An overview of key human factors relevant to HAT planning and corresponding planning guidelines are provided, which frame time not merely as an operational constraint but as a fundamental planning dimension for adaptive and resilient human–agent teamwork.
Abstract
Human–Agent Teamwork (HAT) in high-stakes, volatile, uncertain, complex, and ambiguous (VUCA) environments places stringent demands on the planning of context-dependent and interdependent activities. Effective planning in such environments requires explicit consideration of temporal human factors that shape both individual and team performance over time. This paper provides an overview of key human factors relevant to HAT planning and derives corresponding planning guidelines. First, three temporal mechanisms are identified at the individual level: time pressure, stress, and the timing of decisions. Second, four mechanisms affecting teamwork processes are discussed: joint decision making, work process alignment, team resilience, and meaningful human control. Based on the literature analysis and expert workshops, support functions are proposed that explicitly account for these temporal mechanisms. The synthesis resulted in six actionable guidelines for HAT planning: (1) anticipation, (2) adaptive task allocation, (3) prepared routines, (4) adaptability of informing and performing, (5) trust calibration, and (6) continuous monitoring. Together, these guidelines frame time not merely as an operational constraint but as a fundamental planning dimension for adaptive and resilient human–agent teamwork.
This study investigates whether decision-making processes in human-AI teams mirror those in human-only teams in a task where team members hold common and unique information and demonstrates how established decision-making paradigms can be adapted to incorporate AI.
Sophie Kerstan, G. Grote, Jan B. Schmutz· Human Factors· 0 citations
This work identifies four key conditions—predictability, observability, plannability, and directability—that govern how HATs respond to shifting interdependencies and proposes a holistic framework that integrates the dynamic interplay between team members, tasks, and the environment.
Human-automated vehicle (AV) interaction can be understood as a form of teaming because safe driving often depends on coordinated contributions from both the driver and automation. Although AVs are often framed as reducing human involvement, many dynamic scenarios still require drivers and automated systems to coordina...
Jing Zang, Brandon J. Pitts· Proceedings of the Human Fac...· 0 citations
An in-situ qualitative study of a persistent, proactive AI agent'teammate'deployed across multiple teams in a large technology company reveals the boundaries of the human-agent workplace are actively in flux, triggering breakdowns and negotiations.
Rida Qadri, Remi Denton, Michael A. Madaio et al.· 0 citations
SDD reconstitutes, in specification-centric form, the contracts that vibe coding dissolves: accountability, verifiability, and transferability, and outlines a research agenda for future empirical validation.
J. Díaz, J. Gayoso, Andrea Cimminio et al.· 4 citations· ⚡1
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.