The DOI matches its Crossref record; 109 of the 113 references it cites were found in a registry or an index, and 1 are not checked yet.
The human likeness dimension of the “uncanny valley hypothesis”: behavioral and functional MRI findings
Open accessAbstract
The uncanny valley hypothesis (Mori, 1970) predicts differential experience of negative and positive affect as a function of human likeness. Affective experience of humanlike robots and computer-generated characters (avatars) dominates "uncanny" research, but findings are inconsistent. Importantly, it is unknown how objects are actually perceived along the hypothesis' dimension of human likeness (DOH), defined in terms of human physical similarity. To examine whether the DOH can also be defined in terms of effects of categorical perception (CP), stimuli from morph continua with controlled differences in physical human likeness between avatar and human faces as endpoints were presented. Two behavioral studies found a sharp category boundary along the DOH and enhanced visual discrimination (i.e., CP) of fine-grained differences between pairs of faces at the category boundary. Discrimination was better for face pairs presenting category change in the human-to-avatar than avatar-to-human direction along the DOH. To investigate brain representation of physical change and category change along the DOH, an event-related functional magnetic resonance imaging study used the same stimuli in a pair-repetition priming paradigm. Bilateral mid-fusiform areas and a different right mid-fusiform area were sensitive to physical change within the human and avatar categories, respectively, whereas entirely different regions were sensitive to the human-to-avatar (caudate head, putamen, thalamus, red nucleus) and avatar-to-human (hippocampus, amygdala, mid-insula) direction of category change. These findings show that Mori's DOH definition does not reflect subjective perception of human likeness and suggest that future "uncanny" studies consider CP and the DOH's category structure in guiding experience of non-human objects.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In practice, previous uncanny valley studies have employed at least 11 evenly distributed human-likeness steps along the human-likeness continuum (e.g., Looser and Wheatley, 2010; Cheetham et al., 2011, 2014).”
From A review of empirical evidence on different uncanny valley hypotheses: support for perceptual mismatch as one road to the valley of eeriness (2015) · cites this paper as Cheetham et al., 2011
In the citing paper
“Similarly as humans and other primates, humans and anthropomorphic characters share many fundamental similarities that could place them in the same overarching category of humanlike entities (cf. Campbell et al., 1997; Cheetham et al., 2011).”
From A review of empirical evidence on different uncanny valley hypotheses: support for perceptual mismatch as one road to the valley of eeriness (2015) · cites this paper as Cheetham et al., 2011
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Statistical parametric maps in functional imaging: A general linear approach
Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J. ‐., Frith, C. D., & Frackowiak, R. S. J. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020402 · Cited by 9,688
Contributions of the Amygdala to Emotion Processing: From Animal Models to Human Behavior
Phelps, E. A., & LeDoux, J. E. (2005) · Neuron · doi:10.1016/j.neuron.2005.09.025 · Cited by 3,203
A CLASSIFICATION OF HAND PREFERENCE BY ASSOCIATION ANALYSIS
Annett, M. (1970) · British Journal of Psychology · doi:10.1111/j.2044-8295.1970.tb01248.x · Cited by 2,271
Repetition and the brain: neural models of stimulus-specific effects
Grill-Spector, K., Henson, R., & Martin, A. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.11.006 · Cited by 2,256
How brains beware: neural mechanisms of emotional attention
Vuilleumier, P. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.10.011 · Cited by 2,162
Psychological and neural mechanisms of the affective dimension of pain
Price, D. D. (2000) · Science · doi:10.1126/science.288.5472.1769 · Cited by 2,092
Defining Identification: A Theoretical Look at the Identification of Audiences With Media Characters
Cohen, J. (2001) · Mass Communication and Society · doi:10.1207/s15327825mcs0403_01 · Cited by 1,928
Human emotion and memory: Interactions of the amygdala and hippocampal complex
Phelps, E. A. (2004) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2004.03.015 · Cited by 1,577
Temporal difference models and reward-related learning in the human brain
O'Doherty, J. P., Dayan, P., Friston, K., Critchley, H., & Dolan, R. J. (2003) · Neuron · doi:10.1016/s0896-6273(03)00169-7 · Cited by 1,522
Bukimi no tani [the uncanny valley]
Mori, M. (1970) · Energy · Cited by 1,485
Neural systems responding to degrees of uncertainty in human decision-making
Hsu, M., Bhatt, M., Adolphs, R., Tranel, D., & Camerer, C. F. (2005) · Science · doi:10.1126/science.1115327 · Cited by 1,411
Etkin, A., Egner, T., Peraza, D. M., Kandel, E. R., & Hirsch, J. (2006) · Neuron · doi:10.1016/j.neuron.2006.07.029 · Cited by 1,360
Getting to Know You: Reputation and Trust in a Two-Person Economic Exchange
King-Casas, B., Tomlin, D., Anen, C., Camerer, C. F., Quartz, S. R., & Montague, P. R. (2005) · Science · doi:10.1126/science.1108062 · Cited by 1,345
Paulus, M. P., & Stein, M. B. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.03.042 · Cited by 1,325
Wager, T. D., Phan, K. L., Liberzon, I., & Taylor, S. F. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00078-8 · Cited by 1,150
Interactive memory systems in the human brain
Poldrack, R. A., Clark, J., Paré-Blagoev, E. J., Shohamy, D., Creso Moyano, J., Myers, C., & Gluck, M. A. (2001) · Nature · doi:10.1038/35107080 · Cited by 1,132
fMR-adaptation: a tool for studying the functional properties of human cortical neurons
Kalanit Grill-spector, A., & Malach, R. (2001) · Acta Psychologica · doi:10.1016/s0001-6918(01)00019-1 · Cited by 1,089
Ashby, F. G., & Maddox, W. T. (2004) · Annual Review of Psychology · doi:10.1146/annurev.psych.56.091103.070217 · Cited by 940
The neural systems that mediate human perceptual decision making
Heekeren, H. R., Marrett, S., & Ungerleider, L. G. (2008) · Nature reviews. Neuroscience · doi:10.1038/nrn2374 · Cited by 925
Activation of the left amygdala to a cognitive representation of fear
Phelps, E. A., O'Connor, K. J., Gatenby, J. C., Gore, J. C., Grillon, C., & Davis, M. (2001) · Nature Neuroscience · doi:10.1038/86110 · Cited by 895
Neuroimaging studies of priming
Henson, R. N. (2003) · Progress in Neurobiology · doi:10.1016/s0301-0082(03)00086-8 · Cited by 770
The uncanny advantage of using androids in cognitive and social science research
MacDorman, K. F., & Ishiguro, H. (2006) · Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems · doi:10.1075/is.7.3.03mac · Cited by 658
Surface versus edge-based determinants of visual recognition
Biederman, I., & Ju, G. (1988) · Cognitive Psychology · doi:10.1016/0010-0285(88)90024-2 · Cited by 657
Stern, C. E., Corkin, S., González, R. G., Guimarães, A. R., Baker, J. R., Jennings, P. J., Carr, C. A., Sugiura, R., Vedantham, V., & Rosen, B. R. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.16.8660 · Cited by 645
The Uncanny Valley: Effect of Realism on the Impression of Artificial Human Faces
Seyama, J., & Nagayama, R. S. (2007) · PRESENCE Virtual and Augmented Reality · doi:10.1162/pres.16.4.337 · Cited by 583
Morphing Marilyn into Maggie dissociates physical and identity face representations in the brain
Rotshtein, P., Henson, R. N., Treves, A., Driver, J., & Dolan, R. J. (2004) · Nature Neuroscience · doi:10.1038/nn1370 · Cited by 548
Too real for comfort? Uncanny responses to computer generated faces
MacDorman, K. F., Green, R. D., Ho, C.-C., & Koch, C. T. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2008.12.026 · Cited by 533
Ho, C.-C., & MacDorman, K. F. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.05.015 · Cited by 532
Neural Representation of Subjective Value Under Risk and Ambiguity
Levy, I., Snell, J., Nelson, A. J., Rustichini, A., & Glimcher, P. W. (2009) · Journal of Neurophysiology · doi:10.1152/jn.00853.2009 · Cited by 516
Category Learning in the Brain
Seger, C. A., & Miller, E. K. (2010) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.051508.135546 · Cited by 483
Saygin, A. P., Chaminade, T., Ishiguro, H., Driver, J., & Frith, C. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsr025 · Cited by 452
Walters, M. L., Syrdal, D. S., Dautenhahn, K., Boekhorst, R. T., & Koay, K. L. (2007) · Autonomous Robots · doi:10.1007/s10514-007-9058-3 · Cited by 449
Critchley, H. D., Mathias, C. J., & Dolan, R. J. (2002) · Neuron · doi:10.1016/s0896-6273(02)00588-3 · Cited by 441
Striatal activation during acquisition of a cognitive skill.
Poldrack, R. A., Prabhakaran, V., Seger, C. A., & Gabrieli, J. D. E. (1999) · Neuropsychology · doi:10.1037//0894-4105.13.4.564 · Cited by 428
Striatal activation during acquisition of a cognitive skill.
Poldrack, R. A., Prabhakaran, V., Seger, C. A., & Gabrieli, J. D. E. (1999) · Neuropsychology · doi:10.1037/0894-4105.13.4.564 · Cited by 428
Pain-related cerebral activation is altered by a distracting cognitive task
Petrović, P., Petersson, K. M., Ghatan, P. H., Stone‐Elander, S., & Ingvar, M. (2000) · Pain · doi:10.1016/s0304-3959(99)00232-8 · Cited by 419
The Roles of the Caudate Nucleus in Human Classification Learning
Seger, C. A., & Cincotta, C. M. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.3401-04.2005 · Cited by 403
Local caspase activity directs engulfment of dendrites during pruning
Williams, D. W., Kondo, S., Krzyzanowska, A., Hiromi, Y., & Truman, J. W. (2006) · Nature Neuroscience · doi:10.1038/nn1774 · Cited by 369
THE GROWTH OF MANUAL PREFERENCE AND SPEED
Annett, M. (1970) · British Journal of Psychology · doi:10.1111/j.2044-8295.1970.tb01274.x · Cited by 368
A Neural Representation of Categorization Uncertainty in the Human Brain
Grinband, J., Hirsch, J., & Ferrera, V. P. (2006) · Neuron · doi:10.1016/j.neuron.2006.01.032 · Cited by 337
Attention increases neural selectivity in the human lateral occipital complex
Murray, S. O., & Wojciulik, E. (2003) · Nature Neuroscience · doi:10.1038/nn1161 · Cited by 325
An Unexpected Sequence of Events: Mismatch Detection in the Human Hippocampus
Kumaran, D., & Maguire, E. A. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040424 · Cited by 324
Motor theory of speech perception: A reply to Lane's critical review.
Studdert‐Kennedy, M., Liberman, A. M., Harris, K. S., & Cooper, F. S. (1970) · Psychological Review · doi:10.1037/h0029078 · Cited by 309
Striatal Prediction Error Modulates Cortical Coupling
den Ouden, H. E. M., Daunizeau, J., Roiser, J., Friston, K. J., & Stephan, K. E. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.4458-09.2010 · Cited by 304
Rutishauser, U., Mamelak, A. N., & Schuman, E. M. (2006) · Neuron · doi:10.1016/j.neuron.2006.02.015 · Cited by 303
The Effects of Surface Detail on Object Categorization and Naming
Price, C. J., & Humphreys, G. W. (1989) · The Quarterly Journal of Experimental Psychology Section A · doi:10.1080/14640748908402394 · Cited by 302
Categorization Training Results in Shape- and Category-Selective Human Neural Plasticity
Jiang, X., BRADLEY, E. D., Rini, R. A., Zeffiro, T. A., VanMeter, J. W., & Riesenhuber, M. (2007) · Neuron · doi:10.1016/j.neuron.2007.02.015 · Cited by 274
Dissociating explicit and procedural-learning based systems of perceptual category learning
Maddox, W. T., & Ashby, F. G. (2004) · Behavioural Processes · doi:10.1016/j.beproc.2004.03.011 · Cited by 253
Selective enhancement of associative learning by microstimulation of the anterior caudate
Williams, Z. M., & Eskandar, E. N. (2006) · Nature Neuroscience · doi:10.1038/nn1662 · Cited by 235
Dynamics of Frontal, Striatal, and Hippocampal Systems during Rule Learning
Seger, C. A. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhj092 · Cited by 232
Bussey, T. J., Saksida, L. M., & Murray, E. A. (2003) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2003.02475.x · Cited by 221
MacDorman, K. F. (2006) · Medical Entomology and Zoology · Cited by 215
Predicting events of varying probability: uncertainty investigated by fMRI
Volz, K. G., Schubotz, R. I., & von Cramon, D. Y. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00122-8 · Cited by 214
The role of the amygdala in implicit evaluation of emotionally neutral faces
Todorov, A. T., & Engell, A. D. (2008) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsn033 · Cited by 208
From affect to control: Functional specialization of the insula in motivation and regulationPreprint
Wager, T. D., & Barrett, L. F. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/102368 · Cited by 207
The amygdala and decision-making
Gupta, R., Koscik, T. R., Bechara, A., & Tranel, D. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.09.029 · Cited by 205
Lutz, A., Greischar, L. L., Perlman, D. M., & Davidson, R. J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.04.081 · Cited by 199
Water diffusion, T2, and compartmentation in frog sciatic nerve
Peled, S., Cory, D. G., Raymond, S. A., Kirschner, D. A., & Jolesz, F. A. (1999) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(199911)42:5 · Cited by 193
Interoceptive basis to craving
Gray, M. A., & Critchley, H. D. (2007) · Neuron · doi:10.1016/j.neuron.2007.03.024 · Cited by 189
Neural Coding of Reward-Prediction Error Signals During Classical Conditioning With Attractive Faces
Bray, S., & O’Doherty, J. P. (2007) · Journal of Neurophysiology · doi:10.1152/jn.01211.2006 · Cited by 185
Separate brain regions code for salience vs. valence during reward prediction in humans
Jensen, J., Smith, A. J., Willeit, M., Crawley, A. P., Mikulis, D. J., Vitcu, I., & Kapur, S. (2006) · Human Brain Mapping · doi:10.1002/hbm.20274 · Cited by 184
Anthropomorphism influences perception of computer-animated characters' actions
Chaminade, T., Hodgins, J., & Kawato, M. (2007) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsm017 · Cited by 181
Natural facial motion enhances cortical responses to faces
Schultz, J., & Pilz, K. S. (2009) · Experimental Brain Research · doi:10.1007/s00221-009-1721-9 · Cited by 177
Weiskopf, N., Hutton, C., Josephs, O., Turner, R., & Deichmann, R. (2007) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-006-0067-6 · Cited by 177
Category learning and the memory systems debate
Poldrack, R. A., & Foerde, K. (2007) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2007.07.007 · Cited by 169
Evaluation of a Shape-Based Model of Human Face Discrimination Using fMRI and Behavioral Techniques
Jiang, X., Rosen, E., Zeffiro, T. A., VanMeter, J. W., Blanz, V., & Riesenhuber, M. (2006) · Neuron · doi:10.1016/j.neuron.2006.03.012 · Cited by 167
Stark, C. E. L., & Squire, L. R. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-20-07776.2000 · Cited by 163
Intolerance of uncertainty correlates with insula activation during affective ambiguity
Simmons, A., Matthews, S. C., Paulus, M. P., & Stein, M. B. (2008) · Neuroscience Letters · doi:10.1016/j.neulet.2007.10.030 · Cited by 150
How do memory systems interact? Evidence from human classification learning
Poldrack, R. A., & Rodriguez, P. F. (2004) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2004.05.003 · Cited by 145
Rotshtein, P., Malach, R., Hadar, U., Graif, M., & Hendler, T. (2001) · Neuron · doi:10.1016/s0896-6273(01)00513-x · Cited by 141
Per, A., Morris, R., David, A., Tim, B., & O'Keefe, J. M. (2006) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195100273.003.0001 · Cited by 135
Androids as an Experimental Apparatus: Why Is There an Uncanny Valley and Can We Exploit It?
MacDorman, K. F. (2005) · Cited by 130
O’Toole, A. J., Vetter, T., & Blanz, V. (1999) · Vision Research · doi:10.1016/s0042-6989(99)00034-6 · Cited by 120
Learning Shapes the Representation of Behavioral Choice in the Human Brain
Li, S., Mayhew, S. D., & Kourtzi, Z. (2009) · Neuron · doi:10.1016/j.neuron.2009.03.016 · Cited by 120
Defining Identification: A Theoretical Look at the Identification of Audiences With Media Characters
Cohen, J. (2018) · Routledge eBooks · doi:10.4324/9781315164441-14 · Cited by 117
Abnormal Categorization and Perceptual Learning in Patients with Hippocampal Damage
Graham, K. S., Scahill, V. L., Hornberger, M., Barense, M. D., Lee, A. C. H., Bussey, T. J., & Saksida, L. M. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.1535-06.2006 · Cited by 112
The Primacy of Negative Interpretations When Resolving the Valence of Ambiguous Facial Expressions
Neta, M., & Whalen, P. J. (2010) · Psychological Science · doi:10.1177/0956797610373934 · Cited by 111
Information-Integration Category Learning in Patients With Striatal Dysfunction.
Filoteo, J. V., Maddox, W. T., Salmon, D. P., & Song, D. D. (2005) · Neuropsychology · doi:10.1037/0894-4105.19.2.212 · Cited by 106
The role of face shape and pigmentation in other-race face perception: An electrophysiological study
Balas, B., & Nelson, C. A. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.10.007 · Cited by 105
Dissociation between Striatal Regions while Learning to Categorize via Feedback and via Observation
Cincotta, C. M., & Seger, C. A. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2007.19.2.249 · Cited by 104
The utility of surface reflectance for the recognition of upright and inverted faces
Russell, R. P., Biederman, I., Nederhouser, M., & Sinha, P. (2006) · Vision Research · doi:10.1016/j.visres.2006.11.002 · Cited by 104
Jackson, A. A. (2000) · Nutrition Bulletin · doi:10.1046/j.1467-3010.2000.00024.x · Cited by 103
Sensitivity to the proportions of faces that vary in human likeness
Green, R. D., MacDorman, K. F., Ho, C.-C., & Vasudevan, S. (2008) · Computers in Human Behavior · doi:10.1016/j.chb.2008.02.019 · Cited by 102
Seger, C. A., Peterson, E. J., Cincotta, C. M., Lopez‐Paniagua, D., & Anderson, C. W. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.11.083 · Cited by 101
Fabri, M., Moore, D., & Hobbs, D. J. (2004) · Virtual Reality · doi:10.1007/s10055-003-0116-7 · Cited by 97
Todorov, A. T., & Olson, I. R. (2008) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsn013 · Cited by 95
In search of the uncanny valley
Pollick, F. E. (2010) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-642-12630-7_8 · Cited by 91
Neural correlates of a 'pessimistic' attitude when anticipating events of unknown emotional valence
Herwig, U., Kaffenberger, T., Baumgartner, T., & Jäncke, L. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.035 · Cited by 90
The role of surface pigmentation for recognition revealed by contrast reversal in faces and Greebles
Vuong, Q. C., Peissig, J. J., Harrison, M. C., & Tarr, M. J. (2004) · Vision Research · doi:10.1016/j.visres.2004.11.015 · Cited by 87
Etkin, A., Egner, T., Peraza, D. M., Kandel, E. R., & Joy Hirsch, C. (2006) · Neuron · doi:10.1016/j.neuron.2006.12.003 · Cited by 84
Real-World Face Recognition: The Importance of Surface Reflectance Properties
Russell, R. P., & Sinha, P. (2007) · Perception · doi:10.1068/p5779 · Cited by 77
Uncanny behaviour in survival horror games
Tinwell, A., Grimshaw, M., & Williams, A. (2010) · Journal of Gaming & Virtual Worlds · doi:10.1386/jgvw.2.1.3_1 · Cited by 74
All That Glitters … Dissociating Attention and Outcome Expectancy From Prediction Errors Signals
Roesch, M. R., Calu, D. J., Esber, G. R., & Schoenbaum, G. M. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00173.2010 · Cited by 68
Mortality salience and the uncanny valley
MacDorman, K. F. (2006) · IEEE-RAS International Conference on Humanoid Robots (Humanoids) · doi:10.1109/ichr.2005.1573600 · Cited by 60
Minato, T., Shimada, M., Itakura, S., Lee, K., & Ishiguro, H. (2006) · Advanced Robotics · doi:10.1163/156855306778522505 · Cited by 58
Effects of Category-Specific Costs on Neural Systems for Perceptual Decision-Making
Fleming, S. M., Whiteley, L., Hulme, O. J., Sahani, M., & Dolan, R. J. (2010) · Journal of Neurophysiology · doi:10.1152/jn.01084.2009 · Cited by 52
Adaptation in the fusiform face area (FFA): Image or person?
Xu, X., Yue, X., Lescroart, M. D., Biederman, I., & Kim, J. G. (2009) · Vision Research · doi:10.1016/j.visres.2009.08.021 · Cited by 52
Vanni-Mercier, G., Mauguı̀ere, F., Isnard, J., & Dreher, J. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.5298-08.2009 · Cited by 50
Are faces of different species perceived categorically by human observers?
Campbell, R., Pascalis, O., Coleman, M., Wallace, S. B., & Benson, P. J. (1997) · Proceedings of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rspb.1997.0199 · Cited by 50
Tinwell, A., & Grimshaw, M. (2009) · International Academic Mindtrek Conference (Mindtrek) · doi:10.1145/1621841.1621855 · Cited by 48
Categorical perception: Some psychophysical models.
Pastore, R. E. (1987) · Cited by 48
How Realistic is Realism? Considerations on the Aesthetics of Computer Games
Wages, R., Grünvogel, S. M., & Grützmacher, B. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-28643-1_28 · Cited by 48
Neural correlates of shape and surface reflectance information in individual faces
Jiang, F., Dricot, L., Blanz, V., Goebel, R., & Rossion, B. (2009) · Neuroscience · doi:10.1016/j.neuroscience.2009.07.062 · Cited by 47
Face Familiarity, Distinctiveness, and Categorical Perception
Angeli, A., Davidoff, J. B., & Valentine, T. (2008) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470210701399305 · Cited by 42
Probabilistic categorization: How do normal participants and amnesic patients do it?
Meeter, M., Radics, G., Myers, C. E., Gluck, M. A., & Hopkins, R. O. (2007) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2007.11.001 · Cited by 35
Increased amygdala activation to neutral faces is associated with better face memory performance
Kleinhans, N. M., Johnson, L. C., Mahurin, R. K., Richards, T. L., Stegbauer, K. C., Greenson, J., Dawson, G., & Aylward, E. (2007) · Neuroreport · doi:10.1097/wnr.0b013e328165d189 · Cited by 27
MacDorman, K. F., & Ishiguro, H. (2006) · Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems · doi:10.1075/is.7.3.10mac · Cited by 27
Yamamoto, K., Tanaka, S., Kobayashi, H., Kozima, H., & Hashiya, K. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006974 · Cited by 24
Probing the Uncanny Valley with the Eye Size Aftereffect
Seyama, J., & Nagayama, R. S. (2009) · PRESENCE Virtual and Augmented Reality · doi:10.1162/pres.18.5.321 · Cited by 22
Agents and Affect: Why Embodied Agents Need Affective Systems
Aylett, R. S. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-24674-9_52 · Cited by 19
Dissociating explicit and procedural-learning based systems of perceptual category learning
Maddox, W. T. (2004) · Behavioural Processes · doi:10.1016/s0376-6357(04)00060-9 · Cited by 16
Critchley, H. D., Mathias, C., & Dolan, R. (2002) · MPG.PuRe (Max Planck Society) · Cited by 12
Bridging the Uncanny: An impossible traverse?
Tinwell, A., & Grimshaw, M. (2009) · UBIR (University of Greater Manchester) · Cited by 6
Research works printed but not linked: 5
- Bauer H. H. Neumann M. (2005). “Investigating the Effects of Avatars as Virtual Representatives in Electronic Commerce,” in Proceedings of the Australian-New Zealand Marketing Academy Conference (ANZMAC), Perth, 18
- Brenton H. Gillies M. Ballin D. Chatting D. (2008). The uncanny valley: does it exist? Paper presented at the Proceedings of the Human-Animated Characters Interaction, HCI 2005:The Bigger Picture, Edinburgh
- Hanson D. (2006). Exploring the aesthetic range for humanoid robots. Paper Presented at the Proceedings of the ICCS/CogSci-2006 Long Symposium: Toward Social Mechanisms of Android Science, Vancouver
- Harnad S. R. (1987). “Introduction: psychological and cognitive aspects of categorical perception: a critical overview,” in Categorical Perception: The Groundwork of Cognition, ed. Harnad S. (New York: Cambridge University Press), 1– 25
- Ramey C. H. (2005). The uncanny valley of similarities concerning abortion, baldness, heaps of sand, and humanlike robots. Paper Presented at the Proceedings of Views of the Uncanny Valley Workshop: IEEE-RAS International Conference on Humanoid Robots, Tsukuba
Cited by
Sorted by citations
Anthropomorphism: Opportunities and Challenges in Human–Robot Interaction
Złotowski, J. A., Proudfoot, D., Yogeeswaran, K., & Bartneck, C. (2014) · International Journal of Social Robotics · doi:10.1007/s12369-014-0267-6 · Cited by 603
Kätsyri, J., Förger, K., Mäkäräinen, M., & Takala, T. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00390 · Cited by 500
The Uncanny Valley: Existence and Explanations
Wang, S., Lilienfeld, S. O., & Rochat, P. (2015) · Review of General Psychology · doi:10.1037/gpr0000056 · Cited by 357
Conversational commerce: entering the next stage of AI-powered digital assistants
Balakrishnan, J., & Dwivedi, Y. K. (2024) · Annals of Operations Research · doi:10.1007/s10479-021-04049-5 · Cited by 301
Robots As Intentional Agents: Using Neuroscientific Methods to Make Robots Appear More Social
Wiese, E., Giorgio Metta, B., & Wykowska, A. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01663 · Cited by 307
Metadata
- Authors
- Cheetham, M.
- Affiliations
- University of Zurich (CH)
- Corresponding author
- Cheetham, Marcus
- ORCID
- Cheetham, Marcus
- Venue
- Frontiers in Human Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2011
- Volume
- 5
- Pages
- 126-126
- ISSN
- 1662-5161 (ISSN-L)
- PMC
- PMC3223398
- OpenAlex
- W2032460447
- Cited by
- 176
- References
- 111
- Citations by year
- 2026: 10 · 2025: 18 · 2024: 12 · 2023: 14 · 2022: 14 · 2021: 9 · 2020: 9 · 2019: 19 · 2018: 11 · 2017: 13 · 2016: 16 · 2015: 19 · 2014: 6 · 2013: 5 · 2012: 1
- FWCI
- 1.95
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Human Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
- Zurich Open Repository and Archive (University of Zurich)
- Funders
- European Commission (27731)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Life Sciences › Neuroscience › Cognitive Neuroscience › Aesthetic Perception and Analysis
- Keywords
- human-likeness, categorical perception, face perception, human avatars, physical similarity, category boundaries, fusiform gyrus, amygdala, hippocampus, emotional experience
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
