Satcharoen, Kleddao
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Item type:Publication, The effect of icon entropy, icon concreteness and time on human selection accuracy(2019-02-01)This paper reports on an experimental study that included engineering faculty undergraduates (n = 400) to measure the effect of icon entropy and icon concreteness on selection accuracy within time constraint conditions (15 seconds, 10 seconds, and 5 seconds). The research was undertaken as an exploratory tool to study the potential effects and interactions of entropy, which has been poorly studied as a possible factor in icon selection outcomes despite existing knowledge that entropy is perceivable by humans and can influence their behaviors. This May be particularly important in small-screen computing where icon size and resolution May pose a challenge for perception, and where entropy May interfere further by introducing high salience. Results showed that conditions of high entropy resulted in lower categorization accuracy for both high and low concreteness icons. However, these differences were only significant under the strictest time constraint (5 seconds). - Some of the metrics are blocked by yourconsent settings
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Item type:Publication, Does size matter in the speed and accuracy on image identification?(2017-12-13)Icon images need to be presented in correct sizes and their perceptions must be accurate for the end users to perform appropriate tasks as intended. This study investigates whether six different sizes of icon images affect image identification in terms of response time and accuracy. The results of the experiment show that although a general trend, i.e. the larger the image gets, the lesser response time and more accurate the image identification becomes, appears to hold, the difference of the measurements of response time among some icon images is in fact insignificant. A similar observation is also made for accuracy of image identification. The result of this investigation indicates that a wider and more thorough study of the size issue over commonly used icon images is needed. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The influence of colour on intention to adopt food delivery service mobile app(2017-11-24)This research investigates the connections between colour usage, food appetite, and intention to adopt a food delivery services mobile app. Although research has established a connection between colour perception and appetite, hunger, and food choice, the research was designed to explore the importance of colour in app design and the link between appetite for food and adoption of the app. The research used a quantitative, scenario-based online questionnaire distributed to Thai mobile Internet users (n = 398). Users were asked about their perception of the colours and appetite, followed by a mobile app adoption scenario. Results showed that Orange, Red, Yellow, and Blue were associated with food appetite, while Orange, Red, and Blue were associated with adoption intention. Food appetite and adoption intention were positively and strongly associated. The implication of this research is that app designers need to consider the psychological implications of their aesthetic design. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Enhancing Odor Classification of Essential Oils with Electronic Nose Data(2024-01-01); In the current business landscape, the fragrance industry has gained substantial prominence. In this context, there is a requirement to create the most compact and sufficiently accurate model possible, suitable for deployment on a portable device. The aim is to develop a model capable of effectively classifying various fragrance types based on data pertaining to air properties and fragrance component attributes. This paper presents the feature extraction from the dataset electronic node to classify odor types using a machine learning model compared before and after the feature extraction of the dataset. In our investigation, we employed datasets of varying sizes, including small datasets (composed of 1000 samples), large datasets (composed of 10000 samples), and raw datasets (composed of 21000 samples). This methodology was employed to discern disparities in model performance, average accuracy, and computational runtime across these different dataset sizes. We observed that the decision tree model, post-training with principal component analysis, showed a performance improvement when compared to the basic machine learning model. Specifically, the decision tree model achieved accuracy rates of 100.00%, 99.97%, and 97.00% respectively. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Differential effects of gender on entropy perception(2017-01-01)The purpose of this research is to examine differences in perception of entropy (color intensity) between male and female computer users. The objectives include identifying gender-based differences in entropy intention and exploring the potential effects of these differences (if any) on user interface design. The research is an effort to contribute to an emerging field of interest in gender as it relates to science, engineering and technology (SET), particularly user interface design. Currently, there is limited evidence on the role of gender in user interface design and in use of technology generally, with most efforts at gender-differentiated or customized design based on stereotypes and assumptions about female use of technology or the assumption of a default position based on male preferences. Image entropy was selected as a potential characteristic where gender could be a factor in perception because of known differences in color perception acuity between male and female individuals, even where there is no known color perception abnormality (which is more common with males). Although the literature review suggested that training could offset differences in color perception and identification, tests in untrained subject groups routinely show that females are more able to identify, match, and differentiate colors, and that there is a stronger emotional and psychosocial association of color for females. Since image entropy is associated with information content and image salience, the ability to identify areas of high entropy could make a difference in user perception and technological capabilities. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Effect of Entropy in Icons and Background on Selection Accuracy(2018-09-11)The purpose of this research is to study the effect of icon and background entropy on selection accuracy under differing cognitive conditions. A series of two experiments are reported here. Both experiments used a 4x2 design (very high/ high/ medium/ low entropy background x high/ low entropy icon), measuring selection accuracy under two different conditions (untimed/3 second timed). The sample included undergraduate students at a university in Thailand (n = 100). Results were analysed using chi-square. The analysis showed that under untimed conditions, there were no significant differences in selection accuracy between different background and icon entropy levels. However, under timed conditions, very high entropy background/high entropy icon selection was significantly lower than other conditions, while low entropy background/low entropy icon selection was higher. This implies that while under normal conditions, visual entropy in field or figure does not impede distinguishing different figures, under conditions of cognitive stress entropy could reduce ability to distinguish such images. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Factors that Affect the Selecting of Sticker Image on Social Media Application: A Case Study of Retired People Purchasing Behavior in Thailand(2022-01-01); This research aimed to investigate factors that influence retirees in Thailand on selection of Line stickers image to purchase. The study uses an integrated model of attitude-behavior decision-making, incorporating the theory of planned behavior (TPB) and technology acceptance model (TAM) along with personal and demographic factors. The data were collected via online questionnaire survey, from 400 retirees who live in Thailand. The results showed that an integrated model that incorporated TPB and TAM was generally successful at predicting consumer attitudes, behavioral intentions, and behaviors toward the purchase of Line stickers image. However, there was a notable exception, which was that subjective norms did not have a significant effect on attitudes except for perceived ease of use. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Icon concreteness effect on selection speed and accuracy(2018-04-23)The purpose of this research is studying the interaction of icon concreteness and response time in a sample of experienced users of a popular real-world software program (n = 100 users). The research used an experimental approach, with three trials of six icons each (three abstract and three concrete icons), for a total of 1800 trials. The results showed that reaction times were similar for concrete and abstract icons. However, response accuracy was different. While accuracy of fast reactions (3 seconds or less) was similar, a chi-square analysis showed statistically significant differences in accuracy for the three longer reaction times (4-6 seconds, 7-9 seconds, and 9+ seconds) (p < 0.05). The results imply that even for experienced users, icon concreteness makes a difference in semantic distance and cognitive processing load, resulting in differences in response accuracy. Thus, even programs designed for experienced users should use more concrete icons where possible.