Authors:
Thiago Â. Gelaim
1
;
Gabriel A. Langer
1
;
Elder R. Santos
1
;
Ricardo A. Silveira
1
;
John O’Hare
2
;
Paul Kendrick
2
and
Bruno M. Fazenda
2
Affiliations:
1
Graduate Program in Computer Science (PPGCC), Department of Informatics and Statistics, Federal University of Santa Catarina and Brazil
;
2
Acoustics Research Centre, University of Salford, Salford M5 4WT and U.K.
Keyword(s):
Situational Awareness, Bayesian Networks, Predictive Model.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Bayesian Networks
;
Enterprise Information Systems
;
Hybrid Intelligent Systems
;
Soft Computing
;
Symbolic Systems
;
Uncertainty in AI
Abstract:
Mobile devices are now ubiquitous in daily life and the number of activities that can be performed using them is continually growing. This implies increased attention being placed on the device and diverted away from events taking place in the surrounding environment. The impact of using a smartphone on pedestrians in the vicinity of urban traffic has been investigated in a multimodal, fully immersive, virtual reality environment. Based on experimental data collected, an agent to improve the attention of users in such situations has been developed. The proposed agent uses explicit, contextual data from experimental conditions to feed a statistical learning model. The agent’s decision process is aimed at notifying users when they become unaware of critical events in their surroundings.
