Presentation
Shaping Choices: How AI Simplification and Framing Influence Decisions
SessionPoster Session 2
DescriptionThe emergence of Artificial Intelligence (AI) tools offer new possibilities for simplifying complex information helping with decision-making. This study investigates how AI-simplified language and framing effects influence decision-making in scenarios involving novel military operations. Using a 2 (positive vs. negative framing) x 2 (jargon vs. AI-simplified language) between-subjects design, participants will be presented with one of two military scenarios—one involving a high-value target (HVT) and the other addressing improvised explosive device (IED) deactivation. Outcome measures include perceived scenario desirability, compliance, trust in AI, cognitive workload (NASA-TLX). Drawing from prior framing studies (e.g., Tversky & Kahneman, 1986; Levin et al., 1998), we hypothesize that positively framed, AI-translated scenarios will result in higher desirability ratings, increased compliance, and lower cognitive workload compared to negatively framed or jargon-heavy versions. The aim of this research is to inform the design of AI tools that support clear communication and user-centered decision-making aids. It highlights the importance of considering human cognition and the possible use in the design of new technologies.
Event Type
Poster
TimeWednesday, October 15th5:30pm - 6:30pm CDT
LocationRiverside East
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