Interpersonal stance in police interviews: content analysis

  • 3 Citations

Abstract

A serious game for learning the social skills required for effective police interviewing is a challenging idea. Building artificial conversational characters that play the role of a suspect in a police interrogation game requires computational models of police interviews as well as of the internal psychological mechanisms that determine the behaviour of suspects in this special type of dialogues. Leary{\textquoteright}s interactional circumplex is used in police interview training as a theoretical framework to understand how suspects take stance during an interview and how this is related to the stance and the strategy that the interviewer takes. Interactional stance is a fuzzy notion. The question that we consider here is whether different observers of police interviews agree on the type of stance that suspect and policemen take and express in a face-to-face interview. We analyzed police interviews and report about a stance annotation exercise. We conclude that although inter- annotator agreement on stance labeling on the level of speech segments is low, a majority voting {\textquotedblleft}meta-annotator{\textquotedblright} is able to reveal the important dynamics in stance taking in a police interview. Then we explore the relation between the stance taken by the suspect and turn-taking behaviour, overlaps, interruptions, pauses and silences. Our findings contribute to building computational models of non-player characters that allow more natural turn-taking behaviour in serious games instead of the one-at-a-time regime in interview training games.
Original languageUndefined
Pages (from-to)193-216
Number of pages24
JournalComputational linguistics in the Netherlands journal
Volume3
StatePublished - 20 Dec 2013

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interview
police
suspect
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social competence
voting
dialogue
regime
speech
learning
strategy
time

Keywords

  • EWI-24285
  • Content analyis
  • Police Interview
  • Interpersonal stance
  • Turn Taking
  • HMI-HF: Human Factors

Cite this

op den Akker, Hendrikus J.A.; Bruijnes, Merijn; Peters, R.M.; Krikke, T. / Interpersonal stance in police interviews: content analysis.

In: Computational linguistics in the Netherlands journal, Vol. 3, 20.12.2013, p. 193-216.

Research output: Scientific - peer-reviewArticle

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title = "Interpersonal stance in police interviews: content analysis",
abstract = "A serious game for learning the social skills required for effective police interviewing is a challenging idea. Building artificial conversational characters that play the role of a suspect in a police interrogation game requires computational models of police interviews as well as of the internal psychological mechanisms that determine the behaviour of suspects in this special type of dialogues. Leary{\textquoteright}s interactional circumplex is used in police interview training as a theoretical framework to understand how suspects take stance during an interview and how this is related to the stance and the strategy that the interviewer takes. Interactional stance is a fuzzy notion. The question that we consider here is whether different observers of police interviews agree on the type of stance that suspect and policemen take and express in a face-to-face interview. We analyzed police interviews and report about a stance annotation exercise. We conclude that although inter- annotator agreement on stance labeling on the level of speech segments is low, a majority voting {\textquotedblleft}meta-annotator{\textquotedblright} is able to reveal the important dynamics in stance taking in a police interview. Then we explore the relation between the stance taken by the suspect and turn-taking behaviour, overlaps, interruptions, pauses and silences. Our findings contribute to building computational models of non-player characters that allow more natural turn-taking behaviour in serious games instead of the one-at-a-time regime in interview training games.",
keywords = "EWI-24285, Content analyis, Police Interview, Interpersonal stance, Turn Taking, HMI-HF: Human Factors",
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Interpersonal stance in police interviews: content analysis. / op den Akker, Hendrikus J.A.; Bruijnes, Merijn; Peters, R.M.; Krikke, T.

In: Computational linguistics in the Netherlands journal, Vol. 3, 20.12.2013, p. 193-216.

Research output: Scientific - peer-reviewArticle

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