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Gorilla Publications

The following is a non-exhaustive list of publications, preprints and other digital publications that cite Gorilla, www.Gorilla.sc, or Gorilla.sc.

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Our Research

Gorilla in our Midst: An online behavioral experiment builder.
Anwyl-Irvine, A. L., Massonnié, J., Flitton, A., Kirkham, N., & Evershed, J. K. (2019).
Behavior research methods, 1-20.
doi: https://doi.org/10.3758/s13428-019-01237-x

Online Timing Accuracy and Precision: A comparison of platforms, browsers, and participant's devices.
Anwyl-Irvine, A. L., Dalmaijer, E. S., Hodges, N., & Evershed, J. (2020).
PsyArXiv
doi: https://doi.org/10.31234/osf.io/jfeca

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Publications

Altered functional connectivity during speech perception in congenital amusia
Jasmin, K., Dick, F., Stewart, L., Tierney, A. T. (2020).
eLife
doi: https://doi.org/10.7554/eLife.53539
Gorilla Open Materials available here.

Engagement in video and audio narratives: contrasting self-report and physiological measures
Richardson, D. C., Griffin, N. K., Zaki, L., Stephenson, A, Yan, J., Hogan, J., Skipper, J. I., & Devlin, J. T. (2020).
Scientific Reports
doi: https://doi.org/10.1038/s41598-020-68253-2

Sensitivity to meaningful regularities acquired through experience
Ulicheva, A., Marelli, M., & Rastle, K. (2020).
Morphology
doi: https://doi.org/10.1007/s11525-020-09363-5

Individual differences in learning during decision-making may predict specific harms associated with gambling
Kildahl, N., Hansen, S., Brevers, D., & Skewes, J. (2020).
Addictive Behaviours
doi: https://doi.org/10.1016/j.addbeh.2020.106496

Public Expectations for lifiting COVID-19 restrictions
Belton, C., Julienne, H., Timmons, S., Barjakoca, M., Lavin, C., McGowan, F, & Lunn, P. (2020).
ESRI Survey and Statistical Resport Series Number 88
Link: PDF here

Scientific Collaboration with Educators: Practical Insights from an in-Class Noise-Reduction Intervention
Massonnie, J., Frasseto, P., Mareschal, D., & Kirkham, N. Z. (2020).
Mind, Brain, and Education
doi: https://doi.org/10.1111/mbe.12240

Robots in Need: How Patterns of Emotional Behavior Influence Willingness to Help
Daly, J., Leonards, U., Bremmer, P. (2020).
HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
doi: https://doi.org/10.1145/3371382.3378301

Association between a directly translated cognitive measure of negative bias and self-reported psychiatric symptoms
Daniel-Watanabe, L., McLaughlin, M., Gormley, S., & Robinson, O.J. (2020).
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
doi: https://doi.org/10.1016/j.bpsc.2020.02.010

No evidence for a common self-bias across cognitive domains.
Nijhof, A. D., Shapiro, K. L., Catmur, C., & Bird, G. (2020).
Cognition, 197, 104186
doi: https://doi.org/10.1016/j.cognition.2020.104186

Evaluative conditioning of artificial grammars: Evidence that non-conscious structures bias affective evaluations of novel stimuli
Jurchiș, R., Costea, A., Dienes, Z., Miclea, M., & Opre, A. (2020).
Journal of Experimental Psychology: General
Link: https://psyarxiv.com/jkfu5/

An experiment for regulatory policy on broadband speed advertising.
Timmons, S., McElvaney, T. J., & Lunn, P. D. (2019).
Working Paper, ESRI WP641, November 2019
url: http://aei.pitt.edu/102253/

Listeners form average-based representations of individual voice identities.
Lavan, N., Knight, S., & McGettigan, C. (2019).
Nature communications, 10(1), 1-9.
doi: https://doi.org/10.1038/s41467-019-10295-w

Towards a distributed connectionist account of cognates and interlingual homographs: Evidence from semantic relatedness tasks.
Poort, E. D., & Rodd, J. M. (2019).
PeerJ, 7, e6725.
doi: https://doi.org/10.7717/peerj.6725

“Bigger” or “better”: the roles of magnitude and valence in “affective bias”
Jack Love & Oliver J. Robinson (2019).
Cognition and Emotion.
doi: 10.1080/02699931.2019.1662373

Mental rotation of feet in individuals with Body Integrity Identity Disorder, lower-limb amputees, and normally-limbed controls.
Stone, K., Dijkerman, H. C., Bekrater-Bodmann, R., & Keizer, A. (2019).
PLoS ONE 14(8).
doi: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0221105

Understanding How Minds Vary Relates to Skill in Inferring Mental States, Personality, and Intelligence
Conway, J.R., Coll, M-P., Clemente Cuve, H., Koletsi, S., Bronitt, N., Catmur, C., & Bird, G. (September, 2019)
Journal of Experimental Psychology: General
Link: PDF Here

Tailored Perception: Individuals’ Speech and Music Perception Strategies Fit Their Perceptual Abilities
Jasmin, K., Dick, F., Holt, L. L., & Tierney, A. (2019)
Journal of Experimental Psychology: General
Link: http://dx.doi.org/10.1037/xge0000688

Do you hear what I see? An audio-visual paradigm to assess emotional egocentricity bias
Mohr, M., Finotti, G., Ambroziak, K.B. & Tsakiris, M. (2019)
Cognition and Emotion
Link: https://doi.org/10.1080/02699931.2019.1683516

Visualizing mental representations in schizophrenia patients: a reverse correlation approach
Brinkman, L., Dotsch, R., Zondergeld, J., Aarts, H., & van Haren, N. (2019)
Schizophrenia Research: Cognition, Volume 17
doi: https://doi.org/10.1016/j.scog.2019.100138

Is classroom noise always bad for children? The contribution of age and selective attention to creative performance in noise.
Massonnié, J., Rogers, C. J., Mareschal, D., & Kirkham, N. Z. (2019).
Frontiers in psychology, 10, 381.
doi: https://doi.org/10.3389/fpsyg.2019.00381

The role of elevation in moral judgment.
Klebl, C., Dziobek, I., & Diessner, R. (2019).
Journal of Moral Education, 1-19.
doi: https://doi.org/10.1080/03057240.2018.1550635

A role for metamemory in cognitive offloading.
Hu, X., Luo, L., & Fleming, S. M. (2019).
Cognition, 193, 104012.
doi: https://doi.org/10.1016/j.cognition.2019.104012

The effects of high variability training on voice identity learning
Lavan, N., Knight, S., Hazan, V., & McGettigan, C. (2019).
Cognition, 193, 104026.
doi: https://doi.org/10.1016/j.cognition.2019.104026

What information should CSCL teacher dashboards provide to help teachers interpret CSCL situations?.
van Leeuwen, A., Rummel, N., & van Gog, T. (2019).
International Journal of Computer-Supported Collaborative Learning, 1-29.
doi: https://doi.org/10.1007/s11412-019-09299-x

Statistical and methodological problems with concreteness and other semantic variables: A list memory experiment case study
Pollock, L (2018).
Behavior Research Methods 50: 1198
doi: https://doi.org/10.3758/s13428-017-0938-y

Metacognitive Failure as a Feature of Those Holding Radical Beliefs
Rollwage, M., Dolan, R. J., & Fleming, S. M. (2018).
Current Biology, 28(24), 4014-4021.
doi: https://doi.org/10.1016/j.cub.2018.10.053

What accounts for individual differences in susceptibility to the McGurk effect?
Brown VA, Hedayati M, Zanger A, Mayn S, Ray L, Dillman-Hasso N, & Strand FJ (2018)
PLoS ONE 13(11): e0207160.
doi: https://doi.org/10.1371/journal.pone.0207160

A randomised controlled trial of the effect of providing online risk information and lifestyle advice for the most common preventable cancers: study protocol
Juliet A. Usher-Smith, Golnessa Masson, Katie Mills, Stephen J. Sharp, Stephen Sutton, William M. P. Klein, Simon J. Griffin (2018).
BMC Public Health, Volume 18, Number 1, Page 1.
Link: https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-018-5712-2

Talker change detection: A comparison of human and machine performance
Neeraj Kumar Sharma, Shobhana Ganesh, Sriram Ganapathy, Lori L. Holt (2018)
The Journal of the Acoustical Society of America 145(1) 131-142
doi: https://doi.org/10.1121/1.5084044

Digital Identity: The Effect of Trust and Reputation Information on User Judgement in the Sharing Economy
Zloteanu, Mircea and Harvey, Nigel and Tuckett, David and Livan, Giacomo, (2018)
PLOS ONE
doi: https://doi.org/10.1371/journal.pone.0209071

Attrition from Web-Based Cognitive Testing: A Repeated Measures Comparison of Gamification Techniques
Lumsden, J., Skinner, A., Coyle, D., Lawrence, N., & Munafo, M. (2017). Journal of Medical Internet Research, 19(11), e395.
doi: http://doi.org/10.2196/jmir.8473

Pre-Prints

Affective rating of audio and video clips using the EmojiGrid.
Toet, A., & van Erp, J. B. F. (2020)
F1000Research
doi: https://doi.org/10.12688/f1000research.25088.1

Assessing the reliability of an online behavioural laterality battery: a pre-registered study.
Parker, A. J., Woodhead, Z. V. J., Thompson, P. A., & Bishop, D. V. M. (2020)
PsyArXiv
doi: https://doi.org/10.31234/osf.io/sb824

The role of prior lexical knowledge in children’s and adults’ word learning from stories.
James, E., Pearce, R., Korell, C., Dean, C., Gaskell, M., & Henderson, L. (2020)
PsyArXiv
doi: https://doi.org/10.31234/osf.io/vm5ad

Highly accurate and robust identity perception from personally familiar voices.
Kanber, E., Lavan, N., & McGettigan, C. (2020)
PsyArXiv
doi: https://doi.org/10.31234/osf.io/hc7q4

Unimodal and cross-modal identity judgements using an audiovisual sorting task: Evidence for independent processing of faces and voices.
Lavan, N., Smith, H., & McGettigan, C. (2020)
PsyArXiv
doi: https://doi.org/10.31234/osf.io/y5zbh

Contributions of mouth movements to identity matching across faces and voices.
Lavan, N., Smith, H., Jiang, L., & McGettigan, C. (2020)
PsyArXiv
doi: https://doi.org/10.31234/osf.io/t32rz

Familiarity and task context shape the use of acoustic information in voice identity perception.
Kreitewolf, J., Lavan, N., Obleser, J., & McGettigan, C. (2020)
PsyArXiv
doi: https://doi.org/10.31234/osf.io/r8zt9

Instrumental learning in social interactions: trait learning from faces and voices
Bradshaw, A., & McGettigan, C. (2020)
PsyArXiv
doi: https://doi.org/10.31234/osf.io/7awje

Disrupted state transition learning as a computational marker of compulsivity and anxious arousal.
Sharp, P. B., Dolan, R. J., & Eldar, E. (2020)
PsyArXiv
doi: https://doi.org/10.31234/osf.io/x29jq

No Difference in Trait-Level Attentional Bias Between Daily and Non-Daily Smokers.
Bartlett, J. E. (2020)
ESRI Working Paper
doi: https://doi.org/10.31234/osf.io/cn64d

Spring break or heart break? Extending valence bias to emotional words
Harp, N., Brown, C., & Neta, M. (2020)
PsyArXiv
doi: https://psyarxiv.com/mrg3t/

Are Adolescents More Optimal Decision-Makers in Novel Environments? Examining Exploration and Learning in a Patch Foraging Paradigm
Lloyd, A., McKay, R., Sebastian, C. L., Balsters, J. H. (2020)
PsyArXiv
doi: https://psyarxiv.com/ypknq/

Motivating social distancing during the COVID-19 pandemic: An online experiment
Lunn, P. D., Belton, C. A., Lavin, C., Timmons, S., Robertson, D. A. (2020)
ESRI Working Paper
doi: https://doi.org/10.30636/jbpa.31.147

Make or break it: Boundary conditions for integrating multiple elements in episodic memory.
James, E., Ong, G., Henderson, L., Horner, A. (2020)
PsyArXiv
doi: https://psyarxiv.com/pd9us/

The EmojiGrid as a Rating Tool for the Affective Appraisal of Touch.
Toet, A., & van Erp, J. B. (2020)
OSF Preprints
doi: https://osf.io/k634y/download

Effects of language experience on domain-general perceptual strategies.
Jasmin, K., Sun, H., & Tierney, A. T. (2020).
bioRxiv
doi: https://doi.org/10.1101/2020.01.02.892943

Computational modelling of attentional selectivity in depression reveals perceptual deficits
Grange, J. A., & Rydon-Grange, M. (2020).
PsyArXiv
doi: https://doi.org/10.31234/osf.io/nsc6h

Further developing the Frith-Happé animations: A quicker, more objective, and web-based test of theory of mind for autistic and neurotypical adults
Livingston, L. A., Shah, P., & Happé, F. (2019).
PsyArXiv
doi: https://doi.org/10.31234/osf.io/grwd6

Comparing unfamiliar voice and face identity perception using identity sorting tasks.
Johnson, J., McGettigan, C., & Lavan, N. (2019).
PsyArXiv
doi: https://doi.org/10.31234/osf.io/nscvu

Language learning as uncertainty reduction: The role of prediction error in linguistic generalization and item learning.
Vujović, M., Ramscar, M., & Wonnacott, E. (2019).
OSF Preprints
doi: https://doi.org/10.31219/osf.io/f2n9d

Perceptual prioritisation of self-associated voices.
Payne, B., Lavan, N., Knight, S., & McGettigan, C. (2019).
PsyArXiv
doi: : https://doi.org/10.31234/osf.io/xdw6t

Evidence for separate backward recall and n-back working memory factors: A large-scale latent variable analysis.
Byrne, E. M., Gilbert, R. A., Kievit, R., & Holmes, J. (2019).
PsyArXiv
doi: https://doi.org/10.1080/02699931.2019.1683516

Measuring narrative engagement: The heart tells the story
Daniel C. Richardson, Nicole K. Griffin, Lara Zaki, Auburn Stephenson, Jiachen Yan, John Hogan, Jeremy I. Skipper, Joseph T. Devlin (2018)
bioRxiv 351148
doi: https://doi.org/10.1101/351148

Beyond average: Using face regression to study social perception
Jones, A. (2018).
OSF preregistration
doi: https://doi.org/10.31234/osf.io/dpmzq

Studies of cross-lingual long-term priming
PsyArxXiv / OSF Preprint
Poort, E. D., & Rodd, J. M. (2017, May 30)
doi: https://doi.org/10.31234/osf.io/ert8k

Does Object Size Matter with Regard to the Mental Simulation of Object Orientation?
OSF Registered Report accepted at Experimental Psychology stage 1
Sau-Chin Chen , Bjorn de Koning, Rolf Zwaan (2018, March 28)
doi: https://osf.io/26jgu/

The Role of Elevation in Moral Judgement
Klebl, C., Dziobek, S., & Diessner, R. Berlin
Preprint on Research Gate

Visualizing mental representations in schizophrenia patients: a reverse correlation approach
Brinkman, L., Dotsch, R., Zondergeld, J., Aarts, H., & van Haren, N. (2018, December 6)
PsyArxXiv / OSF Preprint
doi: https://doi.org/10.31234/osf.io/bzn3f

No evidence that omission and congruity biases affect the perception and recall of vaccine-related information
Jiménez, Á. V., Mesoudi, A., & Tehrani, J. J. (2018, December 10)
PsyArxXiv / OSF Preprint
doi: https://doi.org/10.31234/osf.io/uqdn6

No clear advantage for high variability training during voice identity learning
Nadine Lavan, Sarah Knight, Valerie Hazan & Carolyn McGettigan
PsyArxXiv / OSF Preprint
doi: https://doi.org/10.31234/osf.io/ujr4z

Posters and Conference Publications

The role of prediction error in linguistic generalization and item-based learning
Vujovic, M., Ramscar, M., & Wonnacott, E. (2018).
Poster presented at AMLaP. Berlin, Germany.
Poster: https://masavujovic.github.io/files/vujovic_discriminationlearning.pdf

Theses & Student Projects

Householders' perceptions of energy use and energy saving.
Cowen, Laura J. (2019).
University of Surry Doctoral Thesis
http://epubs.surrey.ac.uk/851703/

Measuring the user experience of data visualisation.
van Willigen, T. (2019).
Universiteit Twente Graduation Project
https://essay.utwente.nl/77564/1/vanWilligen_MA_IT.pdf

Prediction of Self Perception based on Dominance and Trustworthiness by using Reverse Correlation.
Driel, S.D. van, (2017).
Faculty of Humanities Theses, Utrecht, (Bachelor thesis)
https://dspace.library.uu.nl/handle/1874/353911