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Stimuli-based Gaze Analytics to Enhance Motivation and Learning in MOOCs

Publications associées (43)

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Handwriting is an important skill in children development as well as in education that take years to be mastered. While keyboards and similar technological devices increasingly become more popular, new tools and engaging approaches are also required to kee ...

Association for Computing Machinery2023

The Gaze Dialogue Model: Nonverbal Communication in HHI and HRI

Aude Billard, Nuno Ricardo Ferreira Duarte, José Santos-Victor

When humans interact with each other, eye gaze movements have to support motor control as well as communication. On the one hand, we need to fixate the task goal to retrieve visual information required for safe and precise action-execution. On the other ha ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Meta Transfer Learning for Early Success Prediction in MOOCs

Vinitra Swamy, Mirko Marras

Despite the increasing popularity of massive open online courses (MOOCs), many suffer from high dropout and low success rates. Early prediction of student success for targeted intervention is therefore essential to ensure no student is left behind in a cou ...

ACM2022

More and more intelligent systems have to interact with humans. In order to communicate efficiently, these systems need to perceive and understand us. A key factor of communication is the people's visual focus of attention (VFOA), which is useful to estima ...

EPFL2021

The time course of serial dependence: an interplay between perceptual decisions and task relevant representations

Michael Herzog, David Pascucci, Gizay Ceylan

In serial dependence (SD), features of a present stimulus are judged as similar to previously presented ones. This bias is often explained by a continuity field (CF) in perception, combining similar stimuli in an extended region of space (∼ 15°) and time ( ...

SAGE Publishing2021

The interaction with the various learners in a Massive Open Online Course (MOOC) is often complex. Contemporary MOOC learning analytics relate with click-streams, keystrokes and other user-input variables. Such variables however, do not always capture user ...

SPRINGER HEIDELBERG2020

Long-lasting feature integration

In the classic model of vision, processing is local, feedforward and hierarchical. The first stages of the visual system are retinotopic, i.e., neighboring points in the outside world are mapped onto neighboring photoreceptors of the retina and this is pre ...

EPFL2020

Investigating prospective memory via eye tracking: No evidence for a monitoring deficit in older adults

Michael Herzog, Marc Michael Lauffs

Prospective memory (PM) refers to remembering to perform intended actions in the future. Older adults in particular have been shown to be negatively affected by PM tasks that require a high amount of attentional resources (i.e., nonfocal tasks). This age-r ...

2019

A Deep Learning Approach for Robust Head Pose Independent Eye Movements Recognition from Videos

Jean-Marc Odobez, Rémy Alain Siegfried, Yu Yu

Recognizing eye movements is important for gaze behavior understanding like in human communication analysis (human-human or robot interactions) or for diagnosis (medical, reading impairments). In this paper, we address this task using remote RGB-D sensors ...

ACM2019

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In this paper we describe our approach to teaching applied digital signal processing (DSP) using freely-available software and inexpensive off-the-shelf hardware components. The pedagogical framework is built around simple real-time audio processing algori ...

IEEE2019