Beyond self-reports: Using eye tracking to measure topic and style differences in attention to social media content

E Vraga, L Bode, S Troller-Renfree - Communication Methods and …, 2016 - Taylor & Francis
Research on social media content overwhelmingly relies on self-reports, which we suggest
are meaningfully limited and likely biased. Instead, we apply an under-utilized method …

Rare2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis

N Riche, M Mancas, M Duvinage… - Signal Processing …, 2013 - Elsevier
For the last decades, computer-based visual attention models aiming at automatically
predicting human gaze on images or videos have exponentially increased. Even if several …

What roles matter? An explorative study on bullying and cyberbullying by using the eye‐tracker

L Menabò, G Skrzypiec, P Slee… - British journal of …, 2023 - Wiley Online Library
Background Bullying and cyberbullying are serious public health concerns that involve more
roles beyond the bully and the victim (pro‐bullies, defenders, bystanders). However …

Overview of eye tracking datasets

S Winkler, R Subramanian - 2013 Fifth International Workshop …, 2013 - ieeexplore.ieee.org
Datasets of images or videos annotated with eye tracking data constitute important ground
truth for studies on saliency models, which have applications in quality assessment and …

Rare: A new bottom-up saliency model

N Riche, M Mancas, B Gosselin… - 2012 19th IEEE …, 2012 - ieeexplore.ieee.org
In this paper, a new bottom-up visual saliency model is proposed. Based on the idea that
locally contrasted and globally rare features are salient, this model will be called “RARE” in …

Saliency detection based on multiscale extrema of local perceptual color differences

K Ishikura, N Kurita, DM Chandler… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Visual saliency detection is a useful technique for predicting, which regions humans will
tend to gaze upon in any given image. Over the last several decades, numerous algorithms …

Accidentally attentive: Comparing visual, close-ended, and open-ended measures of attention on social media

EK Vraga, L Bode, AB Smithson… - Computers in Human …, 2019 - Elsevier
The question of how to measure exposure to different types of content on social media
grows in importance with increased use of these platforms. Social media further complicate …

Abnormal motion selection in crowds using bottom-up saliency

M Mancas, N Riche, J Leroy… - 2011 18th IEEE …, 2011 - ieeexplore.ieee.org
This paper deals with the selection of relevant motion from multi-object movement. The
proposed method is based on a multi-scale approach using features extracted from optical …

Gesture in embodied communication and human-computer interaction

S Kopp, I Wachsmuth - Springer-Verlag, Berlin, 2010 - Springer
The International Gesture Workshops (GW) are interdisciplinary events for those researching
gesture-based communication across the disciplines. The focus of these events is a shared …

融合多特征与格式塔理论的路面裂缝检测

徐威, 唐振民, 徐丹, 吴国星 - 计算机辅助设计与图形学学报, 2015 - jcad.cn
路面裂缝常常混杂着随机的路面颗粒纹理和自然环境下的多种干扰, 基于单一特征的检测方法
无法较为准确地提取裂缝, 为此提出一种多特征融合与格式塔理论相结合的路面裂缝检测算法 …