Karl F. MacDorman

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Hiroshi IshiguroOsaka UniversityVerified email at sys.es.osaka-u.ac.jp
Chin-Chang HoPhD, School of Informatics and Computing, Indiana UniversityVerified email at umail.iu.edu
Masahiro MoriProfessor Emeritus, Tokyo Institute of TechnologyVerified email at nifty.com
Himalaya PatelUS Department of Veterans Affairs; Indiana University BloomingtonVerified email at iupui.edu
M AsadaProfessor of Osaka UniversityVerified email at ams.eng.osaka-u.ac.jp
M K BhuyanDepartment of EEE, IIT GuwahatiVerified email at iitg.ac.in
Stephen CowleyUniversity of Southern DenmarkVerified email at sdu.dk
Takashi MinatoRIKENVerified email at riken.jp
Wade MitchellLecturer of Human-Computer Interaction, Indiana UniversityVerified email at iupui.edu
Debaleena ChattopadhyayUniversity of Illinois ChicagoVerified email at uic.edu
Susumu TachiProfessor Emeritus, The University of Tokyo; Professor, Keio UniversityVerified email at tachilab.org
Arvin AgahDean of Engineering, Professor of Electrical Engineering & Computer Science, University of KansasVerified email at ku.edu
Eimei OyamaNational Institute of Advanced Industrial Science and Technology (AIST)Verified email at aist.go.jp
Yasuo KuniyoshiSchool of Information Science and Technology, The University of TokyoVerified email at isi.imi.i.u-tokyo.ac.jp
Matthias ScheutzProfessor of Computer Science and Cognitive Science, Tufts UniversityVerified email at tufts.edu
Rawichote ChalodhornCo-founder & Chief ScientistVerified email at precognitive.ai
Hadi KharraziJohns Hopkins UniversityVerified email at jhu.edu
Prathik GaddeBatchX Inc.Verified email at batchx.io
Biplab Ketan ChakrabortyPhD, Indian Institute of Technology Guwahati, IndiaVerified email at sankhyasutralabs.com
Anthony Faiola, PhD, MFADept. of Health & Clinical Sciences, University of KentuckyVerified email at uky.edu

Karl F. MacDorman

Associate Dean, Luddy School of Informatics, Computing, and Engineering, Indiana University

Verified email at indiana.edu - Homepage

Android Science Cognitive Developmental Robotics Human-Robot Interaction Symbol Grounding Uncanny Valley


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The uncanny valley [from the field] M Mori, KF MacDorman, N Kageki IEEE Robotics & automation magazine 19 (2), 98-100, 2012	3552	2012
Subjective ratings of robot video clips for human likeness, familiarity, and eeriness: An exploration of the uncanny valley KF MacDorman ICCS/CogSci-2006 long symposium: Toward social mechanisms of android science 4, 2006	3019	2006
The uncanny valley [Bukimi no tani gensho] M Mori, KF MacDorman, T Minato CogSci 2005 Workshop: Toward Social Mechanisms of Android Science, 108–118, 2005	1409*	2005
The uncanny advantage of using androids in cognitive and social science research KF MacDorman, H Ishiguro Interaction Studies 7 (3), 297-337, 2006	818	2006
Too real for comfort? Uncanny responses to computer generated faces KF MacDorman, RD Green, CC Ho, CT Koch Computers in human behavior 25 (3), 695-710, 2009	664	2009
Cognitive developmental robotics as a new paradigm for the design of humanoid robots M Asada, KF MacDorman, H Ishiguro, Y Kuniyoshi Robotics and Autonomous systems 37 (2-3), 185-193, 2001	550	2001
Revisiting the uncanny valley theory: Developing and validating an alternative to the Godspeed indices CC Ho, KF MacDorman Computers in Human Behavior 26 (6), 1508-1518, 2010	449	2010
Does Japan really have robot mania? Comparing attitudes by implicit and explicit measures KF MacDorman, SK Vasudevan, CC Ho AI & society 23, 485-510, 2009	354	2009
A mismatch in the human realism of face and voice produces an uncanny valley WJ Mitchell, KA Szerszen Sr, AS Lu, PW Schermerhorn, M Scheutz, ... i-Perception 2 (1), 10-12, 2011	244	2011
Human emotion and the uncanny valley: A GLM, MDS, and Isomap analysis of robot video ratings CC Ho, KF MacDorman, ZAD Pramono Proceedings of the 3rd ACM/IEEE international conference on Human robot …, 2008	244	2008
Reducing consistency in human realism increases the uncanny valley effect; increasing category uncertainty does not KF MacDorman, D Chattopadhyay Cognition 146, 190-205, 2016	223	2016
Androids as an experimental apparatus: Why is there an uncanny valley and can we exploit it? KF MacDorman CogSci-2005 workshop: toward social mechanisms of android science, 106-118, 2005	217	2005
Generating natural motion in an android by mapping human motion D Matsui, T Minato, KF MacDorman, H Ishiguro 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2005	214	2005
Review of constraints on vision‐based gesture recognition for human–computer interaction BK Chakraborty, D Sarma, MK Bhuyan, KF MacDorman IET Computer Vision 12 (1), 3-15, 2018	210	2018
Facilitators and barriers to adopting robotic-assisted surgery: Contextualizing the unified theory of acceptance and use of technology C BenMessaoud, H Kharrazi, KF MacDorman PLOS ONE 6 (1), e16395, 2011	201	2011
Measuring the uncanny valley effect: Refinements to indices for perceived humanness, attractiveness, and eeriness CC Ho, KF MacDorman International Journal of Social Robotics 9 (1), 129-139, 2017	188	2017
Individual differences predict sensitivity to the uncanny valley KF MacDorman, SO Entezari Interaction Studies 16 (2), 141-172, 2015	185	2015
Sensitivity to the proportions of faces that vary in human likeness RD Green, KF MacDorman, CC Ho, S Vasudevan Computers in Human Behavior 24 (5), 2456-2474, 2008	143	2008
Assessing human likeness by eye contact in an android testbed KF MacDorman, T Minato, M Shimada, S Itakura, S Cowley, H Ishiguro Proceedings of the XXVII annual meeting of the cognitive science society, 21-23, 2005	115	2005
Automatic emotion prediction of song excerpts: Index construction, algorithm design, and empirical comparison KF MacDorman, S Ough, CC Ho Journal of New Music Research 36 (4), 281-299, 2007	95	2007

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