2004 volume 33(1) pages 87 – 101
doi:10.1068/p3402

Cite as:
Troscianko T, Holmes A, Stillman J, Mirmehdi M, Wright D, Wilson A, 2004, "What happens next? The predictability of natural behaviour viewed through CCTV cameras" Perception 33(1) 87 – 101
Download citation data in RIS format

What happens next? The predictability of natural behaviour viewed through CCTV cameras

Tom Troscianko, Alison Holmes, Jennifer Stillman, Majid Mirmehdi, Daniel Wright, Anna Wilson

Received 1 July 2002, in revised form 15 September 2003

Abstract. Can potentially antisocial or criminal behaviour be predicted? Our study aimed to ascertain (a) whether observers can successfully predict the onset of such behaviour when viewing real recordings from CCTV; (b) where, in the sequence of events, it is possible to make this prediction; and (c) whether there may be a difference between naïve and professional observers. We used 100 sample scenes from UK urban locations. Of these, 18 led to criminal behaviour (fights or vandalism). A further 18 scenes were matched as closely as possible to the crime examples, but did not lead to any crime, and 64 were neutral scenes chosen from a wide variety of noncriminal situations. A signal-detection paradigm was used in conjunction with a 6-point rating scale. Data from fifty naïve and fifty professional observers suggest that (a) observers can distinguishcrime sequences from neutral sequences and from matches; (b) there are key types of behaviour (particularly gestures and body position) that allow predictions to be made; (c) the performance of naïve observers is comparable to that of experts. However, because the experts were predominantly male, the absence of an effect of experience may have been due to gender differences, which were investigated in a subsidiary experiment. The results of experiment 2 leave open the possibility that females perform better than males at such tasks.

This article has supplementary online material: Example video stimuli

Restricted material:

PDF Full-text PDF size: 181 Kb

HTML References  25 references, 10 with DOI links (Crossref)

Your computer (IP address: 184.73.74.47) has not been recognised as being on a network authorised to view the full text or references of this article. If you are a member of a university library that has a subscription to the journal, please contact your serials librarian (subscriptions information).