MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_NextPart_01C42787.07941530" This document is a Single File Web Page, also known as a Web Archive file. If you are seeing this message, your browser or editor doesn't support Web Archive files. Please download a browser that supports Web Archive, such as Microsoft Internet Explorer. ------=_NextPart_01C42787.07941530 Content-Location: file:///C:/EF8AB227/Turing.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" He or a She? Nonverbal Gender Detection in Immersive Virtual Environments

This presentation contains content that your browser may not be able to = show properly. This presentation was optimized for more recent versions of Micro= soft Internet Explorer.

If you would like to proceed anyway, click here.

------=_NextPart_01C42787.07941530 Content-Location: file:///C:/EF8AB227/Turing_files/master46.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii"
Click to edit Master title style
Click t= o edit Master text styles
Second level
Third = level
Fourth level
Fifth = level
‹date/time›
‹footer›
‹#›
------=_NextPart_01C42787.07941530 Content-Location: file:///C:/EF8AB227/Turing_files/master46.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C42787.07941530 Content-Location: file:///C:/EF8AB227/Turing_files/preview.wmf Content-Transfer-Encoding: base64 Content-Type: image/x-wmf AQAJAAADsAYAAAYAZwAAAAAABAAAAAMBCAAFAAAACwIAAAAABQAAAAwCeQChAAMAAAAeAAcAAAD8 AgAA////AAAABAAAAC0BAAAIAAAA+gIFAAAAAAD///8ABAAAAC0BAQAOAAAAJAMFAP///////3gA oAB4AKAA////////CAAAAPoCAAAAAAAAAAAAAAQAAAAtAQIABAAAAC0BAAAEAAAAJwH//xwAAAD7 Av3/AAAAAAAAkAEAAAAAAEAAEkdhcmFtb25kAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAAAAC0B AwAEAAAALgEYAAQAAAACAQEABQAAAAkCAAAAAksAAAAyCnAAOAAtAAAAVGhpcyByZXNlYXJjaCB3 YXMgc3VwcG9ydGVkIGJ5IHRoZSBmb2xsb3dpbmcgAAIAAgABAAAAAQABAAEAAQABAAEAAQABAAEA AQACAAEAAQABAAEAAQABAAEAAgABAAEAAAACAAAAAgABAAEAAAACAAEAAQAAAAIAAQAAAAIAAQAB AAEAAQAAAAQAAAAuAQAAHAAAAPsCEAAHAAAAAAC8AgAAAAABAgIiU3lzdGVtAAAAAAAAAAAAABgA AAABAAAASL8WAOQEAAAEAAAALQEEAAQAAADwAQMAHAAAAPsC/f8AAAAAAACQAQAAAAAAQAASR2Fy YW1vbmQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAAAALQEDAAQAAAAuARgABAAAAAIBAQAFAAAA CQIAAAACOQAAADIKcwA9ACEAAABncmFudDogIE5TRiBJVFIgQXdhcmQgSUlTIDAyMDU3NDD/AQAB AAEAAgABAAEAAAABAAIAAQACAAEAAAACAAIAAAACAAIAAQABAAEAAQABAAEAAQABAAEAAQABAAEA AQABAAEABAAAAC4BAAAEAAAALQEEAAQAAADwAQMAAwAAAB4ACAAAAPoCAAABAAAAAGYzAAQAAAAt AQMABwAAAPwCAQAAAAAAAAAEAAAALQEFAAoAAAAlAwMACgAlAAoAFQCVABUABAAAAC0BAgAEAAAA LQEAAAQAAADwAQMABAAAACcB//8DAAAAHgAIAAAA+gIAAAEAAAAAZjMABAAAAC0BAwAEAAAALQEF AAgAAAAlAwIAIgBFAJQARQAEAAAALQECAAQAAAAtAQAABAAAAPABAwAEAAAAJwH//xwAAAD7Avb/ AAAAAAAAvAIAAAAAAEAAIkFyaWFsIE5hcnJvdwAAAAAAAAAAAAAAAAAAAAAAAAAABAAAAC0BAwAE AAAALgEYAAQAAAACAQEABQAAAAkCDwFlAjQAAAAyCiYAEgAeAAAASGUgb3IgYSBTaGU/IE5vbnZl cmJhbCBHZW5kZXIgBgAFAAIABQAEAAIABQACAAUABQAFAAUAAgAGAAUABQAFAAUABAAFAAUAAgAC AAYABQAFAAUABQAEAAIABAAAAC4BAAAEAAAALQEEAAQAAADwAQMAHAAAAPsC9v8AAAAAAAC8AgAA AAAAQAAiQXJpYWwgTmFycm93AAAAAAAAAAAAAAAAAAAAAAAAAAAEAAAALQEDAAQAAAAuARgABAAA AAIBAQAFAAAACQIPAWUCNgAAADIKMgASAB8AAABEZXRlY3Rpb24gaW4gSW1tZXJzaXZlIFZpcnR1 YWwgAAYABQADAAUABQADAAIABQAFAAIAAgAFAAIAAgAHAAcABQAEAAUAAgAFAAUAAgAFAAIABAAD AAUABQACAAIABAAAAC4BAAAEAAAALQEEAAQAAADwAQMAHAAAAPsC9v8AAAAAAAC8AgAAAAAAQAAi QXJpYWwgTmFycm93AAAAAAAAAAAAAAAAAAAAAAAAAAAEAAAALQEDAAQAAAAuARgABAAAAAIBAQAF AAAACQIPAWUCGQAAADIKPgASAAwAAABFbnZpcm9ubWVudHMFAAUABQACAAQABQAFAAcABQAFAAMA BQAEAAAALgEAAAQAAAAtAQQABAAAAPABAwAcAAAA+wL9/wAAAAAAAJABAAAAAABAABJHYXJhbW9u ZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAtAQMABAAAAC4BGAAEAAAAAgEBAAUAAAAJAgAA AAJhAAAAMgpIACQAPAAAAFJvc2FubmEgRS4gR3VhZGFnbm8sIFVuaXZlcnNpdHkgb2YgQ2FsaWZv cm5pYSwgU2FudGEgQmFyYmFyYQIAAgABAAAAAgACAAEAAAACAAEAAQACAAEAAAACAAEAAQABAAIA AQAAAAIAAQABAAEAAQABAAEAAQABAAEAAAACAAEAAAACAAEAAQABAAAAAgAAAAIAAQAAAAEAAQAB AAEAAgABAAAAAQACAAEAAAACAAEAAQABAAQAAAAuAQAABAAAAC0BBAAEAAAA8AEDABwAAAD7Av3/ AAAAAAAAkAEAAAAAAEAAEkdhcmFtb25kAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAAAAC0BAwAE AAAALgEYAAQAAAACAQEABQAAAAkCAAAAAl0AAAAyCk4AJAA5AAAAQWxla3NhbmRhciBEaW1vdiwg VW5pdmVyc2l0eSBvZiBDYWxpZm9ybmlhLCBTYW50YSBCYXJiYXJhYQIAAQABAAEAAQABAAIAAgAA AAEAAQACAAEAAQACAAEAAQABAAEAAgABAAEAAQABAAAAAQABAAEAAAACAAEAAQACAAAAAQABAAAA AgAAAAIAAQABAAAAAQABAAEAAgABAAEAAAACAAEAAQACAAAAAQABAAQAAAAuAQAABAAAAC0BBAAE AAAA8AEDABwAAAD7Av3/AAAAAAAAkAEAAAAAAEAAEkdhcmFtb25kAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAABAAAAC0BAwAEAAAALgEYAAQAAAACAQEABQAAAAkCAAAAAkMAAAAyClQAJAAoAAAASmVy ZW15IE4uIEJhaWxlbnNvbiwgU3RhbmZvcmQgVW5pdmVyc2l0eQEAAQABAAEAAgABAAEAAgABAAEA AgAAAAEAAQABAAIAAAABAAIAAAABAAEAAQABAAIAAAACAAAAAgABAAEAAgABAAEAAQABAAEAAQAB AAEABAAAAC4BAAAEAAAALQEEAAQAAADwAQMAHAAAAPsC/f8AAAAAAACQAQAAAAAAQAASR2FyYW1v bmQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAAAALQEDAAQAAAAuARgABAAAAAIBAQAFAAAACQIA AAACWwAAADIKWwAkADgAAABBbmRyZXcgQy4gQmVhbGwsIFVuaXZlcnNpdHkgb2YgQ2FsaWZvcm5p YSwgU2FudGEgQmFyYmFyYQIAAQACAAEAAQACAAEAAQABAAEAAgABAAAAAQABAAAAAQABAAIAAQAB AAEAAQABAAEAAQAAAAEAAgAAAAEAAgABAAAAAQABAAEAAQABAAEAAQABAAEAAQAAAAIAAQABAAEA AgABAAAAAgABAAEAAQAEAAAALgEAAAQAAAAtAQQABAAAAPABAwAcAAAA+wL9/wAAAAAAAJABAAAA AABAABJHYXJhbW9uZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAtAQMABAAAAC4BGAAEAAAA AgEBAAUAAAAJAgAAAAJaAAAAMgphACQANwAAAEppbSBCbGFzY292aWNoLCBVbml2ZXJzaXR5IG9m IENhbGlmb3JuaWEsIFNhbnRhIEJhcmJhcmFhAQABAAIAAQABAAEAAQABAAEAAgABAAEAAAACAAEA AAACAAEAAQABAAEAAQABAAEAAQABAAAAAgABAAAAAgABAAEAAQAAAAIAAAACAAEAAAABAAEAAQAB AAIAAQAAAAEAAgABAAAAAgABAAEAAQAEAAAALgEAAAQAAAAtAQQABAAAAPABAwAcAAAA+wL9/wAA AAAAAJABAAAAAABAABJHYXJhbW9uZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAtAQMABAAA AC4BGAAEAAAAAgEBAAUAAAAJAgAAAAJnAAAAMgpoACQAQAAAAFdlc3Rlcm4gUHN5Y2hvbG9naWNh bCBBc3NvY2lhdGlvbiBDb252ZW50aW9uLCBQaG9lbml4LCBBWiwgQXByaWwDAAEAAQABAAEAAQAB AAEAAgABAAEAAAACAAEAAQACAAAAAQABAAEAAQABAAIAAQAAAAIAAQABAAEAAAABAAEAAgAAAAIA AQACAAEAAQACAAAAAAACAAEAAQABAAEAAQACAAEAAQABAAEAAQABAAEAAgABAAAAAgACAAAAAQAB AAQAAAAuAQAABAAAAC0BBAAEAAAA8AEDABwAAAD7Av3/AAAAAAAAkAEAAAAAAEAAEkdhcmFtb25k AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAAAAC0BAwAEAAAALgEYAAQAAAACAQEABQAAAAkCAAAA Ag8AAAAyCmgAbAAFAAAAMjAwNCDMAQABAAEAAQABAAQAAAAuAQAABAAAAC0BBAAEAAAA8AEDAAMA AAAAAA== ------=_NextPart_01C42787.07941530 Content-Location: file:///C:/EF8AB227/Turing_files/master47.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii"
Click to edit Master title style
Click to edit Master subtitle style
‹date/time›
‹footer›
‹#›
------=_NextPart_01C42787.07941530 Content-Location: file:///C:/EF8AB227/Turing_files/master47.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C42787.07941530 Content-Location: file:///C:/EF8AB227/Turing_files/master02.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii"
‹header›
‹date/time&= #8250;
‹footer›
‹#›
------=_NextPart_01C42787.07941530 Content-Location: file:///C:/EF8AB227/Turing_files/pres.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C42787.07941530 Content-Location: file:///C:/EF8AB227/Turing_files/slide0001.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" He or a She? Nonverbal Gender Detection in Immersive Virtual Environments
This research was supported by the following grant:  NSF ITR Award IIS 0205740<= ![endif]>
He or a She? Nonverbal Gender Detection in Immersive Virtual Envir= onments
Rosan= na E. Guadagno, University of California, Santa Barbara
Aleksandar Dimov, University of California, Santa Barbara
Jerem= y N. Bailenson, Stanford University
= ;
Andrew C. Beall, University of California, Santa Barbara
Jim Blascovich, University of California, Santa Barbara
= ;
Weste= rn Psychological Association Convention, Phoenix, AZ, April 2004
------=_NextPart_01C42787.07941530 Content-Location: file:///C:/EF8AB227/Turing_files/master47_image001.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlh0gE4AHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAQDQ ATYAgAAAAABmMwL/jI+py+0Po5y02ouz3rz7D4YiQJbmiabqyrbuC8fyTNf2jef6zvf+7wsAh8Si 8YhMKpfMZlLojEqn1Kr1irVCs9yu9wsOi3fbsfmMTqvXvDL7DY/L51q6/Y7P62Xuvf8PGCjWJ1ho eIhIRJjI2Oj4iLIIOUlZqSdpmam5aYbJ+QkaGuUpWmp62oaqusp6Q9oKG4v6Kltrq0l7q7vLmMv7 C+znG0xcHDdsnKw8hrzs/HzVDD1NvSRdjZ39c63d7V3D/S0+vhJOfn5ujr7urc7+Xu0OP+8sT39f bI+/z6vP/1/LH8CBrAQSPGjKIMKFnxQyfGjJIcSJjyRSvIjIIsaNOYE0cvx4CaRIVR5HmoRT8qTK NClXuhz0MuakljJrRrOJ8xDNnDyZ7OwJ9MjPoESBDC2KlEzSpWwKAAA7 ------=_NextPart_01C42787.07941530 Content-Location: file:///C:/EF8AB227/Turing_files/master47_image002.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhfgECAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAQB8 AQEAgAAAAABmMwIRjI+py+0Po5y02ouz3rz7bxQAOx== ------=_NextPart_01C42787.07941530 Content-Location: file:///C:/EF8AB227/Turing_files/slide0002.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" He or a She? Nonverbal Gender Detection in Immersive Virtual Environments
This research was supported by the following grant:  NSF ITR Award IIS 0205740<= ![endif]>
Abstract
<= span style=3D'font-size:50%'>oThe purpose of this study was to examine whether individuals can dete= ct and transmit meaningful information non-verbally in an Immersive Virtual Environment (IVET). Participants were 32 (16 male, 16 female) introductory psychology students who engaged in a series of non-verbal interactions with each other. Each participant entered an immersive virtual environment with= two others – always one male and one female. We sought to determine if participants could successfully identify the gender of the other interacta= nts. Each person was represented by an avatar that was designed to be gender neutral so as not to provide any cues as to the gender of the interaction partners. There were three phases of trials in the experiment: a baseline block in which no specific instructions were provided, a block of trials in which participants were asked to try to determine who among their interact= ion partners was the male and who was the female, and a block in which participants were asked to continue to detect the gender of their interact= ion partners and to also non-verbally transmit their gender to their partners.= The location of the interaction partners in the virtual world alternated rando= mly. Results indicated that participants were not able to detect the gender of their interaction partners significantly above chance in the baseline bloc= k. Mean accuracy for this block was 47%, t (31) =3D  -0.49, n. s. Nor were participants significantly better than chance= in the next block of trials where they were asked to detect gender only. Mean accuracy for this block was 54%, t= (31) =3D 0.81, n. s. However, participants in the= final block of trials were significantly better than chance at accurately detect= ing the gender of the interaction partners. In this case, mean accuracy was 64= %, t (27)= =3D 2.83, p < .01. There were no gender differences in accuracy scores. Thus, it appears that men and women can detect gender via nonverbal interaction in = the absence of visual cues to gender, but only if the target was trying to con= vey his or her gender.
------=_NextPart_01C42787.07941530 Content-Location: file:///C:/EF8AB227/Turing_files/master46_image003.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlh4wEmAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAQDh ASQAgAAAAABmMwLwjI+py+0Po5y02ouz3rz7D4ZiBZTmiabqyrbuC8fyTNf2jef6zvf+DwzKAsKi 8YhMKpfMpvP5JEKn1Kr1is1qtycp9wsOi8fkcs9rTqvX7LYbiH7L5/S6nRu/6/f8vn+W9yc4SFi4 FmiYqLjIuITYCBkpOfnySHmJmWloqdnp+fnGCTpKWqolapqqunqEyvoKG0vjKltre0t7q7ubmsv7 C5zpG0xcvDhsnKzch7zs/BwKLT3NTG19LdeMvc3dpN0NHh70LV5ufkN+rr7eks7+Du8OP38uT38P bo+/f63P/w/NH8CByQQSPAjMIMKFtwoAADs= ------=_NextPart_01C42787.07941530 Content-Location: file:///C:/EF8AB227/Turing_files/master46_image004.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlh4gECAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAADg AQEAgAAAAABmMwIUjI+py+0Po5y02ouz3rz7D4biVAAAOw== ------=_NextPart_01C42787.07941530 Content-Location: file:///C:/EF8AB227/Turing_files/slide0024.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" He or a She? Nonverbal Gender Detection in Immersive Virtual Environments
This research was supported by the following grant:  NSF ITR Award IIS 0205740<= ![endif]>
Introduction: Prior Research
oPrior research has reported that:
nMen and women have very different patterns of non-verbal behavior (e.g., Bente, Donaghy, & Suwelack, 1998)
oNo prior research has used Immersive Virtual Environment Technology (IV= ET) to examine this issue
oIVET provided us with a unique way to mask visual gender cues (e. g= ., people in the virtual environment appeared as same gender-neutral avatar)
o
------=_NextPart_01C42787.07941530 Content-Location: file:///C:/EF8AB227/Turing_files/slide0003.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" He or a She? Nonverbal Gender Detection in Immersive Virtual Environments
This research was supported by the following grant:  NSF ITR Award IIS 0205740<= ![endif]>
Introduction: Purpose of Experiment
oThe purpose of this stud= y was to examine whether meaningful informa= tion could be transmitted non-verbally between participants in a Virtual Environ= ment. oIn the absence of visual cues for ge= nder, we asked participants to try to determ= ine the gender of the other participants= in their virtual environments.
------=_NextPart_01C42787.07941530 Content-Location: file:///C:/EF8AB227/Turing_files/slide0023.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" He or a She? Nonverbal Gender Detection in Immersive Virtual Environments
This research was supported by the following grant:  NSF ITR Award IIS 0205740<= ![endif]>
Introduction: Turing Test
oInspir= ed by the original paradigm Turing (1950) used in his
formulation of what is now ref= erred to as:
n“The new form of the problem can be describe= d in terms of a game which= we call the ‘imitation game.’ It is played with three people, a <= /span>man (A), a woman (B), and an interrogator (C) who = may be of either sex. The interrogator stays in a room apart from the other two. The object of the game for the interrogator i= s to determine which of the othe= r two is the man and which is the woman. He knows them by labels X and Y, and at the end of th= e game he says either ‘X i= s A and Y is B’ or ‘X is B and Y is A.’ The interrogator is = allowed to put questions to A and B”.
------=_NextPart_01C42787.07941530 Content-Location: file:///C:/EF8AB227/Turing_files/slide0014.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" He or a She? Nonverbal Gender Detection in Immersive Virtual Environments
This research was supported by the following grant:  NSF ITR Award IIS 0205740<= ![endif]>
Predictions
oWe predicted that:
nMeaningful information such as gender could be transmitted non-verbally in IVET
nIndividuals would be able to detect gender from other’s head movements, particularly when instructed to= transmit their gender to the individuals they interacted with.
nWomen would be more accurate than men because women are more adept at decoding non-verbal cues (Rosenthal & DePaulo, 1979)
n
------=_NextPart_01C42787.07941530 Content-Location: file:///C:/EF8AB227/Turing_files/slide0005.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" He or a She? Nonverbal Gender Detection in Immersive Virtual Environments
This research was supported by the following grant:  NSF ITR Award IIS 0205740<= ![endif]>
Method
oParticipants were 32 (16 male, 16 fem= ale) undergraduates who were run in groups of 4.
oParticipants were told that the purpo= se of the study was to examine non-verbal communication in virtual environments.
nThey were additionally asked to inter= act with other participants via only head movements.
oThere were three phases of the study:=
nbaseline data were gathered (2 trials= ).
nparticipants were asked to determine = the gender of the other participants (12 trials).
nparticipants were asked to determine = the gender of the other participants as well as try to convey their own gender to the other participants (12 trials).
------=_NextPart_01C42787.07941530 Content-Location: file:///C:/EF8AB227/Turing_files/slide0015.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" He or a She? Nonverbal Gender Detection in Immersive Virtual Environments
This research was supported by the following grant:  NSF ITR Award IIS 0205740<= ![endif]>
Method
oThe location of the individuals in the virtual world varied across trials.
oOnce in the virtual world, participants appeared t= o each other as an identical gender n= eutral avatars.
oRegardless of participant sex, each participant saw avatars representing one = real male and one real female.
oThus, participants interacted with two other indiv= iduals per session but not a= ll participants in each session interacted with each other.
oSee Figure 1 for a screen shot of the virtual world.
oSee Figure 2 for the lay out of the experiment.
------=_NextPart_01C42787.07941530 Content-Location: file:///C:/EF8AB227/Turing_files/slide0011.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" He or a She? Nonverbal Gender Detection in Immersive Virtual Environments
This research was supported by the following grant:  NSF ITR Award IIS 0205740<= ![endif]>
Method
oThe following dependent measures were assessed: &#= 13;
nGender selection (collapsed across block)
nAfter each trial, participants were asked to select:
owho looked at them more
owho had the most abrupt head movements =
owho they liked more
nAt the end of the experiment, participants completed:
oPersonal Attributes Questionnaire (Spence & Helmreich, 1978)
oA measure of gender identification scale
oA manipulation check to assess whether participants actually <= span style=3D'position:absolute;top:84.25%;left:17.22%;width:76.96%;height:4.5%= '>believed they were interacting with other real humans
o
------=_NextPart_01C42787.07941530 Content-Location: file:///C:/EF8AB227/Turing_files/slide0006.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" He or a She? Nonverbal Gender Detection in Immersive Virtual Environments
This research was supported by the following grant:  NSF ITR Award IIS 0205740<= ![endif]>
Results: Accuracy in Gender Determi= nation
oThere were no gender differences in a= ccuracy of dete= rmining gender. There were no groups of participants who together were more accurate than = other groups.
oAccuracy averaged over the trials is = as follows:
n% correct selection of male/female:&#= 13;
obaseline: 46%, n. s.
ofirst block (detect gender only): 53%, n. s.
osecond block (detect and transmit gen= der): 64% t (27) =3D 2.83, p<= /span> < .01.
nSee Figure 3.
------=_NextPart_01C42787.07941530 Content-Location: file:///C:/EF8AB227/Turing_files/slide0013.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" He or a She? Nonverbal Gender Detection in Immersive Virtual Environments
This research was supported by the following grant:  NSF ITR Award IIS 0205740<= ![endif]>
Results: Adjusting for detecting but not properly encoding the signal
oAdjustment for picking up on a signal= but incorrectly encoding it.
nThe accuracy was rescaled to make the= range from –0.50 to +0.50 with the chance/mid-point at zero, took the absolute va= lue of each accuracy score on this new scale and looked to see if overall they differed significantly from chance:
n% correct selection of male/female:&#= 13;
obaseline: 3%, n. s.
ofirst block: 18%, t (31) =3D 6.22, p < .001.=
osecond block: 22%, t (27) =3D 6.25, p < .001.=
nSee Figure 4.
nThese results suggest that some parti= cipants did detect a difference in head movements but encoded it the wrong way. <= /span>
o
------=_NextPart_01C42787.07941530 Content-Location: file:///C:/EF8AB227/Turing_files/slide0012.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii"