CHATBOT INTERACTION DESIGN ON WARDROBE MANAGEMENT

• Main Author: Hadi, Nicholas
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/41790
• Institution: Institut Teknologi Bandung

Sustainable fashion comes as a form of criticism and concern from consumers about the impact of the fashion industry related to fast fashion trends on the environment and social economy. Consumers are starting to look for further information related to this sustainability movement but are still often confused to participate in fashion activities in their lives. Simple activities like managing wardrobe, own clothes creation, increasing clothes reuse can be done as a form of support from consumers. The desire of consumers to interact further can be supported by utilizing the development of information technology with new interactions such as chatbots. The capability of chatbot technology can be an opportunity and alternative solution that is able to solve difficult problems. This study discusses the design and build of chatbot interactions that can support sustainable fashion movement with fashion activity in focus on wardrobe management. The chatbot interaction design and build is carried out using user-centered design approach so that the solution designed can meet user requirements. Understanding the context of use is done by user research through conducting interviews, questionnaire survey, and user modeling followed by analysis to determine user requirements. The chatbot solution design is named Mariel Assistant with seven main features to answer user requirements that have been analyzed. The solution design is then implemented in the form of a chatbot prototype on Line Messenger platform. Evaluation of the chatbot prototype interaction design is done by usability testing. The test results show that the chatbot prototype interaction design is considered as good with the success of twelve usability testing tasks given to eight target users and the results from evaluation questionnaire with average score above four out of total five points on usability goals and user experience goals for each feature on the chatbot system.