The Perceived Cooperativity Scale and Teaming Perception Scale were developed from theory and validated across three studies to reliably measure subjective quality of human-AI cooperation.
Sobel, Laura E
7 Pith papers cite this work. Polarity classification is still indexing.
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CogInstrument represents human reasoning as revisable cognitive motifs in graphical form to support iterative alignment with LLMs during planning tasks, with a N=12 study indicating gains in targeted revision, agency, and trust over standard dialogue interfaces.
CAPS provides an iterative differentially private synthesis method that outperforms one-shot baselines on authentic educational real-world data.
The Wilcoxon signed-rank test routinely loses Type I error control in IR benchmarking and should be abandoned.
People judge copying AI-generated content as less wrong than copying human work because AI lacks moral patiency and humans claim more ownership of AI outputs.
MoralityGym is a new benchmark using 98 ethical dilemmas in sequential environments to evaluate hierarchical moral alignment in AI agents via Morality Chains and a Morality Metric.
Users' memory of privacy settings drifts over time from exact recall to gist-based impressions that bias toward sharing with larger audiences than originally intended.
citing papers explorer
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Measuring Successful Cooperation in Human-AI Teamwork: Development and Validation of the Perceived Cooperativity and Teaming Perception Scales
The Perceived Cooperativity Scale and Teaming Perception Scale were developed from theory and validated across three studies to reliably measure subjective quality of human-AI cooperation.
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CogInstrument: Modeling Cognitive Processes for Bidirectional Human-LLM Alignment in Planning Tasks
CogInstrument represents human reasoning as revisable cognitive motifs in graphical form to support iterative alignment with LLMs during planning tasks, with a N=12 study indicating gains in targeted revision, agency, and trust over standard dialogue interfaces.
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Cyclic Adaptive Private Synthesis for Sharing Real-World Data in Education
CAPS provides an iterative differentially private synthesis method that outperforms one-shot baselines on authentic educational real-world data.
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Stop Using the Wilcoxon Test: Myth, Misconception and Misuse in IR Research
The Wilcoxon signed-rank test routinely loses Type I error control in IR benchmarking and should be abandoned.
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Can AI be a moral victim? The role of moral patiency and ownership perceptions in ethical judgments of using AI-generated content
People judge copying AI-generated content as less wrong than copying human work because AI lacks moral patiency and humans claim more ownership of AI outputs.
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MoralityGym: A Benchmark for Evaluating Hierarchical Moral Alignment in Sequential Decision-Making Agents
MoralityGym is a new benchmark using 98 ethical dilemmas in sequential environments to evaluate hierarchical moral alignment in AI agents via Morality Chains and a Morality Metric.
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Temporal Drift in Privacy Recall: Users Misremember From Verbatim Loss to Gist-Based Overexposure
Users' memory of privacy settings drifts over time from exact recall to gist-based impressions that bias toward sharing with larger audiences than originally intended.