{"data":{"id":"10.6084/m9.figshare.3100120.v2","type":"dois","attributes":{"doi":"10.6084/m9.figshare.3100120.v2","prefix":"10.6084","suffix":"m9.figshare.3100120.v2","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Kreysa, Helene","nameType":"Personal","givenName":"Helene","familyName":"Kreysa","affiliation":[],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-7163-7023","nameIdentifierScheme":"ORCID"}]},{"name":"Kessler, Luise","nameType":"Personal","givenName":"Luise","familyName":"Kessler","affiliation":[],"nameIdentifiers":[]},{"name":"Schweinberger, Stefan R.","nameType":"Personal","givenName":"Stefan R.","familyName":"Schweinberger","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Speaker Gaze and Perceived Trustworthiness"}],"publisher":"figshare","container":{},"publicationYear":2016,"subjects":[{"subject":"179999 Psychology and Cognitive Sciences not elsewhere classified","subjectScheme":"FOR"},{"subject":"FOS: Psychology","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Psychology","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"170110 Psychological Methodology, Design and Analysis","subjectScheme":"FOR"}],"contributors":[],"dates":[{"date":"2016-07-08","dateType":"Created"},{"date":"2016-07-08","dateType":"Updated"},{"date":"2016","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsPreviousVersionOf","relatedIdentifier":"10.6084/m9.figshare.3100120","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["6719533 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"The data and supplementary materials presented here form the basis of our paper \u003cb\u003e\"Direct Speaker Gaze Increases Perceived Trustworthiness in Judging Truth-Ambiguous Statements\" (\u003ci\u003eH. Kreysa, L. Kessler, \u0026amp; S.R. Schweinberger, submitted to PlosONE, July 2016\u003c/i\u003e).\u003cbr\u003e\u003c/b\u003e\u003cbr\u003eAs described in the manuscript (available on request), 35 student participants indicated by button press whether or not they believed a truth-ambiguous statement, uttered by a speaker in one of 36 short video clips. Importantly, the speaker sometimes looked directly into the camera, at other times she averted her gaze.\u003cb\u003e\u003cbr\u003e\u003cbr\u003e1. Data\u003cbr\u003eWe present four datasets as tab-delimited text:\u003cbr\u003e\u003cbr\u003e1.1. Gaze_RESPrts.txt \u003c/b\u003e(responses and RTs for main experiment), with the following variables:\u003cbr\u003e- SubjectCode (N = 35)\u003cbr\u003e- Video (.avi)\u003cbr\u003e- Item (N = 36)\u003cbr\u003e- RT from response screen in ms\u003cbr\u003e- Response (yes/no)\u003cbr\u003e- Orientation (direct gaze / averted right / averted left)\u003cb\u003e\u003cbr\u003e\u003cbr\u003e1.2 Audioonly_RESPrts.txt \u003c/b\u003e(responses and RTs for control experiment), with the following variables:\u003cbr\u003e- SubjectCode (N = 37)\u003cbr\u003e- Audio (.wav)\u003cbr\u003e- Item (N = 36)\u003cbr\u003e- RT from response screen in ms\u003cbr\u003e- Response (yes/no)\u003cbr\u003e- Orientation_original (direct gaze / averted)\u003cb\u003e\u003cbr\u003e\u003cbr\u003e1.3 Gaze_ratings.txt \u003c/b\u003e(post-experimental ratings of the speaker's attributes, main experiment), with the following variables:\u003cbr\u003e- SubjectCode (N = 35)\u003cbr\u003e- Attribute (6 levels)\u003cbr\u003e- Rating-recoded (1: lowest - 6: highest)\u003cbr\u003e- Response_time\u003cbr\u003e- Rating_trial (6 per participant)\u003cbr\u003e- Num.yes (number of yes-responses in main experiment per participant, out of 36)\u003cb\u003e\u003cbr\u003e\u003cbr\u003e1.4 Gaze_fixations.txt\u003c/b\u003e (total fixation time to each AoI during video presentation), with the following variables:\u003cbr\u003e- SubjectCode (N = 35)\u003cbr\u003e- Video (.avi)\u003cbr\u003e- AoI (Area of Interest assigned in SMI BeGaze, see attached example image \"AOIs.bmp\": eyes, bottomright, bottomleft, topright, topleft, whitespace)\u003cbr\u003e- Fixtime (total fixation time per region)\u003cbr\u003eEye movements were recorded using an SMI iViewX Hi-Speed 500 tracker, and fixation events were extracted for each participant using SMI BeGaze (v. 3.4.52).\u003cbr\u003e\u003cbr\u003e\u003cb\u003e2. Stimulus examples\u003c/b\u003e\u003cbr\u003eTwo videos, one with direct gaze (1_Hund_direct.avi) and one with with averted gaze (mirrored to create right-averted gaze: 1_Hund_right.avi)\u003cbr\u003e\u003cb\u003e\u003cbr\u003e3. Further Material\u003c/b\u003e\u003cbr\u003e- \u003cb\u003eAOIs.bmp\u003c/b\u003e: image showing assignment of areas of interest on the videos\u003cbr\u003e- \u003cb\u003eHK_Poster_gaze\u0026amp;trust_PPRU2015.pdf\u003c/b\u003e: poster presented at the XIth Workshop of the Person Perception Research Unit, Jena, Germany (Workshop XI (April, 9-10, 2015): “Human Communication: From Person Perception to Social Action”)\u003cbr\u003e\u003cbr\u003ePlease email me if you require any further information (helene.kreysa@uni-jena.de).\u003cbr\u003e\u003cbr\u003e","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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