Ignite Creation Date:
2025-12-24 @ 11:33 PM
Ignite Modification Date:
2025-12-25 @ 9:21 PM
Study NCT ID:
NCT04997356
Status:
COMPLETED
Last Update Posted:
2023-12-21
First Post:
2021-07-29
Is NOT Gene Therapy:
False
Has Adverse Events:
False
Brief Title:
Hostile Bias Modification Training (HBMT) Study
Sponsor:
Walter Reed Army Institute of Research (WRAIR)
Organization:
Study Overview
Official Title:
Computer-Based Cognitive Games, Personality, and Behavior Study
Status:
COMPLETED
Status Verified Date:
2023-12
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
The primary objective of the present protocol is to evaluate the effectiveness of real HBMT versus placebo on reducing HAB and aggression.
The secondary objectives of the present protocol are:
1. Investigate the role of individual difference variables on HAB, interpersonal aggression, and effects of HBMT.
2. Collect vocal recording data to inform the development of algorithms to predict emotional stress from changes in speech.
The secondary objectives of the present protocol are:
1. Investigate the role of individual difference variables on HAB, interpersonal aggression, and effects of HBMT.
2. Collect vocal recording data to inform the development of algorithms to predict emotional stress from changes in speech.
Detailed Description:
Aggression refers to causing harm to someone who is motivated to avoid that harm (Anderson \& Bushman, 2002). Many Soldiers report heightened levels of anger and display elevated rates of aggressive behavior following combat deployments (Adler et al., 2011; Jakupcak et al., 2007; Novaco \& Chemtob, 2015; Orth \& Wieland, 2006; Thomas et al., 2010). Treating and addressing anger and aggression in combat Veterans can improve Soldier health as well as promote force readiness and lethality. One key predictor of anger and aggression when responding to the actions of other people is the extent to which the victim believes that the provocateur acted in an intentionally hostile manner (e.g., being shoved on purpose) versus not intending to be hostile (e.g., being shoved by mistake; De Castro, Veerman, Koops, Bosch, \& Monshouwer, 2002). This is called "hostile attributional bias" (HAB). Interpretation and attribution biases toward perceiving threats and danger are elevated in individuals with posttraumatic stress symptoms (Bonyea, Johnson, and Lang, 2017).
In the present study, the investigators test the effectiveness of a computer-based training called Hostile Bias Modification Training (HBMT) to reduce HAB and aggressive behavior in response to an ambiguous provocation (ambiguously hostile comments). Volunteers will complete a real or placebo version of a computer training designed to reduce HAB, then receive and react to either unambiguously hostile or ambiguously hostile feedback. The feedback is in regards to an essay the volunteer was asked to write as part of the study. The investigators predict that receiving the real (vs. placebo) computer training will reduce HAB in response to the ambiguous feedback, but not the unambiguous feedback. Volunteers will then partake in a second computer task, which involves a reaction time competition against the same confederate where the loser receives a penalty in the form of a short, unpleasant, acoustic tone delivered via headphones. The volunteer is told they can set the volume and duration of unpleasant acoustic tones that would be administered to the confederate. Aggression is operationalized as setting higher volumes and/or longer durations for tones. This will allow us to measure how aggressive volunteers are in response to ambiguous provocations and determine if the computer training is effective in reducing aggression to ambiguous provocations and if reduced HAB is the underlying mechanism of this effect. Finally, volunteers will complete a set of personality measures so we can determine if the effects of the computer training are contingent on individual differences. If successful, this research would add validity to a potential intervention to help people suffering from anger and aggression management issues to reduce their symptoms.
The investigators are also using this experiment as an opportunity to collect vocal pattern data to inform the development of algorithms to predict emotional stress from changes in vocal patterns. As such, voice recordings of volunteers reading standardized scripts will be made at three points in the study.
In the present study, the investigators test the effectiveness of a computer-based training called Hostile Bias Modification Training (HBMT) to reduce HAB and aggressive behavior in response to an ambiguous provocation (ambiguously hostile comments). Volunteers will complete a real or placebo version of a computer training designed to reduce HAB, then receive and react to either unambiguously hostile or ambiguously hostile feedback. The feedback is in regards to an essay the volunteer was asked to write as part of the study. The investigators predict that receiving the real (vs. placebo) computer training will reduce HAB in response to the ambiguous feedback, but not the unambiguous feedback. Volunteers will then partake in a second computer task, which involves a reaction time competition against the same confederate where the loser receives a penalty in the form of a short, unpleasant, acoustic tone delivered via headphones. The volunteer is told they can set the volume and duration of unpleasant acoustic tones that would be administered to the confederate. Aggression is operationalized as setting higher volumes and/or longer durations for tones. This will allow us to measure how aggressive volunteers are in response to ambiguous provocations and determine if the computer training is effective in reducing aggression to ambiguous provocations and if reduced HAB is the underlying mechanism of this effect. Finally, volunteers will complete a set of personality measures so we can determine if the effects of the computer training are contingent on individual differences. If successful, this research would add validity to a potential intervention to help people suffering from anger and aggression management issues to reduce their symptoms.
The investigators are also using this experiment as an opportunity to collect vocal pattern data to inform the development of algorithms to predict emotional stress from changes in vocal patterns. As such, voice recordings of volunteers reading standardized scripts will be made at three points in the study.
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: