{"title":"智能手机上的准确反应时间:开发移动精神运动警戒任务的挑战","authors":"Mel Arthurs, J. J. Veiga, T. Ward","doi":"10.1145/3460421.3478818","DOIUrl":null,"url":null,"abstract":"The mobile psychomotor vigilance task (PVT) has been found to be a valid predictor of cognitive fatigue. However, absolute reaction time (RT) recorded by mobile PVT is inaccurate. This is concerning as participant RTs are used in the analysis of PVT results. This paper aims to characterise this problem and assess the margin of error across common iOS software frameworks. A novel Arduino test instrument was developed to simulate a user’s reaction, providing a ground truth for the RT. We found in our experiments that there is between a 29.57% and 48.58% increase over the ground truth RT in the iOS implementations tested. These are significant overestimations that will affect the validity of the outcome metrics for any mobile PVT study participants.","PeriodicalId":395295,"journal":{"name":"Proceedings of the 2021 ACM International Symposium on Wearable Computers","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Accurate Reaction Times on Smartphones: The Challenges of Developing a Mobile Psychomotor Vigilance Task\",\"authors\":\"Mel Arthurs, J. J. Veiga, T. Ward\",\"doi\":\"10.1145/3460421.3478818\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The mobile psychomotor vigilance task (PVT) has been found to be a valid predictor of cognitive fatigue. However, absolute reaction time (RT) recorded by mobile PVT is inaccurate. This is concerning as participant RTs are used in the analysis of PVT results. This paper aims to characterise this problem and assess the margin of error across common iOS software frameworks. A novel Arduino test instrument was developed to simulate a user’s reaction, providing a ground truth for the RT. We found in our experiments that there is between a 29.57% and 48.58% increase over the ground truth RT in the iOS implementations tested. These are significant overestimations that will affect the validity of the outcome metrics for any mobile PVT study participants.\",\"PeriodicalId\":395295,\"journal\":{\"name\":\"Proceedings of the 2021 ACM International Symposium on Wearable Computers\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2021 ACM International Symposium on Wearable Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3460421.3478818\",\"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 2021 ACM International Symposium on Wearable Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3460421.3478818","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Accurate Reaction Times on Smartphones: The Challenges of Developing a Mobile Psychomotor Vigilance Task
The mobile psychomotor vigilance task (PVT) has been found to be a valid predictor of cognitive fatigue. However, absolute reaction time (RT) recorded by mobile PVT is inaccurate. This is concerning as participant RTs are used in the analysis of PVT results. This paper aims to characterise this problem and assess the margin of error across common iOS software frameworks. A novel Arduino test instrument was developed to simulate a user’s reaction, providing a ground truth for the RT. We found in our experiments that there is between a 29.57% and 48.58% increase over the ground truth RT in the iOS implementations tested. These are significant overestimations that will affect the validity of the outcome metrics for any mobile PVT study participants.
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