BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Denver BEGIN:DAYLIGHT DTSTART:20240310T030000 TZOFFSETFROM:-0700 TZOFFSETTO:-0600 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:MDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20241103T010000 TZOFFSETFROM:-0600 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:MST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20241228T213645Z UID:EC82FA52-1936-4BA5-AC3E-771FB66DFEFC DTSTART;TZID=America/Denver:20240829T180000 DTEND;TZID=America/Denver:20240829T200000 DESCRIPTION:Clear and frequent communication is a foundational aspect of co llaboration. Effective communication not only enables and sustains the sha red situational awareness necessary for adaptation and coordination\, but is often a requirement given the opaque nature of decision-making in auton omous systems. In this talk I will share my lab's recent work at the inter section of human-machine communication and human-aware optimization under partially observable conditions. Through these advances we are able to rea lize human-autonomy teams that are greater than the sum of their parts\, e nabling autonomous systems to operationalize psychological insights about human cognition for effective communication\, to distill and disseminate k nowledge from machine learning models for real-time multimodal decision su pport\, and even to help humans overcome limitations induced by sensory im pairment.\n\nSpeaker(s): Dr. Hayes\n\nVirtual: https://events.vtools.ieee. org/m/430170 LOCATION:Virtual: https://events.vtools.ieee.org/m/430170 ORGANIZER:smehalingam@binghamton.edu SEQUENCE:8 SUMMARY:Safe and Capable Human-Machine Teaming through Multimodal Communica tion URL;VALUE=URI:https://events.vtools.ieee.org/m/430170 X-ALT-DESC:Description: <br /><p>Clear and frequent communication is a foun dational aspect of collaboration. Effective communication not only enables and sustains the shared situational awareness necessary for adaptation an d coordination\, but is often a requirement given the opaque nature of dec ision-making in autonomous systems. In this talk I will share my lab's rec ent work at the intersection of human-machine communication and human-awar e optimization under partially observable conditions. Through these advanc es we are able to realize human-autonomy teams that are greater than the s um of their parts\, enabling autonomous systems to operationalize psycholo gical insights about human cognition for effective communication\, to dist ill and disseminate knowledge from machine learning models for real-time m ultimodal decision support\, and even to help humans overcome limitations induced by sensory impairment.&nbsp\;</p> END:VEVENT END:VCALENDAR