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
คณะเทคโนโลยีการเกษตร
Efficient durian orchard development requires integrating knowledge, technology, and innovation from farmers and academics to cope with environmental changes and market demands. The Durian Web-based Learning Hub is an online learning platform developed to serve as a central hub for knowledge transfer from experts and as a space for experience exchange among farmers. Users can access learning resources conveniently and continuously. This platform is part of the Innovation Project for Production and Marketing Information Management Innovation for Enhancing the Quality of Durian Production Entering into Premium Markets, supported by the Program Management Unit for Area-Based Development (PMUA)
วิทยาลัยนวัตกรรมการผลิตขั้นสูง
This research presents a Digital Twin of an Aquarium for Water Quality Monitoring, developing a virtual model that displays real-time key water parameters, including pH level, temperature, flow rate, and dissolved oxygen. Sensor data is processed and visualized through a Graphical User Interface (GUI) to reflect the real-time status of the virtual aquarium. This system enables accurate water quality monitoring and analysis while reducing reliance on expensive software solutions.
คณะวิทยาศาสตร์
In today’s rapidly expanding e-commerce environment, the massive volume of product reviews makes it crucial to summarize user opinions in a way that is both comprehensible and practically applicable. This research presents a system for analyzing product reviews using Aspect-Based Sentiment Analysis (ABSA), a Natural Language Processing (NLP) technique that identifies key aspects of a review (such as shipping, product quality, and packaging) and evaluates the sentiment (positive, negative, or neutral) associated with each aspect, allowing both consumers and merchants to gain more efficient access to in-depth insights. This project focuses on developing AI for Thai-language ABSA by utilizing WangchanBERTa, a model trained on Thai data, and comparing it with various standard approaches such as TF-IDF + Logistic Regression, Word2Vec + BiLSTM, and Multilingual BERT (mBERT/XLM-R) to assess their performance in terms of accuracy, speed, and resource usage. Additionally, a dashboard visualization is provided to help users quickly grasp review trends. The expected outcome is to create an AI tool that can be practically employed in the e-commerce industry, enabling consumers to make easier purchasing decisions and assisting merchants in effectively improving their products and services.