Tora Jarsve

• Culén, Alma Leora; Niess, Jasmin; Carvalho, Aparecido Fabiano Pinatti de; Caspersen, Aki Axel; Jarsve, Tora & Joshi, Suhas Govind [Show all 11 contributors for this article] (2026). The Misalignment of Technology, Democracy, and Design: A Scoping Review. In Yen, Chingchiuan; Lee, Jung-joo; Do, Ellen Yi Luen; Zheng, Clement; Yoo, Daisy & Tang, Tony (Ed.), DIS '26: Proceedings of the 2026 Designing Interactive Systems Conference. Association for Computing Machinery (ACM). ISSN 9798400725630. p. 2595–2612. doi: 10.1145/3800645.3813042. Full text in Research Archive Show summary

  This scoping review examines the past decade of research at the intersection of democracy, technology and design. Analysing 170 articles across Scopus, the ACM Digital Library, and the DRS Digital Library, we investigate how this research relates to democracy and how democratic values are conceptualised and enacted through interactive systems. We identify four dominant orientations: technology as democratic repair, as risk, as co-constitutive of democratic practices, and as embedded in everyday collective action and lived practices. Across these, we reveal a persistent misalignment: while democratic values are frequently invoked, much of the work reduces democracy to technical or procedural problems, prioritising optimisation over power, relationality, and lived practice. As a result, key dimensions such as collective agency, structural inequalities, and infrastructural conditions remain under-addressed, offering novel opportunities for HCI research. We argue that democratic technology design should advance better alignment fostering responsibility, participation, equity, and transparency in sociotechnical systems.

• Jarsve, Tora; Jacobsen, Runa Marie Bryhn; Soma-Jestilä, Rebekka; Woźniak, Paweł W. & Niess, Jasmin (2024). AMoRE Framework: Four Perspectives on Talking About and Experiencing Robots, NordiCHI '24 Adjunct: Adjunct Proceedings of the 2024 Nordic Conference on Human-Computer Interaction. Association for Computing Machinery (ACM). ISSN 9798400709654. doi: 10.1145/3679318.3685342. Full text in Research Archive
• Jarsve, Tora; Malkomsen, Emma Rist; Woźniak, Paweł W. & Niess, Jasmin (2024). Exploring User Expectations and Perceived Creepiness in AI: A Study on Furhat and ChatGPT, NordiCHI '24 Adjunct: Adjunct Proceedings of the 2024 Nordic Conference on Human-Computer Interaction. Association for Computing Machinery (ACM). ISSN 9798400709654. doi: 10.1145/3677045.3685428. Full text in Research Archive

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