Title
Developing Effective and Resilient Human-Agent Teamwork Using Team Design Patterns
Author
van Diggelen, J.
Neerincx, M.A.
Peeters, M.
Schraagen, J.M.
Publication year
2019
Abstract
Human-agent teams exhibit emergent behavior at the team level, as a result of interactions between individuals within the team. This begs the question how to design artificial team members (agents) as adequate team players that contribute to the team processes advancing team performance, resilience, and learning. This paper proposes the development of a library of team design patterns as a way to make dynamic team behavior at the team and individual level more explicit. Team design patterns serve a dual purpose: (1) in the system development phase, designers can identify desirable team patterns for the creation of artificial team members. (2) During the operational phase, team design patterns can be used by artificial team members to drive and stimulate team development and to adaptively mitigate problems that may arise. We describe a pattern language for specifying team design patterns, discuss their use, and illustrate the concept using representative human-agent teamwork applications.
Subject
Multi Agent Systems
Pattern Recognition
Team Working
Dynamic Team Behavior
Desirable Team Patterns
Artificial Team Members
Team Development
Human Agent Teams
Team Design Patterns
Teamwork
Ontologies
Intelligent Systems
Resilience
Degradation
Task Analysis
Resistance
To reference this document use:
http://resolver.tudelft.nl/uuid:e493ef05-23d3-48e1-bf5e-e91630a645d6
DOI
https://doi.org/10.1109/mis.2018.2886671
TNO identifier
870294
Source
IEEE Intelligent Systems, 34 (2), 15-24
Document type
article