{"title":"动态事件中的辅助决策过程:衡量决策支持系统的影响和人的责任","authors":"Yossef Saad;Joachim Meyer","doi":"10.1109/THMS.2025.3553015","DOIUrl":null,"url":null,"abstract":"Decision support systems (DSSs) increasingly assist human users who should consider their output and combine it with independently available information when making a decision. Some decision-making events are dynamic, requiring a series of decisions in interdependent stages. In them, users may not use DSS advice optimally, possibly compromising task performance and preventing the DSS from fulfilling its purpose. We report an experiment in which participants made decisions in dynamic events, observing the output from a DSS. They largely followed normative decision-making rules, but decisions were based on the DSS's perceived, and not necessarily the actual, accuracy. Participants mostly made up their minds in the first stage, and using the DSS typically lengthened the time to reach a decision. These findings should be considered when designing DSS and related regulations and operational processes so people can utilize the DSS's full potential.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"55 3","pages":"408-417"},"PeriodicalIF":3.5000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10958188","citationCount":"0","resultStr":"{\"title\":\"Aided Decision Processes in Dynamic Events: Measuring Decision Support Systems' Influence and Human Responsibility\",\"authors\":\"Yossef Saad;Joachim Meyer\",\"doi\":\"10.1109/THMS.2025.3553015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Decision support systems (DSSs) increasingly assist human users who should consider their output and combine it with independently available information when making a decision. Some decision-making events are dynamic, requiring a series of decisions in interdependent stages. In them, users may not use DSS advice optimally, possibly compromising task performance and preventing the DSS from fulfilling its purpose. We report an experiment in which participants made decisions in dynamic events, observing the output from a DSS. They largely followed normative decision-making rules, but decisions were based on the DSS's perceived, and not necessarily the actual, accuracy. Participants mostly made up their minds in the first stage, and using the DSS typically lengthened the time to reach a decision. These findings should be considered when designing DSS and related regulations and operational processes so people can utilize the DSS's full potential.\",\"PeriodicalId\":48916,\"journal\":{\"name\":\"IEEE Transactions on Human-Machine Systems\",\"volume\":\"55 3\",\"pages\":\"408-417\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2025-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10958188\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Human-Machine Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10958188/\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Human-Machine Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10958188/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
Aided Decision Processes in Dynamic Events: Measuring Decision Support Systems' Influence and Human Responsibility
Decision support systems (DSSs) increasingly assist human users who should consider their output and combine it with independently available information when making a decision. Some decision-making events are dynamic, requiring a series of decisions in interdependent stages. In them, users may not use DSS advice optimally, possibly compromising task performance and preventing the DSS from fulfilling its purpose. We report an experiment in which participants made decisions in dynamic events, observing the output from a DSS. They largely followed normative decision-making rules, but decisions were based on the DSS's perceived, and not necessarily the actual, accuracy. Participants mostly made up their minds in the first stage, and using the DSS typically lengthened the time to reach a decision. These findings should be considered when designing DSS and related regulations and operational processes so people can utilize the DSS's full potential.
期刊介绍:
The scope of the IEEE Transactions on Human-Machine Systems includes the fields of human machine systems. It covers human systems and human organizational interactions including cognitive ergonomics, system test and evaluation, and human information processing concerns in systems and organizations.