Freiberger, M., Kun, P., , Sundnes Løvlie, A., and Risi, S. (2024) LayerShuffle: Enhancing Robustness in Vision Transformers by Randomizing Layer Execution Order. https://doi.org/10.48550/arXiv.2407.04513
Kun, P., Freiberger, M.A., Sundnes Løvlie, A., and Risi, S., (2024) GenFrame – Embedding Generative AI Into Interactive Artifacts. In Proceedings of the 2024 ACM Designing Interactive Systems Conference (DIS ‘24). Association for Computing Machinery, New York, NY, USA, 714–727. https://doi.org/10.1145/3643834.3660750
Kun, P., Freiberger, M., Risi, S., and Sundnes Løvlie, A. (2024) GenFrame: An Interactive Picture Frame Painting the Portrait of Any Girl. In Companion Publication of the 2024 ACM Designing Interactive Systems Conference (DIS ‘24 Companion). Association for Computing Machinery, New York, NY, USA, 353–358. https://doi.org/10.1145/3656156.3665437
Van Der Maden, W, Van Beek, E., Halperin, B. A., Jääskeläinen, P., Kang, E., Kun, P., Lomas, J. D., Merritt, T., Lindley, J., Muller, M., Nicenboim, I., Zhu, J., and van der Burg, V. (2024) Death of the Design Researcher? Creating Knowledge Resources for Designers Using Generative AI. In Companion Publication of the 2024 ACM Designing Interactive Systems Conference (DIS ‘24 Companion). Association for Computing Machinery, New York, NY, USA, 396–400. https://doi.org/10.1145/3656156.3658398
Jenkins, T., Tsaknaki, V., Howell, N., Boer, L., Wong, R.Y., Campo Woytuk, N., Kun, P., and Søndergaard, M.L.J. (2024). Mapping Futures and Futuring in HCI/Design. In Companion Publication of the 2024 ACM Designing Interactive Systems Conference (DIS ‘24 Companion). Association for Computing Machinery, New York, NY, USA, 458–461. https://doi.org/10.1145/3656156.3658384
Kun, P., Freiberger, M., Sundnes Løvlie, A., and Risi, S. (2024) AI Art Perceptions with GenFrame – an Image Generating Picture Frame, in Gray, C., Ciliotta Chehade, E., Hekkert, P., Forlano, L., Ciuccarelli, P., Lloyd, P. (eds.), DRS2024: Boston, 23–28 June, Boston, USA. https://doi.org/10.21606/drs.2024.997
Meyer, L., Aaen, J. E., Tranberg, A. R., Kun, P., Freiberger, M., Risi, S., & Løvlie, A. S. (2024).Algorithmic Ways of Seeing: Using Object Detection to Facilitate Art Exploration. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ‘24). Association for Computing Machinery, New York, NY, USA, Article 29, 1–18. https://doi.org/10.1145/3613904.3642157
2023
Kun, P. (2023) Deploying Image Generation Models into Interactive Prototypes. In Workshop on Towards a Design (Research) Framework with Generative AI at ACM Designing Interactive Systems Conference, 11 July 2023, Pittsburgh, United States.
Van Der Maden, W., Van Beek, E., Nicenboim, I., Van Der Burg, V., Kun, P., Lomas, J. D., & Kang, E. (2023). Towards a Design (Research) Framework with Generative AI. In Companion Publication of the 2023 ACM Designing Interactive Systems Conference (pp. 107-109). https://doi.org/10.1145/3563703.3591453
Assi, K., Meegahapola, L., Droz, W., Kun, P., De Götzen, A., Bidoglia, M., … & Gatica-Perez, D. (2023). Complex Daily Activities, Country-level Diversity, and Smartphone Sensing: A Study in Denmark, Italy, Mongolia, Paraguay, and UK. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-23). https://doi.org/10.1145/3544548.3581190
Meegahapola, L., Droz, W., Kun, P., De Götzen, A., Nutakki, C., Diwakar, S., … & Gatica-Perez, D. (2023). Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 6(4), 1-32. https://doi.org/10.1145/3569483
Freiberger, M., Kun, P., Løvlie, A. S., & Risi, S. (2023). CLIPMasterPrints: Fooling Contrastive Language-Image Pre-training Using Latent Variable Evolution. arXiv preprint https://arxiv.org/abs/2307.03798.
2022
Kun, P., De Götzen, A., Bidoglia, M., Gommesen, N. J., Gaskell, G. (2022). Exploring Diversity Perceptions in a Community Through a Q&A Chatbot. In Proceedings of Design Research Society 2022. London: Design Research Society. https://doi.org/10.21606/drs.2022.807
2020
Kun, P., Mulder, I., & Kortuem, G. W. (2020). Developing a Design Inquiry Method for Data Exploration. Interaction Design and Architecture(s), 45, 180-206.
2019
Kun, P., Mulder, I., De Götzen, A., & Kortuem, G. (2019). Creative Data Work in the Design Process. In Proceedings of the 2019 ACM SIGCHI Conference on Creativity and Cognition. ACM.: https://doi.org/10.1145/3325480.3325500
Mulder, I., & Kun, P. (2019). Hacking, Making, and Prototyping for Social Change. In M. de Lange, & M. de Waal (Eds.), The Hackable City: Digital Media and Collaborative City-Making in the Network Society (pp. 225-238). Singapore: Springer. https://doi.org/10.1007/978-981-13-2694-3_12
Kun, P. (2019) Tools for Capacity Building. In Workshop on Exploring, Defining, & Advancing Community-Driven Design for Social Impact at ACM Designing Interactive Systems Conference, 23 Jun 2019, San Diego, United States.
Kun, P. (2019) Empowering Diffuse Designers Using Data In Design. In Workshop on Civic Data Literacies for Bottom-up Data Innovation at 9th Communities and Technologies Conference, 3 Jun 2019, Vienna, Austria.
Wolff, A., Kun, P., Knutas, A., Palacin, V., Seidelin, C., & Mulder, I. (2019) Civic Data Literacies for Bottom-up Data Innovation. In Extended Abstracts of the 9th Communities and Technologies Conference, 3-7 June 2019, Vienna, Austria.
Kun, P. (2019) Creative Data Work – Designers Appropriating Data Work for Design Inquiry. In Workshop on Human-Centered Study of Data Science Work Practice at ACM SIGCHI Conference, May 2019, Glasgow, United Kingdom.
2018
Kun, P., Mulder, I., & Kortuem, G. (2018). Data Exploration for Generative Design Research. In Proceedings of Design Research Society 2018 (pp. 1342-1356). London: Design Research Society. https://doi.org/10.21606/drs.2018.565 (Best Paper Award)
De Götzen, A., Kun, P., Simeone, L., & Morelli, N. (2018). Making Sense of Data in a Service Design Education. In Proceedings of the ServDes.2018 Conference (pp. 177-187). Linköping University Electronic Press.
Kun, P., Mulder, I., & Kortuem, G. (2018). Design Enquiry Through Data: Appropriating a Data Science Workflow for the Design Process. In Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI 2018). BCS Learning and Development Ltd. https://doi.org/10.14236/ewic/HCI2018.32
Kun, P. (2018) End-user Data Tool Assemblages for Design Inquiry. In Workshop on Digital Tools in Collaborative Creative Work at NordiCHI’18, 29 Sep, 2018, Oslo, Norway.
2017
Concilio, G., Molinari, F., Morelli, N., Torntoft, L. K., De Götzen, A., Mulder, I., Jaskiewicz, T., Kun, P., Pedersen, J., Ammentorp, P., Aguilar, M., Edman, T. & Sorensen, A. S. (2017). OpenDataLabs: New Infrastructures for Open Data Commons. Poster session presented at ECDG 2017: 17th European Conference on Digital Government, Lisbon, Portugal.
2016
Kun, P., & Mulder, I. (2016) Prototyping for Citizen Engagement. Workshop at the Design and the City Conference, 22 Apr, 2016, Amsterdam, The Netherlands.
2015
Kun, P., & Mulder, I. (2015). From Quantified Self to Quantified Neighbourhood. In Proceedings of PIN-C 2015: Reframing Design, the 4th Participatory Innovation Conference (pp. 138-143). The Hague University of Applied Sciences.
2013
Fohlin, R., Kun, P., Rebolo, L., Jansson, M., & Swinkels, N. (2013). Music Co-Creation in Public Spaces via Interactive Coffee Tables (poster). In 9th Student Interaction Design Research conference (SIDeR).