In many situations, security relies on accurate person identification. At airports, routine person identifications are based on face matching, in which passport officers have to decide whether the face photograph in a presented identity document actually depicts its bearer. This project investigated these person identifications by examining face matching with laboratory paradigms and in virtual reality. Data from a series of studies is provided that describe how to build and validate person avatars for such experimentation in VR and examine the role of different factors in face matching (similarity; moles; mismatch frequency; distractions).
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