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2020 – today
- 2024
[c6]Anna Marie Rezk
, Auste Simkute, Ewa Luger, John Vines, Chris Elsden, Michael Evans, Rhianne Jones:
Agency Aspirations: Understanding Users' Preferences And Perceptions Of Their Role In Personalised News Curation. CHI 2024: 190:1-190:16- [c5]Alyssa Iglar, Auste Simkute, Abigail Sellen, Mark H. Chignell:
Getting Back Together: HCI and Human Factors Joining Forces to Meet the AI Interaction Challenge. CHI Extended Abstracts 2024: 472:1-472:5 - [c4]Lev Tankelevitch, Viktor Kewenig, Auste Simkute, Ava Elizabeth Scott, Advait Sarkar, Abigail Sellen, Sean Rintel:
The Metacognitive Demands and Opportunities of Generative AI. CHI 2024: 680:1-680:24 - [c3]Anna Marie Rezk, Auste Simkute, John Vines, Chris Elsden, Michael Evans, Rhianne Jones, Ewa Luger:
User-Centric Tensions: Exploring Perceived Benefits and (Dis)comfort in Media Personalisation. NordiCHI 2024: 32:1-32:13 - [i4]Auste Simkute, Lev Tankelevitch, Viktor Kewenig, Ava Elizabeth Scott, Abigail Sellen, Sean Rintel:
Ironies of Generative AI: Understanding and mitigating productivity loss in human-AI interactions. CoRR abs/2402.11364 (2024) - [i3]Auste Simkute, Ewa Luger, Michael Evans, Rhianne Jones:
"It is there, and you need it, so why do you not use it?" Achieving better adoption of AI systems by domain experts, in the case study of natural science research. CoRR abs/2403.16895 (2024) - 2023
- [i2]Lev Tankelevitch, Viktor Kewenig, Auste Simkute, Ava Elizabeth Scott, Advait Sarkar, Abigail Sellen, Sean Rintel:
The Metacognitive Demands and Opportunities of Generative AI. CoRR abs/2312.10893 (2023) - 2022
- [c2]Auste Simkute, Aditi Surana, Ewa Luger, Michael Evans, Rhianne Jones:
XAI for learning: Narrowing down the digital divide between "new" and "old" experts. NordiCHI (Adjunct) 2022: 39:1-39:6 - [i1]Andreas C. Bueff, Ioannis Papantonis, Auste Simkute, Vaishak Belle:
Explainability in Machine Learning: a Pedagogical Perspective. CoRR abs/2202.10335 (2022) - 2020
- [c1]Auste Simkute, Ewa Luger, Mike Evans, Rhianne Jones:
Experts in the Shadow of Algorithmic Systems: Exploring Intelligibility in a Decision-Making Context. Conference on Designing Interactive Systems (Companion Volume) 2020: 263-268
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