{"title":"椰子:用于非固定用户测试的上下文集合","authors":"Svenja Schröder, Jakob Hirschl, P. Reichl","doi":"10.1145/2957265.2962658","DOIUrl":null,"url":null,"abstract":"CoConUT is an Android app for collecting the mobile context as well as the frequency of interactions during mobile field studies (for example usability studies) using sensor data on the test device. For evaluation purposes the recorded user trial sessions can be visually explored. This facilitates an assessment of the user's attention patterns and enables the detection of limited cognitive resources caused by distracting contextual factors. The app was tested in a preliminary study for technical feasibility and is planned to be extended in the near future.","PeriodicalId":131157,"journal":{"name":"Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"CoConUT: context collection for non-stationary user testing\",\"authors\":\"Svenja Schröder, Jakob Hirschl, P. Reichl\",\"doi\":\"10.1145/2957265.2962658\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"CoConUT is an Android app for collecting the mobile context as well as the frequency of interactions during mobile field studies (for example usability studies) using sensor data on the test device. For evaluation purposes the recorded user trial sessions can be visually explored. This facilitates an assessment of the user's attention patterns and enables the detection of limited cognitive resources caused by distracting contextual factors. The app was tested in a preliminary study for technical feasibility and is planned to be extended in the near future.\",\"PeriodicalId\":131157,\"journal\":{\"name\":\"Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2957265.2962658\",\"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 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2957265.2962658","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
CoConUT: context collection for non-stationary user testing
CoConUT is an Android app for collecting the mobile context as well as the frequency of interactions during mobile field studies (for example usability studies) using sensor data on the test device. For evaluation purposes the recorded user trial sessions can be visually explored. This facilitates an assessment of the user's attention patterns and enables the detection of limited cognitive resources caused by distracting contextual factors. The app was tested in a preliminary study for technical feasibility and is planned to be extended in the near future.