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Design of Ganja, Thai Chat-bot Character is a research and development study with the objectives to study the cannabis leaf identities and character design process and to design Ganja, Thai chat-bot character. The design process consisted of 1) brainstorming for determination of specifications and requirements, 2) studying the cannabis leaf identities and character design process, 3) determining keywords and design requirements, 4) brainstorming for analysis and selection of keywords, and 5) designing cannabis Ganja chat-bot character according to keywords, and determine the narrative concept for the character.
The results can be divided into 2 parts. Part 1 is cannabis leaf identities (Ganja) which is a palmately compound or digitate characterized as a single palm-shaped leaf consisting of 5-8 leaflets in opposite decussate. Each leaflet is long and slender in oval-shape with pronounced serration, giving the leaves a jagged, almost spiky appearance. There are 3 types of character design processes: 1) The process that focuses on studying and analyzing the design characteristics, 2) function-oriented design with specific design process, and 3) function-oriented design starting from the study, design to the development of product. Part 2: the keywords obtained during the brainstorming with the experts were used in combination with the results in part 1 in designing a character and determining the narrative concept which is Ganja chat-bot. Ganja chat-bot is characterized as a chat-bot in robot shape. Its head and body are transformed from the chat frame representing the chat. Its hair is six- pointed stars, simplified cannabis leaf shape with the aim to convey the stories instead of using an AI robot with a fan-shaped propeller on its head to fly to and reach the international level. This chat-bot has an ability to provide answers to a variety
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ACKNOWLEDGEMENT
The researcher would like to thank the management and the Department of Thai Traditional and Alternative Medicine for providing the opportunity to develop the model, which is the most valuable experience of the researcher. The research would also like to thank Khun Piemsuk Tungkawee for the academic review.
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