with a Specialization in Interaction, ZHdK
2016 Bachelor of Science in Computer Science, ZHAW
2012 Informatiker EFZ Schwerpunkt Applikationsentwicklung

Publications before appointment at the ZHAW

Pflügner, K., Maier, C., Lukic, Y. X., Teepe, G. W., Kowatsch, T. (2022). Mobile Stress Management Applications: An Affordance-Theoretic Perspective on the Adoption and Use. In ICIS 2022 Proceedings.

Lukic, Y. X., Teepe, G. W., Fleisch, E., Kowatsch, T. (2022). Breathing as an Input Modality in a Gameful Breathing Training App (Breeze 2): Development and Evaluation Study. JMIR Serious Games, 10(3), e39186.

Lukic Y. X., Klein, S. S., Brügger V., Keller, O. C., Fleisch, E., Kowatsch T. (2021). The Impact of a Gameful Breathing Training Visualization on Intrinsic Experiential Value, Perceived Effectiveness, and Engagement Intentions: Between-Subject Online Experiment. JMIR Serious Games 2021, 9(3), e22803.

Kowatsch, T., Shih, I., Lukic, Y. X., Keller, O. C., Heldt, K., Durrer, D., Stasinaki, A., Büchter, D., Brogle, B., Farpour-Lambert, N., l’Allemand, D. (2021, April). A Playful Smartphone-based Self-regulation Training for the Prevention and Treatment of Child and Adolescent Obesity: Technical Feasibility and Perceptions of Young Patients. In 1st Workshop on Healthy Interfaces (HEALTHI), collocated with the 26th ACM Annual Conference on Intelligent User Interfaces (IUI)–Where HCI meets AI. ACM.

Lukic, Y. X., Shih, C. H., Hernandez Reguera, A., Cotti, A., Fleisch, E., Kowatsch, T. (2021). Physiological Responses and User Feedback on a Gameful Breathing Training App: Within-Subject Experiment. JMIR serious games, 2021, 9(1), e22802.

Shih, C. H., Tomita, N., Lukic, Y. X., Hernandez Reguera, A., Fleisch, E., Kowatsch, T. (2019). Breeze: Smartphone- based acoustic real-time detection of breathing phases for a gamified biofeedback breathing training. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 3(4), 1-30.

Lukic, Y. X., Vogt, C., Dürr, O., Stadelmann, T. (2017). Learning embeddings for speaker clustering based on voice equality. In 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP), Tokyo, 25-28 September 2017. IEEE.

Lukic, Y., Vogt, C., Dürr, O., Stadelmann, T. (2016). Speaker identification and clustering using convolutional neural networks. In 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP), Vietri sul Mare, Italy, 13-16 September 2016. IEEE.

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