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Committee Date Time Place Paper Title / Authors Abstract Paper #
HIP, HCS, HI-SIGCOASTER [detail] 2023-05-15
Okinawa Okinawa Industry Support Center
(Primary: On-site, Secondary: Online)
Cognitive Load Estimation of Speech-in-Noise Recall Task with State-Space Models
Mateusz Dubiel (, Minoru Nakayama (Tokyo Tech.), Xin Wang (NII) HCS2023-7 HIP2023-7
Cognitive workload during a listening and recall task was estimated using a state-space model based on metrics of pupill... [more] HCS2023-7 HIP2023-7
- 2022-12-16
Kagawa Onsite (Sunport Takamatsu) and Online
(Primary: On-site, Secondary: Online)
Modelling cognitive load with ocular responses during a noisy synthetic speech recall task
Mateusz Dubiel (, Minoru Nakayama (Tokyo Tech.), Xin Wang (NII)
We applied state-space models to estimate the cognitive workload based
on participants' reactions to speech signals (i... [more]

- 2020-12-17
Online Online Measuring cognitive load of Japanese synthetic speech mixed with noise using eye-movement analysis
Mateusz Dubiel (UniStrath), Minoru Nakayama (Tokyo Tech.), Xin Wang (NII)
We measured cognitive load of Japanese natural and synthetic speech
mixed with noise using temporal changes in pupil s... [more]

HIP 2020-10-09
Online Online Using Pupillary Responses to Measure Cognitive Load of Japanese Synthetic Speech mixed with Noise
Mateusz Dubiel (UniStrath), Minoru Nakayama (Tokyo Tech.), Xin Wang (NII) HIP2020-51
Pupillometry has recently been introduced as a method to evaluate cognitive workload of synthetic speech. Prior research... [more] HIP2020-51
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