Fuzzy comprehensive evaluation of virtual reality mine safety training system
•A comprehensive evaluation method for the Virtual Reality mine safety training system is proposed.•Based on the components of the VR system, an index system for evaluating the VR mine safety training system is proposed.•Through the analytic hierarchy process, the weights of the indicators in the ev...
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| Veröffentlicht in: | Safety science 2019-12, Vol.120, p.341-351 |
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| creator | Zhang, Hui He, Xueqiu Mitri, Hani |
| description | •A comprehensive evaluation method for the Virtual Reality mine safety training system is proposed.•Based on the components of the VR system, an index system for evaluating the VR mine safety training system is proposed.•Through the analytic hierarchy process, the weights of the indicators in the evaluation index system are calculated.•The comprehensive evaluation of VR mine safety training systems is carried out by using fuzzy logic analysis.•The task type of training system has a significant impact on the indicators’ weights.
Effective safety training is an indispensable means to ensure mine safety. Virtual Reality (VR) technology is a promising method to improve training efficiency. At present, research on VR mine safety training is limited; it focuses mainly on the implementation of a VR training system rather than the evaluation of the techniques and methods employed, which is far more important. The evaluation of a VR safety training system mainly includes the selection of indicators, calculation of weights, and a comprehensive evaluation of the system components. This paper presents a comprehensive evaluation of the VR mine safety training system with the analytic hierarchy process and the fuzzy logic technology. Firstly, by analyzing the components of the VR system, the weights of the system components and the main elements of each part are determined; the most important part is the software, which has a weight of 49.62%. Secondly, the fuzzy logic of each element will give a comprehensive evaluation result of the system. An existing VR training system is evaluated, and the result appears to be moderate. The main disadvantage of the system is the lack of realism, the absence of user data record, and the limited degree of freedom of the VR scene. Through this method, the VR training system can be scientifically and efficiently evaluated, and the system shortcomings can be derived from the evaluation results, so that the system can be improved in future, thereby ensuring the effectiveness of the system itself, and laying a solid foundation for safety training. |
| doi_str_mv | 10.1016/j.ssci.2019.07.009 |
| format | Article |
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Effective safety training is an indispensable means to ensure mine safety. Virtual Reality (VR) technology is a promising method to improve training efficiency. At present, research on VR mine safety training is limited; it focuses mainly on the implementation of a VR training system rather than the evaluation of the techniques and methods employed, which is far more important. The evaluation of a VR safety training system mainly includes the selection of indicators, calculation of weights, and a comprehensive evaluation of the system components. This paper presents a comprehensive evaluation of the VR mine safety training system with the analytic hierarchy process and the fuzzy logic technology. Firstly, by analyzing the components of the VR system, the weights of the system components and the main elements of each part are determined; the most important part is the software, which has a weight of 49.62%. Secondly, the fuzzy logic of each element will give a comprehensive evaluation result of the system. An existing VR training system is evaluated, and the result appears to be moderate. The main disadvantage of the system is the lack of realism, the absence of user data record, and the limited degree of freedom of the VR scene. Through this method, the VR training system can be scientifically and efficiently evaluated, and the system shortcomings can be derived from the evaluation results, so that the system can be improved in future, thereby ensuring the effectiveness of the system itself, and laying a solid foundation for safety training.</description><identifier>ISSN: 0925-7535</identifier><identifier>EISSN: 1879-1042</identifier><identifier>DOI: 10.1016/j.ssci.2019.07.009</identifier><language>eng</language><publisher>Amsterdam: Elsevier Ltd</publisher><subject>AHP ; Analytic hierarchy process ; Computer applications ; Evaluation ; Fuzzy comprehensive evaluation ; Fuzzy logic ; Fuzzy systems ; Mine safety ; Mining accidents & safety ; Mining industry ; Occupational safety ; Safety ; Safety management ; Safety training ; Technology assessment ; Training ; Virtual reality</subject><ispartof>Safety science, 2019-12, Vol.120, p.341-351</ispartof><rights>2019 Elsevier Ltd</rights><rights>Copyright Elsevier BV Dec 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c328t-60a7368813667d9eec436878167f6233b4649ddafd2fd2c15ba2504ea6e67cc63</citedby><cites>FETCH-LOGICAL-c328t-60a7368813667d9eec436878167f6233b4649ddafd2fd2c15ba2504ea6e67cc63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ssci.2019.07.009$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,778,782,3539,27907,27908,45978</link.rule.ids></links><search><creatorcontrib>Zhang, Hui</creatorcontrib><creatorcontrib>He, Xueqiu</creatorcontrib><creatorcontrib>Mitri, Hani</creatorcontrib><title>Fuzzy comprehensive evaluation of virtual reality mine safety training system</title><title>Safety science</title><description>•A comprehensive evaluation method for the Virtual Reality mine safety training system is proposed.•Based on the components of the VR system, an index system for evaluating the VR mine safety training system is proposed.•Through the analytic hierarchy process, the weights of the indicators in the evaluation index system are calculated.•The comprehensive evaluation of VR mine safety training systems is carried out by using fuzzy logic analysis.•The task type of training system has a significant impact on the indicators’ weights.
Effective safety training is an indispensable means to ensure mine safety. Virtual Reality (VR) technology is a promising method to improve training efficiency. At present, research on VR mine safety training is limited; it focuses mainly on the implementation of a VR training system rather than the evaluation of the techniques and methods employed, which is far more important. The evaluation of a VR safety training system mainly includes the selection of indicators, calculation of weights, and a comprehensive evaluation of the system components. This paper presents a comprehensive evaluation of the VR mine safety training system with the analytic hierarchy process and the fuzzy logic technology. Firstly, by analyzing the components of the VR system, the weights of the system components and the main elements of each part are determined; the most important part is the software, which has a weight of 49.62%. Secondly, the fuzzy logic of each element will give a comprehensive evaluation result of the system. An existing VR training system is evaluated, and the result appears to be moderate. The main disadvantage of the system is the lack of realism, the absence of user data record, and the limited degree of freedom of the VR scene. Through this method, the VR training system can be scientifically and efficiently evaluated, and the system shortcomings can be derived from the evaluation results, so that the system can be improved in future, thereby ensuring the effectiveness of the system itself, and laying a solid foundation for safety training.</description><subject>AHP</subject><subject>Analytic hierarchy process</subject><subject>Computer applications</subject><subject>Evaluation</subject><subject>Fuzzy comprehensive evaluation</subject><subject>Fuzzy logic</subject><subject>Fuzzy systems</subject><subject>Mine safety</subject><subject>Mining accidents & safety</subject><subject>Mining industry</subject><subject>Occupational safety</subject><subject>Safety</subject><subject>Safety management</subject><subject>Safety training</subject><subject>Technology assessment</subject><subject>Training</subject><subject>Virtual reality</subject><issn>0925-7535</issn><issn>1879-1042</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LxDAQhoMouK7-AU8Bz635aJMWvMjiqrDiRc8hm041pR9rkha6v94s9SwMzAy878zLg9AtJSklVNw3qffGpozQMiUyJaQ8QytayDKhJGPnaEVKlicy5_kluvK-IYRQLugKvW3H43HGZugODr6h93YCDJNuRx3s0OOhxpN1YdQtdqBbG2bc2R6w1zXEOThte9t_YT_7AN01uqh16-Hmr6_R5_bpY_OS7N6fXzePu8RwVoREEC25KIoYQciqBDBZXGVBhawF43yfiaysKl1XLJah-V6znGSgBQhpjOBrdLfcPbjhZwQfVDOMro8vFeOMxsuU5lHFFpVxg_cOanVwttNuVpSoEzbVqBM2dcKmiFQRWzQ9LCaI-ScLTkUF9AYq68AEVQ32P_svRut2_g</recordid><startdate>201912</startdate><enddate>201912</enddate><creator>Zhang, Hui</creator><creator>He, Xueqiu</creator><creator>Mitri, Hani</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T2</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>NAPCQ</scope></search><sort><creationdate>201912</creationdate><title>Fuzzy comprehensive evaluation of virtual reality mine safety training system</title><author>Zhang, Hui ; He, Xueqiu ; Mitri, Hani</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c328t-60a7368813667d9eec436878167f6233b4649ddafd2fd2c15ba2504ea6e67cc63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>AHP</topic><topic>Analytic hierarchy process</topic><topic>Computer applications</topic><topic>Evaluation</topic><topic>Fuzzy comprehensive evaluation</topic><topic>Fuzzy logic</topic><topic>Fuzzy systems</topic><topic>Mine safety</topic><topic>Mining accidents & safety</topic><topic>Mining industry</topic><topic>Occupational safety</topic><topic>Safety</topic><topic>Safety management</topic><topic>Safety training</topic><topic>Technology assessment</topic><topic>Training</topic><topic>Virtual reality</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Hui</creatorcontrib><creatorcontrib>He, Xueqiu</creatorcontrib><creatorcontrib>Mitri, Hani</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Nursing & Allied Health Premium</collection><jtitle>Safety science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Hui</au><au>He, Xueqiu</au><au>Mitri, Hani</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fuzzy comprehensive evaluation of virtual reality mine safety training system</atitle><jtitle>Safety science</jtitle><date>2019-12</date><risdate>2019</risdate><volume>120</volume><spage>341</spage><epage>351</epage><pages>341-351</pages><issn>0925-7535</issn><eissn>1879-1042</eissn><abstract>•A comprehensive evaluation method for the Virtual Reality mine safety training system is proposed.•Based on the components of the VR system, an index system for evaluating the VR mine safety training system is proposed.•Through the analytic hierarchy process, the weights of the indicators in the evaluation index system are calculated.•The comprehensive evaluation of VR mine safety training systems is carried out by using fuzzy logic analysis.•The task type of training system has a significant impact on the indicators’ weights.
Effective safety training is an indispensable means to ensure mine safety. Virtual Reality (VR) technology is a promising method to improve training efficiency. At present, research on VR mine safety training is limited; it focuses mainly on the implementation of a VR training system rather than the evaluation of the techniques and methods employed, which is far more important. The evaluation of a VR safety training system mainly includes the selection of indicators, calculation of weights, and a comprehensive evaluation of the system components. This paper presents a comprehensive evaluation of the VR mine safety training system with the analytic hierarchy process and the fuzzy logic technology. Firstly, by analyzing the components of the VR system, the weights of the system components and the main elements of each part are determined; the most important part is the software, which has a weight of 49.62%. Secondly, the fuzzy logic of each element will give a comprehensive evaluation result of the system. An existing VR training system is evaluated, and the result appears to be moderate. The main disadvantage of the system is the lack of realism, the absence of user data record, and the limited degree of freedom of the VR scene. Through this method, the VR training system can be scientifically and efficiently evaluated, and the system shortcomings can be derived from the evaluation results, so that the system can be improved in future, thereby ensuring the effectiveness of the system itself, and laying a solid foundation for safety training.</abstract><cop>Amsterdam</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.ssci.2019.07.009</doi><tpages>11</tpages></addata></record> |
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| subjects | AHP Analytic hierarchy process Computer applications Evaluation Fuzzy comprehensive evaluation Fuzzy logic Fuzzy systems Mine safety Mining accidents & safety Mining industry Occupational safety Safety Safety management Safety training Technology assessment Training Virtual reality |
| title | Fuzzy comprehensive evaluation of virtual reality mine safety training system |
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