Abstract
As “smart airport” serve as a final goal of every airport, self-service technology (SSTs) become widely used in every airport. However, in Taiwan’s airport, only 20% of people use kiosks (automated self-service check-in machines).
From a perspective of design, human’s perception of value has been changed due to market dynamics and challenges. The functionality and usability are no longer prominent success factors in product and service design. Instead, people are more expecting to perceive value, enjoyment, or experience while using products or services.
This paper aimed at (i) using SSTQUAL and kano model to identify and prioritize user’s needs about airport kiosk, then (ii) build the relationship between emotional feeling and service attributes under the framework of attractiveness engineering, and using quantification theory type-I to quantify the correlation.
Research result indicates sense of relax, relieve, convenience and enjoyment are the most important feelings during using kiosks. Service providers can enhance these feelings by ameliorate some kiosks’ function such as providing double-check system.
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Hsu, HM., Chen, HJ. (2021). Integrating SSTQUAL, Kano Model and Attractiveness Engineering to Analyze User’s Emotional Needs in Self Check-in Service. In: Kurosu, M. (eds) Human-Computer Interaction. Theory, Methods and Tools. HCII 2021. Lecture Notes in Computer Science(), vol 12762. Springer, Cham. https://doi.org/10.1007/978-3-030-78462-1_34
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