Measuring the Uncanny Valley Effect

[1]  Karl F. MacDorman,et al.  Familiar faces rendered strange: Why inconsistent realism drives characters into the uncanny valley , 2016, Journal of vision.

[2]  Tatsuya Nomura,et al.  Rapport–Expectation with a Robot Scale , 2016, Int. J. Soc. Robotics.

[3]  K. MacDorman,et al.  Reducing consistency in human realism increases the uncanny valley effect; increasing category uncertainty does not , 2016, Cognition.

[4]  Maya B. Mathur,et al.  Navigating a social world with robot partners: A quantitative cartography of the Uncanny Valley , 2016, Cognition.

[5]  Evgenios Vlachos,et al.  An open-ended approach to evaluating Android faces , 2015, 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

[6]  J. Kätsyri,et al.  A review of empirical evidence on different uncanny valley hypotheses: support for perceptual mismatch as one road to the valley of eeriness , 2015, Front. Psychol..

[7]  Wendy A. Rogers,et al.  Why Some Humanoid Faces Are Perceived More Positively Than Others: Effects of Human-Likeness and Task , 2014, International Journal of Social Robotics.

[8]  Tyler J. Burleigh,et al.  A reappraisal of the uncanny valley: categorical perception or frequency-based sensitization? , 2015, Front. Psychol..

[9]  C. Luzzatti,et al.  Phonological rehabilitation in acquired aphasia , 2015 .

[10]  Bruce Mangan The uncanny valley as fringe experience , 2015 .

[11]  Steven O. Entezari,et al.  Individual differences predict sensitivity to the uncanny valley , 2015 .

[12]  Roger K. Moore,et al.  The Uncanny Valley: A Focus on Misaligned Cues , 2014, ICSR.

[13]  Ekaterina P. Volkova,et al.  Emotion categorization of body expressions in narrative scenarios , 2014, Front. Psychol..

[14]  Hiroshi Kobayashi,et al.  Android Patient Robot Simulating Depressed Patients for Diagnosis Training of Psychiatric Trainees , 2013, 2013 Second International Conference on Robot, Vision and Signal Processing.

[15]  Marcus Cheetham,et al.  Category Processing and the human likeness dimension of the Uncanny Valley Hypothesis: Eye-Tracking Data , 2013, Front. Psychol..

[16]  Kerstin Dautenhahn,et al.  An Interactive Game with a Robot: Peoples' Perceptions of Robot Faces and a Gesture-Based User Interface , 2013, ACHI 2013.

[17]  Andrew Faulkner,et al.  Vividness of Visual Imagery and Incidental Recall of Verbal Cues, When Phenomenological Availability Reflects Long-Term Memory Accessibility , 2013, Front. Psychology.

[18]  Yuki Yamada,et al.  Categorization difficulty is associated with negative evaluation in the “uncanny valley” phenomenon , 2013 .

[19]  Roger K. Moore A Bayesian explanation of the ‘Uncanny Valley’ effect and related psychological phenomena , 2012, Scientific Reports.

[20]  Karl F. MacDorman,et al.  The Uncanny Valley [From the Field] , 2012, IEEE Robotics Autom. Mag..

[21]  M. Treviño,et al.  Noradrenergic ‘Tone’ Determines Dichotomous Control of Cortical Spike-Timing-Dependent Plasticity , 2012, Scientific Reports.

[22]  Masataka Watanabe,et al.  Human Neuroscience Original Research Article Awareness of Central Luminance Edge Is Crucial for the Craik-o'brien-cornsweet Effect , 2022 .

[23]  L. Jäncke,et al.  Human Neuroscience , 2022 .

[24]  Matthias Scheutz,et al.  A mismatch in the human realism of face and voice produces an uncanny valley , 2011, i-Perception.

[25]  Bertrand Tondu,et al.  A New Interpretation of mori's Uncanny Valley for Future Humanoid Robots , 2011, Int. J. Robotics Autom..

[26]  T. Wheatley,et al.  The Tipping Point of Animacy , 2010, Psychological science.

[27]  Karl F. MacDorman,et al.  Revisiting the uncanny valley theory: Developing and validating an alternative to the Godspeed indices , 2010, Comput. Hum. Behav..

[28]  D. Roberson,et al.  Categorical Perception for Unfamiliar Faces , 2010, Psychological science.

[29]  Andreas Herrmann,et al.  The influence of stimulus ambiguity on category and attitude formation , 2010 .

[30]  R. Keen Why People Fail to Recognize Their Own Incompetence , 2010 .

[31]  H. Ishiguro,et al.  EXPLORING THE UNCANNY VALLEY WITH GEMINOID HI-1 IN A REAL-WORLD APPLICATION , 2010 .

[32]  Peter Robinson,et al.  Empathizing with robots: Fellow feeling along the anthropomorphic spectrum , 2009, 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops.

[33]  Naomi H. Feldman,et al.  The influence of categories on perception: explaining the perceptual magnet effect as optimal statistical inference. , 2009, Psychological review.

[34]  Catrin Misselhorn,et al.  Empathy with Inanimate Objects and the Uncanny Valley , 2009, Minds and Machines.

[35]  Karl F. MacDorman,et al.  Too real for comfort? Uncanny responses to computer generated faces , 2009, Comput. Hum. Behav..

[36]  Dana Kulic,et al.  Measurement Instruments for the Anthropomorphism, Animacy, Likeability, Perceived Intelligence, and Perceived Safety of Robots , 2009, Int. J. Soc. Robotics.

[37]  Karl F. MacDorman,et al.  Does Japan really have robot mania? Comparing attitudes by implicit and explicit measures , 2008, AI & SOCIETY.

[38]  Karl F. MacDorman,et al.  Human emotion and the uncanny valley: A GLM, MDS, and Isomap analysis of robot video ratings , 2008, 2008 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[39]  Jun'ichiro Seyama,et al.  The Uncanny Valley: Effect of Realism on the Impression of Artificial Human Faces , 2007, PRESENCE: Teleoperators and Virtual Environments.

[40]  E. Pronin,et al.  Perception and misperception of bias in human judgment , 2007, Trends in Cognitive Sciences.

[41]  S. Turkle Authenticity in the age of digital companions , 2007 .

[42]  H. Ishiguro,et al.  Opening Pandora’s Box , 2020, Marriage Equality.

[43]  H. Ishiguro,et al.  The uncanny advantage of using androids in cognitive and social science research , 2006 .

[44]  Marek P. Michalowski,et al.  A spatial model of engagement for a social robot , 2006, 9th IEEE International Workshop on Advanced Motion Control, 2006..

[45]  Robert T. Clemen,et al.  Subjective Probability Assessment in Decision Analysis: Partition Dependence and Bias Toward the Ignorance Prior , 2005, Manag. Sci..

[46]  Gordon Rugg,et al.  The sorting techniques: a tutorial paper on card sorts, picture sorts and item sorts , 1997, Expert Syst. J. Knowl. Eng..

[47]  Takashi Yamauchi,et al.  Labeling bias and categorical induction: generative aspects of category information. , 2005, Journal of experimental psychology. Learning, memory, and cognition.

[48]  T. Kanda,et al.  Psychology in human-robot communication: an attempt through investigation of negative attitudes and anxiety toward robots , 2004, RO-MAN 2004. 13th IEEE International Workshop on Robot and Human Interactive Communication (IEEE Catalog No.04TH8759).

[49]  Aaron Powers,et al.  Matching robot appearance and behavior to tasks to improve human-robot cooperation , 2003, The 12th IEEE International Workshop on Robot and Human Interactive Communication, 2003. Proceedings. ROMAN 2003..

[50]  L. Ross,et al.  The Bias Blind Spot: Perceptions of Bias in Self Versus Others , 2002 .

[51]  C. Macrae,et al.  Social cognition: thinking categorically about others. , 2000, Annual review of psychology.

[52]  Detmar W. Straub,et al.  Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..

[53]  J. Kruger,et al.  Unskilled and unaware of it: how difficulties in recognizing one's own incompetence lead to inflated self-assessments. , 1999, Journal of personality and social psychology.

[54]  M. Wedel,et al.  An investigation into the association pattern technique as a quantitative approach to measuring means-end chains , 1998 .

[55]  D. Gerbing,et al.  Viability of exploratory factor analysis as a precursor to confirmatory factor analysis , 1996 .

[56]  Wynne W. Chin,et al.  On the use, usefulness, and ease of use of structural equation modeling in MIS research: a note of caution , 1995 .

[57]  Henk A. L. Kiers,et al.  Why Factor Analysis Often is the Incorrect Model for Analyzing Bipolar Concepts, and What Model to Use Instead , 1994 .

[58]  H. Arkes Costs and benefits of judgment errors: Implications for debiasing. , 1991 .

[59]  S. Harnad Categorical Perception: The Groundwork of Cognition , 1990 .

[60]  P. Bentler,et al.  Comparative fit indexes in structural models. , 1990, Psychological bulletin.

[61]  M. Lorr,et al.  A semantic differential mood scale. , 1988, Journal of Clinical Psychology.

[62]  S. Harnad Category Induction and Representation , 1987 .

[63]  T. Gärling A multidimensional scaling and semantic differential technique study of the perception of environmental settings , 1976 .

[64]  P. Bentler Semantic Space is (Approximately) Bipolar , 1969 .

[65]  P. S. Vivekananthan,et al.  A multidimensional approach to the structure of personality impressions. , 1968, Journal of personality and social psychology.

[66]  F. Henry An electronic apparatus for testing fatigue by the visual flicker method. , 1942 .