TA Gelaim
A hybrid intelligent agent for notification of users distracted by mobile phones in an urban environment
Gelaim, TA; Langer, GA; Santos, ER; Silveira, RA; O'Hare, JJ; Kendrick, P; Fazenda, BM
Authors
GA Langer
ER Santos
RA Silveira
JJ O'Hare
P Kendrick
Dr Bruno Fazenda B.M.Fazenda@salford.ac.uk
Reader
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.
Citation
Gelaim, T., Langer, G., Santos, E., Silveira, R., O'Hare, J., Kendrick, P., & Fazenda, B. (2019, February). A hybrid intelligent agent for notification of users distracted by mobile phones in an urban environment. Presented at 11th International Conference on Agents and Artificial Intelligence (ICAART), Prague, Czech Republic
Presentation Conference Type | Other |
---|---|
Conference Name | 11th International Conference on Agents and Artificial Intelligence (ICAART) |
Conference Location | Prague, Czech Republic |
Start Date | Feb 19, 2019 |
End Date | Feb 21, 2019 |
Online Publication Date | Feb 21, 2019 |
Publication Date | Feb 21, 2019 |
Deposit Date | Mar 18, 2019 |
Publicly Available Date | Mar 18, 2019 |
Book Title | Proceedings of the 11th International Conference on Agents and Artificial Intelligence |
DOI | https://doi.org/10.5220/0007397802750284 |
Publisher URL | https://doi.org/10.5220/0007397802750284 |
Related Public URLs | http://www.icaart.org/?y=2019 |
Additional Information | Additional Information : Proceedings ISBN: 978-989-758-350-6 Event Type : Conference |
Files
ICAART_2019_118.pdf
(6.2 Mb)
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