Implicit Relational Assessment Procedure and Q Methodology: Measurement of Choice Behavior and Sensitivity to Partner Error In An Analog Work Setting
Loading...
Authors
Olla, Rita
Issue Date
2025
Type
Dissertation
Language
en_US
Keywords
Choice behavior , Implicit Relational Assessment Procedure , IRAP , Q methodology , Responsiveness to errors
Alternative Title
Abstract
High Reliability Organizations (HROs) in healthcare, oil extraction, and aviation require adaptability to changing conditions where appropriate responses can prevent catastrophic failures resulting in casualties and environmental damage. Integrating artificial intelligence (AI) systems can enhance HRO teamwork efficiency when properly implemented. This study investigated how individuals' history of interaction with AI or human partners influences their choices between these partners in collaborative work contexts. Using a behavior analytic framework that considers individual history as one of the factors affecting current choice behavior, we examined whether participants' history-measured by the Implicit Relational Assessment Procedure (IRAP) and Q methodology-could predict partner selection and responsiveness to errors. Through a simulated healthcare task, participants made choices between AI and human partners for assistance in a recurring manner. Findings demonstrated that IRAP and Q tools successfully identified aspects of participants' history that corresponded with their partner choice behavior. Participants showed lower switching rates after errors from their preferred partner type, indicating persistent choice patterns despite partner's performance errors. These results may provide value adding guidance for HROs seeking to optimize human-AI collaboration. Moreover, understanding how people's history relates to partner selection and error responsiveness can inform organizational interventions and team composition strategies.