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Item type:Publication, Correlations Between Subjective Icon Characteristics and Entropy From A User Perspective(2026-03-20) ;Satcharoen, KleddaoTangtisanon, Pikulkaew - 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) ;Grodniyomchai, Boonyawee ;Satcharoen, KleddaoTangtisanon, PikulkaewIn 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, A Generational Cohort Comparison of Icon Selection Accuracy under Varying Conditions of Icon Entropy and Concreteness(2023-01-01) ;Satcharoen, KleddaoTangtisanon, Pikulkaew—The objective of this research was to compare icon selection accuracy under varying icon entropy and concreteness conditions between different generational cohorts (Millennial, Generation X, and Baby Boomers). These generational cohorts have different levels of experience with technology, with younger generations often being framed as “digital natives” and holding stronger technological experience and competence in comparison to older groups. Generational groups also have variations in physiological factors including visual acuity and reaction time. Despite these differences between user groups, many user interaction systems and processes are designed for a single user, rather than considering differences in user processing between different groups. Therefore, this study compares generational cohorts in their icon selection accuracy under varying icon conditions, to help identify what generational differences can be observed in this task. The study selected a sample of 150 participants (n = 50 for each generational cohort). The experiment was a 2☓2☓3 design (entropy (high/low) ☓ abstractness (abstract/concrete) ☓ time (9/6/3 seconds), with each participant completing 60 trials (five questions per entropy/abstractness pair over three timed runs). Results showed that there were significant differences in mean accuracy per trial under all of the time conditions and icon entropy and concreteness conditions. Mean differences showed that under most conditions, Millennial and Generation X participants did not have a significant mean difference, but Baby Boomers were significantly slower under almost all conditions. The implication of this finding is that Baby Boomers are more sensitive to icon abstractness and entropy conditions than other age groups tested. - 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) ;Satcharoen, KleddaoTangtisanon, PikulkaewThis 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 Size Effect on Selection Speed and Accuracy(2020-12-01)Satcharoen, KleddaoThe objective of this research is to evaluate the effect of icon size on selection speed and accuracy. An experiment was designed for investigation of icon selection on a mobile device. A set of 20 icons, with a combination of six icon sizes (16pix to 96pix square), was used to generate 120 trials per subject (n = 52). Selection time (seconds) and accuracy (accurate/inaccurate) were collected. Data was analyzed using chi-square tests. Analysis of TimexAccuracy showed that 2s had the lowest inaccuracy rates (.84%), while 5s+ had the highest inaccuracy rates (8.86%). When considering Icon SizexTime→Accuracy showed that there were significant differences for most groups. The highest inaccuracy rates were seen for small icons (48pix and smaller), and inaccuracy climbed at higher Time. The implication of this study is that icon size can negatively influence selection speed and that higher selection speed was associated with lower accuracy as well. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Mobile Phone Background Design for Older Adults: A Case Study of Line(2019-04-01)Satcharoen, KleddaoThe purpose of this study was to examine how visual characteristics like the background image could affect usability of mobile apps for older adults, using a case study of the Line messaging application. Older adults typically have a lower use of mobile Internet technologies, because of both visual and cognitive barriers and attitudes and resistance to change. The study was conducted as a qualitative observational study of 40 older adults, who were offered a brief training session on Line and then monitored at three times over a three-week period. The findings showed that post-training, many participants did change their backgrounds to suit colour preferences, mood, or vision needs. Adopters also self-discovered features like group-based background colours. Although there were a few non-adopters remaining, the study showed that training in app use encouraged senior users to use the app and to adapt it to their needs. The implication is that app-specific training could improve senior use of mobile apps. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The effect of icon entropy, icon concreteness and time on human selection accuracy(2019-02-01)Satcharoen, KleddaoThis 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
Item type:Publication, Effect of Entropy in Icons and Background on Selection Accuracy(2018-09-11)Satcharoen, KleddaoThe 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, Icon concreteness effect on selection speed and accuracy(2018-04-23)Satcharoen, KleddaoThe 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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Does size matter in the speed and accuracy on image identification?(2017-12-13)Satcharoen, KleddaoIcon 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.
