A new approach for spatio-temporal data mining

被引:0
|
作者
Cassat, Sabine [1 ]
Irani, Pourang [2 ]
Serrano, Marcos [1 ]
Dubois, Emmanuel [1 ]
机构
[1] Univ Toulouse, IRIT, F-31400 Toulouse, France
[2] Univ Manitoba, Winnipeg, MB, Canada
来源
ACTES DE LA 30 CONFERENCE FRANCOPHONE SUR L'INTERACTION HOMME-MACHINE - (IHM 2018) | 2018年
关键词
Spatio-temporal dataset; data visualization; tangible interaction; robotics;
D O I
10.1145/3286689.3286718
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Spatio-temporal datasets (STD) are generated daily. Generally, their visualization includes 2D renderings or animated visualizations that do not fit to the exploration of such complex data. In this paper, we present an alternative approach to current STD visualizations. Our approach uses tangible and visual tools such as mini-robots and a tactile interaction screen to facilitate access, interpretation and manipulation of this kind of data. While tangible elements have been introduced to represent information, our system provides a new approach to explore multidimensional datasets that conventional tools would not allow.
引用
收藏
页码:163 / 169
页数:7
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