Ménélas Bob-Antoine-Jerry. (2014). Virtual reality technologies (visual, haptics, and audio) in large datasets analysis. Dans Mao Lin Huang et Weidong Huang (dir.), Innovative approaches of data visualization and visual analytics. (p. 111-132). Advances in data mining and database management (ADMDM) book series. Hershey, PA : IGI Global.
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URL officielle: http://dx.doi.org/doi:10.4018/978-1-4666-4309-3.ch...
Résumé
With the latest developments in technology, several researchers have integrated other sensorymotor channels in the analysis of scientific datasets. In addition to vision, auditory feedbacks and haptic interactions have been exploited. In this chapter we study how these modalities can contribute to effective analysis processes. Based on psychophysical characteristics of humans the author argues that haptics should be used in order to improve interactions of the user with the dataset to analyze. The author describes a classification that highlights four tasks for which haptics seems to present advantages over vision and audio. Proposed taxonomy is divided into four categories: Select, Locate, Connect and Arrange. Moreover, this work provides a complete view on the contribution of haptics in analysis of scientific datasets.
Type de document: | Chapitre de livre |
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Date: | 2014 |
Lieu de publication: | Hershey, PA |
Identifiant unique: | 10.4018/978-1-4666-4309-3.ch006 |
Sujets: | Sciences naturelles et génie > Sciences mathématiques > Informatique |
Département, module, service et unité de recherche: | Départements et modules > Département d'informatique et de mathématique |
Éditeurs: | Huang, Mao Lin Huang, Weidong |
Mots-clés: | informatique, information visualization |
Déposé le: | 14 déc. 2020 19:41 |
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Dernière modification: | 14 déc. 2020 19:41 |
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