Eye-tracking and artificial intelligence to enhance motivation and learning

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Saliency models are image-based prediction models that estimate human visual attention. Such models, when applied to architectural spaces, could pave the way for design decisions where visual attention is taken into account. In this study, we tested the pe ...

Humans can express their actions and intentions, resorting to verbal and/or non-verbal communication. In verbal communication, humans use language to express, in structured linguistic terms, the desired action they wish to perform. Non-verbal communication ...

Defining a universal metric for Quality of Experience (QoE) is notoriously hard due to the complex relationship between low-level performance metrics and user satisfaction. The most common metric, the Mean Opinion Score (MOS), has well-known biases and inc ...

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 ...

Social learning algorithms provide models for the formation of opinions over social networks resulting from local reasoning and peer-to-peer exchanges. Interactions occur over an underlying graph topology, which describes the flow of information among the ...

Context: Exploring the design space is an important process in a design task. In this study, we considered design space exploration for the learners in vocational education and training (VET). The goal of the study was to investigate how they explore the d ...

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 ...

Humans often rely on their perspective taking skills to thrive within the world's complex relations and connections. An adequate understanding of others' spatial perspectives can increase the quality of the interaction, not only perceptually but also cogni ...

Collaborative learning appears in a joint intellectual efforts of individuals to understand an object of knowledge collectively. In their search for understanding the problems, meanings, and solutions, learners employ different multi-modal strategies. In t ...

Non-verbal behaviours play an important role in human communication since it can indicate human attention, serve as communication cue in interactions, or even reveal higher level personal constructs. For instance, head nod, a common non-verbal behaviour, c ...

Decoding visual cognition from non-invasive measurements of brain activity has shown valuable applications. Vision-based Brain-Computer Interfaces (BCI) systems extend from spellers to database search and spatial navigation. Despite the high performance of ...

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 lear ...

A medical student learning to perform a laparoscopic procedure or a recently paralyzed user of a powered wheelchair must learn to operate machinery via interfaces that translate their actions into commands for an external device. Since the user’s actions a ...

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 ...

Modelling human visual attention is of great importance in the field of computer vision and has been widely explored for 3D imaging. Yet, in the absence of ground truth data, it is unclear whether such predictions are in alignment with the actual human vie ...

Humor is an essential human trait. Efforts to understand humor have called out links between humor and the foundations of cognition, as well as the importance of humor in social engagement. As such, it is a promising and important subject of study, with re ...

We adopted an achievement goal complex framework (studying achievement goals and reasons connected to goals) to determine when and why performance goals predict exploitation of others' knowledge. We hypothesized that: (i) when selective assessment is used ...

At the core of the contribution of this dissertation there is an augmented reality (AR) environment, StaticAR, that supports the process of learning the fundamentals of statics in vocational classrooms, particularly in carpentry ones. Vocational apprentice ...

Autonomous trajectory generation through generalization requires a database of motion, which can be difficult and time consuming to obtain. In this paper, we propose a method for autonomous expansion of a database for the generation of compliant and accura ...

Eye and gaze movements play an essential role in identifying individuals' emotional states, cognitive activities, interests, and attention among other behavioral traits. Besides, they are natural, fast, and implicitly reflect the targets of interest, which ...

Eye-tracking and artificial intelligence to enhance motivation and learning

Chattez avec Graph Search

Saliency prediction in 360° architectural scenes: Performance and impact of daylight variations

Non-verbal Communication between Humans and Robots: Imitation, Mutual Understanding and Inferring Object Properties

Learning a QoE Metric from Social Media and Gaming Footage

The Gaze Dialogue Model: Nonverbal Communication in HHI and HRI

Explainability and Graph Learning From Social Interactions

How Florist Apprentices Explore Bouquet Designs: Supporting Design Space Exploration for Vocational Students

Modeling and Inferring Attention between Humans or for Human-Robot Interactions

Exploring Spatial Perspective Taking in Human-Robot Interaction

AlloHaptic: Robot-Mediated Haptic Collaboration for Learning Linear Functions

Accurate Nod and 3D Gaze Estimation for Social Interaction Analysis

Towards everyday brain-computer interfacing through decoding visual cognition

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

The dynamics of motor learning through the formation of internal models

Teaching Practical DSP with Off-the-Shelf Hardware and Free Software

Towards Modelling of Visual Saliency in Point Clouds for Immersive Applications

Reverse-Engineering Satire, or "Paper on Computational Humor Accepted despite Making Serious Advances"

When and why performance goals predict exploitation behaviors: An achievement goal complex analysis of the selection function of assessment

Augmented Reality to Facilitate a Conceptual Understanding of Statics in Vocational Education

Accelerated Sensorimotor Learning of Compliant Movement Primitives

Robust Eye Tracking Based on Adaptive Fusion of Multiple Cameras