{"title":"Interpreting and tailoring affordance based design user-centered experiments","authors":"Mo Chen, Ivan Mata, G. Fadel","doi":"10.1080/21650349.2019.1651675","DOIUrl":null,"url":null,"abstract":"ABSTRACT The identification, selection, and consideration of appropriate affordances during the preliminary design phase of a product play a critical role in the process of Affordance Based Design (ABD). A design tool named Affordance Based Interactive Genetic Algorithm (ABIGA) evolves products by having designers identify, and then users assess the affordance qualities of virtual prototypes. Affordances are defined to be perceived interactions, both positive and negative, primarily between the user and the artifact. In order to achieve a successful product evolution, guidelines are proposed to help designers in the setting up of experiments related to user-centered design and ABD specifically. It was found that the existence of conflicting affordances would result in a slower evolution when compared with one that did not have such conflicts. Meanwhile, it was observed that virtual presentation does influence the users’ judgments. From these observations, hypotheses and multiple experiments, these guidelines are discussed and critiqued to provide designers with insight into how to control user-centered experiments.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/21650349.2019.1651675","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/21650349.2019.1651675","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 4
Abstract
ABSTRACT The identification, selection, and consideration of appropriate affordances during the preliminary design phase of a product play a critical role in the process of Affordance Based Design (ABD). A design tool named Affordance Based Interactive Genetic Algorithm (ABIGA) evolves products by having designers identify, and then users assess the affordance qualities of virtual prototypes. Affordances are defined to be perceived interactions, both positive and negative, primarily between the user and the artifact. In order to achieve a successful product evolution, guidelines are proposed to help designers in the setting up of experiments related to user-centered design and ABD specifically. It was found that the existence of conflicting affordances would result in a slower evolution when compared with one that did not have such conflicts. Meanwhile, it was observed that virtual presentation does influence the users’ judgments. From these observations, hypotheses and multiple experiments, these guidelines are discussed and critiqued to provide designers with insight into how to control user-centered experiments.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.