• Archives of design research
• /
• v.16 no.2
• /
• pp.301-310
• /
• 2003

The interface design of mobile products has become a hot issue recently as a variety of products are being developed for extended usages. There have been two different views on interface design of mobile products like PDAs(personal digital assistants) or cellular phone. One 치aims that the current interface design of PC cannot be directly applied because mobile products have their own specific functions and requirements. On the meantime, the other argues that an extended application of PC metaphors to mobile products can have advantages because users'PC experiences can reduce the learning efforts and thus contribute to intuitive understanding mobile products. In this research, two types of PDAs, developed according to the aforementioned conflicting philosophies were compared and evaluated, based on laboratory-based usability testing conducted by novice users. The experiment consists of asking subjects to perform identical tasks for the two different types of products. The interaction data collected during usability testing were analyzed in terms of time taken, rate of success of tasks and errors. The experiment shows that there were some meaningful effects of users'experience of PC on the usability of PDAs.

• Journal of Korean Academy of Rural Health Nursing
• /
• v.18 no.1
• /
• pp.49-57
• /
• 2023

Purpose: This study was conducted to confirm the usability of virtual reality-based anatomy education programs for nursing college students and to identify factors that affect their usability. Methods: Data were collected from 143 nursing college students in Gyeonggi-do using a structured questionnaire from May to June 2022. The data analysis was analyzed using real numbers, percentages, means and standard deviation, ANOVA, Scheff's test, Pearson's correlation, and multiple regression using the SPSS/WIN 23.0 program. Results: The subject's usability was 4.26 points (out of 5). The variable that has the greatest influence on the usability of virtual reality-based anatomy education programs is perceived innovation (β=.370, p<.001), followed by perceived pleasure (β=.295, p=.001), perceived ease (β=.253, p<.001), smartphone usage time per day (β=.102, p=.031). These variables explained 70.6% of the usability of virtual reality-based anatomy education programs. Conclusion: The results of this study can be utilized as basic data for a virtual reality-based anatomy education program that will be developed and applied to nursing students in the future.

• Journal of the Ergonomics Society of Korea
• /
• v.36 no.4
• /
• pp.267-280
• /
• 2017

Objective: The aim of this study is to investigate key user experience factors of interactions for Head Mounted Display (HMD) devices in the Virtual Reality Environment (VRE). Background: Virtual reality interaction research has been conducted steadily, while interaction methods and virtual reality devices have improved. Recently, all of the virtual reality devices are head mounted display based ones. Also, HMD-based interaction types include Remote Controller, Head Tracking, and Hand Gesture. However, there is few study on usability evaluation of virtual reality. Especially, the usability of HMD-based virtual reality was not investigated. Therefore, it is necessary to study the usability of HMD-based virtual reality. Method: HMD-based VR devices released recently have only three interaction types, 'Remote Controller', 'Head Tracking', and 'Hand Gesture'. We search 113 types of research to check the user experience factors or evaluation scales by interaction type. Finally, the key user experience factors or relevant evaluation scales are summarized considering the frequency used in the studies. Results: There are various key user experience factors by each interaction type. First, Remote controller's key user experience factors are 'Ease of learning', 'Ease of use', 'Satisfaction', 'Effectiveness', and 'Efficiency'. Also, Head tracking's key user experience factors are 'Sickness', 'Immersion', 'Intuitiveness', 'Stress', 'Fatigue', and 'Ease of learning'. Finally, Hand gesture's key user experience factors are 'Ease of learning', 'Ease of use', 'Feedback', 'Consistent', 'Simple', 'Natural', 'Efficiency', 'Responsiveness', 'Usefulness', 'Intuitiveness', and 'Adaptability'. Conclusion: We identified key user experience factors for each interaction type through literature review. However, we did not consider objective measures because each study adopted different performance factors. Application: The results of this study can be used when evaluating HMD-based interactions in virtual reality in terms of usability.

• Journal of Korean Library and Information Science Society
• /
• v.40 no.2
• /
• pp.223-242
• /
• 2009

This is an exploratory study targeting initial users to evaluate the usability of an aggregator-supplied full-text database and to analyze the differences in task performance and perceptions based on participant characteristics. The differences in completion time and perceptions on ease of use, terminology, subject categories and satisfaction were analyzed based on the participant characteristics such as Kolb learning style, gender and participation in user instruction on full-text databases. The results indicated that there was a statistically significant difference in completion time based on the Kolb learning style. Also a statistically significant difference was found in perceptions on ease of use and terminology based on gender. However no statistically significant difference was found in perceptions on the usability of the database based on the participation in user instruction.

• Educational Technology International
• /
• v.25 no.1
• /
• pp.1-25
• /
• 2024

This study aims to analyze the impact of learners' usability perceptions of topic modeling-based visual feedback and generative AI interpretation on reflection levels in online discussions. To achieve this, we asked 17 students in the Department of Korean language education to conduct an online discussion. Text data generated from online discussions were analyzed using LDA topic modeling to extract five clusters of related words, or topics. These topics were then visualized in a network format, and interpretive feedback was constructed through generative AI. The feedback was presented on a website and rated highly for usability, with learners valuing its information usefulness. Furthermore, an analysis using the non-parametric Mann-Whitney U test based on levels of usability perception revealed that the group with higher perceived usability demonstrated higher levels of reflection. This suggests that well-designed and user-friendly visual feedback can significantly promote deeper reflection and engagement in online discussions. The integration of topic modeling and generative AI can enhance visual feedback in online discussions, reinforcing the efficacy of such feedback in learning. The research highlights the educational significance of these design strategies and clears a path for innovation.

• The Journal of the Korea Contents Association
• /
• v.18 no.1
• /
• pp.164-172
• /
• 2018

This study explores how to implement a learning experience-based professionalism program for a medical students and evaluates its program through effectiveness and usability test. This study aims to provide practical implications for experience-based learning in an undergraduate level. Seventy four first-year medical students enrolled in PDS1(Patient-Doctor-Society 1): professionalism, one-week block (30 hours), one-credit program based on a experience-based learning model. All of the students were given six learning themes and learning resources and supporting tools, and conducted stepwise learning activities; preparation, organization, sharing, reflection and evaluation of experiences. The effectiveness of learning was evaluated by comparing the pre and post results of student's self-assessment on 24 questionnaire items about professionalism. After the course, the students and instructors conducted a usability evaluation of the program through questionnaires or group interviews. Learners' self-assessment results of professionalism such as leadership, self-directed learning, professional attitude, and social accountability all showed significant differences between the pre- and post-test. Satisfaction of the program was distributed to 3.58~3.78 according to items. Instructors and learner interviews confirmed practical usability throughout the course design, implementation and students evaluation. The results of the study showed the feasibility of implementing learning experience-based professionalism program in medical school. This study provides practical implications to develope and evaluate the learning experience-based professionalism program in medical education.

• Journal of Fisheries and Marine Sciences Education
• /
• v.21 no.1
• /
• pp.161-172
• /
• 2009

The purpose of this study was to investigate the improvement of the educational web service by using of usability test. For this purpose, a case study was performed with three teachers. They solved three problems, which were linked to the usability of educational web site, with think-aloud. All their actions in the screen and their verbalizations were recorded as computer files. Recoded data were analyzed with the task-performance time analysis, behavior code analysis, and problem behavior graph analysis. From the result of analysis, five improvement strategies were proposed for the development of EDUNET which is an educational information service system and a national teaching & learning center.

• Proceedings of the Korea Multimedia Society Conference
• /
• 2002.05d
• /
• pp.1040-1045
• /
• 2002

This paper described the developed website usability evaluation system in terms of Kansei engineering using neural network. Developed system simultaneously operates with the MS Internet Explorer by entering the target URL for usability evaluation, and the results are learned using neural network. We firstly derived the Kansei adjectives and website usability factors and they were matched by the correspondence analysis. Then, highly corresponded adjectives were implemented on the system for the Kansei evaluation. Finally, the results showed the appropriate efficiency of developed algorithm and system for the website evaluation. If more subjects were used for the system learning, the efficiency of system could be improved.

• Asia pacific journal of information systems
• /
• v.30 no.4
• /
• pp.832-846
• /
• 2020

Service organizations increasingly adopt data-based intelligent engines called chatbots in support of the interaction between customers and the companies. Two different types of chatbots have been suggested and introduced by companies leading the adoption of this emerging technology: rule-based chatbots and natural language processing-based chatbots. While the differences between these two types of technologies look relatively clear, the organizational and practical impacts of the differences have not been systematically explored. This study performed an experiment to compare the use of the two different types of chatbots used in practice by two comparable organizations. These two types of actual chatbots were used by Korean on-line shopping malls with similar business models (mobile shopping), length of history, size and reputation. The comparison was made based on such dimensions as usability, searchability, reliability and attractiveness. Contraty to conventional expectation that the superiority in technology will produce superior usability, the results show mixed superiority. The discussion on the reasons is presented.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.17 no.3
• /
• pp.227-234
• /
• 2017

In this paper, we propose a system whereby one can automatically classifies categories based on image data of the products for a shopping mall platform. Many products sold within internet shopping malls are classified their category defined by the same use of product names and products. However, it is difficult to search by category classification when the classification of the product is uncertain and the product classified by the shopping mall seller judgment is different from the purchasing user judgment. We proposes classification and retrieval method by Deep Learning technique solely using product image. The system can categorize products by using their images and its speed and accuracy are quantified using test data. The performance is evaluated with the test data. In addition, its usability is tested with the participants.