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Factors influencing human centric model for better passenger experiences using smart security system in dubai airport
Due to the increase number of passengers, security infrastructure is crucial and caused security process and services involved in every phases of passenger's travel life cycle and leads to long waiting lines at screening point. This has led to unpleasant experience on the passenger at the airport. Thus, it is necessary to design a security infrastructure that incorporates human perspectives and needs. To do this, this study presents the analysis of factors that influence the passenger experience in using smart security system at airport through Human-Centric designed model. This paper reports a study that investigates the relationship of seven human factors to passenger experience using the smart security system at Dubai International Airport. A survey involving 400 respondents at the airport was conducted. Stratified sampling was used to determine the sample and the questionnaire was distributed via online and face-to-face. Multiple regression analysis using SPSS was adopted to test the seven hypothesis and validate the human-centric model. It was found that six human factors, namely emotional/feeling, behavior, needs and requirements, usability, trust and ergonomic were accepted, while one human factor, namely cognitive was rejected. The results serve as a validation to propose a new human-centric design model of smart security system at airport. Considering the importance of security at the airport, it is expected that this model could be used as guidance to design a smart airport security system that specifically addresses human needs and behaviors. © 2021 Little Lion Scientific.
Journal of Theoretical and Applied Information Technology
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