Utilising motion capture technology to identify trusted testimony in military encounters

Watson, Steven James and Conchie, Stacey Michelle and Taylor, Paul Jonathon and Poppe, Ronald (2016) Utilising motion capture technology to identify trusted testimony in military encounters. In: BPS Military Psychology Conference, 2016-11-022016-11-02, Ark conference centre.

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Abstract

Objectives:We use motion capture technology to examine whether or not soldiers unconsciously act differently toward untrustworthy interlocutors.Design:Participants interviewed six ‘citizens’ (confederates) about an illegal activity on a military base. We varied citizen trustworthiness by cooperativeness (either cooperative or non-cooperative) and knowledge (either genuine, absent, or false). Methods:Forty University students wore an Xsens motion capture suit while interviewing the citizens, after which they made explicit trust judgments. Movement data were submitted to a linear mixed effects model with cooperation and knowledge as repeated measures, and interview order as a random effect. Results:Greater overall body movement differentiated non-cooperative citizens from their counterparts, F(1, 1363.5) = 33.86, p < .001, and citizens with no knowledge from those with knowledge, F(1, 1363.1) = 3.01, p < .05. Participants’ explicit judgements only identified those who were uncooperative. Conclusions:Interviewers could not judge whether an uncooperative citizen had valuable information, yet they reacted differently to those with valuable knowledge. Thus, using small-scale motion tracking sensors enables interviewers to identify uncooperative citizens concealing valuable information from other innocent, though not necessarily cooperative, citizens. Furthermore, monitoring nonverbal behaviour may be more effective at identifying threat than explicit judgments that rely on conscious awareness.

Item Type:
Contribution to Conference (Poster)
Journal or Publication Title:
BPS Military Psychology Conference
ID Code:
82717
Deposited By:
Deposited On:
08 Nov 2016 11:40
Refereed?:
Yes
Published?:
Published
Last Modified:
22 Sep 2020 00:17