{"title":"是重音点钟吗?:比较业界领先的智能手表的心脏数据与主观工作量测量","authors":"Lauren Horde, Aaron Moore, Dr. Sara Lu Riggs","doi":"10.1177/21695067231192629","DOIUrl":null,"url":null,"abstract":"Health information like heart rate (HR) and electrocardiogram (ECG) patterns are available to the public on smartwatches; however, there may be a disconnect between these health measures and how users subjectively experience feelings of stress. This study examines the health detection features of two leading smartwatches in the industry, the Apple Watch Series 6 and Fitbit Sense, to determine if these devices may be used to accurately measure stress. Participants engaged in a multi-tasking program (MATB-II) that varied in cognitive workload demand while wearing smartwatches measuring cardiac data. Subjective workload responses resulted in significant differences between low and high workload conditions, indicating an increase in stress. However, both smartwatches were unable to detect significant differences in stress responses between low and high workload conditions. Overall, these results indicate that smartwatch HR and ECGs may not reflect internal feelings of stress and are sensitive to variability in measurement.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"374 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Is it Stress O’Clock?: Comparing Cardiac Data from Industry-Leading Smartwatches against Subjective Workload Measures\",\"authors\":\"Lauren Horde, Aaron Moore, Dr. Sara Lu Riggs\",\"doi\":\"10.1177/21695067231192629\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Health information like heart rate (HR) and electrocardiogram (ECG) patterns are available to the public on smartwatches; however, there may be a disconnect between these health measures and how users subjectively experience feelings of stress. This study examines the health detection features of two leading smartwatches in the industry, the Apple Watch Series 6 and Fitbit Sense, to determine if these devices may be used to accurately measure stress. Participants engaged in a multi-tasking program (MATB-II) that varied in cognitive workload demand while wearing smartwatches measuring cardiac data. Subjective workload responses resulted in significant differences between low and high workload conditions, indicating an increase in stress. However, both smartwatches were unable to detect significant differences in stress responses between low and high workload conditions. Overall, these results indicate that smartwatch HR and ECGs may not reflect internal feelings of stress and are sensitive to variability in measurement.\",\"PeriodicalId\":74544,\"journal\":{\"name\":\"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting\",\"volume\":\"374 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/21695067231192629\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/21695067231192629","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
公众可以在智能手表上获得心率(HR)和心电图(ECG)模式等健康信息;然而,这些健康措施与用户主观感受压力之间可能存在脱节。本研究考察了业界两款领先的智能手表Apple Watch Series 6和Fitbit Sense的健康检测功能,以确定这些设备是否可以用于准确测量压力。参与者参与了一个多任务项目(MATB-II),在佩戴测量心脏数据的智能手表的同时,认知工作量需求有所不同。主观工作量反应导致低负荷和高负荷条件下的显著差异,表明压力增加。然而,这两款智能手表都无法检测到低负荷和高负荷条件下压力反应的显著差异。总体而言,这些结果表明,智能手表的HR和ecg可能无法反映内部压力感受,并且对测量结果的可变性很敏感。
Is it Stress O’Clock?: Comparing Cardiac Data from Industry-Leading Smartwatches against Subjective Workload Measures
Health information like heart rate (HR) and electrocardiogram (ECG) patterns are available to the public on smartwatches; however, there may be a disconnect between these health measures and how users subjectively experience feelings of stress. This study examines the health detection features of two leading smartwatches in the industry, the Apple Watch Series 6 and Fitbit Sense, to determine if these devices may be used to accurately measure stress. Participants engaged in a multi-tasking program (MATB-II) that varied in cognitive workload demand while wearing smartwatches measuring cardiac data. Subjective workload responses resulted in significant differences between low and high workload conditions, indicating an increase in stress. However, both smartwatches were unable to detect significant differences in stress responses between low and high workload conditions. Overall, these results indicate that smartwatch HR and ECGs may not reflect internal feelings of stress and are sensitive to variability in measurement.