The purpose of this paper is to identify factors predicting perceived intention of using IoT by Indians. To fulfill the purpose, basing on literature review and on diffusion theory of planned behavior (DTPB) model, factors predicting perceived intention of using IoT by the Indian consumers have been identified and hypotheses have been developed which were tested by collecting data using questionnaire from 400 concerned respondents. The data were analyzed and tested using different standard tools. The study revealed that: perceived usefulness, perceived ease of use, compatibility impact attitude, influence of family members, influence of peers, influence of others impact subjective norms, self-efficacy, and facilitating conditions impact perceived behavioral control. Again, attitude and perceived behavioral control influence intention though subjective norms significantly do not influence intention. Again, it is found that intention positively influences the actual use of IoT by the consumers. The outcome would help the IoT service providers to improve their businesses.
{"title":"Why Do People Use IoT-Enabled Devices?","authors":"Sheshadri Chatterjee","doi":"10.4018/ijthi.313626","DOIUrl":"https://doi.org/10.4018/ijthi.313626","url":null,"abstract":"The purpose of this paper is to identify factors predicting perceived intention of using IoT by Indians. To fulfill the purpose, basing on literature review and on diffusion theory of planned behavior (DTPB) model, factors predicting perceived intention of using IoT by the Indian consumers have been identified and hypotheses have been developed which were tested by collecting data using questionnaire from 400 concerned respondents. The data were analyzed and tested using different standard tools. The study revealed that: perceived usefulness, perceived ease of use, compatibility impact attitude, influence of family members, influence of peers, influence of others impact subjective norms, self-efficacy, and facilitating conditions impact perceived behavioral control. Again, attitude and perceived behavioral control influence intention though subjective norms significantly do not influence intention. Again, it is found that intention positively influences the actual use of IoT by the consumers. The outcome would help the IoT service providers to improve their businesses.","PeriodicalId":44533,"journal":{"name":"International Journal of Technology and Human Interaction","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46353505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The study aims to evaluate perceived impediments and anticipated solutions to HR while implementing Industry 4.0 initiatives in SMEs. A group of 10 decision-makers from these SMEs was tasked with assigning ratings to a variety of parameters. To create the model for 10 perceived impediments and five anticipated solutions and subsequently rank them, the TOPSIS technique is employed. According to the data analysis, job reductions, unemployment, and job uncertainty have emerged as the top three significant hurdles, while challenges to trainers, replacement of humans, and training costs have been recognized as the bottom three. Smart HR 4.0 and AI & Data Analytics are the top and lowest-ranked solutions respectively. HR in I4.0 in SMEs parameters have been graded based on their contributing attributes. However, it is also true that there are several impediments associated with the implementation of Industry 4.0. These impediments become more challenging in the context of SMEs.
{"title":"Perceived Impediments and Anticipated Solutions to HR (Human Resource) Towards Implementing Industry 4.0 in SMEs","authors":"N. Sharma, Vimal Kumar, K. Lai, Wen-Kuo Chen","doi":"10.4018/ijthi.306230","DOIUrl":"https://doi.org/10.4018/ijthi.306230","url":null,"abstract":"The study aims to evaluate perceived impediments and anticipated solutions to HR while implementing Industry 4.0 initiatives in SMEs. A group of 10 decision-makers from these SMEs was tasked with assigning ratings to a variety of parameters. To create the model for 10 perceived impediments and five anticipated solutions and subsequently rank them, the TOPSIS technique is employed. According to the data analysis, job reductions, unemployment, and job uncertainty have emerged as the top three significant hurdles, while challenges to trainers, replacement of humans, and training costs have been recognized as the bottom three. Smart HR 4.0 and AI & Data Analytics are the top and lowest-ranked solutions respectively. HR in I4.0 in SMEs parameters have been graded based on their contributing attributes. However, it is also true that there are several impediments associated with the implementation of Industry 4.0. These impediments become more challenging in the context of SMEs.","PeriodicalId":44533,"journal":{"name":"International Journal of Technology and Human Interaction","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41779111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study identifies coping strategies to examine the behaviors adopted by team managers in addressing technostress. It evaluates the choice of coping strategies to increase performance. A study involving 3 companies and 45 respondents was conducted to identify coping strategies. However, as we chose to make a deeper interview after the first one, we continued our interviews with those who are available for 8 hours of interview, (2 hours each time); therefore we continued with 13 people. Overall, four interactional coping strategies were identified: Based on these, four new coping theories address technostress from an international perspective. This enriches the literature on coping strategies and technostress and the results explain a wide range of team managers' behaviors. Hence, it is necessary to adopt suitable policies to address effect of technostress.
{"title":"Strategies to Respond to Technology Enhancement","authors":"Min Feng, Driss Bourazzouq","doi":"10.4018/ijthi.313624","DOIUrl":"https://doi.org/10.4018/ijthi.313624","url":null,"abstract":"This study identifies coping strategies to examine the behaviors adopted by team managers in addressing technostress. It evaluates the choice of coping strategies to increase performance. A study involving 3 companies and 45 respondents was conducted to identify coping strategies. However, as we chose to make a deeper interview after the first one, we continued our interviews with those who are available for 8 hours of interview, (2 hours each time); therefore we continued with 13 people. Overall, four interactional coping strategies were identified: Based on these, four new coping theories address technostress from an international perspective. This enriches the literature on coping strategies and technostress and the results explain a wide range of team managers' behaviors. Hence, it is necessary to adopt suitable policies to address effect of technostress.","PeriodicalId":44533,"journal":{"name":"International Journal of Technology and Human Interaction","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43302692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Employers' feedback on new college graduates' performance is a crucial piece of information that schools must consider to identify the relevance and responsiveness of their curriculum, programs, and services. Hence, in this paper, the artificial intelligence assisted satisfaction index model (AI-SIM) has been proposed to identify the college students' job satisfaction. Computer systems with advanced artificial intelligence can engage in reasoning, sensing, and responding in the most dynamic and complex environments. Artificial intelligence systems are being adopted rapidly by organizations to manage their workforce. This article aims to present the research results where contract the assessment made by graduates of the training at the University with necessary professional competences in the labour market. Job satisfaction toward colleague has the highest mean, meanwhile opportunities for promotion are the lowest. The implication of college student volunteer's systems and practices are discussed.
{"title":"Construction and Empirical Analysis of College Students' Job Satisfaction Index Model Using Artificial Intelligence","authors":"Lingchong Jia","doi":"10.4018/ijthi.313603","DOIUrl":"https://doi.org/10.4018/ijthi.313603","url":null,"abstract":"Employers' feedback on new college graduates' performance is a crucial piece of information that schools must consider to identify the relevance and responsiveness of their curriculum, programs, and services. Hence, in this paper, the artificial intelligence assisted satisfaction index model (AI-SIM) has been proposed to identify the college students' job satisfaction. Computer systems with advanced artificial intelligence can engage in reasoning, sensing, and responding in the most dynamic and complex environments. Artificial intelligence systems are being adopted rapidly by organizations to manage their workforce. This article aims to present the research results where contract the assessment made by graduates of the training at the University with necessary professional competences in the labour market. Job satisfaction toward colleague has the highest mean, meanwhile opportunities for promotion are the lowest. The implication of college student volunteer's systems and practices are discussed.","PeriodicalId":44533,"journal":{"name":"International Journal of Technology and Human Interaction","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45279973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The empirical evaluation of the success of a participant is critical for a thorough assessment of sporting events. Evaluating students' efficiency or scripting in sports is limited, even if skilled experts do it. In this paper, support vector machine-assisted sports training (SVMST) has been proposed to evaluate student sports efficiency. Sports training prototypes are based on different criteria that participate in the matches, traditional game statistics, person quality measures, and opposing data. The success of students is divided into two grades: moderate and large. The primarily supervised learning-based classification method is used to create a template for identifying student sports training efficiency. SVM implements learning methods, data collection methods, effective model assessment methods, and particular difficulties in predicting sports performance. The experimental results show SVMST to high student performance of 98.7%, a low error rate of 9.8%, enhanced assessment ratio of 97.6%, training outcome of 95.6%, and an efficiency ratio of 96.8%.
{"title":"Evaluating the Efficiency of Student Sports Training Based on Supervised Learning","authors":"Song Kewei, Vicente García Díaz, Seifedine Kadry","doi":"10.4018/ijthi.313427","DOIUrl":"https://doi.org/10.4018/ijthi.313427","url":null,"abstract":"The empirical evaluation of the success of a participant is critical for a thorough assessment of sporting events. Evaluating students' efficiency or scripting in sports is limited, even if skilled experts do it. In this paper, support vector machine-assisted sports training (SVMST) has been proposed to evaluate student sports efficiency. Sports training prototypes are based on different criteria that participate in the matches, traditional game statistics, person quality measures, and opposing data. The success of students is divided into two grades: moderate and large. The primarily supervised learning-based classification method is used to create a template for identifying student sports training efficiency. SVM implements learning methods, data collection methods, effective model assessment methods, and particular difficulties in predicting sports performance. The experimental results show SVMST to high student performance of 98.7%, a low error rate of 9.8%, enhanced assessment ratio of 97.6%, training outcome of 95.6%, and an efficiency ratio of 96.8%.","PeriodicalId":44533,"journal":{"name":"International Journal of Technology and Human Interaction","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47149469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Social media sites employ various approaches to track feelings, including diagnosing neurological problems, including fear, in people or assessing a population public sentiment. One essential obstacle for automatic emotion recognition principles is variable with fluctuating limitations, language, and interpretation shifts. Therefore, in this paper, a deep learning-based emotion recognition (DL-EM) system has been proposed to describe the various relational effects in emotional groups. A soft classification method is suggested to quantify the tendency and allocate a message to each emotional class. A supervised framework for emotions in text streaming messages is developed and tested. Two of the major activities are offline teaching assignments and interactive emotion classification techniques. The first challenge offers templates in text responses to describe sentiment. The second activity includes implementing a two-stage framework to identify live broadcasts of text messages for dedicated emotion monitoring.
{"title":"Deep Learning Approach for Emotion Recognition Analysis in Text Streams","authors":"Chang Liu, S. Kirubakaran, Alfred Daniel J.","doi":"10.4018/ijthi.313927","DOIUrl":"https://doi.org/10.4018/ijthi.313927","url":null,"abstract":"Social media sites employ various approaches to track feelings, including diagnosing neurological problems, including fear, in people or assessing a population public sentiment. One essential obstacle for automatic emotion recognition principles is variable with fluctuating limitations, language, and interpretation shifts. Therefore, in this paper, a deep learning-based emotion recognition (DL-EM) system has been proposed to describe the various relational effects in emotional groups. A soft classification method is suggested to quantify the tendency and allocate a message to each emotional class. A supervised framework for emotions in text streaming messages is developed and tested. Two of the major activities are offline teaching assignments and interactive emotion classification techniques. The first challenge offers templates in text responses to describe sentiment. The second activity includes implementing a two-stage framework to identify live broadcasts of text messages for dedicated emotion monitoring.","PeriodicalId":44533,"journal":{"name":"International Journal of Technology and Human Interaction","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41529129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The present study aimed to investigate the mediating role of smartphone addiction in the association between vulnerability and relationship satisfaction among younger adults living in Turkey. The relationship assessment scale, the smartphone addiction scale-short version, the psychological vulnerability scale, and the social vulnerability scale were applied to 326 university students. Structural equation modelling showed that vulnerability has a significantly direct effect on relationship satisfaction, and smartphone addiction can partially mediate the impact of vulnerability on relationship satisfaction. The bootstrapping techniques confirmed that smartphone addiction had a partial mediation effect between vulnerability and relationship satisfaction. These data may help clinicians and researchers to better understand the consequences of vulnerability and underlying the processes of smartphone addiction and relationship satisfaction.
{"title":"Vulnerability and Relationship Satisfaction","authors":"B. Satici","doi":"10.4018/ijthi.313625","DOIUrl":"https://doi.org/10.4018/ijthi.313625","url":null,"abstract":"The present study aimed to investigate the mediating role of smartphone addiction in the association between vulnerability and relationship satisfaction among younger adults living in Turkey. The relationship assessment scale, the smartphone addiction scale-short version, the psychological vulnerability scale, and the social vulnerability scale were applied to 326 university students. Structural equation modelling showed that vulnerability has a significantly direct effect on relationship satisfaction, and smartphone addiction can partially mediate the impact of vulnerability on relationship satisfaction. The bootstrapping techniques confirmed that smartphone addiction had a partial mediation effect between vulnerability and relationship satisfaction. These data may help clinicians and researchers to better understand the consequences of vulnerability and underlying the processes of smartphone addiction and relationship satisfaction.","PeriodicalId":44533,"journal":{"name":"International Journal of Technology and Human Interaction","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43954099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study proposed an eye responses-based mental workload (E-MWL) evaluation method in nuclear power plants (NPPs) when performing the task via a user interface control. The fuzzy theory was used to combine four eye response indices using the entropy weight method. Then, the E-MWL method was validated through experiments by comparison with the NASA-TLX rating and performance measures indices in two different tasks of the state-oriented procedure (SOP) in NPP. The correlation analysis results between the NASA-TLX and eye response indices showed that four eye response indices used in this study were correlated significantly with the NASA-TLX, indicating that these indices may develop the E-MWL method. The E-MWL score results indicated that it is highly correlated with NASA-TLX and performance measures indices in two different tasks of SOP in NPP. This has proved that E-MWL is an objective method suitable for evaluating and predicting human mental workload (MWL) for interface control task in NPPs.
{"title":"Development of an Eye Response-Based Mental Workload Evaluation Method: A Study of User interface in a Nuclear Power Plant","authors":"C. Tran, S. Yan","doi":"10.4018/ijthi.299071","DOIUrl":"https://doi.org/10.4018/ijthi.299071","url":null,"abstract":"This study proposed an eye responses-based mental workload (E-MWL) evaluation method in nuclear power plants (NPPs) when performing the task via a user interface control. The fuzzy theory was used to combine four eye response indices using the entropy weight method. Then, the E-MWL method was validated through experiments by comparison with the NASA-TLX rating and performance measures indices in two different tasks of the state-oriented procedure (SOP) in NPP. The correlation analysis results between the NASA-TLX and eye response indices showed that four eye response indices used in this study were correlated significantly with the NASA-TLX, indicating that these indices may develop the E-MWL method. The E-MWL score results indicated that it is highly correlated with NASA-TLX and performance measures indices in two different tasks of SOP in NPP. This has proved that E-MWL is an objective method suitable for evaluating and predicting human mental workload (MWL) for interface control task in NPPs.","PeriodicalId":44533,"journal":{"name":"International Journal of Technology and Human Interaction","volume":"46 1","pages":"1-22"},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70471519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study makes use of online teaching in this environment and adopts it for use in a required computer skills course with cognitive apprenticeship (CA) and co-regulated learning (CRL) teaching methods to improve students’ computer skills, learning motivation, and experience of online learning. The subjects of this study are first-year students of a non-information-related department at a private university in Northern Taiwan. A total of four classes comprising 111 students participated in the research. The CRL and CA group (C1, n=24) concurrently received CRL and CA treatments, the non-CRL and CA group (C2, n=25) received only the CA teaching method, and the CRL and non-CA group (C3, n=40) received only the teaching method of CRL. The non-CRL and non-CA group (C4, n=22) served as the control group. The results show that the use of CA can significantly improve students’ computer skills; however, the expected effects of CRL were not found in this study.
{"title":"The Effects of Cognitive Apprenticeship and Co-Regulated Learning on Improving Student Computer Problem-Solving Skills and Learning Motivation: A Quasi-Experiment in an \"Applied Information Technology: Office Software\" Course","authors":"Ying-Tien Wu, Pei-Di Shen, Chih-Hsien Lin","doi":"10.4018/ijthi.299355","DOIUrl":"https://doi.org/10.4018/ijthi.299355","url":null,"abstract":"This study makes use of online teaching in this environment and adopts it for use in a required computer skills course with cognitive apprenticeship (CA) and co-regulated learning (CRL) teaching methods to improve students’ computer skills, learning motivation, and experience of online learning. The subjects of this study are first-year students of a non-information-related department at a private university in Northern Taiwan. A total of four classes comprising 111 students participated in the research. The CRL and CA group (C1, n=24) concurrently received CRL and CA treatments, the non-CRL and CA group (C2, n=25) received only the CA teaching method, and the CRL and non-CA group (C3, n=40) received only the teaching method of CRL. The non-CRL and non-CA group (C4, n=22) served as the control group. The results show that the use of CA can significantly improve students’ computer skills; however, the expected effects of CRL were not found in this study.","PeriodicalId":44533,"journal":{"name":"International Journal of Technology and Human Interaction","volume":"18 1","pages":"1-16"},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70471836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The researchers of this study selected five journals in the field of education and conducted a series of analyses regarding publications dating from 2010 to 2019 to investigate the research trends and characteristics in the field of Educational Technology. By using the analytic tool Content Analysis Toolkit for Academic Research (CATAR), the researchers in this study conducted bibliometric analysis and breakdown analyses to summarize major contributing countries, educational institutions, most productive authors, and most cited papers; moreover, they used co-word analysis to reveal the representative items within each cluster. The findings in this study can provide implications and references for educators and researchers in the field of Educational Technology when selecting variables for their studies and technologies for their students.
本研究选取了5本教育领域的期刊，并对2010年至2019年的出版物进行了一系列分析，以探讨教育技术领域的研究趋势和特征。本研究利用学术研究内容分析工具(Content Analysis Toolkit for Academic Research, CATAR)，进行文献计量分析和细分分析，总结了主要贡献国家、教育机构、最高产作者和最被引论文;此外，他们使用共词分析来揭示每个聚类中的代表性项目。本研究结果可为教育技术领域的教育工作者和研究人员在选择研究变量和学生技术时提供启示和参考。
{"title":"Research trends in Educational Technology","authors":"","doi":"10.4018/ijthi.293191","DOIUrl":"https://doi.org/10.4018/ijthi.293191","url":null,"abstract":"The researchers of this study selected five journals in the field of education and conducted a series of analyses regarding publications dating from 2010 to 2019 to investigate the research trends and characteristics in the field of Educational Technology. By using the analytic tool Content Analysis Toolkit for Academic Research (CATAR), the researchers in this study conducted bibliometric analysis and breakdown analyses to summarize major contributing countries, educational institutions, most productive authors, and most cited papers; moreover, they used co-word analysis to reveal the representative items within each cluster. The findings in this study can provide implications and references for educators and researchers in the field of Educational Technology when selecting variables for their studies and technologies for their students.","PeriodicalId":44533,"journal":{"name":"International Journal of Technology and Human Interaction","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47758159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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