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Papers

Export 11 results:
Journal Article
Sokol, J. (2017). AI in Action: Machines that make sense of the sky. Science, 357(6346), 26 - 26. https://doi.org/10.1126/science.357.6346.26
Pennisi, E. (2017). AI in Action: Combing the genome for the roots of autism. Science, 357(6346), 25 - 25. https://doi.org/10.1126/science.357.6346.25
Kuziemski, M., & Misuraca, G.. (2020). AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings. Telecommunications Policy, 44, 101976. https://doi.org/10.1016/j.telpol.2020.101976
Sidaoui, K., Jaakkola, M., & Burton, J.. (2020). AI feel you: customer experience assessment via chatbot interviews. Journal Of Service Management. https://doi.org/10.1108/JOSM-11-2019-0341
Jokisch, O., & Huber, M.. (2018). Advances in the development of a cognitive user interface. Matec Web Of Conferences, 161, 01003. https://doi.org/10.1051/matecconf/201816101003
Noonpakdee, W. (2020). The Adoption of Artificial Intelligence for Financial Investment Service. 2020 22Nd International Conference On Advanced Communication Technology (Icact), 396–400.
Conference Proceedings
PDF icon AI_similarity.pdf (774.81 KB)
Wang, S., Menon, S., Long, T., Henderson, K., Li, D., Crowston, K., et al.. (2024). ReelFramer: Human-AI Co-Creation for News-to-Video Translation. In CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3613904.3642868
Kirsch, C., Troxier, P., & Ulich, E.. (1995). Integration of people, technology and organization: the european approach. In International Conference on Human-Computer Interaction (HCI International) (pp. 957-961). Tokyo, Japan: Elsevier.
Crowston, K., & Bolici, F.. (2020). Impacts of the Use of Machine Learning on Work Design. In 8th International Conference on Human-Agent Interaction. https://doi.org/10.1145/3406499.3415070
PDF icon Impacts_of_ML_for_HAI_2020.pdf (453.59 KB)
Crowston, K., & Bolici, F.. (2019). Impacts of machine learning on work. In Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). https://doi.org/10.24251/HICSS.2019.719
PDF icon Impacts_of_machine_learning_on_work__revision_.pdf (300.76 KB)
Harandi, M., Crowston, K., Jackson, C., & Østerlund, C.. (2020). The Genie in the Bottle: Different Stakeholders, Different Interpretations of Machine Learning. In Hawai'i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.719
PDF icon Social_Construction_of_ML_in_GS_HICCS2020.pdf (124.3 KB)
Dalgali, A., & Crowston, K.. (2020). Factors Influencing Approval of Wikipedia Bots. In Hawai'i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.018
PDF icon HICSS_WikipediaPaper_3.9.new kc (2).pdf (473.63 KB)
Grote, G., Weik, S., Wafler, T., & Zolch, M.. (1995). Complementary allocation of functions in automated work systems. In International Conference on Human-Computer Interaction (HCI International) (pp. 989-994). Elsevier.
Di Prospera, A., norouzi, N., Fokaefs, M., & Litoiu, M.. (2017). Chatbots as assistants, an architectural framework. In CASCON '17 Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering. Retrieved de https://dl.acm.org/citation.cfm?id=3172805
Crowston, K., Østerlund, C., & Lee, T. Kyoung. (2017). Blending machine and human learning processes. In Hawai'i International Conference on System Sciences. https://doi.org/10.24251/HICSS.2017.009
PDF icon training v3 to share.pdf (245.57 KB)

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