32 21 99 2 407 document 99 DataBORDaR.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 8bcc57f908b38be8ca202cfc1aaa42bb MD5 496754 2019-02-07 00:04:23 https://bordar.bournemouth.ac.uk/32/1/DataBORDaR.xlsx 32 1 1 application/vnd.openxmlformats-officedocument.spreadsheetml.sheet spreadsheet en public cc_by_nd_4

DataBORDaR.xlsx

full_archive archive 1686 disk0/00/00/00/32 2019-02-18 14:41:33 2021-09-13 08:39:43 2019-02-18 14:41:33 data_collection show Hills P J phills@bournemouth.ac.uk Mukudi Priscilla i7620463@bournemouth.ac.uk pub facsci own-ethnicity bias; own-gender bias; own-age bias; own-group bias; face recognition; additive effects Data for a study investigating the own-group biases in face recognition. Abstract Whether the own-group (own-ethnicity, own-gender, and own-age) biases in face recognition are based on the same mechanism and whether their effects are additive or not are as yet unanswered questions. Employing a standard old/new recognition paradigm, we investigated the combined crossover effects of the own-ethnicity, own-gender, and own-age biases in a group of 160 participants. Result showed that while face recognition accuracy decreased as the number of out-group features increased, the own-ethnicity bias appeared to have more of a unique influence on face recognition than the other biases. Furthermore, we established that in a single group of participants, these biases appear to be based on different mechanisms: the own-ethnicity bias is based on individuation whereas the own-age and own-gender biases are based on motivation. 2019-02-18 published https://www.sciencedirect.com/science/article/pii/S0001691818304591 Database bordar@bournemouth.ac.uk Hills Peter phills@bournemouth.ac.uk Experimental methods - collected using OpenSesame 2017-09 2018-09