Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7134
DC FieldValueLanguage
dc.contributor.authorProf. LI Yi Man, Ritaen_US
dc.date.accessioned2022-06-07T01:46:48Z-
dc.date.available2022-06-07T01:46:48Z-
dc.date.issued2019-
dc.identifier.citationICDMML 2019: Proceedings of the 2019 International Conference on Data Mining and Machine Learning.en_US
dc.identifier.isbn9781450360906-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/7134-
dc.description.abstractClassical economics suggested that decision maker acts in a world of complete certainty. They are objective, have complete information, consider all possible alternatives and their consequences before selecting the optimal solution. Neuroeconomics is the study of the biological microfoundations of economic cognition which are neurochemical mechanisms and pathways, like brain systems, neurons, genes, and neurotransmitters. 11 respondents were recruited to conduct the eye-tracking test. They were requested to spot the hazards on sites in the picture. Heatmap and Gaze plot were used to analyze the steps in identifying the hazards among all the research participants. Results indicate that the ability of individuals vary and the steps in identifying hazards are not the same among all individuals, indicating neuroeconomics better represent the decision-making process in reality. While majority can identify missing safety belt as a hazard for working at height, one of the participant cannot identify that as a hazard and solely stare at the shoulder position as indicated by heat map. In case of multiple hazards, the problem is even worse, majority can only identify one hazard. For example, they can only spot the missing safety belt but not the unsafe scaffolding in working at height.en_US
dc.language.isoenen_US
dc.relationOcular behaviour, construction hazard awareness and an AI chatboten_US
dc.titleOcular behavior in construction hazard decision making process: Is neuroeconomics or classical economic theory closer to the reality?en_US
dc.typeConference Paperen_US
dc.relation.conferenceICDMML 2019: 2019 International Conference on Data Mining and Machine Learningen_US
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Economics and Finance-
Appears in Collections:Economics and Finance - Publication
Show simple item record

Page view(s)

76
Last Week
0
Last month
checked on Dec 4, 2024

Google ScholarTM

Impact Indices

PlumX

Metrics


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.