Dr Alasdair Clarke
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Email
a.clarke@essex.ac.uk -
Telephone
+44 (0) 1206 873941
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Location
2.719, Colchester Campus
Profile
Biography
Alasdair Clarke has a background in mathematics (M.Math, University of Warwick) and a PhD in Computer Science (Heriot-Watt University). After his Phd, he worked as a post-doc at the School of Informatics, University of Edinburgh, and then at the School of Psychology, University of Aberdeen. His current research interests cover visual perception, search, and decision making.
Qualifications
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PhD Heriot-Watt University,
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M.Sc Edinburgh Napier University,
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MMath University of Warwick,
Appointments
University of Essex
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Lecturer, Psychology, University of Essex (1/12/2016 - present)
Teaching and supervision
Current teaching responsibilities
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The science of uncertainty (PS509)
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Decision making science in theory and practice (PS512)
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Research Management (PS912)
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Special Topics in Individual Differences and Developmental Psychology (PS938)
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Advanced Statistics for Research (PS947)
Publications
Journal articles (33)
Lonnqvist, B., Elsner, M., Hunt, AR. and Clarke, ADF., Modeling individual variation in visual search with reinforcement learning
James, W., Hunt, AR. and Clarke, ADF., Six of one, half dozen of the other: Suboptimal prioritizing for equal and unequal alternatives
Nowakowska, A., Hunt, AR. and Clarke, ADF., Visual search strategies in lab and life
Nowakowska, A., Clarke, ADF., Christie, J., Reuther, J. and Hunt, AR., Less is more: Simple stimuli provoke more variable search strategies.
Kohler, PJ. and Clarke, ADF., The human visual system preserves the hierarchy of 2-dimensional pattern regularity
Nowakowska, A., Clarke, A., Hunt, A. and von Seth, J., Search strategies improve with practice, but not with time pressure or financial incentives. Journal of Experimental Psychology: Human Perception and Performance
Lonnqvist, B., Clarke, ADF. and Chakravarthi, R., (2020). Crowding in humans is unlike that in convolutional neural networks. Neural Networks. 126, 262-274
Clarke, ADF., Irons, J., James, W., Leber, AB. and Hunt, AR., (2020). Stable individual differences in strategies within, but not between, visual search tasks. Quarterly Journal of Experimental Psychology, 174702182092919-174702182092919
Nowakowska, A., Clarke, ADF., Sahraie, A. and Hunt, AR., (2019). Practice-related changes in eye movement strategy in healthy adults with simulated hemianopia. Neuropsychologia. 128, 232-240
James, WRG., Reuther, J., Angus, E., Clarke, ADF. and Hunt, AR., (2019). Inefficient Eye Movements: Gamification Improves Task Execution, But Not Fixation Strategy. Vision. 3 (3), 48-48
Clarke, ADF., Nowakowska, A. and Hunt, AR., (2019). Seeing Beyond Salience and Guidance: The Role of Bias and Decision in Visual Search. Vision. 3 (3), 46-46
Elsner, M., Clarke, ADF. and Rohde, H., (2018). Visual Complexity and Its Effects on Referring Expression Generation. Cognitive Science. 42 (S4), 940-973
Joseph MacInnes, W., Hunt, AR., Clarke, ADF. and Dodd, MD., (2018). A Generative Model of Cognitive State from Task and Eye Movements. Cognitive Computation. 10 (5), 703-717
Mahon, A., Clarke, ADF. and Hunt, AR., (2018). The role of attention in eye-movement awareness. Attention, Perception, and Psychophysics. 80 (7), 1691-1704
Nowakowska, A., Clarke, ADF. and Hunt, AR., (2017). Human visual search behaviour is far from ideal. Proceedings of the Royal Society B: Biological Sciences. 284 (1849), 20162767-20162767
Clarke, ADF., Mahon, A., Irvine, A. and Hunt, AR., (2017). People Are Unable to Recognize or Report on Their Own Eye Movements. Quarterly Journal of Experimental Psychology. 70 (11), 2251-2270
Clarke, ADF., Stainer, MJ., Tatler, BW. and Hunt, AR., (2017). The saccadic flow baseline: Accounting for image-independent biases in fixation behaviour. Journal of Vision. 17 (11), 12-12
Nowakowska, A., Clarke, ADF., Sahraie, A. and Hunt, AR., (2016). Inefficient search strategies in simulated hemianopia.. Journal of Experimental Psychology: Human Perception and Performance. 42 (11), 1858-1872
Clarke, ADF. and Hunt, AR., (2016). Failure of Intuition When Choosing Whether to Invest in a Single Goal or Split Resources Between Two Goals. Psychological Science. 27 (1), 64-74
Clarke, ADF., Barr, C. and Hunt, AR., (2016). The effect of visualization on visual search performance. Attention, Perception, and Psychophysics. 78 (8), 2357-2362
Orquin, JL., Ashby, NJS. and Clarke, ADF., (2016). Areas of Interest as a Signal Detection Problem in Behavioral Eye-Tracking Research. Journal of Behavioral Decision Making. 29 (2-3), 103-115
Clarke, ADF., Green, P., Chantler, MJ. and Hunt, AR., (2016). Human search for a target on a textured background is consistent with a stochastic model. Journal of Vision. 16 (4), 4-4
Kohler, PJ., Clarke, ADF., Yakovleva, A., Liu, Y. and Norcia, AM., (2016). Representation of Maximally Regular Textures in Human Visual Cortex. Journal of Neuroscience. 36 (3), 714-729
O'Hare, L., Clarke, ADF. and Pollux, PMJ., (2015). VEP Responses to Op-Art Stimuli. PLoS ONE. 10 (9), e0139400-e0139400
Clarke, ADF., Elsner, M. and Rohde, H., (2015). Giving Good Directions: Order of Mention Reflects Visual Salience. Frontiers in Psychology. 6 (DEC), 1793-
Clarke, ADF. and Tatler, BW., (2014). Deriving an appropriate baseline for describing fixation behaviour. Vision Research. 102, 41-51
Clarke, ADF., Coco, MI. and Keller, F., (2013). The impact of attentional, linguistic, and visual features during object naming. Frontiers in Psychology. 4 (DEC)
O'Hare, L., Clarke, ADF. and Hibbard, PB., (2013). Visual Search and Visual Discomfort. Perception. 42 (1), 1-15
Clarke, ADF., Green, PR. and Chantler, MJ., (2012). The effects of display time and eccentricity on the detection of amplitude and phase degradations in textured stimuli. Journal of Vision. 12 (3), 7-7
Clarke, ADF., Green, PR., Halley, F. and Chantler, MJ., (2011). Similar Symmetries: The Role of Wallpaper Groups in Perceptual Texture Similarity. Symmetry. 3 (2), 246-264
Emrith, K., Chantler, MJ., Green, PR., Maloney, LT. and Clarke, ADF., (2010). Measuring perceived differences in surface texture due to changes in higher order statistics. Journal of the Optical Society of America A. 27 (5), 1232-1232
Clarke, ADF., Chantler, MJ. and Green, PR., (2009). Modeling visual search on a rough surface. Journal of Vision. 9 (4), 11-11
Clarke, ADF., Green, PR., Chantler, MJ. and Emrith, K., (2008). Visual search for a target against a 1/fβ continuous textured background. Vision Research. 48 (21), 2193-2203
Conferences (4)
Lonnqvist, B., Clarke, ADF. and Chakravarthi, R., (2019). Object recognition in deep convolutional neural networks is fundamentally different to that in humans
Papadopoulos, DP., Clarke, ADF., Keller, F. and Ferrari, V., (2014). Training Object Class Detectors from Eye Tracking Data
Elsner, M., Rohde, H. and Clarke, A., (2014). Information Structure Prediction for Visual-world Referring Expressions
Clarke, A., Halley, F., Newell, A., Griffin, L. and Chantler, M., (2011). Perceptual Similarity: A Texture Challenge
Reports and Papers (6)
Hunt, AR., James, W., Reuther, J., Spilioti, M., Mackay, E. and Clarke, ADF., Variable and sub-optimal responses to a choice problem are a persistent default mode
James, W., Reuther, J., Angus, E., Clarke, ADF. and Hunt, AR., Inefficient eye movements: Gamification improves task execution, but not fixation strategy
Clarke, ADF., Nowakowska, A. and Hunt, AR., Seeing beyond salience and guidance: the role of bias and decision in visual search
Clarke, ADF., Irons, J., James, W., Leber, AB. and Hunt, AR., Stable individual differences in strategies within, but not between, visual search tasks
Holford, DL., Juanchich, M., Foulsham, T., Sirota, M. and Clarke, ADF., Eye Tracking of Quantifier Formats
Nowakowska, A., Clarke, ADF., Hunt, AR. and von Seth, J., Search strategies improve with practice, but not with time pressure or financial incentives
Grants and funding
2020
Developing a collaborative framework for naturalistic visual search
British Academy
1900
MIND E LEARNING PLATFORM
Enabling Innovation: Research to Application