TY - JOUR
T1 - The Face-Space Typicality Paradox: Understanding the Face - Space Metaphor
AU - Burton, A. Mike
AU - Vokey, John R.
N1 - Funding Information:
Requests for reprints shoud blsentetoMike Butonr, Departmnte GlsaowgG12 8QQ , U.K. E-mil: [email protected]. T his wrk woas funded in prt bay a grant from the NtraulaSciences and Research Council of Cndaaato J.R.V. T he authrs thonk aPeter Hanockc, Ben Craven, and Gill Rhdesofor discussions of these probmsloever several years, and Any Ydoung, Bob Johnstno, and T im Valentine for comments on an earlier version of tshppira.e
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 1998/8
Y1 - 1998/8
N2 - Some recent accounts of human face processing use the idea of "face space", considered to be a multi-dimensional space whose dimensions correspond to ways in which faces can vary. Within this space, "typicality" is sometimes taken to reflect the proximity of a face to its local neighbours. Intuitions about the distribution of faces within the space may suggest that the majority of faces will be "typical" in these terms. However, when typicality measures are taken, researchers very rarely find that faces cluster at the "typical" end of the scale. In this short note we attempt to resolve this paradox and point out that reasoning about high-dimensional distributions requires that some specific assumptions are made explicit.
AB - Some recent accounts of human face processing use the idea of "face space", considered to be a multi-dimensional space whose dimensions correspond to ways in which faces can vary. Within this space, "typicality" is sometimes taken to reflect the proximity of a face to its local neighbours. Intuitions about the distribution of faces within the space may suggest that the majority of faces will be "typical" in these terms. However, when typicality measures are taken, researchers very rarely find that faces cluster at the "typical" end of the scale. In this short note we attempt to resolve this paradox and point out that reasoning about high-dimensional distributions requires that some specific assumptions are made explicit.
UR - http://www.scopus.com/inward/record.url?scp=0032391454&partnerID=8YFLogxK
U2 - 10.1080/713755768
DO - 10.1080/713755768
M3 - Article
AN - SCOPUS:0032391454
SN - 0272-4987
VL - 51
SP - 475
EP - 483
JO - Quarterly Journal of Experimental Psychology Section A: Human Experimental Psychology
JF - Quarterly Journal of Experimental Psychology Section A: Human Experimental Psychology
IS - 3
ER -