{"title":"行为激活中每小时活动抽样的设计","authors":"D. Rohani, N. Tuxen, L. Kessing, J. Bardram","doi":"10.1145/3154862.3154919","DOIUrl":null,"url":null,"abstract":"This position paper presents our preliminary design of a smartphone-based behavioral activation method for unipolar disorder. The method relies on extensive collection of patient generated data on hourly activity. We report on the background for the study and the methods applied in the ongoing design process. The paper ends by discussing the challenges associated with such detailed experience sampling.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Designing for hourly activity sampling in behavioral activation\",\"authors\":\"D. Rohani, N. Tuxen, L. Kessing, J. Bardram\",\"doi\":\"10.1145/3154862.3154919\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This position paper presents our preliminary design of a smartphone-based behavioral activation method for unipolar disorder. The method relies on extensive collection of patient generated data on hourly activity. We report on the background for the study and the methods applied in the ongoing design process. The paper ends by discussing the challenges associated with such detailed experience sampling.\",\"PeriodicalId\":200810,\"journal\":{\"name\":\"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3154862.3154919\",\"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 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3154862.3154919","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Designing for hourly activity sampling in behavioral activation
This position paper presents our preliminary design of a smartphone-based behavioral activation method for unipolar disorder. The method relies on extensive collection of patient generated data on hourly activity. We report on the background for the study and the methods applied in the ongoing design process. The paper ends by discussing the challenges associated with such detailed experience sampling.
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