We present a method to analyze a relationship between eye movements and saliency dynamics in videos for estimating attentive states of users while they watch the videos. The …
This paper is aimed at employing mirrors to estimate relative posture and position of camera, ie, extrinsic parameters, against a 3D reference object that is not directly visible from the …
To close the wide gap between the exploding information world and individual human knowledge, we have investigated a multi-modal interaction strategy called Mind Probing in …
The spatio-temporal correlation analysis between visual saliency and eye movements is presented for the estimation of the mental focus toward videos. We extract spatio-temporal …
One's state of mind is subconsciously exposed as a reaction reflecting it by external stimuli. In this work, we focus on a car driver's cognitive distraction, specifically by analyzing a …
A car driver's cognitive distraction is a main factor behind car accidents. One's state of mind is subconsciously exposed as a reaction reflecting it by external stimuli. A visual event that …
T Ahmed, A Srivastava - Journal of Uncertainty Analysis and Applications, 2016 - Springer
The idea that a machine can numerically estimate the interest of an individual towards any entity (eg, WhatsApp, Facebook) is fascinating. Interest, however, is a complex human …
K Shimonishi, H Kawashima, R Yonetani… - Proceedings of the 6th …, 2013 - dl.acm.org
This paper presents a probabilistic framework to model the gaze generative process when a user is browsing a content consisting of multiple regions. The model enables us to learn …
Information about a subjective user opinion towards an argument is crucial for argumentative systems in order to present appropriate content and adapt their behaviour to …