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Interpretability as a dynamic of human-AI interaction

Published: 01 September 2020 Publication History
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References

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Grayson, M., Thieme, A., Marques, R., Massiceti, D., Cutrell, E., and Morrison, C. A dynamic AI system for extending the capabilities of blind people. CHI EA'2020. ACM, 2020, 1--4
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Morrison, C., Cutrell, E., Dhareshwar, A., Doherty, K., Thieme, A., and Taylor, A. Imagining artificial intelligence applications with people with visual disabilities using tactile ideation. Proc. ASSETS 2017. ACM, 2017, 81--90
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Thieme, A., Bennett, C.L., Morrison, C., Cutrell, E., and Taylor, A.S. 'I can do everything but see!'---How people with vision impairments negotiate their abilities in social contexts. Proc. CHI 2018. ACM, 2018, Paper 203
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Stearns, L. and Thieme, A. Automated person detection in dynamic scenes to assist people with vision impairments: An initial investigation. Proc. ASSETS 2018. ACM, 2018, 391--394

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  • (2024)Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for RadiologyProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642013(1-22)Online publication date: 11-May-2024
  • (2023)Designing for Hybrid Intelligence: A Taxonomy and Survey of Crowd-Machine InteractionApplied Sciences10.3390/app1304219813:4(2198)Online publication date: 8-Feb-2023
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Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 September 2020
Published in INTERACTIONS Volume 27, Issue 5

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Cited By

View all
  • (2024)The Rise of the AI Co-Pilot: Lessons for Design from Aviation and BeyondCommunications of the ACM10.1145/3637865Online publication date: 28-Jun-2024
  • (2024)Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for RadiologyProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642013(1-22)Online publication date: 11-May-2024
  • (2023)Designing for Hybrid Intelligence: A Taxonomy and Survey of Crowd-Machine InteractionApplied Sciences10.3390/app1304219813:4(2198)Online publication date: 8-Feb-2023
  • (2022)Urban Life and Artificial Intelligence, Machine Learning, Deep Learning, and Ambient Learning in Smart CitiesUrban Life and the Ambient in Smart Cities, Learning Cities, and Future Cities10.4018/978-1-6684-4096-4.ch007(133-155)Online publication date: 11-Nov-2022
  • (2022)Designing Human-centered AI for Mental Health: Developing Clinically Relevant Applications for Online CBT TreatmentACM Transactions on Computer-Human Interaction10.1145/356475230:2(1-50)Online publication date: 7-Oct-2022
  • (2021)MeetingCoach: An Intelligent Dashboard for Supporting Effective & Inclusive MeetingsProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445615(1-13)Online publication date: 6-May-2021

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