Sledovat
Auste Simkute
Auste Simkute
Researcher
E-mailová adresa ověřena na: ed.ac.uk
Název
Citace
Citace
Rok
The metacognitive demands and opportunities of generative AI
L Tankelevitch, V Kewenig, A Simkute, AE Scott, A Sarkar, A Sellen, ...
Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-24, 2024
602024
Explainability for experts: A design framework for making algorithms supporting expert decisions more explainable
A Simkute, E Luger, B Jones, M Evans, R Jones
Journal of Responsible Technology 7, 100017, 2021
452021
Ironies of generative AI: understanding and mitigating productivity loss in Human-AI interaction
A Simkute, L Tankelevitch, V Kewenig, AE Scott, A Sellen, S Rintel
International Journal of Human–Computer Interaction, 1-22, 2024
192024
Age-related differences in the ability to decode intentions from non-literal language
C Pomareda, A Simkute, LH Phillips
Acta psychologica 198, 102865, 2019
182019
XAI for learning: Narrowing down the digital divide between “new” and “old” experts
A Simkute, A Surana, E Luger, M Evans, R Jones
Adjunct Proceedings of the 2022 Nordic Human-Computer Interaction Conference …, 2022
152022
Experts in the shadow of algorithmic systems: Exploring intelligibility in a decision-making context
A Simkute, E Luger, M Evans, R Jones
Companion Publication of the 2020 ACM Designing Interactive Systems …, 2020
82020
C-XAI: A conceptual framework for designing XAI tools that support trust calibration
M Naiseh, A Simkute, B Zieni, N Jiang, R Ali
Journal of Responsible Technology 17, 100076, 2024
72024
Explainability in machine learning: a pedagogical perspective
A Bueff, I Papantonis, A Simkute, V Belle
arXiv preprint arXiv:2202.10335, 2022
42022
The New Calculator? Practices, Norms, and Implications of Generative AI in Higher Education
A Simkute, V Kewenig, A Sellen, S Rintel, L Tankelevitch
arXiv preprint arXiv:2501.08864, 2025
2025
Reimagining explainability in expert contexts: setting foundations for effective expert-AI interactions through design and collaboration
A Simkute
The University of Edinburgh, 2024
2024
User-Centric Tensions: Exploring Perceived Benefits and (Dis)comfort in Media Personalisation
EL Anna Marie Rezk, Auste Simkute, John Vines, Chris Elsden, Michael Evans ...
NordiCHI 2024: Nordic Conference on Human-Computer Interaction 32, 1-13, 2024
2024
Explainability in expert contexts: Challenges and limitations in supporting domain experts in AI-driven decision-making
A Simkute
https://zenodo.org/records/13132939, 2024
2024
Getting Back Together: HCI and Human Factors Joining Forces to Meet the AI Interaction Challenge
A Iglar, A Simkute, A Sellen, M Chignell
Extended Abstracts of the CHI Conference on Human Factors in Computing …, 2024
2024
Agency Aspirations: Understanding Users' Preferences And Perceptions Of Their Role In Personalised News Curation
AM Rezk, A Simkute, E Luger, J Vines, C Elsden, M Evans, R Jones
Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-16, 2024
2024
" 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
A Simkute, E Luger, M Evans, R Jones
arXiv preprint arXiv:2403.16895, 2024
2024
Journal of Responsible Technology
A Simkute, E Luger, B Jones, M Evans, R Jones
Journal of Responsible Technology 7 (8), 100017, 2021
2021
Systém momentálně nemůže danou operaci provést. Zkuste to znovu později.
Články 1–16