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This research examines how suspects attempt to influence interviewers during investigative interviews. Twenty-nine interview transcripts with suspects accused of controlling or coercive behavior within intimate relationships were submitted to a thematic analysis to build a taxonomy of influence behavior. The analysis classified 18 unique suspect behaviors: the most common behaviors were using logical arguments (17% of all observed behaviors), denial or denigration of the victim (12%), denial or minimization of injury (8%), complete denials (7%), and supplication (6%). Suspects’ influence behaviors were mapped along two dimensions: power, ranging from low (behaviors used to alleviate investigative pressure) to high (behaviors used to assert authority), and interpersonal alignment, ranging from instrumental (behaviors that relate directly to evidence) to relational (behaviors used to bias interviewer perceptions of people and evidence). Proximity analysis was used to examine co-occurrence of influence behaviors. This analysis highlighted combinations of influence behaviors that illustrate how different behaviors map onto different motives, for example shifting attributions from internal to external to the suspect, or to use admissions strategically alongside denials to mitigate more serious aspects of an allegation. Our findings draw together current theory to provide a framework for understanding suspect influence behaviors in interviews.

This research examines how suspects attempt to influence interviewers during investigative interviews. Twenty-nine interview transcripts with suspects accused of controlling or coercive behavior within intimate relationships were submitted to a thematic analysis to build a taxonomy of influence behavior. The analysis classified 18 unique suspect behaviors: the most common behaviors were using logical arguments (17% of all observed behaviors), denial or denigration of the victim (12%), denial or minimization of injury (8%), complete denials (7%), and supplication (6%). Suspects’ influence behaviors were mapped along two dimensions: power, ranging from low (behaviors used to alleviate investigative pressure) to high (behaviors used to assert authority), and interpersonal alignment, ranging from instrumental (behaviors that relate directly to evidence) to relational (behaviors used to bias interviewer perceptions of people and evidence). Proximity analysis was used to examine co-occurrence of influence behaviors. This analysis highlighted combinations of influence behaviors that illustrate how different behaviors map onto different motives, for example shifting attributions from internal to external to the suspect, or to use admissions strategically alongside denials to mitigate more serious aspects of an allegation. Our findings draw together current theory to provide a framework for understanding suspect influence behaviors in interviews.

Unlawful digital media sharing is common and believed to be extremely damaging to business. Understanding unlawful file sharers' motivations offers the opportunity to develop business models and behavioral interventions to maximize consumers' and businesses’ benefit. This paper uses a systematic review of unlawful file sharing research, and the Theory of Planned Behavior, to motivate a large-scale panel study in which initial determinants were used to predict subsequent behavior. A meta-analysis found Attitudes, Subjective Norms and Perceived Behavioral Control were all associated with unlawful file sharing. Media type and demographic differences in the importance of Perceived Behavioral Control were found and attributed to more accurate evaluation of familiar activities, i.e., greater experience increases the influence of Perceived Behavioral Control but age does not. The panel study confirmed that greater past experience was associated with Perceived Behavioral Control and Intention. We conclude that past experience increases the efficacy of the Theory of Planned Behavior and specifically Perceived Behavioral control in predicting behavior, contrary to some widely held beliefs about the role of experience. The role of experience is therefore crucial to understanding people's choices. Practically, improving social approval, positive evaluation and access to lawful media should reduce unlawful behavior.

Unlawful digital media sharing is common and believed to be extremely damaging to business. Understanding unlawful file sharers' motivations offers the opportunity to develop business models and behavioral interventions to maximize consumers' and businesses’ benefit. This paper uses a systematic review of unlawful file sharing research, and the Theory of Planned Behavior, to motivate a large-scale panel study in which initial determinants were used to predict subsequent behavior. A meta-analysis found Attitudes, Subjective Norms and Perceived Behavioral Control were all associated with unlawful file sharing. Media type and demographic differences in the importance of Perceived Behavioral Control were found and attributed to more accurate evaluation of familiar activities, i.e., greater experience increases the influence of Perceived Behavioral Control but age does not. The panel study confirmed that greater past experience was associated with Perceived Behavioral Control and Intention. We conclude that past experience increases the efficacy of the Theory of Planned Behavior and specifically Perceived Behavioral control in predicting behavior, contrary to some widely held beliefs about the role of experience. The role of experience is therefore crucial to understanding people's choices. Practically, improving social approval, positive evaluation and access to lawful media should reduce unlawful behavior.