Παρακαλώ χρησιμοποιήστε αυτό το αναγνωριστικό για να παραπέμψετε ή να δημιουργήσετε σύνδεσμο προς αυτό το τεκμήριο:
https://hdl.handle.net/20.500.14279/28998
Πεδίο DC | Τιμή | Γλώσσα |
---|---|---|
dc.contributor.author | Michail, Harris | - |
dc.contributor.author | Gregoriades, Andreas | - |
dc.contributor.author | Dimitriou, Loukas | - |
dc.contributor.author | Pampaka, Maria | - |
dc.contributor.author | Georgiades, Michael | - |
dc.date.accessioned | 2023-04-03T09:35:45Z | - |
dc.date.available | 2023-04-03T09:35:45Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | 12th International Workshop on Agents in Traffic and Transportation held in conjunction with IJCAI-ECAI, 2022 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/28998 | - |
dc.description.abstract | Pedestrian tourists are considered the most vulnerable road users of urban mobility environments. Tourists are a special category of pedestrians, exhibiting different visual behaviour to residents due to their enthusiasm and unfamiliarity with the environment. These characteristics of pedestrian touristsinfluence their hazard perception. Eye tracking technology became popular in investigating pedestrian safety problems after findings that eye-gaze behaviour is linked with human attention and hazard anticipation. The majority of eye-tracking studies to date use stationary technology that may miss out important properties relating to environmental dynamics that cannot be accurately simulated. This study employs a novel method utilising mobile eye-tracking technology in naturalistic settings to investigate the application of machine learning in identifying differences between tourist and resident pedestrians’ visual behaviour. Eye tracking metrics are used to train an Extreme Gradient Boost (XGBoost) model to examine whether tourists have less hazard perception than residents when visiting destinations with opposite driving conventions to their own. Preliminary results with a small group of tourist and resident pedestrians demonstrate how such machine learning models could be used in real-time by agent-based systems that utilise wearable augmented reality displays to support hazard perception of tourist pedestrians. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.rights | ©️ Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). | en_US |
dc.subject | Wearable Augmented Reality Displays | en_US |
dc.subject | Pedestrian safety | en_US |
dc.subject | Mobile eye tracking | en_US |
dc.subject | XGBoost classification | en_US |
dc.title | Machine Learning Analysis of Pedestrians' Hazard Anticipation from Eye Tracking Data | en_US |
dc.type | Conference Papers | en_US |
dc.link | https://ceur-ws.org/Vol-3173/10.pdf | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.collaboration | University of Cyprus | en_US |
dc.collaboration | University of Manchester | en_US |
dc.collaboration | Neapolis University Pafos | en_US |
dc.subject.category | Electrical Engineering - Electronic Engineering - Information Engineering | en_US |
dc.journals | Open Access | en_US |
dc.country | Cyprus | en_US |
dc.country | United Kingdom | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.relation.conference | 12th International Workshop on Agents in Traffic and Transportation held in conjunction with IJCAI-ECAI 2022 | en_US |
cut.common.academicyear | 2022-2023 | en_US |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
item.grantfulltext | open | - |
item.openairecristype | http://purl.org/coar/resource_type/c_c94f | - |
item.cerifentitytype | Publications | - |
item.openairetype | conferenceObject | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.dept | Department of Communication and Marketing | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.faculty | Faculty of Communication and Media Studies | - |
crisitem.author.orcid | 0000-0002-8299-8737 | - |
crisitem.author.orcid | 0000-0002-7422-1514 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
crisitem.author.parentorg | Faculty of Communication and Media Studies | - |
Εμφανίζεται στις συλλογές: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
Αρχεία σε αυτό το τεκμήριο:
Αρχείο | Μέγεθος | Μορφότυπος | |
---|---|---|---|
10.pdf | 653.14 kB | Adobe PDF | Δείτε/ Ανοίξτε |
CORE Recommender
Page view(s) 50
266
Last Week
0
0
Last month
32
32
checked on 14 Μαρ 2025
Download(s) 50
119
checked on 14 Μαρ 2025
Google ScholarTM
Check
Όλα τα τεκμήρια του δικτυακού τόπου προστατεύονται από πνευματικά δικαιώματα