Papers

Export 11 results:
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
Conference Paper
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
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
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
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
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
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
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
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
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
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
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
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
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
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/
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
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
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
Dolata, M., Crowston, K., & Schwabe, G.. (2022). Project archetypes: A blessing and a curse for AI development. In International Conference on Information Systems (ICIS). Presented at the International Conference on Information Systems (ICIS), Copenhagen, Denmark. Retrieved de https://aisel.aisnet.org/icis2022/is_design/is_design/6
PDF icon icis_archetypes_rev1_v20_zora.pdf (433.37 KB)
Sampson, S. (2020). Predicting Automation of Professional Jobs in Healthcare. In Proceedings of the 53rd Hawaii International Conference on System Sciences (3, 3529–3537). https://doi.org/10.24251/hicss.2020.433
Aragon, C. R., & Poon, S.. (2011). No sense of distance. In the 2011 iConferenceProceedings of the 2011 iConference on - iConference '11 (159 - 165). https://doi.org/10.1145/1940761.1940783
Østerlund, C., Crowston, K., Jackson, C. B., Takou-Ayaoh, M., Wu, Y., & Katsaggelos, A. K.. (2024). Mutual learning in human-AI interaction. In Trust and Reliance in Evolving Human-AI Workflows (TREW) Workshop, ACM CHI Conference. Presented at the Trust and Reliance in Evolving Human-AI Workflows (TREW) Workshop, ACM CHI Conference, Honolulu, HI.
PDF icon TREW_Workshop_Paper_2024.pdf (392.26 KB)
Seeber, I., Bittner, E., Briggs, R. O., de Vreede, G. - J., de Vreede, T., Druckenmiller, D., et al.. (2018). Machines as Teammates: A Collaboration Research Agenda. In Hawaii International Conference on System Sciences. Presented at the Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2018.055
PDF icon SeeberEtAl_2018_MachinesAsTeammates.pdf (949.98 KB)
Kühl, N., Goutier, M., Hirt, R., & Satzger, G.. (2019). Machine learning in Artificial Intelligence: Towards a common understanding (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.2019.630

Pages