Zsolt Medgyesi, K. Pomázi, Luca Szegletes, B. Forstner
{"title":"Evaluating application usability with portable biofeedback system for mobile and desktop","authors":"Zsolt Medgyesi, K. Pomázi, Luca Szegletes, B. Forstner","doi":"10.1109/COGINFOCOM.2015.7390604","DOIUrl":null,"url":null,"abstract":"Evaluating mobile and desktop applications from usability aspects is becoming trending as the usage of electronic devices increases every day. Both user loyalty and usage efficiency are key factors in developing successful applications, given the wide variety of the market. An affordable and portable monitoring environment for desktop and mobile platforms could fulfill the specific needs of user experience researchers. In this paper we present a system that monitors the physiological signals of the user while using any application installed on the devices. As a result, we are able track the eye movement, ECG and EEG signals, and analyze the combined data provided by these sensors. Results are visualized in a way that user experience experts can follow effortlessly application usage and cognitive processes of the user, which makes it possible to improve even further the user interface to boost productivity and user loyalty, and lower frustration.","PeriodicalId":377891,"journal":{"name":"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COGINFOCOM.2015.7390604","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Evaluating mobile and desktop applications from usability aspects is becoming trending as the usage of electronic devices increases every day. Both user loyalty and usage efficiency are key factors in developing successful applications, given the wide variety of the market. An affordable and portable monitoring environment for desktop and mobile platforms could fulfill the specific needs of user experience researchers. In this paper we present a system that monitors the physiological signals of the user while using any application installed on the devices. As a result, we are able track the eye movement, ECG and EEG signals, and analyze the combined data provided by these sensors. Results are visualized in a way that user experience experts can follow effortlessly application usage and cognitive processes of the user, which makes it possible to improve even further the user interface to boost productivity and user loyalty, and lower frustration.