23 citations · 103 across the 19 of their papers we have counts for
11 papers · 1 filter
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…
Recognition of Advertisement Emotions with Application to Computational Advertising
Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti +3
Advertisements (ads) often contain strong affective content to capture viewer attention and convey an effective message to the audience. However, most computational affect recognit…
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…
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…
AVEID: Automatic Video System for Measuring Engagement In Dementia
Viral Parekh, Pin Sym Foong, Shendong Zhao +1
Engagement in dementia is typically measured using behavior observational scales (BOS) that are tedious and involve intensive manual labor to annotate, and are therefore not easily…
Evaluating Content-centric vs User-centric Ad Affect Recognition
Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti +3
Despite the fact that advertisements (ads) often include strongly emotional content, very little work has been devoted to affect recognition (AR) from ads. This work explicitly com…
Affect Recognition in Ads with Application to Computational Advertising
Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti +3
Advertisements (ads) often include strongly emotional content to leave a lasting impression on the viewer. This work (i) compiles an affective ad dataset capable of evoking coheren…
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…
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…
Evaluating Crowdsourcing Participants in the Absence of Ground-Truth
Ramanathan Subramanian, Romer Rosales, Glenn Fung +1
Given a supervised/semi-supervised learning scenario where multiple annotators are available, we consider the problem of identification of adversarial or unreliable annotators.
PET: An Eye-tracking Dataset for Animal-centric PASCAL Object Classes
Syed Omer Gilani, Ramanathan Subramanian, Yan Yan +3
We present the Pascal animal classes Eye Tracking database. Our database comprises eye movement recordings compiled from forty users for the bird, cat, cow, dog, horse and sheep {t…