The mass digitization of books is changing the way information created, disseminated and displayed. Electronic book readers (e-readers) generally refer to two main display technologies: electronic ink (E-ink) liquid crystal (LCD). Both technologies have advantages disadvantages, but question whether one or other triggers less visual fatigue still open. aim present research was study effects technology on fatigue. To this end, participants performed a longitudinal in which last generation...

We hypothesize that the fundamental difference between expert and learner musicians isthe capacity to efficiently integrate cross-modal information. This might be anindex of an memory using both auditory visual cues built during many years oflearning extensive practice. Investigating this issue through eye-tracking experiment, two groups musicians, experts non-experts, were required report whether afragment classical music, successively displayed auditorily visually on a computer screen...

It is often said that experienced musicians are capable of hearing what they read (and vice versa). This suggests able to process and integrate multimodal information. The present study investigates this issue with an eye-tracking technique. Two groups chosen on the basis their level expertise (experts, non-experts) had excerpts poorly-known classical piano music play them a keyboard. experiment was run in two consecutive phases during which each excerpt (1) without playing (2) sight-read...

Expertise is associated with a knowledge-driven information processing approach. Experts benefit from long-term knowledge structures—chunks and retrieval structures/templates—leading them to formulate expectations about local stimulus characteristics extract projected onto distant areas the fixation location. In an attempt shed light on way impacts eye movements during music reading, this study aimed determine how expert musicians deal complexity in sight-reading task. Thirty two expertise...

The SunoCaps dataset aims to provide an innovative contribution music data. Expert description of human-made musical pieces, from the widely used MusicCaps dataset, are as prompts for generating complete songs this dataset. This Automatic Music Generation is done with state-of-the-art Suno generator audio-based music. A subset 64 pieces currently included, a total 256 generated entries. stems four different variations each human piece; two versions based on original caption and aspect...

Classical music pianists of five different conservatory levels, from undergraduate to professional, were tested on a sight-reading task with eye-movement recording. They had sight read both tonal classical scores that followed the rules specific Western music, and atonal contemporary scores, which do not follow these rules. This study aimed at determining extent eye movements musical performance metrics can account for level expertise. First, results indicated acquisition expertise,...

The current meta-analysis was conducted on 12 studies comparing the eye movements of expert versus non-expert musicians and attempted to determine which movement measures are expertise dependent during music reading. total dataset 61 comparisons divided into four subsets, each concerning one eye-movement variable (i.e., fixation duration, number fixations, saccade amplitude, gaze duration). We used a variance estimation method aggregate effect sizes. results support robust finding reduced...

The study investigated the cross-modal integration hypothesis for expert musicians using eye tracking. Twenty randomized excerpts of classical music were presented in two modes (auditory and visual), at same time (simultaneously) or successively (sequentially). Musicians (N = 53, 26 experts 27 non-experts) asked to detect a note modified between auditory visual versions, either major/minor key violating key. Experts carried out task faster with greater accuracy than non-experts. Sequential...

Music reading is the key to literacy for musicians in Western music tradition. This high-level activity requires an efficient extraction of visual information from score current needs execution. Differences eye movements between expert and non-expert during have been shown. The present study goes further, using a machine learning approach classify according their level expertise analyzing performance sight-reading. We used support vector (SVM) technique (a) investigate whether underlying...

Summary : Expertise in musical reading cross-modal integration This article presents an experiment using eye-tracking analysis to describe the role of expertise sight-reading, particularly, construction a retrieval structure (Ericsson and Kintsch, 1995) able simplify access knowledge. First, participants had listen piano scores then read perform score. Two versions were used with or without slurs either during listening phase (auditory modality) (visual modality). Results show that skilled...

In a sight-reading task, the position of eyes on score is generally further ahead than note being produced by instrument. This anticipation allows musicians to identify upcoming notes and possible difficulties plan their gestures accordingly. The eye-hand span (EHS) corresponds this offset between eye hand measures distance or latency an fixation production While EHS mostly quite short, variation in its size can depend multiple factors. increases line with musician's expertise level,...

Reading is increasingly taking place on digital media, which are vectors of attentional disruption. This manuscript aims to characterize disruption during reading a computer screen in an ecological environment. To this end, we collected information relating reader interruptions (number, type, duration, position, mental effort, and valence)

The development of eye-tracking-based methods to describe a person's indecisiveness is not commonly explored, even though research has shown that involved in many unwanted cognitive states, such as reduction self-confidence during the decision-making process, doubts about past decisions, reconsidering, trepidation, distractibility, procrastination, neuroticism and revenge. purpose our work propose predictive model subject's degree indecisiveness. To reach this goal, we first need extract...

This paper provides new research perspectives in the field of multimodal comprehension (auditory crossing visual information) by using immersion and incorporating eye tracking a virtual reality environment. The objective is to investigate influence change narrative perspective (point view) during activation mental model underlying between auditory modalities. Twenty-eight participants, equipped with headset SMI HMD HTC eye-tracking 250 Hz watched 16 scenes accompanied their corresponding...

Introduction The goal of the present study was to test effect signaling associated with feed-back in learning forest ecosystems context realistic living simulator, IVR conditions for students agriculture. Two modalities, corresponding two levels, were investigated: visual flashing elements (tree species, plants, flowers, fungi, wet-areas etc.) and marker-stones , both text pop-up windows, a 2x2 experimental plan. Methods Ninety-three pupils an agricultural technological high school had...

The SunoCaps dataset aims to provide an innovative contribution where expert description of human-made musical pieces, from the widely used MusicCaps dataset, are as promptsfor Automatic Music Generation with Suno state-of-the-art audio-based music generator. A subset 64 pieces is currently included, a total 256 entries. This stems generating four different variations for each human piece; two versions based on original caption and aspect description. As AI-generated also includes...

It is often said that experienced musicians are capable of hearing what they read (and vice versa). This suggests able to process and integrate multimodal information. The study investigates this issue with an eye-tracking technique. Two groups chosen on the basis their level expertise (experts, non-experts) had excerpts poorly-known classical piano music play them a keyboard. experiment was run in two consecutive phases during which each excerpt (1) without playing (2) sight-read (read...

Eye-tracking-based methods are generating a growing interest in marketing research. Nevertheless, most of the studies focusing on intention, emotion or evaluation products by customer. The work that is presented here investigates two main purchasing scenarios: routine act and impulse act. purpose to propose predictive model best distinguishes first scenario from second scenario. To reach this goal, we extract statistically relevant eye-tracking descriptors. We use supervised learning...