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PRODID:Linklings LLC
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TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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TZOFFSETFROM:-0500
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TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
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BEGIN:VEVENT
DTSTAMP:20251016T135201Z
LOCATION:Grand Hall M/N
DTSTART;TZID=America/Chicago:20251016T163000
DTEND;TZID=America/Chicago:20251016T173000
UID:HFESAM_ASPIRE 2025_sess129@linklings.com
SUMMARY:AC2: Augmented Cognition and Learning
DESCRIPTION:Machine Learning Considerations for Trust Predictions in HRI: 
 Examination across Labels, Sex Differences, and Sensor Modalities\n\nAdvan
 ces in AI and robotics increase human-robot interactions, but trust classi
 fication via neurophysiological data remains uncertain. Additionally, ther
 e is a limited understanding of how sex differences, model choice, data mo
 dality, and trust binarization influence trust prediction outcomes. We co.
 ..\n\n\nAakash Yadav and Ranjana Mehta (University of Wisconsin - Madison)
 \n---------------------\nRefining Mathematical Task Difficulty for Accurat
 e Mental Workload Estimation\n\nAccurately assessing mental workload (MWL)
  is essential for optimizing task performance. Although mathematical opera
 tions are widely used to induce MWL due to their scalability, few studies 
 provide clear criteria for defining difficulty levels. This study proposes
  a systematic classification method ...\n\n\nJingkun Wang, Dongyang Li, Em
 ily Garcia, Eugenio Frias-Miranda, Zhengming Zhang, and Denny Yu (Purdue U
 niversity)\n---------------------\nPupil Dilation as an Indicator of Debug
 ging Strategy in a Location-Based AR Learning Environment\n\nThe metacogni
 tive debugging process plays a crucial role in helping students pinpoint t
 heir specific learning weaknesses, allowing them to modify their strategie
 s for enhanced academic performance. Notably, changes in pupil dilation se
 rve as an indicator of arousal associated with confronting learni...\n\n\n
 Sara Mostowfi, Jung Hyup Kim, Siddarth Mohanty, Fang Wang, Danielle Oprean
 , Yi Wang, and Kangwon Seo (University of Missouri, Columbia)\n\nTrack: Au
 gmented Cognition\n\nSession Chairs: Jason Sanders (San José State Univers
 ity) and Michael Hildebrandt (Institute for Energy Technology, Halden Proj
 ect)
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