Humans and Autonomy: Implications of Shared Decision Making for Military Operations
Abstract
Issues related to defining the Soldiers 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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2017
- Accession Number
- AD1024840
Entities
People
- Jessie Y. Chen
- Michael J. Barnes
- Susan Hill
Organizations
- United States Army Research Laboratory