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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link="#0563C1" vlink="#954F72"><div class=WordSection1><h1><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:windowtext'>Please share with interested colleagues!<br><br></span>Human-Machine Teaming<o:p></o:p></h1><p class=MsoNormal>Request for White Papers<o:p></o:p></p><p class=MsoNormal><b>DEADLINE: December 2, 2018<o:p></o:p></b></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>The Air Force Office of Scientific Research is requesting white papers describing novel interdisciplinary basic research investigations of human-machine teaming, an important consideration for autonomous systems development and deployment. White papers should address at least one of the following three topic areas:<o:p></o:p></p><p class=MsoListParagraphCxSpFirst style='text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='mso-list:Ignore'>1.<span style='font:7.0pt "Times New Roman"'> </span></span><![endif]>Trust and Verification<o:p></o:p></p><p class=MsoListParagraphCxSpMiddle style='text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='mso-list:Ignore'>2.<span style='font:7.0pt "Times New Roman"'> </span></span><![endif]>Interaction<o:p></o:p></p><p class=MsoListParagraphCxSpLast style='text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='mso-list:Ignore'>3.<span style='font:7.0pt "Times New Roman"'> </span></span><![endif]>Communication (Information Sharing)<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><h2>Trust and Verification<o:p></o:p></h2><p class=MsoNormal>Trust and verification ensure that humans and autonomous systems are prepared to cooperate and execute actions as expected. AFOSR is interested in research that quantifies the extent to which humans can trust autonomous systems and to which autonomous systems can trust humans. Trust is a combination of authority and responsibility, which are respectively the ability to make promises and the ability to deliver on them. Trust also requires that humans and machines understand each other’s actions. Proposals may also explore methods for verifying human and machine behavior and ensuring that agents complete actions as expected.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><h2>Interaction<o:p></o:p></h2><p class=MsoNormal>Autonomous systems are of limited use without a way for humans to interact with them. Proposed investigations of methods to collaborate with an autonomous teammate could address interfaces including but not limited to natural language, gestures, keyboard/touchscreen GUIs, and brain-machine interfaces with the recognition that DoD-relevant autonomous systems may be operated in complex environments in which users are vulnerable, have high attentional demands, and need to avoid producing signals that could reveal their presence. Augmented reality techniques that provide information from the machine teammate while maintaining the human’s situational awareness are also of interest. Investigations should also quantify the role of uncertainty and how humans and machines identify and recover from errors.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><h2>Communication (Information Sharing)<o:p></o:p></h2><p class=MsoNormal>Effective communication and information exchange are essential for any team to function properly. AFOSR is interested in methods for humans to specify or update the team’s goals in real time, machines to explain or justify their decisions and actions to their human partner(s), and humans and machines to exchange and fuse information in real time without interrupting the mission. There is also interest in measuring agreement and resolving disagreement within a team, conveying plans and intent among team members, and directing the attention of human or machine partners. Investigations should quantify the role of uncertainty in communicated information and how humans and machines identify and recover from corrupted information and misinformation.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>AFOSR anticipates awarding grants of up to $500K per year for up to 3 years to investigators at US or foreign academic and non-profit organizations (excluding FFRDCs). White papers are encouraged to include co-investigators from other disciplines. Authors of selected white papers may be invited to submit full proposals.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Please email your white paper (approximately 2-5 pages, excluding references) with CVs for all principal and co-investigators as a single attachment to Dr. Hal Greenwald at <span class=MsoHyperlink><a href="mailto:hal.greenwald@us.af.mil">hal.greenwald@us.af.mil</a></span>.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><b><span style='color:#0070C0'>Hal S. Greenwald, Ph.D.<br></span></b>Program Officer, Cognitive & Computational Neuroscience<br>Air Force Office of Scientific Research (AFOSR/RTA)<br>875 N. Randolph St.<br>Arlington, VA 22203-1768<br>(703) 588-8441<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>