ICOFF: Towards building an intelligent coffee plate system to enhance coffee shop’s customer experience

• Main Authors: Thanakrit Jitapinyakul, Panuwat Phunsuk, Santi Phithakkitnukoon
• Format: Conference Proceeding
• Published: 2020
• Subjects: Computer Science
• Online Access: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85072883516&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/67709
• Institution: Chiang Mai University

© 2019 Association for Computing Machinery. Blossoming coffee culture give a rise to coffee shops in many cities around the world. In today’s coffee industry, it is no longer customer satisfaction that is important but the customer experience. This work presents a development of an intelligent coffee plate system called iCoff, which aims at enhancing coffee shop’s customer experience with a platform that allows a barista to communicate with a coffee drinker as well as enables the coffee drinker to learn more about his/her coffee, such as ingredients, temperature, and weight through an interactive coffee plate. This paper describes its hardware and software components as well as a preliminary user experience study result. It is an applied ubiquitous/pervasive technology in the context of coffee shop experience as part of our today’s urban living.