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Humans and autonomy : implications of shared decision-making for military operations / by Michael J Barnes, Jessie Y C Chen, and Susan Hill.
- Format:
- Book
- Government document
- Author/Creator:
- Barnes, Michael (Michael Joseph), 1945- author.
- Chen, Jessie Y. C., author.
- Hill, Susan (US-ARL), author.
- Series:
- ARL-TR (Aberdeen Proving Ground, Md.) ; 7919.
- ARL-TR ; 7919
- Language:
- English
- Subjects (All):
- Computer software--Human factors.
- Autonomy.
- War.
- armed conflicts.
- wars.
- Genre:
- Online resources.
- technical reports.
- Technical reports.
- Physical Description:
- 1 online resource (iv, 36 pages) : color illustrations
- Place of Publication:
- Aberdeen Proving Ground, MD : US Army Research Laboratory, Jan 2017.
- Summary:
- Issues related to defining the soldier's role in future battlefields populated by autonomous systems are driving important US Army research programs. Mixed-initiative systems entailing shared decision-making between humans and intelligent software are a promising strategy that combines the advantages of human insight and autonomous control. This report discusses empirical results related to shared decision-making in the context of military applications including outcomes from research on intelligent agents, control of multiple unmanned systems, trust and transparency, cognitive architectures, natural language processing, and bi-directional interfaces. Overall, mixed-initiative systems show great promise, but more research will be required before such systems become part of large-scale operational environments. Effects of emotional response to autonomous systems, ethical software constraints, and machine learning transparency are identified as future research opportunities.
- Contents:
- Introduction ; Military constraints
- Mixed-initiative systems and a general framework
- The conundrum of control
- RoboLeader and human-agent control processes
- Trust and transparency : situation-based agent transparency model ; Autonomy research pilot initiative and agent transparency research
- Transparency and trust : ARPI results
- Team communications ; ARL robotic collaborative technology alliance and computational cognitive models
- Language processing
- Command processing
- Controlled processing
- Graphic- and video-mediated communications
- Summary of teaming requirements
- Naturalistic interfaces
- Summary and discussion
- Conclusions.
- Notes:
- "Jan 2017."
- Includes bibliographical references (pages 23-33).
- Online resource; title from PDF title page (U.S. Army Research Laboratory website, viewed September 19, 2018).
- OCLC:
- 1052796914
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