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New frameworks emerge for understanding and measuring human-AI teamwork dynamics

By PulseAugur Editorial · Summary by gemini-2.5-flash-lite from 6 sources

Two new research papers propose frameworks for understanding human-AI collaboration. One paper introduces a spectrum of human-AI relationships, from pure human to pure AI, to help leaders recognize and manage the shifting dynamics of decision-making in heterogeneous teams. The other paper presents validated scales for measuring perceived cooperativity and teaming in human-AI interactions, applicable across various contexts including LLM use. AI

Summary written by gemini-2.5-flash-lite from 6 sources. How we write summaries →

IMPACT Provides new conceptual tools for understanding and evaluating the quality of human-AI teamwork, crucial for designing effective AI systems.

RANK_REASON Two academic papers published on arXiv introduce conceptual frameworks and measurement scales for human-AI collaboration.

Read on arXiv cs.AI →

COVERAGE [6]

  1. arXiv cs.AI TIER_1 · Alejandro R. Jadad ·

    Leading Across the Spectrum of Human-AI Relationships: A Conceptual Framework for Increasingly Heterogeneous Teams

    arXiv:2604.27392v1 Announce Type: new Abstract: What shapes a consequential decision when human and artificial intelligence work on it together? The answer is becoming harder to see. A decision may look human-led after AI has set the frame, or appear automated while human judgmen…

  2. arXiv cs.CL TIER_1 · Alejandro R. Jadad ·

    Leading Across the Spectrum of Human-AI Relationships: A Conceptual Framework for Increasingly Heterogeneous Teams

    What shapes a consequential decision when human and artificial intelligence work on it together? The answer is becoming harder to see. A decision may look human-led after AI has set the frame, or appear automated while human judgment still carries decisive force. This paper offer…

  3. Hugging Face Daily Papers TIER_1 ·

    Leading Across the Spectrum of Human-AI Relationships: A Conceptual Framework for Increasingly Heterogeneous Teams

    What shapes a consequential decision when human and artificial intelligence work on it together? The answer is becoming harder to see. A decision may look human-led after AI has set the frame, or appear automated while human judgment still carries decisive force. This paper offer…

  4. arXiv cs.AI TIER_1 · Christiane Attig, Christiane Wiebel-Herboth, Patricia Wollstadt, Tim Schrills, Mourad Zoubir, Thomas Franke ·

    Measuring Successful Cooperation in Human-AI Teamwork: Development and Validation of the Perceived Cooperativity and Teaming Perception Scales

    arXiv:2604.24461v1 Announce Type: cross Abstract: As human-AI cooperation becomes increasingly prevalent, reliable instruments for assessing the subjective quality of cooperative human-AI interaction are needed. We introduce two theoretically grounded scales: the Perceived Cooper…

  5. arXiv cs.AI TIER_1 · Thomas Franke ·

    Measuring Successful Cooperation in Human-AI Teamwork: Development and Validation of the Perceived Cooperativity and Teaming Perception Scales

    As human-AI cooperation becomes increasingly prevalent, reliable instruments for assessing the subjective quality of cooperative human-AI interaction are needed. We introduce two theoretically grounded scales: the Perceived Cooperativity Scale (PCS), grounded in joint activity th…

  6. Hugging Face Daily Papers TIER_1 ·

    Measuring Successful Cooperation in Human-AI Teamwork: Development and Validation of the Perceived Cooperativity and Teaming Perception Scales

    As human-AI cooperation becomes increasingly prevalent, reliable instruments for assessing the subjective quality of cooperative human-AI interaction are needed. We introduce two theoretically grounded scales: the Perceived Cooperativity Scale (PCS), grounded in joint activity th…

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