The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
COVER STORYBeyond interaction: a short introduction to mediation theory
Open accessAbstract
Interaction is one of many possible relations between humans and technologies. Mediation theory can help designers to anticipate the impact of a product on human practices and experiences. Another approach to human-technology relations has a dialectical nature in the sense that it sees an opposition, rather than a continuity between humans and technologies. The concept of technological mediation can be helpful in investigating this hybrid character of human-technology relations.
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Cites
Clark, A., & Chalmers, D. (1998) · Analysis · doi:10.1093/analys/58.1.7 · Cited by 6,333 · cited 1×
“Another variant of extensionism can be found in the “extended mind theory,” as defended by Andy Clark and David Chalmers [2,3].”
BackgroundCyborg intentionality: Rethinking the phenomenology of human–technology relations
Verbeek, P.-P. (2008) · Phenomenology and the Cognitive Sciences · doi:10.1007/s11097-008-9099-x · Cited by 315 · cited 1×
“Many recent technologies, however, do not fit into one of these four categories [11].”
BackgroundSelf-citation
Cited by
Stephanidis, C., Salvendy, G., Antona, M., Chen, J. Y. C., Dong, J., Duffy, V. G., Fang, X., Fidopiastis, C., Fragomeni, G., Fu, L. P., et al. (2019) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2019.1619259 · Cited by 524
TPACK in the age of ChatGPT and Generative AI
Mishra, P., Warr, M., & Islam, R. (2023) · Journal of Digital Learning in Teacher Education · doi:10.1080/21532974.2023.2247480 · Cited by 484
From Research Prototype to Research Product
Odom, W., Wakkary, R., Lim, Y.-K., Desjardins, A., Hengeveld, B., & Banks, R. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858447 · Cited by 259
A high-level overview of AI ethics
Kazim, E., & Koshiyama, A. S. (2021) · Patterns · doi:10.1016/j.patter.2021.100314 · Cited by 269
Machine Learning Uncertainty as a Design Material: A Post-Phenomenological Inquiry
Benjamin, J. J., Berger, A., Merrill, N., & Pierce, J. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445481 · Cited by 130
Metadata
- Authors
- Verbeek, P.-P.
- Venue
- Interactions
- Published
- 2015-04-27
- Volume
- 22
- Issue
- 3
- Pages
- 26-31
- ISSN
- 1072-5520 (ISSN-L)
- 1558-3449
- OpenAlex
- W2059635092
- Cited by
- 256
- References
- 2
- FWCI
- 18.89
- Type
- journal article
- Language
- en
- Open access
- bronze
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