Papers
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. (2019). Beyond Dyadic Interactions: Considering Chatbots as Community Members (). In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI '19 (1-13). https://doi.org/10.1145/3290605
. (2009). The changing face of digital science (). In the 27th international conference extended abstractsProceedings of the 27th international conference extended abstracts on Human factors in computing systems - CHI EA '09 (4819). https://doi.org/10.1145/1520340.1520749
. (2009). The changing face of digital science (). In the 27th international conference extended abstractsProceedings of the 27th international conference extended abstracts on Human factors in computing systems - CHI EA '09 (4819). https://doi.org/10.1145/1520340.1520749
. (2019). Consider the human work experience when integrating robotics in the workplace. In 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (75 - 84). https://doi.org/10.1109/HRI.2019.8673139
. (2017). Data tracking in search of workflows (). In the 2017 ACM ConferenceProceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW '17 (2153 - 2165). https://doi.org/10.1145/2998181.2998296
. (2020). Does AI qualify for the job? A bidirectional model mapping labour and AI intensities. In AIES 2020 - Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (94–100). https://doi.org/10.1145/3375627.3375831
. (2013). The future of crowd work. In Proceedings of the 2013 conference on Computer supported cooperative work (1301–1318). ACM.
. (2019). How May I Help You? – State of the Art and Open Research Questions for Chatbots at the Digital Workplace (). 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.2019.013
. (2019). Inferring work task automatability from AI expert evidence (). In the 2019 AAAI/ACM ConferenceProceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society - AIES '19 (485 - 491). https://doi.org/10.1145/330661810.1145/3306618.3314247
. (2019). Machine learning in Artificial Intelligence: Towards a common understanding (). 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
. (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
. (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
. (2018). Understanding Chatbot-mediated Task Management (). 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
. (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
. (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
. (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
Social_Construction_of_ML_in_GS_HICCS2020.pdf (124.3 KB). (2024). ReelFramer: Human-AI Co-Creation for News-to-Video Translation. In CHI Conference on Human Factors in Computing Systems. Retrieved de https://arxiv.org/abs/2304.09653
. (2024). ReelFramer: Human-AI Co-Creation for News-to-Video Translation. In CHI Conference on Human Factors in Computing Systems. Retrieved de https://arxiv.org/abs/2304.09653
. (2018). Accounting for the neglected dimensions of AI progress. Data-Efficient Ml. Retrieved de https://arxiv.org/abs/1806.00610
. (2018). Accounting for the neglected dimensions of AI progress. Data-Efficient Ml. Retrieved de https://arxiv.org/abs/1806.00610
. (2018). Advances in the development of a cognitive user interface. Matec Web Of Conferences, 161, 01003. https://doi.org/10.1051/matecconf/201816101003
. (2019). AI-Based Digital Assistants. Business & Information Systems Engineering, 61(4), 535 - 544. https://doi.org/10.1007/s12599-019-00600-8
. (2019). AI-Based Digital Assistants. Business & Information Systems Engineering, 61(4), 535 - 544. https://doi.org/10.1007/s12599-019-00600-8
. (2018). Applications of machine learning algorithms to predict therapeutic outcomes in depression: A meta-analysis and systematic review. Journal Of Affective Disorders, 241, 519-532. https://doi.org/10.1016/j.jad.2018.08.073