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UID:20250726T203308EDT-7204AE9flX@132.216.98.100
DTSTAMP:20250727T003308Z
DESCRIPTION:Informal Systems Seminar (ISS)\, Centre for Intelligent Machine
 s (CIM) and Groupe d'Etudes et de Recherche en Analyse des Decisions (GERA
 D)\n\nSpeaker: Raihan Seraj\n	\n	** Note that this is a hybrid event.\n	** No
 te that this seminar does not take place at the usual time and location of
  ISS seminars.\n	\n	Zoom Link\n	Meeting ID: 845 1388 1004       \n	Passcode: V
 ISS\n\n\n	Abstract:\n\nHuman cognitive states\, such as mental workload\, p
 lay a pivotal role in decision making processes within human automation te
 ams. Although subjective measures of mental workload can be obtained using
  standard questionnaires like the NASA-TLX\, their administration is often
  impractical as it interferes with the primary tasks of the human operator
 . Therefore\, it is of interest to estimate these subjective measures from
  less intrusive observations. Evidence suggests that mental workload is a 
 dynamic process so incorporating historical measurements could reduce its 
 estimation error. Additionally\, the estimation of operator performance in
  human automation teams is essential in optimizing task effectiveness and 
 facilitating efficient resource allocation. In this work\, we present and 
 compare different dynamic schemes to estimate an operator’s performance on
  classification tasks\, i.e.\, classification accuracy and her subjective 
 ratings on subscales of the NASA-TLX questionnaire\, which measure mental 
 workload across multiple dimensions. These schemes differ in the informati
 on available for estimation. We test these schemes on data collected from 
 a scenario where a human and an automation perform a series of classificat
 ion tasks for simulated mobile objects. Our analysis of the interaction da
 ta and the estimation schemes indicates that employing dynamic estimation 
 for certain NASA-TLX subscale ratings leads to decreased estimation errors
 . However\, similar conclusions cannot be drawn with certainty for the est
 imation of the operator classification accuracy.\n	\n	Bio:  \n\nRaihan Seraj
  is a PhD candidate in the Department of Electrical and Computer Engineeri
 ng\, 51³Ô¹ÏÍø.\n	\n	\n	\n	\n	 \n
DTSTART:20240605T140000Z
DTEND:20240605T150000Z
LOCATION:Room 267\, Macdonald Engineering Building\, CA\, QC\, Montreal\, H
 3A 0C3\, 817 rue Sherbrooke Ouest
SUMMARY:Dynamic Estimation of Mental Workload and Operator Accuracy in Huma
 n Automation Teams
URL:/cim/channels/event/dynamic-estimation-mental-work
 load-and-operator-accuracy-human-automation-teams-357476
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