• Title/Summary/Keyword: User cognitive response

Search Result 23, Processing Time 0.029 seconds

The effect of color application on cognitive response in public facilities: The partial mediating effects of emotional response (공공시설물에서 컬러 적용이 인지반응에 미치는 영향과의 관계: 사용자 감성반응의 부분매개효과)

  • Park, Sungeuk;Myoung, Sungmin
    • Journal of Convergence for Information Technology
    • /
    • v.10 no.9
    • /
    • pp.154-163
    • /
    • 2020
  • This study aimed to examine the speed of cognitive response of users by color application for the information searching or the searching how to use the target object. Also, the purpose of this study is to explore how color application has an impact on cognitive response, and to find the mediating effect of user's emotional response. A total of 227 persons were collected and analyzed by PASW 18.0 for data analysis. In conclusion, it was confirmed that color application had a direct effect on cognitive response, suggesting that emotional response may have a slight effect. Among four sub-factors of color applications, the most contribution factor of cognitive response was the clatiry and the lowest factor was the attention.

User Response to Mobile Payment System: Emotional, Cognitive, and Behavioral Approaches (모바일 간편결제시스템 사용의 감성적, 인지적, 행동적 반응 과정 연구)

  • Choi, Yoo-Jung;Hwangbo, Hyunwoo
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.26 no.8
    • /
    • pp.1158-1164
    • /
    • 2022
  • In this study, the emotional reaction process and the cognitive reaction process were divided into the process of building trust in order to form a continuous use intention in the process of using the mobile simple payment system. We examined the process by which various external factors generate continuous use intentions, that is, behavioral responses through the process of each reaction. External factors were divided into social factors, systemic factors, and social factors. Among them, system factors were social norms and images, and systemic factors were simplicity and accessibility. And the social factors consisted of security and compatibility. And the emotional response was set as pleasure and emotional trust, the cognitive response was cognitive trust, and the final dependent variable was set as continuous use intention. A survey was conducted for model analysis, and the analysis results were derived using PLS.

< Modeling Study for Developing Motivational and Cognitive Adaptive Agent >

  • Lee, Woo-Gul;Lee, Myung-Jin;Lim, Ka-Ram;Han, Cheon-Woo;So, Yeon-Hee;Hwang, Su-Young;Ryu, Ki-Gon;Yun, Sung-Hyun;Choi, Dong-Seong;Kim, Sung-Il
    • 한국HCI학회:학술대회논문집
    • /
    • 2006.02a
    • /
    • pp.918-925
    • /
    • 2006
  • Recent development of teachable agent provides learners with active roles as knowledge constructors and focuses on the individualization. The aim of this adaptive agent is not only to maximize the learner's cognitive functions but also to enhance the interests and motivation to learn. In order to establish the relationships among user characteristics and response patterns and to extract the algorithm among variables, we measured the individual characteristics and analyzed logs of the teachable agent named KORI (KORea university Intelligent agent) through the student modeling. A correlation analysis was conducted to identify the relationships among individual characteristics, user responses, and learning outcomes. Among hundreds of possible relationships between numerous variables in three dimensions, nine key user responses were extracted, which were highly correlated with either individual characteristics and learning outcomes. The results suggest that certain type of learner responses or the combination of the responses would be useful indices to predict the learners' individual characteristics and ongoing learning outcome. This study proposed a new type of dynamic assessment for individual differences and ongoing cognitive/motivational learning outcomes through the computation of responses without measuring them directly. The construction of individualized student model based on the ongoing response pattern of the user that are highly correlated with the individual differences and learning outcome may be the useful methodology to understand the learner's dynamic change during learning.

  • PDF

The effect of behavioral and emotional change on usage mode and response-delay situation (사용 모드에 따른 반응지연 상황의 행동적, 정서적 효과)

  • Joo, Hyo-Min;Kim, Hyo-Sun;Kim, Hye-Ryeong;Han, Kwang-Hee
    • Science of Emotion and Sensibility
    • /
    • v.13 no.1
    • /
    • pp.129-146
    • /
    • 2010
  • System response times(SRTs) are getting important while increasing the function of system. In the past, most research studied SRTs on situation of computer usage. There are lacking the research on simple domain. This study focuses on behavioral and emotional effect on situation of cell phone usage(experience 1; independent variables: degree of SRTs, dependent variables: behavioral and emotional evaluation). And this study investigates the behavioral and emotional effect in same SRTs on different situation(experience 2; independent variables: degree of SRTs, usage mode, dependent variables: behavioral and emotional evaluation, stress, mental strain). The result indicated that long SRTs increased problem solving time and negative emotion. User evaluated the system differently according to usage mode after they performed the same task. In other word, if user had a strong goal, then they felt more negative emotion and mental effort than the user don't have a strong goal. In the goal mode group, it was important there are being of delay or not. This study demonstrated that SRTs and usage mode influence user's emotion and behavior performance in same task.

  • PDF

Improvement of the Cognitive Perceptual Assessment for Driving (CPAD) based on Usability Test

  • Bae, Jae-Hyuk;Lee, Jung-Ah;Choi, Hyun;Lee, Jae-Jin
    • Journal of the Ergonomics Society of Korea
    • /
    • v.34 no.4
    • /
    • pp.335-351
    • /
    • 2015
  • Objective: The aim of this study was to perform a usability test for CPAD (Cognitive Perceptual Assessment for Driving) and improve it based on the test results. Background: The cognitive perceptual assessment for driving is a computer-based assessment tool to assess the driving capacity of people with brain-damages. It may be a good tool for evaluating the brain-damaged drivers' safe driving capabilities and screening cognitive and perceptual deficits related to driving. We performed a usability test to improve the CPAD based on the result. Method: Both the software consisting of 8 sub-tests (depth perception, sustained attention, divided attention, stroop test, field dependency, digit span, trail making A, trail making B) and the hardware including the input and output devices ( joystick, mouse, keyboard, touch screen) were evaluated through user interviews. Also we identified the problems and issues in using them by observing the participants performing the CPAD tasks. Results: Based on the results, the task instructions were visually and auditorily improved and more practice examples were added to help the users understand the instructions better and increase the input accuracy, a response time window was added and the joystick and touch screen were simplified, which made it easier for the user to perform the CAPD tasks. Conclusion: User discomforts were minimized by improving the task environment, unless it had affected the evaluation criteria. Application: We plan to distribute the improved version of the CPAD to the regional rehabilitation hospitals, and the driving support centers for people with disabilities throughout the country, so it could be used as an evaluation tool for disabled drivers' cognitive and perceptual functions.

A Development of Cognitive Assessment Tool based on Brain-Computer Interface for Accident Prevention (안전사고 예방을 위한 Brain-Computer Interface 기반 인지평가 도구 개발)

  • Lee, Chung-Gi;Yu, Seon-Guk
    • Proceedings of the Safety Management and Science Conference
    • /
    • 2011.11a
    • /
    • pp.583-591
    • /
    • 2011
  • A number of Brain-Computer Interface (BCI) studies have been performed to assess the cognitive status through EEG signal. However, there are a few studies trying to prevent user from unexpected safety-accident in BCI study. The EEGs were collected from 19 subjects who participated in two experiments (rest & event-related potential measurement). There was significant difference in EEG changes of both spontaneous and event-related potential. Beta power and P300 latency may be useful as a biomarker for prevention of response to safety-accident.

  • PDF

A Development of Cognitive Assessment Tool based on Brain-Computer Interface for Accident Prevention (안전사고 예방을 위한 Brain-Computer Interface 기반 인지평가 도구 개발)

  • Lee, Chung-Ki;Yoo, Sun-Kook
    • Journal of the Korea Safety Management & Science
    • /
    • v.14 no.1
    • /
    • pp.1-6
    • /
    • 2012
  • A number of Brain-Computer Interface (BCI) studies have been performed to assess the cognitive status through EEG signal. However, there are a few studies trying to prevent user from unexpected safety-accident in BCI study. The EEGs were collected from 19 subjects who participated in two experiments (rest & event-related potential measurement). There was significant difference in EEG changes of both spontaneous and event-related potential. Beta power and P300 latency may be useful as a biomarker for prevention of response to safety-accident.

Development of a Conversational Help Agent Using Approximate Pattern Matching (근사 패턴매칭을 이용한 대화형 도우미 에이전트의 개발)

  • 김수영;조성배
    • Korean Journal of Cognitive Science
    • /
    • v.13 no.4
    • /
    • pp.1-8
    • /
    • 2002
  • As Internet grows, many web sites have been built, therefore much information has been registered. Because the web sites have more information, it is more difficult that the user can find the information wanted. Therefore, to get information that user wants easily, the full-text engine may be embedded to the web site. This paper is about developing the help conversational agent for a user to find the information that he wants through conversation with agent. The proposed method is based on the pattern matching of artificial intelligence, not natural language processing. If a user inputs any sentence, the help conversational agent responds to the sentence through preprocessing and pattern matching with knowledge. The knowledge is built with the XML format. With the approximate pattern matching, the agent picks up the appropriate response with some degree of similarities. At the experiment, some different sentences with the same meaning have been entered, then the agent recognized them as the same pattern, and it made a correct answer.

  • PDF

The effects of dental medical institutions of user reactions by mobile message type (모바일메시지 속성별 이용자 반응이 치과의료 이용의사에 미치는 영향)

  • Im, Ae-Jung;Han, Soo-Yeoun;Lim, Hee-Jung
    • The Journal of Korean Society for School & Community Health Education
    • /
    • v.20 no.2
    • /
    • pp.81-91
    • /
    • 2019
  • Objectives: It helps dental clinic to work 1:1 consulting and select the properties of the Kakao Talk message. The study was designed to determine the influence of users cognitive and emotional responses by message attribute that affect intention of use of dental clinic. Methods: This study targeted 297 peple Kakao Talk users aged 20-50 s, in Seoul, Gyeonggi-do and Incheon from, February 6 to April 7, 2017. We analyzed the data with frequency analysis, t-test, one-way ANOVA, and multiple regression analysis by using SPSS ver 24.0(SPSS Inc, Chicago, USA). The significance level for significance was set at 0.05. Results: Among the user's responses about the event type Kakao talk message, the ease(${\beta}=0.121$, p<0.01), usefulness(${\beta}=0.148$, p<0.001), affinity(${\beta}=0.471$, p<0.001), satisfaction(${\beta}=0.249$, p<0.001). affected intention of use of dental clinic. Among the user's responses about the dental information type, the ease(${\beta}=0.150$, p<0.05), expertise(${\beta}=0.151$, p<0.05), satisfaction(${\beta}=0.237$, p<0.001) affected intention of use of dental clinic(p<0.05). Among the user's responses about the general public relations type, the expertise(${\beta}=0.254$), affinity(${\beta}=0.193$), satisfaction(${\beta}=0.474$) affected intention of use of dental clinic(p<0.001). Conclusion: It is necessary to elicit a positive intention of use of dental clinic through a highly emotional response from the users to improve the image of the dental clinic and to attract patients.

A Novel Grasshopper Optimization-based Particle Swarm Algorithm for Effective Spectrum Sensing in Cognitive Radio Networks

  • Ashok, J;Sowmia, KR;Jayashree, K;Priya, Vijay
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.17 no.2
    • /
    • pp.520-541
    • /
    • 2023
  • In CRNs, SS is of utmost significance. Every CR user generates a sensing report during the training phase beneath various circumstances, and depending on a collective process, either communicates or remains silent. In the training stage, the fusion centre combines the local judgments made by CR users by a majority vote, and then returns a final conclusion to every CR user. Enough data regarding the environment, including the activity of PU and every CR's response to that activity, is acquired and sensing classes are created during the training stage. Every CR user compares their most recent sensing report to the previous sensing classes during the classification stage, and distance vectors are generated. The posterior probability of every sensing class is derived on the basis of quantitative data, and the sensing report is then classified as either signifying the presence or absence of PU. The ISVM technique is utilized to compute the quantitative variables necessary to compute the posterior probability. Here, the iterations of SVM are tuned by novel GO-PSA by combining GOA and PSO. Novel GO-PSA is developed since it overcomes the problem of computational complexity, returns minimum error, and also saves time when compared with various state-of-the-art algorithms. The dependability of every CR user is taken into consideration as these local choices are then integrated at the fusion centre utilizing an innovative decision combination technique. Depending on the collective choice, the CR users will then communicate or remain silent.