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20172026
most citedEEG-based Evaluation of Cognitive Workload Induced by Acoustic Parameters for Data Sonification

23 citations · 30 across the 12 of their papers we have counts for

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6 papers · 1 filter

cs.HC2024★ 1 cited

EEG-based Cognitive Load Estimation of Acoustic Parameters for Data Sonification

Gulshan Sharma, Surbhi Madan, Maneesh Bilalpur +2

Sonification is a data visualization technique which expresses data attributes via psychoacoustic parameters, which are non-speech audio signals used to convey information. This pa…

cs.HC2020★ 1 cited

Gender and Emotion Recognition from Implicit User Behavior Signals

Maneesh Bilalpur, Seyed Mostafa Kia, Mohan Kankanhalli +1

This work explores the utility of implicit behavioral cues, namely, Electroencephalogram (EEG) signals and eye movements for gender recognition (GR) and emotion recognition (ER) fr…

cs.HC2018

Investigating the generalizability of EEG-based Cognitive Load Estimation Across Visualizations

Viral Parekh, Maneesh Bilalpur, Sharavan Kumar +3

We examine if EEG-based cognitive load (CL) estimation is generalizable across the character, spatial pattern, bar graph and pie chart-based visualizations for the nback~task. CL i…

cs.HC2018★ 23 cited

EEG-based Evaluation of Cognitive Workload Induced by Acoustic Parameters for Data Sonification

Maneesh Bilalpur, Mohan Kankanhalli, Stefan Winkler +1

Data Visualization has been receiving growing attention recently, with ubiquitous smart devices designed to render information in a variety of ways. However, while evaluations of v…

cs.HC2017★ 4 cited

Gender and Emotion Recognition with Implicit User Signals

Maneesh Bilalpur, Seyed Mostafa Kia, Manisha Chawla +2

We examine the utility of implicit user behavioral signals captured using low-cost, off-the-shelf devices for anonymous gender and emotion recognition. A user study designed to exa…

cs.HC2017

Discovering Gender Differences in Facial Emotion Recognition via Implicit Behavioral Cues

Maneesh Bilalpur, Seyed Mostafa Kia, Tat-Seng Chua +1

We examine the utility of implicit behavioral cues in the form of EEG brain signals and eye movements for gender recognition (GR) and emotion recognition (ER). Specifically, the ex…