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DTSTART:19700308T020000
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DTSTAMP:20251016T135129Z
LOCATION:Grand A
DTSTART;TZID=America/Chicago:20251014T121000
DTEND;TZID=America/Chicago:20251014T123000
UID:HFESAM_ASPIRE 2025_sess219_LECT432@linklings.com
SUMMARY:Neurofeedback Training for Cognitive Optimization: Effects on Perf
 ormance and Workload in a Simulation Task
DESCRIPTION:Ajoy Kumar and Sahil Sankhyan (Indian Institute of Technology 
 Mandi); Akash k. Rao (Manipal Academy of Higher Education); Palvi Aggarwal
  (University of Texas, El Paso); and Varun Dutt (Indian Institute of Techn
 ology Mandi)\n\nThis research investigates the impact of Focus Index (FI)-
 based neurofeedback (NF) training on the performance  and cognitive worklo
 ad during high-stakes decision-making search and shoot tasks. Neurofeedbac
 k has been proven to enhance attention and decrease stress by allowing sel
 f-regulation of brain activity. Its efficacy in dynamic high-pressure situ
 ations, however, has not been explored. In the experiment conducted for th
 is research, forty volunteers were divided into two groups at random: an N
 F group and a control group. The NF group provided real-time visual feedba
 ck of attentional engagement during training sessions. Both groups were te
 sted pre- and post-training on search and shoot tasks, with performance me
 asures of number of enemies defeated, bullets fired, and survival time. Su
 bjective workload was measured using the NASA-TLX, and data were analysed 
 using mixed-design ANOVAs. The NF group showed significantly larger perfor
 mance improvements and lower mental and effort-related workload ratings th
 an the control group. EEG-based feedback also showed enhanced attentional 
 self-regulation after NF training. These findings indicate that FI-based N
 F training can improve performance and cognitive efficiency under time pre
 ssure. This method has strong potential as a neuroadaptive tool for enhanc
 ing focus, decision-making, and workload management in military and other 
 high-stress operational environments.\n\nTrack: Cognitive Engineering & De
 cision Making\n\nSession Chair: xiaoli wu (Nanjing University of Science a
 nd Technology, University College London)\n\n
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