Exploring essential skills of CCTV operators: the role of sensitivity to nonverbal cues

Similar documents
Potential applications of affective computing in the surveillance work of CCTV operators

CCTV as an automated sensor for firearms detection: human-derived performance as a precursor to automatic recognition

The detection of concealed firearm carrying trough CCTV: the role of affect recognition

Valence and Gender Effects on Emotion Recognition Following TBI. Cassie Brown Arizona State University

Human sex differences in social and non-social looking preferences, at 12 months of age

Detection of terrorist threats in air passenger luggage: expertise development

Gender Differences in Nonverbal, Interpersonal Sensitivity. Across Three Cultures: Japan, India, and the United States

Sex differences in emotion recognition by observing body movements: A case of American students

University of Huddersfield Repository

The emerging cannabis treatment population

Eye tracking and eyewitness memory.

Face and Tone of Voice in the Communication of Deception

Proposed EU physical agents directives on noise and vibration

Children's fitness testing: feasibility study summary

Deception Detection Accuracy Using Verbal or Nonverbal Cues

Description and explanation of the major themes of The Curious Incident of the Dog in the other people, dealing with new environments, and making

TooManyEyes: Super-recogniser directed identification of target individuals on CCTV

The relationship between real life breast screening and an annual self assessment scheme

Running head: FACIAL EXPRESSION AND SKIN COLOR ON APPROACHABILITY 1. Influence of facial expression and skin color on approachability judgment

Correlating Trust with Signal Detection Theory Measures in a Hybrid Inspection System

Biologically-Inspired Human Motion Detection

Evaluating the emotional content of human motions on real and virtual characters

What is Emotion? Emotion is a 4 part process consisting of: physiological arousal cognitive interpretation, subjective feelings behavioral expression.

This version was downloaded from Northumbria Research Link:

B542. PSYCHOLOGY Studies and Applications in Psychology 2 GENERAL CERTIFICATE OF SECONDARY EDUCATION. Friday 20 May 2011 Morning

Conduct priority and volume investigations (CI101) OCR unit number: 500/8021/0 Level: 3 Credit value: 5 Guided learning hours: 50

Durham Research Online

Channel Dominance in Decoding Affective Nonverbal Behavior Displayed by Avatars 1. What You See is What You Get:

Journal of Experimental Child Psychology

Recognising Emotions from Keyboard Stroke Pattern

Improving health and social care environments for people with dementia [Powerpoint presentation]

Defining activities of daily living for the design of dementia care environments

Myers Psychology for AP, 2e

Mammographic interpretation training: how useful is handheld technology?

THIS IS A NEW SPECIFICATION

Breast screening: understanding case difficulty and the nature of errors

Mental Illness and Gun Violence: A Risk-Based Approach

Statistical Analysis of Visual Attentional Patterns for Video Surveillance

PSYCHOLOGICAL SCIENCE. Research Article

Temporal Context and the Recognition of Emotion from Facial Expression

APA STANDARDS OF PRACTICE (Effective October 10, 2017)

An exploration of autistic children s ability to recognise emotions in single word and sentence language conditions

Emergency sanitation: assessment and programme design

APA STANDARDS OF PRACTICE (Effective September 1, 2015)

SAMPLE. Autism Spectrum Rating Scales (6-18 Years) Teacher Ratings. Interpretive Report. By Sam Goldstein, Ph.D. & Jack A. Naglieri, Ph.D.

Social Communication in young adults with autism spectrum disorders (ASD) Eniola Lahanmi

Psychology Perception

The effect of lineup member similarity on recognition accuracy in simultaneous and sequential lineups.

Telling Lies: The Irrepressible Truth? Emma J. Williams, Lewis A. Bott, Michael B. Lewis and John Patrick. School of Psychology, Cardiff University

PERCEPTION and COMMUNICATION. Week 2

MY RIGHT I: DECEPTION DETECTION AND HEMISPHERIC DIFFERENCES IN SELF-AWARENESS

Facial Expression Biometrics Using Tracker Displacement Features

Non-verbal Cues of Dutch Soccer Players After a Match

A Review of The Polygraph: History, Current Status and Emerging Research

Accessible Computing Research for Users who are Deaf and Hard of Hearing (DHH)

PREVIEW VERSION. Beyond Words for HealthCare TM. Discussion Guide. Produced by: Interskil 1000 Heritage Center Round Rock, TX 78664

Audiovisual to Sign Language Translator

How to Spot a Liar. Reading Practice

Thursday 8 June 2017 Afternoon

Achieving effective remote participation using videoconferencing technology

PÀ ÁðlPÀ gádå G À Áå ÀPÀgÀ CºÀðvÁ ÀjÃPÉë (PÉ- Émï) KARNATAKA STATE ELIGIBILITY TEST (K-SET) FOR LECTUERSHIP

Overview. Basic concepts Theories of emotion Universality of emotions Brain basis of emotions Applied research: microexpressions

Brain and Cognition, 48(2-3), (2002) Evaluation of nonverbal emotion in face and voice: some preliminary findings on a new battery of tests

Positive emotion expands visual attention...or maybe not...

A Study on Aging Group s Color Association with the Categories of the Commodities

Deception and its detection - A brief overview

GCE. Psychology. Mark Scheme for January Advanced Subsidiary GCE Unit G541: Psychological Investigations. Oxford Cambridge and RSA Examinations

Video Captioning Basics

A Matrix of Material Representation

Recognition and Understanding of Emotions in Persons with Mild to Moderate Mental Retardation

THE DEVELOPMENT OF EMOTIONALPERSPECTIVE-TAKING IN DEAF CHILDREN: A COMPARISON OF NON-VERBAL AND VERBAL TASKS. Japan

Usage of any items from the University of Cumbria s institutional repository Insight must conform to the following fair usage guidelines.

Healing Strides. Jeremiah Dye, Rachel Ford, Shelby Koch, Carrie Phillips, and Carrie Rutledge RCPT /18/2014

THIS IS A NEW SPECIFICATION

Secret Intelligence Service Room No. 15. Telling Lies: The Irrepressible Truth?

SENG 412: Ergonomics. Announcement. Readings required for exam. Types of exam questions. Visual sensory system

Elements of Communication

Outline. Emotion. Emotions According to Darwin. Emotions: Information Processing 10/8/2012

Development of the Web Users Self Efficacy scale (WUSE)

Emotion. I. Mood vs. Affect/emotion

Algorithm for Analysis of Emotion Using Body Language

Study objective. Study design. facial features used in products

Emotions and Deception Detection Skills

A Review of Applied Techniques of the Detection of Criminal Deceit

Formats for Section Safety Messages in Printed Manuals

Mental Health Awareness Training for Prison Officers: Evaluation of a Training Video

Safety and Health Sign Colors and Signal Words for Communicating Information on Likelihood and Imminence of Threat

Micro-coding of communication behaviours in the OSCE. Dr Peter Leadbetter

AL S BOOK CLUB. October The Charisma Myth How Anyone Can Master the Art and Science of Personal Magnetism by Olivia Fox Cabane

Iris Blandón-Gitlin, PhD Associate Professor of Psychology

Autism and Offending. Dr Jana de Villiers Consultant Psychiatrist for the Fife Forensic Learning Disability Service 28 November 2016

Communication (Journal)

COM100 Effective Business Communication Session 6, Verbal and non-verbal communication

Measuring Nonverbal Bias Through Body Language Responses to Stereotypes

Alzheimers New Zealand

Engaging the public to prevent online child sexual abuse - IIOC Deterrence Campaign

Emotion Recognition using a Cauchy Naive Bayes Classifier

Emotion, History Notes

Background ET Hall. Introduction to Context

SECTION C: PSYCHOLOGICAL RESEARCH AND SCIENTIFIC METHOD. You should answer all parts of this question.

Transcription:

Loughborough University Institutional Repository Exploring essential skills of CCTV operators: the role of sensitivity to nonverbal cues This item was submitted to Loughborough University's Institutional Repository by the/an author. Citation: BLECHKO, A., DARKER, I.T. and GALE, A.G., 2008. Exploring essential skills of CCTV operators: the role of sensitivity to nonverbal cues. IN: Bust, Phillip D. (ed). Contemporary Ergonomics 2008, Proceedings of the International Conference on Contemporary Ergonomics. CE2008, Nottingham, UK, 1st-3rd April, pp. 145-150. Additional Information: This is a conference paper. Metadata Record: https://dspace.lboro.ac.uk/2134/5933 Version: Accepted for publication Publisher: c Taylor & Francis Please cite the published version.

This item was submitted to Loughborough s Institutional Repository (https://dspace.lboro.ac.uk/) by the author and is made available under the following Creative Commons Licence conditions. For the full text of this licence, please go to: http://creativecommons.org/licenses/by-nc-nd/2.5/

EXPLORING ESSENTIAL SKILLS OF CCTV OPERATORS: THE ROLE OF SENSITIVITY TO NON-VERBAL CUES Anastassia Blechko, Iain Darker, Alastair Gale Applied Vision Research Centre Loughborough University Loughborough LE11 3UZ The aim of the present research is to investigate the importance of individual differences in the recognition of emotional state from non-verbal, visual cues in relation to the work of CCTV operators. An experiment was conducted to determine whether the detection of a gun carrier can be predicted on the basis of an observer s ability to recognize emotion conveyed by non-verbal, visual cues. There was a relationship between the emotional state reported by an individual whilst carrying a firearm and the extent to which an observer was ability to determine whether or not this individual was carrying a gun. It was also found that observers with a high ability to recognize emotion from facial expressions were able to spot a gun carrier more accurately than observers with a low ability in this respect. This small-scale pilot study requires replication with a larger number of participants and real CCTV images. Introduction The selection of good Closed Circuit Television (CCTV) operators is essential for effective CCTV system functioning (Donald, 1999). Through dialogue with operators and their managers in several control rooms in the UK it has been indicated that good performance amongst CCTV operators depends not only on proper training but also on the innate abilities of candidates. However, there is little empirical research to support this assertion. Previous research involving those convicted under the UK firearms act indicates that carrying a firearm evokes an emotional response in an offender (Hales, Lewis, and Silverstone, 2006). It is possible that the ability of operators to perceive this emotional response will predict their performance in spotting armed criminals. This ability might be based on body language analysis and particularly on an understanding of emotional state derived from non-verbal, visual cues. The ability to recognize accurately emotional expressions transmitted by others through their non-verbal behaviour (e.g. from facial expressions and gait) has been widely studied in experimental psychology (e.g. Ekman, and Friesen, 1969; Montepare, Goldstein, and Clausen, 1987; Atkinson, Dittrich, Gemmell, A.J., Young, 2004). However, little applied research has been done on this topic with respect to the work of CCTV operators. The aim of the present research is to investigate the importance of individual differences in sensitivity to non-verbal cues and the ability to recognize emotions from these cues for a better understanding of the performance of CCTV operators. An experiment has been conducted to determine whether the detection of a gun carrier can be

predicted on the basis of an observer s ability to recognise emotions from non-verbal, visual cues. Specifically, it is hypothesised that those who are better able to recognise emotional state on the basis of facial and bodily cues will be better able to detect concealed and unconcealed firearms in CCTV footage Experiment The experiment was designed to examine the relationship between an observer s sensitivity to non-verbal, visual cues relating to emotional state and their ability to detect a gun carrier. Further, the possible relationship between the self-reported emotional state scores of guncarriers, and the ability of observers to recognize that gun carrier was investigated. Method Firstly, idealised, staged CCTV video footage of twelve males, each carrying either a firearm or a matched innocuous object, was generated. The firearm and matched innocuous objects were either carried in plain view or they were carried concealed on the person (Figure 1). Whilst the footage was filmed, the potentially differing influences on affect of carrying a firearm and carrying an innocuous object were assessed. Seventy-two clips of people carrying firearms were and 216 clips of people carrying an innocuous object were generated (half unconcealed and half concealed).for each type of object (firearm or innocuous) half the clips featured an unconcealed object and half featured a concealed object. See Darker, Gale, and Blechko (forthcoming) for a complete description of this aspect of the experiment. Figure 1. Examples of still images of the idealised footage (A walking with a concealed firearm; B walking with an unconcealed firearm; C walking with a concealed two-litre bottle; D walking with an unconcealed two-litre bottle)

Subsequently, eight staff members from Loughborough University (6 female and 2 male) volunteered to participate in the study relating to an observer s ability to detect a person who is carrying a firearm. The experiment took place over two sessions. In the first, participants were administered the Face and Body PONS test, which is a shortened version of the full PONS test (Rosenthal, Hall, DiMatteo, Rogers, and Archer, 1979). The Face and Body PONS test measures the ability to decode non-verbal cues expressed by the face and body. The test consists of video fragments of a young woman acting in different naturalistic, emotional situations. In the present experiment, all audio content was excluded. After viewing each video fragment the participants (i.e. observers ) were required to make a choice between one of two descriptions relating to the emotive content of the clip. Participants were asked to select the description which best described the situation acted out in the fragment. Then each participant viewed the idealized footage of people carrying either a firearm or an innocuous object. In the second part of the experiment participants viewed each clip of idealised footage of people carrying either a firearm or an innocuous object and, after each clip, rated whether or not they thought the person in the clip was carrying a firearm. This is referred to as the Gun Carrier Detection (GCD) task. Results Performance on the PONS test was analysed against two measures: Face PONS test score; Body PONS test score. These scores were used to split the participants into two groups for each of the measures, based on a median split. Thus, for the Face PONS scores a high sensitivity (n = 4) and a low sensitivity (n = 4) group were formed. Similarly, for the Body PONS scores a high sensitivity (n = 4) and a low sensitivity (n = 4) group were formed. Performance on the GCD task was measured in terms of the percentage of true positives (hits: the percentage of times a gun is detected when it is present), false positives (false alarms: the percentage of times a gun was reported, when in fact no gun was present), and the sensitivity parameter da derived from a Signal Detection Theory (SDT) based analysis. On this basis, sensitivity (da) represents the ability of the observer s sensory process to discriminate a target (the gun) from noise (the innocuous object). (For a review of SDT see Harvey, 2001). In order to analyze the influence of concealment and sensitivity to facial and bodily non-verbal cues on the performance of observers two, 2 x 2 mixed ANOVAs were conducted: concealment (concealed, unconcealed) (within subjects) x PONS face group (high sensitivity, low sensitivity) (between subjects); concealment (concealed, unconcealed) (within subjects) x PONS body group (high sensitivity, low sensitivity) (between subjects). The analysis showed a significant main effect for concealment on all dependent variables in both analyses. Participants performed significantly better in the unconcealed condition than in the concealed condition. There was a significant interaction effect found for the Face PONS score and Concealment on da scores (F(1,6) = 7.391, p = 0.035). The group of observers with a high score on the Face PONS test had higher recognition sensitivity than the observers with a low score on the Face PONS test, but this effect was found only in the unconcealed condition. There was no significant effect of Body PONS test on any of the dependent variables, or other main or interaction effects. A Spearman rank correlation test was conducted to explore the relationship

between the ability of observers to recognize correctly a gun carrier and the emotional state scores reported by gun carriers whilst carrying a gun (see Darker et al., forthcoming). The results of the test (Figure 2) showed that there was a positive correlation between the ranked Dysphoria (MAACL-R, Lubin and Zuckerman, 1999) scores of gun carriers and the ranked number of times the actor was correctly identified as a gun carrier (rho = 0.586, n =12, p = 0.045, two-tailed). Ranked number of times the actor was correctly identified as a gun carrier 12.000 10.000 8.000 6.000 4.000 2.000 0.000 2.000 4.000 6.000 8.000 10.000 12.000 Ranked score of a gun carrier on Dysphoria scale Figure 2. Correlation between the ranked score of a gun carrier on the Dysphoria scale and the ranked number of times the participants was correctly identified as a gun carrier in the Gun Carrier Detection task. The current experiment revealed that observers performance was associated with more true positives and fewer false positives when the object (firearm or innocuous) was in view, compared to when it was concealed. In contrast to those in the low sensitivity group for the Face PONS score, observers in the high sensitivity group for the Face PONS score performed significantly better in the detection of a gun carrier than other observers when the gun or innocuous object was not hidden. However, there were no significant differences between these groups when the objects were concealed. The Body PONS score did not influence gun detection performance. General discussion Prior research indicates that firearms induce an emotional response in the bearer and that an observer can detect this affect through non-verbal, visual cues conveyed by the face and body of the person expressing the affect. Therefore, it was hypothesised that those who are better able to recognise emotional state on the basis of facial and bodily non-verbal, visual cues will be better able to detect concealed and unconcealed firearms in CCTV footage. The results of the current study showed that those who are more sensitive to emotional cues conveyed by the face are better able to detect an unconcealed firearm, whilst it appears that differing sensitivities to bodily cues did not influence gun detection performance. Thus, it might be argued that non-verbal, emotional cues conveyed by the face are most useful in detecting the emotion evoked in a gun carrier by the act of carrying a gun. However, the

ability to detect a concealed gun was not influenced by sensitivity to either facial or bodily non-verbal emotional cues. Thus, it is possible that the ability to detect a gun amongst those with high sensitivity to facial, non-verbal emotional cues is not subserved by an ability to decode such cues. However, performance on the unconcealed was at base level, consequently the true significance of this result remains obscured. There is further evidence that the ability to detect a gun carrier is related to the ability to decode visual, emotional cues. Those gun carriers who reported more negative affect on carrying a gun were most likely to be successfully recognised as carrying a gun. Thus, the present study provides an initial indication that visual, emotional cues conveyed by the face of a person who is carrying a gun can aid in the detection of the gun by a third party observer such as a CCTV operator. Future work will build on this small-scale pilot study to quantify the gun detection abilities of CCTV operators and lay people in relation to their abilities to decode non-verbal, visual emotional cues conveyed by the face and body. It is intended that this work will help inform policy and practice with regard to the recruitment of CCTV operators and the detection of firearms via CCTV. Acknowledgments: This work is a part of the Multi Environment Deployable Universal Software Application (MEDUSA) project which is funded by EPSRC grant number EP/D078830/1. References Atkinson, A.P., Dittrich, W. H., Gemmell, A.J., Young, A.W. (2004). Emotion perception from dynamic and static body expression in point-light and full-light displays. Perception, 33, pp. 717-746. Darker, I.T., Gale, A.G., and Blechko, A. (forthcoming). An affective component to the weapons effect. Donald, C.H.M. (1999). Assessing the Human Vigilance Capacity of Control Room Operators. In: People in Control: An International Conference on Human Interfaces in Control Rooms, Cockpits and Command Centres, Conference Publication No. 463, IEE, pp. 7-11. Ekman, P. and Friesen, W.V. (1969). Nonverbal leakage and clues to deception. Psychiatry, 32, pp. 88 106. Hales, G., Lewis C., and Silverstone D. (2006). Gun crime: the market in and use of illegal firearms. Home Office Research Study 298. Harvey L.O. Jr. (2001). RSCORE 5.3.2'. Department of Psychology, University of Colorado, Boulder, Colorado. Lubin, B. and Zuckerman, M. (1999). Manual for the MAACL-R: Multiple affect adjective check list revised. Educational and Industrial Testing Service, California. Montepare, J.M., Goldstein, S.B., & Clausen, A. (1987). The identification of emotions from gait information. Journal of Nonverbal Behaviour, 11(1), pp. 33-42. Rosenthal, R., Hall, J. A., DiMatteo, M. R., Rogers, P. L., & Archer, D. (1979). Sensitivity to nonverbal communication: The PONS test. Baltimore: Johns Hopkins University Press.