Zhuxin Xue, Yang Bai, Haixin Wang, Chenyu He, Jian Tan
{"title":"Research on human-computer interaction portability evaluation model in complex environment","authors":"Zhuxin Xue, Yang Bai, Haixin Wang, Chenyu He, Jian Tan","doi":"10.1145/3507548.3507615","DOIUrl":null,"url":null,"abstract":"Human-computer interaction is a technology to study the relationship between users and systems. Good user experience can greatly enhance user stickiness. With the development of Internet technology, users begin to face a variety of systems, but the interaction methods involved are different. Learning new interaction means an increase in user learning costs. As a part of product design, the design of interaction also needs to cover special user groups as much as possible, such as blind people. Thus, it is necessary to study whether different ways of interaction can migrate to each other. Traditional research on user experience mainly focuses on qualitative aspects, such as questionnaire survey. In this paper, we propose a quantitative model to evaluate the portability of interaction. For software interaction design, the macro concept of user experience is quantified by different dimensions, and a unified index model and calculation method are output to guide and evaluate the portability of different software interactions.","PeriodicalId":414908,"journal":{"name":"Proceedings of the 2021 5th International Conference on Computer Science and Artificial Intelligence","volume":"211 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 5th International Conference on Computer Science and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3507548.3507615","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Human-computer interaction is a technology to study the relationship between users and systems. Good user experience can greatly enhance user stickiness. With the development of Internet technology, users begin to face a variety of systems, but the interaction methods involved are different. Learning new interaction means an increase in user learning costs. As a part of product design, the design of interaction also needs to cover special user groups as much as possible, such as blind people. Thus, it is necessary to study whether different ways of interaction can migrate to each other. Traditional research on user experience mainly focuses on qualitative aspects, such as questionnaire survey. In this paper, we propose a quantitative model to evaluate the portability of interaction. For software interaction design, the macro concept of user experience is quantified by different dimensions, and a unified index model and calculation method are output to guide and evaluate the portability of different software interactions.