LEADER 03577oam 2200493 450 001 9910809599103321 005 20190911100030.0 010 $a0-12-415792-0 035 $a(OCoLC)857791813 035 $a(MiFhGG)GVRL8DXB 035 $a(EXLCZ)992660000000011067 100 $a20130226d2013 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMeasuring the user experience $ecollecting, analyzing, and presenting usability metrics /$fTom Tullis, Bill Albert 205 $a2nd ed. 210 $aAmsterdam, Netherlands $cElsevier$dc2013 210 1$aWaltham, MA :$cElsevier,$d2013. 215 $a1 online resource (xvii, 301 pages) $ccolor illustrations 225 0 $aGale eBooks 300 $aRevised edition of: Measuring the user experience / Tom Tullis, Bill Albert. 2008. 311 $a1-299-62214-3 311 $a0-12-415781-5 320 $aIncludes bibliographical references and index. 327 $aBackground -- Planning -- Performance metrics -- Issues based metrics -- Self-reported metrics -- Behavioral and physiological metrics -- Combined and comparative metrics -- Special topics -- Case studies -- Ten keys to success. 330 $aMeasuring the User Experience was the first book that focused on how to quantify the user experience. Now in the second edition, the authors include new material on how recent technologies have made it easier and more effective to collect a broader range of data about the user experience. As more UX and web professionals need to justify their design decisions with solid, reliable data, Measuring the User Experience provides the quantitative analysis training that these professionals need. The second edition presents new metrics such as emotional engagement, personas, keystroke analysis, and net promoter score. It also examines how new technologies coming from neuro-marketing and online market research can refine user experience measurement, helping usability and user experience practitioners make business cases to stakeholders. The book also contains new research and updated examples, including tips on writing online survey questions, six new case studies, and examples using the most recent version of Excel. Learn which metrics to select for every case, including behavioral, physiological, emotional, aesthetic, gestural, verbal, and physical, as well as more specialized metrics such as eye-tracking and clickstream data Find a vendor-neutral examination of how to measure the user experience with web sites, digital products, and virtually any other type of product or system Discover in-depth global case studies showing how organizations have successfully used metrics and the information they revealed Companion site, www.measuringux.com, includes articles, tools, spreadsheets, presentations, and other resources to help you effectively measure the user experience 606 $aUser interfaces (Computer systems)$xMeasurement 606 $aUser interfaces (Computer systems)$xEvaluation 606 $aTechnology assessment 615 0$aUser interfaces (Computer systems)$xMeasurement. 615 0$aUser interfaces (Computer systems)$xEvaluation. 615 0$aTechnology assessment. 676 $a005.4/37 700 $aTullis$b Tom$g(Thomas)$01625758 702 $aAlbert$b Bill$g(William), 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910809599103321 996 $aMeasuring the user experience$93961440 997 $aUNINA LEADER 04255nam 22006375 450 001 9910627271303321 005 20251113201607.0 010 $a3-031-06870-X 024 7 $a10.1007/978-3-031-06870-6 035 $a(MiAaPQ)EBC7048950 035 $a(Au-PeEL)EBL7048950 035 $a(CKB)24279682600041 035 $a(PPN)263900304 035 $a(OCoLC)1337156810 035 $a(DE-He213)978-3-031-06870-6 035 $a(EXLCZ)9924279682600041 100 $a20220722d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEffects of Data Overload on User Quality of Experience /$fby Josephina Antoniou, Orestis Tringides 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (133 pages) 225 1 $aEAI/Springer Innovations in Communication and Computing,$x2522-8609 311 08$aPrint version: Antoniou, Josephina Effects of Data Overload on User Quality of Experience Cham : Springer International Publishing AG,c2022 9783031068690 320 $aIncludes bibliographical references. 327 $a1. Responsible Innovation in Technology and Quality of Experience -- 2. Financial Data, Blockchain, decision-making and Quality of Experience -- 3. Personal Data, Cloud Platforms, Privacy and Quality of Experience -- 4. Public Data, Media Platforms, wellbeing, and Quality of Experience -- 5. Generated Data, Artificial Intelligence, power asymmetries and Quality of Experience -- 6. Big Data, Analytics, transparency and Quality of Experience -- 7. Context Data, The Internet of Things, security and Quality of Experience. . 330 $aThis book introduces a unique perspective on the use of data from popular emerging technologies and the effect on user quality of experience (QoE). The term data is first refined into specific types of data such as financial data, personal data, public data, context data, generated data, and the popular big data. The book focuses the responsible use of data, with consideration to ethics and wellbeing, in each setting. The specific nuances of different technologies bring forth interesting case studies, which the book breaks down into mathematical models so they can be analyzed and used as powerful tools. Overall, this perspective on the use of data from popular emerging technologies and the resulting QoE analysis will greatly benefit researchers, educators and students in fields related to ICT studies, especially where there is additional interest in ethics and wellbeing, user experience, data management, and their link to emerging technologies. Discusses quality of experience (QoE) as it relates to different applications of data technologies in the financial, personal, and public realms; Provides new mathematical example models of scenarios of emerging technologies, to explore the technologies themselves and to resolve the data-related issues; Includes both technical and non-technical perspectives to highlight the inter-disciplinary nature of QoE and analyzes them from different points of view. 410 0$aEAI/Springer Innovations in Communication and Computing,$x2522-8609 606 $aTelecommunication 606 $aUser interfaces (Computer systems) 606 $aHuman-computer interaction 606 $aApplication software 606 $aCommunications Engineering, Networks 606 $aUser Interfaces and Human Computer Interaction 606 $aComputer and Information Systems Applications 615 0$aTelecommunication. 615 0$aUser interfaces (Computer systems) 615 0$aHuman-computer interaction. 615 0$aApplication software. 615 14$aCommunications Engineering, Networks. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aComputer and Information Systems Applications. 676 $a005.7 676 $a005.437 700 $aAntoniou$b Josephina$0934432 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910627271303321 996 $aEffects of Data Overload on User Quality of Experience$92980225 997 $aUNINA