Overview

My research focus is on human-AI collaboration and in how the next generation of artificial intelligence technologies can be engineered so as to work with people. I want to understand how building machines to support collaborative human decision making can contribute to progress on real-world human decision making problems.

My work has previously contributed to the idea that human behaviour can  be predicted with computer models that assume people will behave optimally given limits on the mind's processing capacitites. In contrast, the commonly held view that people are 'irrational' has now been shown to be false in many decision settings. Instead people appear to do the best that they can with the knowledge and processing capacities that are available. It follows that adopting a view of humans as bounded optimal provides a firm scientific basis for artificial intelligence systems that  infer human preferences from behaviour.

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Publications

_{Copyright Notice: Any articles made available for download are for personal use only. Any other use requires prior permission of the author and the copyright holder.}

| 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2012 |

2024

• Aushev A, Tran T, Pesonen H, Howes A, Kaski S. (2024) Likelihood-free inference in state-space models with unknown dynamics, Statistics and Computing, volume 34, no. 1, DOI:10.1007/s11222-023-10339-8.

2023

• Howes A, Jokinen JPP, Oulasvirta A. (2023) Towards machines that understand people, AI MAGAZINE, volume 44, no. 3, pages 312-327, DOI:10.1002/aaai.12116. [PDF]
• Keurulainen A, Westerlund I, Keurulainen O, Howes A. (2023) Amortised Design Optimization for Item Response Theory. [PDF]
• Keurulainen A, Westerlund I, Keurulainen O, Howes A. (2023) Amortised Experimental Design and Parameter Estimation for User Models of Pointing, Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23), April 23--28, 2023, Hamburg, Germany. [PDF]
• Keurulainen A, Westerlund I, Keurulainen O, Howes A. (2023) Amortised Design Optimization for Item Response Theory, Communications in Computer and Information Science, volume 1831 CCIS, pages 359-364, DOI:10.1007/978-3-031-36336-8_56.
• Jokinen JPP, Oulasvirta A, Howes A. (2023) Cognitive Modelling: From GOMS to Deep Reinforcement Learning, Conference on Human Factors in Computing Systems - Proceedings, DOI:10.1145/3544549.3574173.

2022

• Murray-Smith R, Oulasvirta A, Howes A, Müller J, Ikkala A, Bachinski M, Fleig A, Fischer F, Klar M. (2022) What simulation can do for HCI research, Interactions, volume 29, no. 6, pages 48-53, DOI:10.1145/3564038.
• Jokinen JPP, Oulasvirta A, Howes A. (2022) Cognitive Modelling: From GOMS to Deep Reinforcement Learning, Conference on Human Factors in Computing Systems - Proceedings, DOI:10.1145/3491101.3503771.
• Oulasvirta A, Jokinen JPP, Howes A. (2022) Computational Rationality as a Theory of Interaction, Conference on Human Factors in Computing Systems - Proceedings, DOI:10.1145/3491102.3517739.
• Ikkala A, Fischer F, Klar M, Bachinski M, Fleig A, Howes A, Hämäläinen P, Müller J, Murray-Smith R, Oulasvirta A. (2022) Breathing Life Into Biomechanical User Models, UIST 2022 - Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology, DOI:10.1145/3526113.3545689.

2021

• Glowacka D, Howes A, Jokinen JP, Oulasvirta A, Åzimsek Ö. (2021) RL4HCI: Reinforcement Learning for Humans, Computers, and Interaction, Conference on Human Factors in Computing Systems - Proceedings, DOI:10.1145/3411763.3441323.
• Chen X, Acharya A, Oulasvirta A, Howes A. (2021) An adaptive model of gaze-based selection, Conference on Human Factors in Computing Systems - Proceedings, DOI:10.1145/3411764.3445177.
• Chen H, Chang HJ, Howes A. (2021) Apparently Irrational Choice as Optimal Sequential Decision Making, 35th AAAI Conference on Artificial Intelligence, AAAI 2021, volume 1, pages 792-800.
• Aushev A, Tran T, Pesonen H, Howes A, Kaski S. (2021) Likelihood-Free Inference in State-Space Models with Unknown Dynamics. [PDF]

2020

• Lewis RL, Howes A. (2020) Cognitively bounded rational analyses and the crucial role of theories of subjective utility, Behavioral and Brain Sciences, volume 43, DOI:10.1017/S0140525X19001729.
• Chen H, Chang HJ, Howes A. (2020) Implications of Human Irrationality for Reinforcement Learning. [PDF]

2019

• Kangasrääsiö A, Jokinen JPP, Oulasvirta A, Howes A, Kaski S. (2019) Parameter Inference for Computational Cognitive Models with Approximate Bayesian Computation, Cognitive Science, volume 43, no. 6, DOI:10.1111/cogs.12738.

2018

• Howes A, Chen X, Acharya A, Lewis RL. (2018) Interaction as an emergent property of a partially observable Markov decision process, Computational Interaction, 287-310, DOI:10.1093/oso/9780198799603.003.0011.

2012

• Howes A, Lewis RL, Vera A. (2012) Bounding Rational Analysis Constraints on Asymptotic Performance, Integrated Models of Cognitive Systems, DOI:10.1093/acprof:oso/9780195189193.003.0028.

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