Papers

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Gombolay, M., Bair, A., Huang, C., & Shah, J.. (2017). Situational awareness, workload, and workflow preferences. The International Journal Of Robotics Research, 36(5-7), 597 - 617. https://doi.org/10.1177/0278364916688255
Rahman, H. A., & Barley, S. R.. (2017). Situated redesign in creative occupations – An ethnography of architects. Academy Of Management Discoveries, 3(4), 404 - 424. https://doi.org/10.5465/amd.2016.0039
Schneider, S., Taylor, G. W., & Kremer, S. C.. (2020). Similarity Learning Networks for Animal Individual Re-Identification-Beyond the Capabilities of a Human Observer. In Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2020 (479, 44–52). https://doi.org/10.1109/WACVW50321.2020.9096925
Berg, A., Buffie, E. F., & Zanna, L. - F.. (2018). Should we fear the robot revolution?. Journal Of Monetary Economics, 97, 117 - 148. https://doi.org/10.1016/j.jmoneco.2018.05.014
Patterson, E. S., & Woods, D. D.. (2001). Shift changes, updates, and the on-call architecture in space shuttle mission control. Computer Supported Cooperative Work (Cscw), 10(3-4), 317 - 346. https://doi.org/10.1023/A:1012705926828
Decker, M., Fischer, M., & Ott, I.. (2017). Service Robotics and Human Labor: A first technology assessment of substitution and cooperation. Robotics And Autonomous Systems, 87, 348 - 354. https://doi.org/10.1016/j.robot.2016.09.017
Stilgoe, J. (2017). Seeing Like a Tesla: How Can We Anticipate Self-Driving Worlds?. Glocalism, 3. https://doi.org/10.12893/gjcpi.2017.3.2
Rieder, B. (2017). Scrutinizing an algorithmic technique: the Bayes classifier as interested reading of reality. Information, Communication & Society, 20(1), 100 - 117. https://doi.org/10.1080/1369118X.2016.1181195
Kuhn, T. (2015). Science bot: a model for the future computation (A. Gangemi, Leonardi, S., & Panconesi, A., Trans.). In the 24th International ConferenceProceedings of the 24th International Conference on World Wide Web - WWW '15 Companion (1061 - 1062). https://doi.org/10.1145/2740908.2742014
Kittur, A., Yu, L., Hope, T., Chan, J., Lifshitz-Assaf, H., Gilon, K., et al.. (2019). Scaling up analogical innovation with crowds and AI. Proceedings Of The National Academy Of Sciences, 116(6), 1870-1877. https://doi.org/10.1073/pnas.1807185116

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