BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Denver
X-LIC-LOCATION:America/Denver
BEGIN:DAYLIGHT
TZOFFSETFROM:-0700
TZOFFSETTO:-0600
TZNAME:MDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0600
TZOFFSETTO:-0700
TZNAME:MST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20250522T212945Z
LOCATION:Mile High 3C
DTSTART;TZID=America/Denver:20240731T111500
DTEND;TZID=America/Denver:20240731T112500
UID:siggraph_SIGGRAPH 2024_sess112_papers_1115@linklings.com
SUMMARY:NICER: A New and Improved Consumed Endurance and Recovery Metric t
 o Quantify Muscle Fatigue of Mid-air Interactions
DESCRIPTION:Yi Li, Benjamin Tag, and Shaozhang Dai (Monash University); Ro
 bert Crowther (University of New England); Tim Dwyer (Monash University); 
 Pourang Irani (The University of British Columbia, Okanagan); and Barrett 
 Ens (The University of British Columbia, Okanagan; Monash University)\n\nN
 atural gestures are crucial for mid-air interactions, but predicting and m
 anaging muscle fatigue is challenging. We present a new computational mode
 l, NICER, which combines a correction term for 3D interaction and a recove
 ry factor for a rest period to predict fatigue across a variety of gesture
 -based interactive applications.\n\nInterest Area: Research & Education\n\
 nRecording: Livestreamed, Recorded\n\nRegistration Category: Full Conferen
 ce, Full Conference Supporter, Virtual Access, Exhibitor Full Conference, 
 Wednesday\n\nSession Chair: Qi Sun (New York University)\n\n
END:VEVENT
END:VCALENDAR