Anzeige
Erschienen in:
2017 | OriginalPaper | Buchkapitel
The Passenger Decision Making Mechanism of Self-service Kiosk at the Airport
verfasst von : Keiichi Ueda, Setsuya Kurahashi
Erschienen in: New Frontiers in Artificial Intelligence
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
We examine how individuals decide to use self-service technology. The decisions made by individuals between options of service are to be located in various contexts, including that of their traits. We focus on the check-in process for air travelers at the airport and map the actual existing world onto the experimental space to represent the decision making process in an agent-based model (ABM). Real-world data, taken from an airline’s system, is used to verify and validate the model. A cognitive model is implemented in ABM, which utilizes a fuzzy inference system to model each agent’s choice. Passenger behavior is carefully designed based on the knowledge of experienced front-line airport customer-service experts and is also reviewed and clarified by on-site observations. We also discuss how to validate the effectiveness of ABM in the end.