Jacob Logas, W. Mitchell, Monira Khan, Lorita Freeman, C. Zeagler, M. Jackson
{"title":"A toolkit for animal touchscreen slider design","authors":"Jacob Logas, W. Mitchell, Monira Khan, Lorita Freeman, C. Zeagler, M. Jackson","doi":"10.1145/3295598.3295611","DOIUrl":null,"url":null,"abstract":"Animal-computer interaction is a quickly growing field in computer science however unlike HCI, there are no tools to ease interface development for its users, increasing overhead. Here, we present the beginning of a toolkit created specifically for animal interactions. We implement a gesture-based interface, a slider, as it is highly configurable in shape, colour, and feedback allowing it to be as simple or complex as desired. The resultant interface can be in any shape, provides 20 run-time configuration options, and collects usage data for qualitative analysis. The toolkit reduces the effort needed to build gestural animal interfaces for research or everyday use.","PeriodicalId":233211,"journal":{"name":"Proceedings of the Fifth International Conference on Animal-Computer Interaction","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Fifth International Conference on Animal-Computer Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3295598.3295611","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Animal-computer interaction is a quickly growing field in computer science however unlike HCI, there are no tools to ease interface development for its users, increasing overhead. Here, we present the beginning of a toolkit created specifically for animal interactions. We implement a gesture-based interface, a slider, as it is highly configurable in shape, colour, and feedback allowing it to be as simple or complex as desired. The resultant interface can be in any shape, provides 20 run-time configuration options, and collects usage data for qualitative analysis. The toolkit reduces the effort needed to build gestural animal interfaces for research or everyday use.