Publications

Google Scholar Profile

Benjamin, Jesse Josua. 2023. ‘Gathering Design and its Center(s): Book Review of “Things we could design for More-Than-Human-centered Worlds” by Ron Wakkary, MIT Press’. In Techné: Research in Philosophy and Technology. Forthcoming.

Benjamin, Jesse Josua, Heidi Biggs, Arne Berger, Julija Rukanskaitė, Michael B. Heidt, Nick Merrill, James Pierce, and Joseph Lindley. 2023. ‘The Entoptic Field Camera as Metaphor-Driven Research-through-Design with AI Technologies’. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 1–19. CHI ’23. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3544548.3581175.

Berger, Arne, Albrecht Kurze, Andreas Bischof, Jesse Josua Benjamin, Richmond Y. Wong, and Nick Merrill. 2023. ‘Accidentally Evil: On Questionable Values in Smart Home Co-Design’. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 1–14. CHI ’23. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3544548.3581504.

Lee-Smith, Matthew L., Jesse Josua Benjamin, Audrey Desjardins, et al. 2023. ‘Data as a Material for Design: Alternative Narratives, Divergent Pathways, and Future Directions’. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 1–5.. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3544549.3573817.

Green, David Philip, Joseph Lindley, Enrique Encinas, Mayane Dore, Jesse Josua Benjamin, and Spyros Bofylatos. 2023. ‘Ways of Seeing Design Research: A Polyphonic Speculation’. Nordes Conference Series, June. https://doi.org/10.21606/nordes.2023.96

Benjamin, Jesse Josua. 2023. ‘Machine Horizons: Post-Phenomenological AI Studies’. Doctoral dissertation, University of Twente. https://bit.ly/3MBQocg.

Benjamin, Jesse Josua, Christoph Kinkeldey, Claudia Müller-Birn, Tim Korjakow, and Eva-Maria Herbst. 2022. ‘Explanation Strategies as an Empirical-Analytical Lens for Socio-Technical Contextualization of Machine Learning Interpretability’. Proceedings of the ACM on Human-Computer Interaction 6 (GROUP): 39:1-39:25. https://doi.org/10.1145/3492858.

Benjamin, Jesse Josua. 2021. ‘The Spark of a Future Anterior: An Archaeology of Entoptic Media’. ŠUM Journal for Contemporary Art Criticism and Theory, no. 16: 2172–84. https://www.sum.si/journal-articles/the-spark-of-a-future-anterior-an-archaeology-of-entoptic-media.

Benjamin, Jesse Josua, Arne Berger, Nick Merrill, and James Pierce. 2021. ‘Machine Learning Uncertainty as a Design Material: A Post-Phenomenological Inquiry’. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 1–14. CHI ’21. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3411764.3445481.

Kinkeldey, Christoph, Tim Korjakow, and Jesse Josua Benjamin. 2019. ‘Towards Supporting Interpretability of Clustering Results with Uncertainty Visualization’. In Eurographics Proceedings 2019. The Eurographics Association. https://doi.org/10.2312/trvis.20191183.

Benjamin, Jesse Josua. 2016. Form, Function, Contagion –Seeking the Remainder of Networked Media. MRes Thesis, University of Brighton.