K. E. Schafer, T. Sanders, T. Kessler, Mitchell S. Dunfee, T. Wild, P. Hancock
{"title":"机器人仿真中的保真度与有效性","authors":"K. E. Schafer, T. Sanders, T. Kessler, Mitchell S. Dunfee, T. Wild, P. Hancock","doi":"10.1109/COGSIMA.2015.7108184","DOIUrl":null,"url":null,"abstract":"This work assesses the relationship between common theoretical constructs involved in simulation design and evaluation. Specifically, the degree to which realism is a desired goal in design is examined through a thorough review of the available literature. It was found that, especially for training simulations, high fidelity does not always beget improved outcomes, and this finding was corroborated by the results of an experiment involving a simulated robot. In the within-subjects experiment, participants rated their trust in both live and simulated versions of a robot performing in both reliable and unreliable scenarios. As predicted, strong correlations in both the reliable and unreliable scenarios validate the RIVET simulation engine as a model for trust in HRI and provide further evidence that relatively low-fidelity simulations can sometimes be sufficient or superior to high-fidelity alternatives.","PeriodicalId":373467,"journal":{"name":"2015 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Fidelity & validity in robotic simulation\",\"authors\":\"K. E. Schafer, T. Sanders, T. Kessler, Mitchell S. Dunfee, T. Wild, P. Hancock\",\"doi\":\"10.1109/COGSIMA.2015.7108184\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work assesses the relationship between common theoretical constructs involved in simulation design and evaluation. Specifically, the degree to which realism is a desired goal in design is examined through a thorough review of the available literature. It was found that, especially for training simulations, high fidelity does not always beget improved outcomes, and this finding was corroborated by the results of an experiment involving a simulated robot. In the within-subjects experiment, participants rated their trust in both live and simulated versions of a robot performing in both reliable and unreliable scenarios. As predicted, strong correlations in both the reliable and unreliable scenarios validate the RIVET simulation engine as a model for trust in HRI and provide further evidence that relatively low-fidelity simulations can sometimes be sufficient or superior to high-fidelity alternatives.\",\"PeriodicalId\":373467,\"journal\":{\"name\":\"2015 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COGSIMA.2015.7108184\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COGSIMA.2015.7108184","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This work assesses the relationship between common theoretical constructs involved in simulation design and evaluation. Specifically, the degree to which realism is a desired goal in design is examined through a thorough review of the available literature. It was found that, especially for training simulations, high fidelity does not always beget improved outcomes, and this finding was corroborated by the results of an experiment involving a simulated robot. In the within-subjects experiment, participants rated their trust in both live and simulated versions of a robot performing in both reliable and unreliable scenarios. As predicted, strong correlations in both the reliable and unreliable scenarios validate the RIVET simulation engine as a model for trust in HRI and provide further evidence that relatively low-fidelity simulations can sometimes be sufficient or superior to high-fidelity alternatives.