Papers

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Conference Paper
Malone, T. W., Nickerson, J. V., Laubacher, R. J., Fisher, L. Hesse, de Boer, P., Han, Y., & Ben Towne, W.. (2017). Putting the Pieces Back Together Again: Contest Webs for Large-Scale Problem Solving. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (1661–1674). https://doi.org/10.1145/2998181.2998343
Research on the application of artificial intelligence technology in human resource management. (2018). Research on the application of artificial intelligence technology in human resource management. In 2018 2nd International Conference on Systems, Computing, and Applications2018 2nd International Conference on Systems, Computing, and Applications (SYSTCA 2018). Presented at the 2018 2nd International Conference on Systems, Computing, and Applications2018 2nd International Conference on Systems, Computing, and Applications (SYSTCA 2018). https://doi.org/10.25236/systca.18.038
Gruetzemacher, R. (2018). Rethinking AI strategy and policy as entangled super wicked problems (J. Furman, Marchant, G., Price, H., & Rossi, F., Trans.). In the 2018 AAAI/ACM ConferenceProceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society - AIES '18 (122 - 122). https://doi.org/10.1145/3278721.3278746
zollosy, M. (2017). Robots, ai, and the question of 'e-persons'. In Journal of science communication. Presented at the Journal of science communication. Retrieved de http://eprints.whiterose.ac.uk/124830/
Berntzen, M., & Wong, S. I.. (2019). The roles of initiated and received task interdependence (T. Bui, Tran.). In Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences. Presented at the Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2019.119
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
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
Lee, H., Kwon, H., Robinson, R. M., Nothwang, W. D., & Marathe, A. R.. (2016). SPIE ProceedingsAn efficient fusion approach for combining human and machine decisions. In SPIE Defense + SecurityMicro- and Nanotechnology Sensors, Systems, and Applications VIII (9836, 983621). https://doi.org/10.1117/12.2220788
Metcalfe, J. S., Marathe, A. R., Haynes, B., Paul, V. J., Gremillion, G. M., Drnec, K., et al.. (2017). SPIE ProceedingsBuilding a framework to manage trust in automation. In SPIE Defense + SecurityMicro- and Nanotechnology Sensors, Systems, and Applications IX (10194, 101941U). https://doi.org/10.1117/12.2264245
Murphy, R. R., & Schreckenghost, D.. (2013). Survey of metrics for human-robot interaction. In IEEE International Conference. Presented at the IEEE International Conference. Retrieved de https://ieeexplore.ieee.org/document/6483569
Young, A. G., Young, A. G., & Kane, G. C.. (2018). Theorizing human and bot co - production effects on information quality. In Thirty - n inth International Conference on Information Systems,. Presented at the Thirty - n inth International Conference on Information Systems. Retrieved de https://icis2018postergallery.weebly.com/416-social-media-and-digital-collaboration.html
Mlynar, J., Alavi, H. S., Verma, H., & Cantoni, L.. (2018). Towards a Sociological Conception of Artificial Intelligence. In Artificial General Intelligence (AGI). Presented at the Artificial General Intelligence (AGI). https://doi.org/10.1007/978-3-319-97676-1_13
Stoeckli, E., Uebernickel, F., & Brenner, W.. (2018). Towards an understanding of how chatbots create value (T. Bui, Tran.). In Hawaii International Conference on System SciencesProceedings of the 51st Hawaii International Conference on System Sciences. Presented at the Hawaii International Conference on System SciencesProceedings of the 51st Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2018.255
Toxtli, C., Monroy-Hernández, A., & Cranshaw, J.. (2018). Understanding Chatbot-mediated Task Management (R. Mandryk, Hancock, M., Perry, M., & Cox, A., Trans.). In the 2018 CHI ConferenceProceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18 (1 - 6). https://doi.org/10.1145/317357410.1145/3173574.3173632
Ferreira, P., Teixeira, J. Grenha, & Teixeira, L. F.. (2020). Understanding the Impact of Artificial Intelligence on Services. In International Conference on Exploring Services Science (1, 202–213). https://doi.org/10.1007/978-3-030-38724-2
Greco, C., Polonioli, A., & Tagliabue, J.. (2019). Why small data holds the key to the future of artificial intelligence. In 8th International Conference on Data Science, Technology and ApplicationsProceedings of the 8th International Conference on Data Science, Technology and Applications (340 - 347). https://doi.org/10.5220/0007956203400347
WIllis, M., & Meyer, E. T.. (2018). Work that Enables Care: Understanding Tasks, Automation, and the National Health Service. In iConference. Presented at the iConference. https://doi.org/10.1007/978-3-319-78105-1_60
Conference Proceedings
Petridis, S., Diakopoulos, N., Crowston, K., Hansen, M., Henderson, K., Jastrzebski, S., et al.. (2023). AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3544548.3580907
Aguirre, S., & Rodriguez, A.. (2017). Automation of a Business Process Using Robotic Process Automation (RPA): A Case Study (J. Carlos Figueroa-García, López-Santana, E. Ramiro, Villa-Ramírez, J. Luis, & Ferro-Escobar, R., Eds.). In Workshop on Engineering Applications (WEA 2017): Applied Computer Sciences in Engineering (pp. 65 - 71). https://doi.org/10.1007/978-3-319-66963-2_7
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
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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
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.
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
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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)

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