mlsanityData to 14 Oct 2026

TRAIL: A Platform for Configurable Human--AI Teaming Experiments

arXiv 2607.12180 ↗First posted 13 Jul 2026cs.HC cs.AIcited by 0

Not on the map. Why?

Abstract (arXiv)

An AI teammate's design properties (personality, communication style, when it speaks) can shape a team's trust, coordination, and decisions. Studying this rigorously demands infrastructure no existing tool provides: reproducible configuration of an AI teammate embedded in instrumented, real-time collaboration sustained over time. We present the Team Research and AI Integration Lab (TRAIL), a web platform that makes the AI teammate a configurable, reproducible design object, pairing a Big Five persona with a selective-participation message pipeline, dual memory, chained longitudinal experiments, and export-ready analytics. In a real six-session classroom deployment (about 51 students), TRAIL sustained longitudinal chaining, held the AI to a stable minority of the conversation, and enabled export-driven AI-human text-similarity analysis. A single blind persona change produced a design-consistent double dissociation: a cognitive-scaffolding agent drew stronger contribution ratings and closer linguistic alignment; a socially-supportive agent, a warmer team climate and lower over-reliance.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 11 of its 32 references that are in the map. First posted on arXiv 13 Jul 2026.

Builds on

11 of 32 references.

References · 11

  1. 2023GPT-4 Technical Reportcited by 18,396
  2. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,568
  3. 2023PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traitscited by 234
  4. 2022Evaluating and Inducing Personality in Pre-trained Language Modelscited by 123
  5. 2020ConvoKit: A Toolkit for the Analysis of Conversationscited by 72
  6. 2020Empirica: a virtual lab for high-throughput macro-level experimentscited by 16
  7. 2018Group Communication Analysis: A Computational Linguistics Approach for Detecting Sociocognitive Roles in Multi-Party Interactionscited by 9
  8. 2024Catalyzing Equity in STEM Teams: Harnessing Generative AI for Inclusion and Diversitycited by 6
  9. 2024The AI Collaborator: Bridging Human-AI Interaction in Educational and Professional Settingscited by 4
  10. 2025Read the Room or Lead the Room: Understanding Socio-Cognitive Dynamics in Human-AI Teamingcited by 2
  11. 2026Personalities at Play: Probing Alignment in AI Teammatescited by 1

Built on by

Not cited yet.