Welcome to the website of the Tasmanian Cognition Laboratory.
The primary aim of the Tasmanian Cognition Laboratory (TASCL) is the experimental investigation of cognitive processes that underpin decision making, language, attention, memory, and learning. The TASCL research group has two broad foci: (1) mathematical and computational cognitive models (2) the application of cognitive psychology to applied problems.
The cognitive modelling focus on broadly applicable evidence accumulation and race models that provide a comprehensive account of behaviour, both in terms of responses that are made and the time it takes to make them. We both contribute to the fundamental development of these models and push the boundaries of their application across psychology and the neurosciences. Applied areas of interest are diverse, and include improving the reliability of eyewitness identification evidence; helping people to better evaluate their own memory, learning, and decision making (i.e., metacognition); investigating the cognitive effects of videogame play; understanding how to enhance public support for climate science and associated policy; and complex and high-pressure decision making in defence and Antarctic contexts. Our research is supported by a number of testing suites with high-end data collection PCs, accompanied by office space for graduate students, in both the Psychology Building and Psychology Research Centre, as well as access to high-performance computers for computational modelling.
Publications with associated pdf files can be found in the publications area. In some cases there are also links to associated data and analysis software (see also the Data and Software area of the site). We gratefully acknowledge support from funding bodies, particularly the Australian Research Council (see the Funding area of the site).
The primary aim of the Tasmanian Cognition Laboratory (TASCL) is the experimental investigation of cognitive processes that underpin decision making, language, attention, memory, and learning. The TASCL research group has two broad foci: (1) mathematical and computational cognitive models (2) the application of cognitive psychology to applied problems.
The cognitive modelling focus on broadly applicable evidence accumulation and race models that provide a comprehensive account of behaviour, both in terms of responses that are made and the time it takes to make them. We both contribute to the fundamental development of these models and push the boundaries of their application across psychology and the neurosciences. Applied areas of interest are diverse, and include improving the reliability of eyewitness identification evidence; helping people to better evaluate their own memory, learning, and decision making (i.e., metacognition); investigating the cognitive effects of videogame play; understanding how to enhance public support for climate science and associated policy; and complex and high-pressure decision making in defence and Antarctic contexts. Our research is supported by a number of testing suites with high-end data collection PCs, accompanied by office space for graduate students, in both the Psychology Building and Psychology Research Centre, as well as access to high-performance computers for computational modelling.
Publications with associated pdf files can be found in the publications area. In some cases there are also links to associated data and analysis software (see also the Data and Software area of the site). We gratefully acknowledge support from funding bodies, particularly the Australian Research Council (see the Funding area of the site).
Recent Publications:
In Press:
- Strickland, L., Elliott, D., Wilson, M.D., Loft, S., Neal, A., & Heathcote, A. (accepted 20/2/2019). Prospective memory in the red zone: Cognitive control and capacity sharing in a complex, multi-stimulus task. Journal of Experimental Psychology: Applied. (Supplementary Material)
- Boag, R., Strickland, L., Heathcote, A., Neal, A., & Loft., S. (accepted 17/2/2019). Cognitive Control and Capacity for Prospective Memory in Simulated Air Traffic Control. Journal of Experimental Psychology: General.
- Garton, R., Reynolds, A., Hinder, M. R., & Heathcote, A. (accepted 8/2/2019). Equally flexible and optimal response bias in older compared to younger adults. Psychology and Aging. (Supplementary Material) http://doi.org/10.1037/pag0000339
- Castro, S., Strayer, D., Matzke, D. & Heathcote, A. (accepted 24/1/2019). Cognitive workload measurement and modelling under divided attention. Journal of Experimental Psychology: Human Perception & Performance.
- Weigard, A., Matzke, D., Heathcote, A., Huang-Pollock, C., (accepted 29/11/2018). Cognitive modeling suggests that attentional failures drive longer stop-signal reaction time estimates in ADHD. Clinical Psychological Science, osf.io/7gmdv/
- Lin, Y-S., Heathcote, A., & Holmes, W.R. (accepted 31/10/2018). Parallel probability density approximation. Behavior Research Methods.
- Weigard, A., Huang-Pollock, C., Heathcote, A., Hawk Jr., L & Schlienz, N.J. (accepted 20/8/2018). A cognitive model-based approach to testing mechanistic explanations for neuropsychological decrements during tobacco abstinence. Psychopharmacology. (Supplementary Material)
- Heathcote, A., Lin, Y. S., Reynolds, A., Strickland, L., Gretton, M. & Matzke, D. (accepted 30/May/2018). Dynamic models of choice. Behavior Research Methods. DOI:10.3758/s13428-018-1067-y
- Palada, H., Neal, A., Tay, R., & Heathcote, A. (accepted 19/4/2018). Understanding the causes of adapting, and failing to adapt, to time pressure in a complex multi-stimulus environment. Journal of Experimental Psychology: Applied
- Strickland, L., Loft, S., Remington, R. W., & Heathcote, A. (accepted 21/03/2018). Racing to Remember: A Theory of Decision Control in Event-Based Prospective Memory. Psychological Review. (Supplementary Material)
- Dutilh, G., Annis, J., Brown, S.D., Cassey, P., Evans, N.J., Grasman, R.P.P.P., Hawkins, G.E., Heathcote, A., Holmes, W.R., Krypotos, A., Kupitz, C.N., Leite, F.P., Lerche, V., Lin, Y., Logan, G.D., Palmeri, T.J., Starns, J.J., Trueblood, J.S., van Maanen, L., van Ravenzwaaij, D., Vandekerckhove, J., Visser, I., Voss, A., White, C.N., Wiecki, T.V., Rieskamp, J., Donkin, C. (accepted 28/11/2017). The quality of response time data inference: A blinded, collaborative assessment of the validity of cognitive models. Psychonomic Bulletin & Review.
- Lin, Y.-S., & Heathcote, A. (in preparation). ggdmc: An R package for hierarchical Bayesian evidence accumulation models, using differential evolution Markov Chain Monte Carlo Sampler. Retrieved from https://github.com/TasCL/ggdmc
In Print:
- Matzke, D., Curley, S., Gong, C.Q., & Heathcote, A. (2019). Inhibiting responses to difficult choices. Journal of Experimental Psychology: General, 148, 124-142.
- Skippen, P., Matzke, D., Heathcote, A., Fulham, W., Michie, P., & Karayanidis, F. (2019). Reliability of triggering inhibitory process is a better predictor of impulsivity than SSRT. Acta Psychologica, 192, 104-117, https://psyarxiv.com/vg5rd/
- Heathcote, A., Lin, Y-S, Reynolds, A., Strickland, L., Gretton, M. & Matzke, D. (2018, online). Dynamic models of choice. Behavior Research Methods. DOI:10.3758/s13428-018-1067-y
- Heathcote, A., Holloway, E., & Sauer, J.D. (2018, online). Confidence and varieties of bias. Journal of Mathematical Psychology.
- Boehm, U., Annis, J., Frank, M. J., Hawkins, G.E., Heathcote, A., Kellen, D., Krypotos, A-M., Lerche, V., Logan, G.D., Palmeri, T.J., van Ravenzwaaiji, D., Servant, M., Singmann, H., Starns, J.J., Voss, A., Wiecki, T.J., Matzke, D., & Wagenmakers, E-J. (2018). Estimating Across-Trial Variability Parameters of the Diffusion Decision Model: Expert Advice and Recommendations. Journal of Mathematical Psychology, 87, 46–75. http://doi.org/10.31234/osf.io/km28u https://osf.io/fjy8z/
- Strickland, L., Loft, S., Remington, R.W., & Heathcote, A. (2018). Racing to remember: A theory of decision control in event-based prospective memory. Psychological Review, 125, 851-887. (Supplementary Material)
- Evans, N. J., Brown, S. D., Mewhort, D. J. K., & Heathcote, A. (2018). Refining the Law of Practice. Psychological Review, 125, 592-605.
Osth, A., Fox, J., McKague, M., Heathcote, A., & Dennis, S. (2018). The list strength effect in source memory: Data and a global matching model. Journal of Memory and Language, 103, 91-113.
- Weigard, A., Huang-Pollock, C., Brown, S., & Heathcote, A. (2018). Testing formal predictions of neuroscientific theories of ADHD with a cognitive model–based approach. Journal of Abnormal Psychology, 127(5), 529-539.
- Quinn, R.K., James, M.H., Hawkins, G.E., Brown, A.L., Heathcote, A., Smith, D.W., Cairns, M.J., Dayas, C.V. (2018). Temporally specific miRNA expression patterns in the dorsal and ventral striatum of addiction-prone rats. Addiction Biology, 23, 631-642.
- Dutilh, G., Annis, J., Brown, S.D., Cassey, P., Evans, N.J., Grasman, R.P.P.P., Hawkins, G.E., Heathcote, A., Holmes, W.R., Krypotos, A., Kupitz, C.N., Leite, F.P., Lerche, V., Lin, Y., Logan, G.D., Palmeri, T.J., Starns, J.J., Trueblood, J.S., van Maanen, L., van Ravenzwaaij, D., Vandekerckhove, J., Visser, I., Voss, A., White, C.N., Wiecki, T.V., Rieskamp, J., Donkin, C. (2018). The quality of response time data inference: A blinded, collaborative assessment of the validity of cognitive models. Psychonomic Bulletin & Review.
- Drummond, A., & Sauer, J.D. (2018, online). Video game loot boxes are psychologically akin to gambling. Nature Human Behaviour.
- Drummond, A., Hall, L.C., Sauer, J.D., & Palmer, M.A. (2018, online). Is public awareness of climate change associated with governmental mitigation targets? Climactic Change.
- Tupper, N., Sauer, J.D., Sauerland, M., Fu, I., & Hope, L. (2018, online). Face value: Testing the utility of contextual face cues for face recognition. Memory.
- Rechdan, J., Hope, L., Sauer, J.D., Sauerland, M., Ost, J., & Merckelbach, H. (2018, online). The effects of co-witness discussion and misinformation on confidence and precision in memory reports. Memory.
- Graham, G., Sauer, J.D., Akehurst, L., & Page, J. (2018). CCTV observation: The effects of event type and instructions on fixation behaviour in an applied change blindness task. Applied Cognitive Psychology, 32, 4-13.
- Palmer, M.A., Sauer, J.D., Ling, A., & Riza, J. (2017). Caffeine cravings impair memory and metacognition. Memory, 25, 1225-1234.
- Osth, A., Jansson, A., Dennis, S., & Heathcote. A. (2018). Modeling the dynamics of recognition memory testing with a combined model of retrieval and decision making. Cognitive Psychology, 104, 106-142.
- Zuj D. V., Felmingham K. L., Palmer M. A., Lawrence-Wood E., Van Hooff M., et al. (2017). Neural activity and emotional processing following military deployment: Effects of mild traumatic brain injury and posttraumatic stress disorder. Brain and Cognition, 118, 19-26.
- Zuj D. V., Palmer M. A., Gray K., Hsu C. M. K., Nicholson E. L., et al. (2017). Negative appraisals and fear extinction are independently related to PTSD symptoms. Journal of Affective Disorders, 217, 246-251.
- Zuj, D. V., Palmer, M. A., Mahli, G. S., Bryant, R. A., & Felmingham, K. L. (2017). Endogenous cortisol reactivity moderates the relationship between fear inhibition to safety signals and posttraumatic stress disorder symptoms. Psychoneuroendocrinology, 78, 14-21.
- Rainsford, M., Palmer, M. A., & Paine, G. (2017). The MUSOS (MUsic SOftware System) Toolkit: A computer-based, open source application for testing memory for melodies. Behavior Research Methods.
- Rechdan, J., Sauer, J.D., Hope, L., Sauerland, M., Ost, J., & Merckelbach, H. (2017). Computer mediated social comparative feedback does not affect metacognitive regulation of memory reports. Frontiers in Psychology, 8, 1433.
- Stephens, R., Semmler, C., & Sauer, J.D. (2017). The effect of the proportion of mismatching trials and task orientation on the confidence-accuracy relationship in unfamiliar face matching. Journal of Experimental Psychology: Applied, 23(3), 336-353.
- Houpt, J., Heathcote, A., & Eidels, A. (2017). Bayesian Analyses of Cognitive Architecture. Psychological Methods, 22, 288-303.
- Sense, F., Morey, C., Prince, M., Heathcote, A., & Morey, R. (2017). Opportunity for verbalization does not improve visual change detection performance: A state-trace analysis. Behavior Research Methods, 49, 853-862.
- Grootswagers, T., Ritchie, J. B., Wardle, S. G., Heathcote, A., & Carlson, T. A. (2017). Asymmetric compression of representational space for object animacy categorization under degraded viewing conditions. Journal of Cognitive Neuroscience, 29(12), 1995-2010.
- Strickland, L., Heathcote, A., Remington, R. W., & Loft, S. (2017). Accumulating evidence about what prospective memory costs actually reveal. Journal of Experimental Psychology: Learning, Memory & Cognition, 43(10), 1616-1629. (Supplementary Material)
- Tillman, G., Strayer, D., Eidels, A., Heathcote, A. (2017). Modeling cognitive load effects of conversation between a passenger and driver. Attention, Perception & Psychophysics, 79, 1795-1803.
- Osth, A., Bora, B., Dennis, S., & Heathcote, A. (2017). Diffusion vs. linear ballistic accumulation: Different models, different conclusions about the slope of the zROC in recognition memory. Journal of Memory and Language, 96, 36-61.
- Tillman, G., Osth, A., Van Ravenzwaaij, D., and Heathcote, A. (2017). A diffusion decision model analysis of evidence variability in the lexical decision task. Psychonomic Bulletin & Review, 24(6), 1949-1956.
- Provost, A., Jamadar, S., Heathcote, A., Brown, S.D., Karayanidis, F. (2017). Intertrial RT variability affects level of target-related interference in cued task switching. Psychophysiology, 00:1–15.
- Sauer, J.D., Palmer, M.A., & Brewer, N (2017). Mock-juror evaluations of traditional and ratings-based eyewitness identification evidence. Law & Human Behavior, 41, 375-384.
- Bruer, K., Fitzgerald, R.J., Price, H., & Sauer, J.D. (2017). How sure are you that this is the man? Using confidence judgments to identify a target with child eyewitnesses. Law & Human Behavior, 41(6), 541-555.
- Evans, N., Howard, Z.L., Heathcote, A., & Brown, S.D. (2017). Model Flexibility Analysis does not measure the persuasiveness of a fit. Psychological Review, 124, 339-345.
- Bushmakin , M.A., Eidels, A. & Heathcote, A. (2017). Breaking the rules in perceptual information integration. Cognitive Psychology, 95, 1-16.
- Matzke, D., Love, J. & Heathcote, A. (2017). A Bayesian approach for estimating the probability of trigger failures in the stop-signal paradigm. Behavior Research Methods, 49, 267-281.
- Matzke, D., Hughes, M., Badcock, J.C., Michie, M. & Heathcote, A. (2017). Failures of cognitive control or attention? The case of stop-signal deficits in Schizophrenia. Attention, Perception & Psychophysics, 79, 1078-1086.
- Hawkins, G.E., Mittner, M., Forstmann, B.U., & Heathcote, A. (2017). On the efficiency of neurally-informed cognitive models to identify latent cognitive states. Journal of Mathematical Psychology, 76, 142-155.
- Palmer, M. A., Sauer, J. D., & Holt, G. A. (2017). Undermining position effects in choices from arrays, with implications for police lineups. Journal of Experimental Psychology: Applied, 23, 71-84.
Technical Reports:
- French, B., Duenser, A., Heathcote, A. (2018). Trust in Automation – A Literature Review. CSIRO Report EP184082. CSIRO, Australia.
For any questions related to this site please email:
contact@tascl.org
In Press:
- Strickland, L., Elliott, D., Wilson, M.D., Loft, S., Neal, A., & Heathcote, A. (accepted 20/2/2019). Prospective memory in the red zone: Cognitive control and capacity sharing in a complex, multi-stimulus task. Journal of Experimental Psychology: Applied. (Supplementary Material)
- Boag, R., Strickland, L., Heathcote, A., Neal, A., & Loft., S. (accepted 17/2/2019). Cognitive Control and Capacity for Prospective Memory in Simulated Air Traffic Control. Journal of Experimental Psychology: General.
- Garton, R., Reynolds, A., Hinder, M. R., & Heathcote, A. (accepted 8/2/2019). Equally flexible and optimal response bias in older compared to younger adults. Psychology and Aging. (Supplementary Material) http://doi.org/10.1037/pag0000339
- Castro, S., Strayer, D., Matzke, D. & Heathcote, A. (accepted 24/1/2019). Cognitive workload measurement and modelling under divided attention. Journal of Experimental Psychology: Human Perception & Performance.
- Weigard, A., Matzke, D., Heathcote, A., Huang-Pollock, C., (accepted 29/11/2018). Cognitive modeling suggests that attentional failures drive longer stop-signal reaction time estimates in ADHD. Clinical Psychological Science, osf.io/7gmdv/
- Lin, Y-S., Heathcote, A., & Holmes, W.R. (accepted 31/10/2018). Parallel probability density approximation. Behavior Research Methods.
- Weigard, A., Huang-Pollock, C., Heathcote, A., Hawk Jr., L & Schlienz, N.J. (accepted 20/8/2018). A cognitive model-based approach to testing mechanistic explanations for neuropsychological decrements during tobacco abstinence. Psychopharmacology. (Supplementary Material)
- Heathcote, A., Lin, Y. S., Reynolds, A., Strickland, L., Gretton, M. & Matzke, D. (accepted 30/May/2018). Dynamic models of choice. Behavior Research Methods. DOI:10.3758/s13428-018-1067-y
- Palada, H., Neal, A., Tay, R., & Heathcote, A. (accepted 19/4/2018). Understanding the causes of adapting, and failing to adapt, to time pressure in a complex multi-stimulus environment. Journal of Experimental Psychology: Applied
- Strickland, L., Loft, S., Remington, R. W., & Heathcote, A. (accepted 21/03/2018). Racing to Remember: A Theory of Decision Control in Event-Based Prospective Memory. Psychological Review. (Supplementary Material)
- Dutilh, G., Annis, J., Brown, S.D., Cassey, P., Evans, N.J., Grasman, R.P.P.P., Hawkins, G.E., Heathcote, A., Holmes, W.R., Krypotos, A., Kupitz, C.N., Leite, F.P., Lerche, V., Lin, Y., Logan, G.D., Palmeri, T.J., Starns, J.J., Trueblood, J.S., van Maanen, L., van Ravenzwaaij, D., Vandekerckhove, J., Visser, I., Voss, A., White, C.N., Wiecki, T.V., Rieskamp, J., Donkin, C. (accepted 28/11/2017). The quality of response time data inference: A blinded, collaborative assessment of the validity of cognitive models. Psychonomic Bulletin & Review.
- Lin, Y.-S., & Heathcote, A. (in preparation). ggdmc: An R package for hierarchical Bayesian evidence accumulation models, using differential evolution Markov Chain Monte Carlo Sampler. Retrieved from https://github.com/TasCL/ggdmc
In Print:
- Matzke, D., Curley, S., Gong, C.Q., & Heathcote, A. (2019). Inhibiting responses to difficult choices. Journal of Experimental Psychology: General, 148, 124-142.
- Skippen, P., Matzke, D., Heathcote, A., Fulham, W., Michie, P., & Karayanidis, F. (2019). Reliability of triggering inhibitory process is a better predictor of impulsivity than SSRT. Acta Psychologica, 192, 104-117, https://psyarxiv.com/vg5rd/
- Heathcote, A., Lin, Y-S, Reynolds, A., Strickland, L., Gretton, M. & Matzke, D. (2018, online). Dynamic models of choice. Behavior Research Methods. DOI:10.3758/s13428-018-1067-y
- Heathcote, A., Holloway, E., & Sauer, J.D. (2018, online). Confidence and varieties of bias. Journal of Mathematical Psychology.
- Boehm, U., Annis, J., Frank, M. J., Hawkins, G.E., Heathcote, A., Kellen, D., Krypotos, A-M., Lerche, V., Logan, G.D., Palmeri, T.J., van Ravenzwaaiji, D., Servant, M., Singmann, H., Starns, J.J., Voss, A., Wiecki, T.J., Matzke, D., & Wagenmakers, E-J. (2018). Estimating Across-Trial Variability Parameters of the Diffusion Decision Model: Expert Advice and Recommendations. Journal of Mathematical Psychology, 87, 46–75. http://doi.org/10.31234/osf.io/km28u https://osf.io/fjy8z/
- Strickland, L., Loft, S., Remington, R.W., & Heathcote, A. (2018). Racing to remember: A theory of decision control in event-based prospective memory. Psychological Review, 125, 851-887. (Supplementary Material)
- Evans, N. J., Brown, S. D., Mewhort, D. J. K., & Heathcote, A. (2018). Refining the Law of Practice. Psychological Review, 125, 592-605.
Osth, A., Fox, J., McKague, M., Heathcote, A., & Dennis, S. (2018). The list strength effect in source memory: Data and a global matching model. Journal of Memory and Language, 103, 91-113.
- Weigard, A., Huang-Pollock, C., Brown, S., & Heathcote, A. (2018). Testing formal predictions of neuroscientific theories of ADHD with a cognitive model–based approach. Journal of Abnormal Psychology, 127(5), 529-539.
- Quinn, R.K., James, M.H., Hawkins, G.E., Brown, A.L., Heathcote, A., Smith, D.W., Cairns, M.J., Dayas, C.V. (2018). Temporally specific miRNA expression patterns in the dorsal and ventral striatum of addiction-prone rats. Addiction Biology, 23, 631-642.
- Dutilh, G., Annis, J., Brown, S.D., Cassey, P., Evans, N.J., Grasman, R.P.P.P., Hawkins, G.E., Heathcote, A., Holmes, W.R., Krypotos, A., Kupitz, C.N., Leite, F.P., Lerche, V., Lin, Y., Logan, G.D., Palmeri, T.J., Starns, J.J., Trueblood, J.S., van Maanen, L., van Ravenzwaaij, D., Vandekerckhove, J., Visser, I., Voss, A., White, C.N., Wiecki, T.V., Rieskamp, J., Donkin, C. (2018). The quality of response time data inference: A blinded, collaborative assessment of the validity of cognitive models. Psychonomic Bulletin & Review.
- Drummond, A., & Sauer, J.D. (2018, online). Video game loot boxes are psychologically akin to gambling. Nature Human Behaviour.
- Drummond, A., Hall, L.C., Sauer, J.D., & Palmer, M.A. (2018, online). Is public awareness of climate change associated with governmental mitigation targets? Climactic Change.
- Tupper, N., Sauer, J.D., Sauerland, M., Fu, I., & Hope, L. (2018, online). Face value: Testing the utility of contextual face cues for face recognition. Memory.
- Rechdan, J., Hope, L., Sauer, J.D., Sauerland, M., Ost, J., & Merckelbach, H. (2018, online). The effects of co-witness discussion and misinformation on confidence and precision in memory reports. Memory.
- Graham, G., Sauer, J.D., Akehurst, L., & Page, J. (2018). CCTV observation: The effects of event type and instructions on fixation behaviour in an applied change blindness task. Applied Cognitive Psychology, 32, 4-13.
- Palmer, M.A., Sauer, J.D., Ling, A., & Riza, J. (2017). Caffeine cravings impair memory and metacognition. Memory, 25, 1225-1234.
- Osth, A., Jansson, A., Dennis, S., & Heathcote. A. (2018). Modeling the dynamics of recognition memory testing with a combined model of retrieval and decision making. Cognitive Psychology, 104, 106-142.
- Zuj D. V., Felmingham K. L., Palmer M. A., Lawrence-Wood E., Van Hooff M., et al. (2017). Neural activity and emotional processing following military deployment: Effects of mild traumatic brain injury and posttraumatic stress disorder. Brain and Cognition, 118, 19-26.
- Zuj D. V., Palmer M. A., Gray K., Hsu C. M. K., Nicholson E. L., et al. (2017). Negative appraisals and fear extinction are independently related to PTSD symptoms. Journal of Affective Disorders, 217, 246-251.
- Zuj, D. V., Palmer, M. A., Mahli, G. S., Bryant, R. A., & Felmingham, K. L. (2017). Endogenous cortisol reactivity moderates the relationship between fear inhibition to safety signals and posttraumatic stress disorder symptoms. Psychoneuroendocrinology, 78, 14-21.
- Rainsford, M., Palmer, M. A., & Paine, G. (2017). The MUSOS (MUsic SOftware System) Toolkit: A computer-based, open source application for testing memory for melodies. Behavior Research Methods.
- Rechdan, J., Sauer, J.D., Hope, L., Sauerland, M., Ost, J., & Merckelbach, H. (2017). Computer mediated social comparative feedback does not affect metacognitive regulation of memory reports. Frontiers in Psychology, 8, 1433.
- Stephens, R., Semmler, C., & Sauer, J.D. (2017). The effect of the proportion of mismatching trials and task orientation on the confidence-accuracy relationship in unfamiliar face matching. Journal of Experimental Psychology: Applied, 23(3), 336-353.
- Houpt, J., Heathcote, A., & Eidels, A. (2017). Bayesian Analyses of Cognitive Architecture. Psychological Methods, 22, 288-303.
- Sense, F., Morey, C., Prince, M., Heathcote, A., & Morey, R. (2017). Opportunity for verbalization does not improve visual change detection performance: A state-trace analysis. Behavior Research Methods, 49, 853-862.
- Grootswagers, T., Ritchie, J. B., Wardle, S. G., Heathcote, A., & Carlson, T. A. (2017). Asymmetric compression of representational space for object animacy categorization under degraded viewing conditions. Journal of Cognitive Neuroscience, 29(12), 1995-2010.
- Strickland, L., Heathcote, A., Remington, R. W., & Loft, S. (2017). Accumulating evidence about what prospective memory costs actually reveal. Journal of Experimental Psychology: Learning, Memory & Cognition, 43(10), 1616-1629. (Supplementary Material)
- Tillman, G., Strayer, D., Eidels, A., Heathcote, A. (2017). Modeling cognitive load effects of conversation between a passenger and driver. Attention, Perception & Psychophysics, 79, 1795-1803.
- Osth, A., Bora, B., Dennis, S., & Heathcote, A. (2017). Diffusion vs. linear ballistic accumulation: Different models, different conclusions about the slope of the zROC in recognition memory. Journal of Memory and Language, 96, 36-61.
- Tillman, G., Osth, A., Van Ravenzwaaij, D., and Heathcote, A. (2017). A diffusion decision model analysis of evidence variability in the lexical decision task. Psychonomic Bulletin & Review, 24(6), 1949-1956.
- Provost, A., Jamadar, S., Heathcote, A., Brown, S.D., Karayanidis, F. (2017). Intertrial RT variability affects level of target-related interference in cued task switching. Psychophysiology, 00:1–15.
- Sauer, J.D., Palmer, M.A., & Brewer, N (2017). Mock-juror evaluations of traditional and ratings-based eyewitness identification evidence. Law & Human Behavior, 41, 375-384.
- Bruer, K., Fitzgerald, R.J., Price, H., & Sauer, J.D. (2017). How sure are you that this is the man? Using confidence judgments to identify a target with child eyewitnesses. Law & Human Behavior, 41(6), 541-555.
- Evans, N., Howard, Z.L., Heathcote, A., & Brown, S.D. (2017). Model Flexibility Analysis does not measure the persuasiveness of a fit. Psychological Review, 124, 339-345.
- Bushmakin , M.A., Eidels, A. & Heathcote, A. (2017). Breaking the rules in perceptual information integration. Cognitive Psychology, 95, 1-16.
- Matzke, D., Love, J. & Heathcote, A. (2017). A Bayesian approach for estimating the probability of trigger failures in the stop-signal paradigm. Behavior Research Methods, 49, 267-281.
- Matzke, D., Hughes, M., Badcock, J.C., Michie, M. & Heathcote, A. (2017). Failures of cognitive control or attention? The case of stop-signal deficits in Schizophrenia. Attention, Perception & Psychophysics, 79, 1078-1086.
- Hawkins, G.E., Mittner, M., Forstmann, B.U., & Heathcote, A. (2017). On the efficiency of neurally-informed cognitive models to identify latent cognitive states. Journal of Mathematical Psychology, 76, 142-155.
- Palmer, M. A., Sauer, J. D., & Holt, G. A. (2017). Undermining position effects in choices from arrays, with implications for police lineups. Journal of Experimental Psychology: Applied, 23, 71-84.
Technical Reports:
- French, B., Duenser, A., Heathcote, A. (2018). Trust in Automation – A Literature Review. CSIRO Report EP184082. CSIRO, Australia.
For any questions related to this site please email:
contact@tascl.org