Research on Affective Ergonomics of User Preferences towards Train Compartment Design

Abstract

Trains as public transportation have experienced quite significant passenger growth. One type of train that has just been developed is a compartment, a room to maintain passenger’s privacy during the trip. However, train design needs to pay more attention to passenger preferences. Uncovering this can be done using the Kansei Engineering method, which has successfully increased the value of products such as cars and others. Previously, research had been carried out with the results of favorite compartment designs with a minimalist theme, green color palette, decorative painting, glossy, and dominant wood motif finishing. However, this research has not addressed the affective side’s influence on design specifications more deeply. The research objective is to determine train compartment interior design specifications that suit user preferences and respondent clustering. This research will be carried out using a questionnaire with a semantic differential scale, which is tested using Principal Component Analysis (PCA) and Cluster Analysis. The research results show that user preferences influence the interior design specifications of the compartment and the favorite design samples chosen by most respondents. The results of this research can be a reference for train manufacturers and the general public.