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ORCIDPiers Douglas Lionel Howe
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- affiliation: University of Melbourne, School of Psychological Sciences, Australia
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2020 – today
- 2024
[i3]Ronal Singh, Tim Miller, Liz Sonenberg, Eduardo Velloso, Frank Vetere
, Piers Howe, Paul Dourish:
An Actionability Assessment Tool for Explainable AI. CoRR abs/2407.09516 (2024)- 2023
- [j5]Mor Vered, Tali Livni, Piers Douglas Lionel Howe, Tim Miller, Liz Sonenberg:
The effects of explanations on automation bias. Artif. Intell. 322: 103952 (2023) - [j4]Ronal Singh, Tim Miller, Henrietta Lyons, Liz Sonenberg, Eduardo Velloso, Frank Vetere, Piers Howe, Paul Dourish:
Directive Explanations for Actionable Explainability in Machine Learning Applications. ACM Trans. Interact. Intell. Syst. 13(4): 23:1-23:26 (2023) - [c4]Piers Howe, Andrew Perfors, Keith James Ransom, Bradley Walker, Nicolas Fay, Yoshihisa Kashima, Morgan Saletta:
Self-Censorship Appears to be an Effective Way of Reducing the Spread of Misinformation on Social Media. CogSci 2023 - [c3]Jessica Marris, Andrew Perfors, Robert N. Gibson, Frank Gaillard, Piers Howe:
Testing the Effectiveness of Augmenting Perceptual Training With Annotations and Steps in a Difficult Visual Discrimination Task. CogSci 2023 - 2022
- [j3]Tom Wilkening, Marcellin Martinie, Piers Douglas Lionel Howe:
Hidden Experts in the Crowd: Using Meta-Predictions to Leverage Expertise in Single-Question Prediction Problems. Manag. Sci. 68(1): 487-508 (2022) - 2021
- [c2]Piers Douglas Lionel Howe, Andrew Perfors, Keith James Ransom:
What interventions can decrease or increase belief polarisation in a population of rational agents? CogSci 2021 - [c1]Jessica Marris, Andrew Perfors, David Mitchell, Wayland Wang, Mark W. McCusker, Timothy John Haynes Lovell, Robert N. Gibson, Frank Gaillard, Piers Douglas Lionel Howe:
How effective is perceptual training? Evaluating two perceptual training methods on a difficult visual categorisation task. CogSci 2021 - [i2]Ronal Rajneshwar Singh, Paul Dourish, Piers Howe, Tim Miller, Liz Sonenberg, Eduardo Velloso, Frank Vetere:
Directive Explanations for Actionable Explainability in Machine Learning Applications. CoRR abs/2102.02671 (2021) - 2020
- [j2]Mor Vered, Piers Howe, Tim Miller, Liz Sonenberg, Eduardo Velloso:
Demand-Driven Transparency for Monitoring Intelligent Agents. IEEE Trans. Hum. Mach. Syst. 50(3): 264-275 (2020)
2010 – 2019
- 2017
- [i1]Tim Miller, Piers Howe, Liz Sonenberg:
Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences. CoRR abs/1712.00547 (2017) - 2015
- [j1]Piers Douglas Lionel Howe, Adam Ferguson:
The Identity-Location Binding Problem. Cogn. Sci. 39(7): 1622-1645 (2015)
Coauthor Index
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