Audio-visual attractors for capturing attention to the screens when walking in CAVE systems

Grani, Francesco; Argelaguet, Ferran; Gouranton, Valérie; Badawi, Marwan; Gaugne, Ronan; Serafin, Stefania; Lécuyer, Anatole

doi:10.1109/sive.2014.7006282

Cited by 4 publications

(2 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Using sound effects, a series of human-human and human-object interactions are explained and validated. Preserving the level of presence in a VE has recently been examined by Grani et al [8].…”

Section: Audio-visual Interactionsmentioning

confidence: 99%

Audio-Visual-Olfactory Resource Allocation for Tri-modal Virtual Environments

Doukakis

Debattista

Bashford-Rogers

et al. 2019

IEEE Trans. Visual. Comput. Graphics

View full text Add to dashboard Cite

Virtual Environments (VEs) provide the opportunity to simulate a wide range of applications, from training to entertainment, in a safe and controlled manner. For applications which require realistic representations of real world environments, the VEs need to provide multiple, physically accurate sensory stimuli. However, simulating all the senses that comprise the human sensory system (HSS) is a task that requires significant computational resources. Since it is intractable to deliver all senses at the highest quality, we propose a resource distribution scheme in order to achieve an optimal perceptual experience within the given computational budgets. This paper investigates resource balancing for multi-modal scenarios composed of aural, visual and olfactory stimuli. Three experimental studies were conducted. The first experiment identified perceptual boundaries for olfactory computation. In the second experiment, participants (N = 25) were asked, across a fixed number of budgets (M = 5), to identify what they perceived to be the best visual, acoustic and olfactory stimulus quality for a given computational budget. Results demonstrate that participants tend to prioritize visual quality compared to other sensory stimuli. However, as the budget size is increased, users prefer a balanced distribution of resources with an increased preference for having smell impulses in the VE. Based on the collected data, a quality prediction model is proposed and its accuracy is validated against previously unused budgets and an untested scenario in a third and final experiment.

show abstract

Section: Audio-visual Interactionsmentioning

confidence: 99%

Audio-Visual-Olfactory Resource Allocation for Tri-modal Virtual Environments

Doukakis

Debattista

Bashford-Rogers

et al. 2019

IEEE Trans. Visual. Comput. Graphics

View full text Add to dashboard Cite

show abstract

“…In a RTN training, a child needs to shift his attention and turn his head to respond to the name call. Previous studies illustrated that visual and audio attention attractors are capable of drawing subjects’ attention and shifting it from one position to another [18, 19]. Leblanc et al [20] pointed out that voluntary shifts of attention were usually driven by the goals of the individual, whereas involuntary shifts occurred in response to the characteristics of the stimuli of which the most salient stimuli attracting attention were the exogenous ones.…”

Section: Introductionmentioning

confidence: 99%

Design of an Autonomous Social Orienting Training System (ASOTS) for Young Children With Autism

Zheng

Zhao

et al. 2017

IEEE Trans. Neural Syst. Rehabil. Eng.

View full text Add to dashboard Cite

Social communication is among the core areas of impairment for children with Autism Spectrum Disorders (ASD). The training of social orientation is important for improving social communication of children with ASD. In recent years, technology-assisted ASD intervention had gained momentum due to its potential advantages in terms of precision, sustainability, flexibility and cost. In this paper, we propose a closed-loop autonomous computer system, named ASOTS, for training social orientation skills to young children with ASD. This system is designed to detect and track a child’s attention in response to social orientation bids and help the child towards appropriate social orientation when needed. Response to name, an important social orientation skill, was used to demonstrate the functionality of the proposed system. Ten toddlers with ASD participated in a pilot user study to show whether the system could be used on young children who have been diagnosed with ASD. Another pilot user study with 10 TD infants tested whether this system has a potential to be applied for early detection for infants who were younger than the age when ASD diagnoses can be done. This was done intentionally to separately demonstrate utility and functionality for the clinical population of interest and to demonstrate functionality beyond current clinical identification capacity (i.e., infants). The results showed that the proposed system and the protocol were well tolerated by both groups, successfully captured young children’s attention, and elicited the desired behavior.

show abstract