A 14-code content model for local post-hoc AI explanations, derived from 325 user statements and validated by experts with high reliability scores.
Proxy tasks and subjective measures can be misleading in evaluating explainable AI systems , year =
4 Pith papers cite this work. Polarity classification is still indexing.
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LLM facilitators in real-stakes group charity decisions shift specific allocations without raising consensus or participation equity, yet increase perceived trust and preference for the process.
The paper proposes six interconnected elements of a design space to close the synergy gap in human-AI decision-making.
Low vision individuals with central visual field loss can use head-pointing to select 2° targets in VR, reaching near-control performance with sufficiently large pointer activation zones.
citing papers explorer
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What Should Explanations Contain? A Human-Centered Explanation Content Model for Local, Post-Hoc Explanations
A 14-code content model for local post-hoc AI explanations, derived from 325 user statements and validated by experts with high reliability scores.
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Real-Time Group Dynamics with LLM Facilitation: Evidence from a Charity Allocation Task
LLM facilitators in real-stakes group charity decisions shift specific allocations without raising consensus or participation equity, yet increase perceived trust and preference for the process.
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Addressing the Synergy Gap: The Six Elements of the Design Space
The paper proposes six interconnected elements of a design space to close the synergy gap in human-AI decision-making.
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Performance of low vision individuals when selecting a target with head-pointing in virtual reality
Low vision individuals with central visual field loss can use head-pointing to select 2° targets in VR, reaching near-control performance with sufficiently large pointer activation zones.