This study aims to identify the toothbrush appearance factors that affect baby boomers purchasing decisions. The research divide into three stages: The first stage is to classify the toothbrush appearance factors through a review of literature, research, and examining toothbrushes currently available on the market, summarizing them as appearance factors. The second stage is to summarize the results of the toothbrush appearance factors to create a multiple-choice questionnaire in three dimensions: purchasing decisions, aesthetics, and functionality. Collecting data from a group of 30 Baby Boomers aged 57-75 years old. The last stage is to summarize the three dimensions of appearance factors affecting baby boomers' toothbrush purchasing decisions and report as percentages and rank them. The research findings indicate that the most significant toothbrush appearance factor is a "Curved handle," accounting for 80%, followed by “Multi-level bristles” at 70%, a "Rubber thumb rest" at 53.3%, "Handle divided into more than two parts" at 50%, and “Offset shape” at 40%, respectively. In terms of the reason for purchasing decision based on various factors are as follows: the curved handle and offset shape give a sense of purchase with its aesthetic, While the selection of multi-level bristles, the Rubber thumb rest, and the handle divided into more than two parts due to functionality.
เทรนด์ผู้สูงอายุเป็นเทรนด์ที่ได้รับความสนใจเป็นอย่างมาก แต่แบรนด์ส่วนใหญ่ยังไม่ปรับตัวเพื่อให้เหมาะกับเทรนด์ผู้สูงอายุอย่างชัดเจน ข้อมูลการออกแบบจากโครงการนี้จึงเป็นประโยชน์ต่อนักออกแบบและธุรกิจที่กำลังสนใจกลุ่มผู้สูงอายุซึ่งกำลังมีสัดส่วนที่มากขึ้นเรื่อยๆในประเทศไทย ผู้วิจัยจึงสนใจทำการเก็บข้อมูลและวิเคราะห์ปัจจัยรูปร่างภายนอกที่มีผลต่อการตัดสินใจซื้อแปรงสีฟันของประชากรกลุ่มเบบี้บูมเมอร์ เพื่อเป็นฐานข้อมูลที่อาจเป็นประโยชน์ต่อผู้ประกอบหรือนักออกแบบต่อไป
คณะเทคโนโลยีสารสนเทศ
KinderForest : Puzzle Building Game with VR Technology is designed to utilize Virtual Reality (VR) technology with the primary aim of promoting creative problem-solving skills and basic practical application abilities among players. This project presents the game in an Augmented Virtual Reality (AR VR) format, emphasizing physical engagement of players during gameplay while fostering creativity and fundamental application skills. The project team has chosen to utilize Unreal Engine 5.1 and Oculus Quest 2 virtual reality glasses to develop the game in the form of augmented virtual reality technology. Within the game, there will be various levels that require creative thinking and different approaches to pass. Time constraints will be a crucial element in completing missions and progressing through these levels. Players will physically move their bodies in response to in-game movements. Each level will present unique challenges that will necessitate both physical movement and problem-solving skills. The game will provide different rewards based on the outcomes of mission completion, and players will be informed of their results once they have successfully passed a level.
คณะวิศวกรรมศาสตร์
This research aims to develop a portable prototype device for non-invasive blood glucose and vital sign monitoring, integrating Near-Infrared Spectroscopy (NIR) with biosensor systems and Artificial Intelligence (AI)-based data analysis. The device addresses the limitations of conventional blood-drawing methods that are impractical for elderly patients and those in remote areas. Designed to be user-friendly, low-cost, and capable of real-time result display, the device is intended for use in community-based healthcare settings such as local clinics and sub-district health promotion hospitals, with strong potential for future commercial development.
คณะวิศวกรรมศาสตร์
Artificial intelligence for agriculture and environment is a collection of significant models for enviromental friendly Thailand development. The models create with machine learning and deep learning by Near infrared spectroscopy research center for agricultural and food products, including: Determining the nutrient needs (N P K) of durian trees by measuring durian leaves using a non-destructive technique using artificial intelligence, Identification of combustion properties of biomass from fast-growing trees and agricultural residues using non-destructive techniques combined with artificial intelligence, and Evaluation of global warming due to biomass combustion using non-destructive techniques using artificial intelligence. The basic technology used is Near infrared Fourier transform spectroscopy technology which measurement and output display can be done quickly without chemical, no requirement for special expert, and measurement price per sample is very low. But the instrument cannot be produced in Thailand.