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Utilising motion capture technology to identify trusted testimony in military encounters

Research output: Contribution to conference - Without ISBN/ISSN Posterpeer-review

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Utilising motion capture technology to identify trusted testimony in military encounters. / Watson, Steven James; Conchie, Stacey Michelle; Taylor, Paul Jonathon et al.
2016. Poster session presented at BPS Military Psychology Conference, Basingstoke, United Kingdom.

Research output: Contribution to conference - Without ISBN/ISSN Posterpeer-review

Harvard

Watson, SJ, Conchie, SM, Taylor, PJ & Poppe, R 2016, 'Utilising motion capture technology to identify trusted testimony in military encounters', BPS Military Psychology Conference, Basingstoke, United Kingdom, 2/11/16 - 2/11/16.

APA

Watson, S. J., Conchie, S. M., Taylor, P. J., & Poppe, R. (2016). Utilising motion capture technology to identify trusted testimony in military encounters. Poster session presented at BPS Military Psychology Conference, Basingstoke, United Kingdom.

Vancouver

Watson SJ, Conchie SM, Taylor PJ, Poppe R. Utilising motion capture technology to identify trusted testimony in military encounters. 2016. Poster session presented at BPS Military Psychology Conference, Basingstoke, United Kingdom.

Author

Bibtex

@conference{17a3dd183a7947feb7bd4b4c240a03a1,
title = "Utilising motion capture technology to identify trusted testimony in military encounters",
abstract = "Objectives:We use motion capture technology to examine whether or not soldiers unconsciously act differently toward untrustworthy interlocutors.Design:Participants interviewed six {\textquoteleft}citizens{\textquoteright} (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{\textquoteright} 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.",
author = "Watson, {Steven James} and Conchie, {Stacey Michelle} and Taylor, {Paul Jonathon} and Ronald Poppe",
year = "2016",
month = nov,
day = "2",
language = "English",
note = "BPS Military Psychology Conference : Defence and security ; Conference date: 02-11-2016 Through 02-11-2016",

}

RIS

TY - CONF

T1 - Utilising motion capture technology to identify trusted testimony in military encounters

AU - Watson, Steven James

AU - Conchie, Stacey Michelle

AU - Taylor, Paul Jonathon

AU - Poppe, Ronald

PY - 2016/11/2

Y1 - 2016/11/2

N2 - 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.

AB - 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.

M3 - Poster

T2 - BPS Military Psychology Conference

Y2 - 2 November 2016 through 2 November 2016

ER -