• Title/Summary/Keyword: Attitude toward Robots

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Pre-Service Teachers' Attitudes toward Robots : Analysis of Difference According to Variables (로봇에 대한 예비 교사의 태도: 변인에 따른 차이 분석)

  • Kim, Seong-Won;Lee, Youngjun
    • The Journal of Korean Association of Computer Education
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    • v.21 no.4
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    • pp.21-27
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    • 2018
  • As the fourth industrial revolution has progressed globally, computing education is progressing centered on robots. However, pre-service teachers' attitudes toward robots were negative in previous studies. In order to solve this problem, this study analyzed the difference in the attitude of the pre-service teachers to the robot according to the factors. The subjects of this study were 309 pre-service teachers attending K university. In order to measure the attitude of the pre-service teacher to the robot, the negative attitude measure for the robot was used. And, in order to measure the attitude of the pre-service teachers to the robots, negative attitude measurement scale was used. As a result, pre-service teachers showed different attitudes toward robots according to gender, experience of robot manipulation, and experiences of robot-related lectures. Especially, when the gender was male than female, and the experience of robot manipulation and the experiences of robot-related lectures, the attitude of pre-service teachers to robot was positive.

Attitude of Consumers toward Restaurant Service Robots Based on UTAUT2 Theory

  • JUNG, Se Yeon;CHA, Seong Soo
    • The Korean Journal of Food & Health Convergence
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    • v.8 no.1
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    • pp.9-16
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    • 2022
  • Recently, the use of serving robots has been increasing due to the increase in preference for non-face-to-face services and the rise in the minimum wage due to the coronavirus. When analyzing previous studies related to serving robots, it was confirmed that most of the studies on the functions and technologies of serving robots were conducted. Therefore, this study analyzed the factors affecting the attitude and customer satisfaction of restaurant consumers toward serving robots by adding performance expectations, effort expectations, and speed factors among the UTAUT2 models. The survey period was conducted from July 28, 2021 to September 9, 2021, and 306 out of a total of 310 surveys were used for analysis, excluding 4 unfaithful surveys. For the analysis, exploratory factor analysis, reliability analysis, confirmatory factor analysis, and hypothesis test were performed using SPSS 20.0 and AMOS 20.0, and the research results are as follows. First, it was found that performance expectation, effort expectation, and speed had a significant positive (+) effect on attitudes. Second, it was found that attitude had a significant positive (+) effect on customer satisfaction. This study researched customer selection attributes of robot service restaurants using the UTAUT2 model, and also provided academic and practical implications.

Analysis of effect of Invention Education program using the Hands-on robots (Hands-on robots을 활용한 발명교육프로그램 효과 분석)

  • Kim, Sungae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.615-617
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    • 2019
  • In this study, the effectiveness of the education program was analyzed through the invention education program using Hands-on Robots, the change of perception of invention and robots of primary and secondary students. The results of the study were as follows: there were many differences in robots that students recognized before and after education, and the change was noticeable in lower grades. In addition, perception of inventions included many robots after they were trained, compared to the fact that robots were not included before they were learned. There has also been a change in attitudes toward robots and their attitude toward inventions, which was more pronounced in the lower grades. By doing so, it can be analyzed that the invention education program using Hands-on robots is effective in giving elementary and secondary students a change in their perception of inventions and robots.

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The Effect of Serving Robots on Attitude and Behavioral Intention of Restaurant Customers: Focused on UTAUT2 and Moderating Effect of Shyness (서빙로봇이 레스토랑 이용고객의 태도 및 행동의도에 미치는 영향: 확장된 통합기술수용이론과 수줍음의 조절효과를 중심으로)

  • Sung Rae KANG;Sang Ho HAN;So Hye BAE;Yeo Hyun YOON
    • The Korean Journal of Franchise Management
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    • v.15 no.2
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    • pp.57-75
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    • 2024
  • Purpose: Nowadays, many restaurants use serving robots. Initially, many people thought that Covid-19 caused the spread of serving robots. However, even as the endemic, many restaurants still use serving robots. Therefore, this study examines why many customers choose restaurants with serving robots, using the UTAUT2 framework. Additionally, this study explores whether shyness has a moderating effect on these factors. Research design, data and methodology: Data were collected from 307 consumers who had visited a restaurant using a serving robot and analyzed using SmartPLS 4.0 software. A total of 286 datasets were analyzed. Result: We found that the precedence factors of UTAUT2 (Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Condition, Hedonic Motivation) had a positive effect on attitude. Furthermore, attitude had a significant positive effect on Behavioral Intention. However, shyness did not appear to have a moderating effect among these factors. This is likely due to customers using serving robots for very short time, as identified in the literature review. Conclusions: As a result of this study, it was explained that Hedonic Motivation had the most significant positive effect on shaping attitudes toward restaurants using serving robots through the UTAUT2 model.

A study on the attitude toward robot utilization in dental hygiene students (예비치과위생사의 로봇활용에 대한 태도)

  • Min, Hee-Hong;Ahn, Kwon-Suk
    • Journal of Korean society of Dental Hygiene
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    • v.18 no.5
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    • pp.729-740
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    • 2018
  • Objectives: The purpose of this study was to investigate the factors affecting robot utilization in the education of pre-dental hygienists. Methods: A self-reported questionnaire was completed by 238 dental hygiene students studying in the Daejeon, Chungcheong, and Jeolla provinces during the period March 1-31, 2017. Results: Future oral health education media had high selection of 'movies,' 'video,' '3D printer,' 'robot,' and 'drone' In general education and oral health education, robots were appropriate as educators, assistant teachers, and media. This group had high levels of interest, experience, attitude, and learning scope of robots. Robot utilization education showed a significant positive correlation with the 'interest,' 'experience,' 'attitude,' and 'learning' subfactors (p<0.01). Factors influencing robot utilization education were the relationships among actual experience of robot, learning of robot production, social influence of robot, emotional exchange with robot, and the predictive power was 25.5% (p<0.05). Conclusions: Oral health education curricula using robots should be developed considering the emotional exchange and social influence between educator and learner.

The Impact of Individuals' Motivational System on Attitude toward the Application of Artificial Intelligence in Smart Homes

  • Moon-Yong Kim;Heayon Cho
    • International journal of advanced smart convergence
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    • v.12 no.2
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    • pp.108-116
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    • 2023
  • Smart home and artificial intelligence technologies are developing rapidly, and various smart home systems associated with artificial intelligence (AI) improved the quality of living for people. In the present research, we examine the role of individuals' motivational system in their responses to the application of AI in smart homes. In particular, this research focuses on individuals' prevention motivational system and investigates whether individuals' attitudes toward the application of AI in smart homes differ according to their level of prevention motivation. Specifically, it is hypothesized that individuals with strong (vs. weak) prevention motivation will have more favorable attitudes toward the application of AI in smart homes. Consistent with the hypothesis, the results reveal that the respondents in the strong (vs. weak) prevention motivation reported significantly more favorable attitudes toward the six types of AI-based application in smart homes (e.g., AIbased AR/VR games, AI pet care system, AI robots, etc.). Our findings suggest that individuals' prevention motivational system may be an effective market segmentation tool in facilitating their positive responses to the application of AI in smart homes.

Different Look, Different Feel: Social Robot Design Evaluation Model Based on ABOT Attributes and Consumer Emotions (각인각색, 각봇각색: ABOT 속성과 소비자 감성 기반 소셜로봇 디자인평가 모형 개발)

  • Ha, Sangjip;Lee, Junsik;Yoo, In-Jin;Park, Do-Hyung
    • Journal of Intelligence and Information Systems
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    • v.27 no.2
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    • pp.55-78
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    • 2021
  • Tosolve complex and diverse social problems and ensure the quality of life of individuals, social robots that can interact with humans are attracting attention. In the past, robots were recognized as beings that provide labor force as they put into industrial sites on behalf of humans. However, the concept of today's robot has been extended to social robots that coexist with humans and enable social interaction with the advent of Smart technology, which is considered an important driver in most industries. Specifically, there are service robots that respond to customers, the robots that have the purpose of edutainment, and the emotionalrobots that can interact with humans intimately. However, popularization of robots is not felt despite the current information environment in the modern ICT service environment and the 4th industrial revolution. Considering social interaction with users which is an important function of social robots, not only the technology of the robots but also other factors should be considered. The design elements of the robot are more important than other factors tomake consumers purchase essentially a social robot. In fact, existing studies on social robots are at the level of proposing "robot development methodology" or testing the effects provided by social robots to users in pieces. On the other hand, consumer emotions felt from the robot's appearance has an important influence in the process of forming user's perception, reasoning, evaluation and expectation. Furthermore, it can affect attitude toward robots and good feeling and performance reasoning, etc. Therefore, this study aims to verify the effect of appearance of social robot and consumer emotions on consumer's attitude toward social robot. At this time, a social robot design evaluation model is constructed by combining heterogeneous data from different sources. Specifically, the three quantitative indicator data for the appearance of social robots from the ABOT Database is included in the model. The consumer emotions of social robot design has been collected through (1) the existing design evaluation literature and (2) online buzzsuch as product reviews and blogs, (3) qualitative interviews for social robot design. Later, we collected the score of consumer emotions and attitudes toward various social robots through a large-scale consumer survey. First, we have derived the six major dimensions of consumer emotions for 23 pieces of detailed emotions through dimension reduction methodology. Then, statistical analysis was performed to verify the effect of derived consumer emotionson attitude toward social robots. Finally, the moderated regression analysis was performed to verify the effect of quantitatively collected indicators of social robot appearance on the relationship between consumer emotions and attitudes toward social robots. Interestingly, several significant moderation effects were identified, these effects are visualized with two-way interaction effect to interpret them from multidisciplinary perspectives. This study has theoretical contributions from the perspective of empirically verifying all stages from technical properties to consumer's emotion and attitudes toward social robots by linking the data from heterogeneous sources. It has practical significance that the result helps to develop the design guidelines based on consumer emotions in the design stage of social robot development.

The Effects of Robot Programming on the Attitudes toward Robot of Pre-service Teachers' (로봇 프로그래밍이 예비 교사의 로봇에 대한 태도에 미치는 영향)

  • Kim, Seong-Won;Lee, Youngjun
    • The Journal of Korean Association of Computer Education
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    • v.19 no.6
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    • pp.91-103
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    • 2016
  • In Korea, pre-service teachers' negative attitude toward robots keep them from being applied in schools. To cope with these obstacles, this study examines the change of pre-service teachers' attitude toward robots after adopting robot programming. To prove the program's effect, pre-service teachers were divided into three groups, including each group taking pre-and post-tests. After analyzing the pre-tests, none of the groups showed any difference; however, they did show significant differences in the post-tests. A paired sample t-test was conducted in each group for investigating the change. Those who took ICT and programming education did not show a change. However, those who took robot programming education did show a statistically significant difference.

Development and Effect of Biomimicry Robot Education Program based on Technology Education (기술 교육 기반의 생체 모방 로봇 교육 프로그램 개발 및 적용 효과)

  • Kim, Sung-Ae
    • Journal of Convergence for Information Technology
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    • v.9 no.4
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    • pp.109-117
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    • 2019
  • In this study, it developed and applied a biomimicry robot education program based on technology education, and to examine its effects. To do this, We were developed a biomimetic robot education program and was applied to gifted education in the technology fields to examine changes of the effects along with satisfaction. The results are as follow: First, the biomimicry robot education program conducted over 15 hours in total, comprised of technological problem solving steps. Second, satisfaction as a quantitative research of this program was higher than average, and as a qualitative research also showed positive satisfaction. Third, the changes in the propensity for technological problem solving and attitudes toward robots were statistically significant after participation in the program.

A Study on the Mechanism of Social Robot Attitude Formation through Consumer Gaze Analysis: Focusing on the Robot's Face (소비자 시선 분석을 통한 소셜로봇 태도 형성 메커니즘 연구: 로봇의 얼굴을 중심으로)

  • Ha, Sangjip;Yi, Eunju;Yoo, In-jin;Park, Do-Hyung
    • Journal of Intelligence and Information Systems
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    • v.28 no.1
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    • pp.243-262
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    • 2022
  • In this study, eye tracking was used for the appearance of the robot during the social robot design study. During the research, each part of the social robot was designated as AOI (Areas of Interests), and the user's attitude was measured through a design evaluation questionnaire to construct a design research model of the social robot. The data used in this study are Fixation, First Visit, Total Viewed, and Revisits as eye tracking indicators, and AOI (Areas of Interests) was designed with the face, eyes, lips, and body of the social robot. And as design evaluation questionnaire questions, consumer beliefs such as Face-highlighted, Human-like, and Expressive of social robots were collected and as a dependent variable was attitude toward robots. Through this, we tried to discover the mechanism that specifically forms the user's attitude toward the robot, and to discover specific insights that can be referenced when designing the robot.