Can Structured Analytic Techniques enhance Intelligence, Surveillance, and Reconnaissance (ISR) Assessments when providing Incremental Information
Abstract
Structured Analytic Techniques (SATs) have been incorporated within academia over the past several decades in an effort to enhance decision-making outcomes. Although, little research has focused on the effect of SATs within an operational environment such as Intelligence, Surveillance, and Reconnaissance (ISR) Mission Sets. The objective of this study was to evaluate the effectiveness of SATs when providing a vague narrative to human operators. Differences in response accuracy were investigate when a SAT was coupled with a narrative based on two different information workflow methodologies (i.e., complete narrative all at once or the narrative divided into incremental sections). Moreover, six groups of 25 participants each (N=150) were randomly assigned to one of three analytic techniques and provided a narrative with all the information all at once or the information provided in incremental sections. The SATs implemented were the Method for Defining Analytical Questions (MDAQ), which was developed in-house by our ISR subject matter experts (SMEs), a Scaffolding approach, and a Control approach. The findings provided evidence that implementing the MDAQ approach when given incremental information significantly improved performance compared to all other group configurations (p<0.05). This discovery will not only support ISR tool development, training exercises, and technology transition but could be beneficial in enhancing human computer interactions and human decision-making across other domains within academia and industry.
Keywords: Structured Analytic Techniques (SATs), Intelligence, Surveillance, and Reconnaissance (ISR), Method for Defining Analytical Questions (MDAQ)
DOI: 10.54941/ahfe1004486
Cite this paper
More from this volume
- Automotive human‒machine interface to use like a peripersonal space through the elbow using vibrotactile stimulation
- Analysis of Physical Readiness for Take-Over in Automated Driving – Approach to Classify Non-Driving Related Activities According to Their Level of Complexity
- Navigating the challenges of remote operations of automated road vehicles: A socio-technical perspective
- Requirements for Haptic Virtual Training Systems in the Automotive Industry
- Olfactory Profile: Enhancing the Satisfaction and Pleasure of Ride-Hailing Experiences
- Exploring External Human Machine Interface Design for Autonomous Vehicle to Pedestrian Communication: Insights from Discussions and Drawing Sessions
- Participants' speed-accuracy trade-off behavior in high-stress situations in simulator studies
- Experimental study on the effect of micro-refresh during office work in VR space to restore intellectual concentration decline
- Cognitive User Modeling for Adaptivity in Serious Games
- Cognitive Systems Challenges of Virtual Reality (VR) and Simulated Air Traffic Control Environment (SATCE) in Flight Training: The Purdue Case Study
- First Probe into Frontal EEG Dynamic Cross-Entropy associated with Virtual Sexual Content
- The Neural Algebra and its Impact on Design and Test of Intelligent Systems


AHFE Open Access