The Influence Of Self-regulatory Demands During Intra-team Negotiations On Team Commitment: A Comparative Study Between Human-autonomy Teams (HAT) And Human-only Teams (HUM) Settings - Info and Reading Options
By Dirk Schulze Kissing, Carmen Bruder and Tobias Marrenbach
“The Influence Of Self-regulatory Demands During Intra-team Negotiations On Team Commitment: A Comparative Study Between Human-autonomy Teams (HAT) And Human-only Teams (HUM) Settings” Metadata:
- Title: ➤ The Influence Of Self-regulatory Demands During Intra-team Negotiations On Team Commitment: A Comparative Study Between Human-autonomy Teams (HAT) And Human-only Teams (HUM) Settings
- Authors: Dirk Schulze KissingCarmen BruderTobias Marrenbach
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- Internet Archive ID: osf-registrations-sfheq-v1
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The general approach is to use Cross-Recurrent Quantification Analysis (CRQA) for gaze data to assess team dynamics. This research explores challenges of resource dilemmas (DeCaro et al., 2021) faced in airport collaborative decisionmaking (ACDM; Le Bris et al., 2021). Building upon evidence with triadic teams (Schulze Kissing & Bruder, 2023), interactions between human dyads and an autonomous agent (HAT) are compared to those with another human (HUM). We hypothesize that fairness (Tomasello 2019) is less emphasized in HATs, potentially leading to AI exploitation, and that ego-option choices have lower negative impact on team adaptability when an AI perceived as rational is involved. A sequential game embedded in a dynamic coordination scenario is used to model the resource dilemma, where players balance individual gains against team penalties for selfish choices. Each session includes three sequential games. In each round, two players can defect without team penalty. The third agent is simulated in a Wizard-of-Oz setting and always starts the first game, with turns balanced across the three games. Dyads can communicate after each game, aiding self-governance during transitions. A 2x2 design is employed, varying the third teammate (human or AI) and their initial decision (team-oriented or egoistic but then team-oriented). We expect less discussion on social-norm violations and more emphasis on rational intentions when an AI is the third agent. Egoistic initial choices by humans are predicted to be appraised as such and so more negatively impact cooperation. Team-oriented initial choices by the third agent are expected to lead to more defections against an AI compared to a human.
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- Added Date: 2025-05-15 14:00:40
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