03546nam a22004935i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001300153072001600166072001600182072002300198072001500221072001500236100008400251245013200335250001800467264006900485300006500554336002600619337002600645338003600671347002400707490006000731505039900791520133601190650002302526650004002549650003202589650003202621650004102653650005202694650003202746710003402778773002602812776003602838776003602874776003602910830006002946856004603006978-3-031-67551-5DE-He21320251030113048.0cr nn 008mamaa240917s2024    sz |    s    |||| 0|eng d  a97830316755157 a10.1007/978-3-031-67551-52doi 4aTK5102.9 7aTJF2bicssc 7aUYS2bicssc 7aTEC0670002bisacsh 7aTJF2thema 7aUYS2thema1 aSpang, Robert Philipp.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aIndividualized Quality of Experience Estimation in Audiovisual Communicationh[electronic resource] /cby Robert Philipp Spang.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXVI, 156 p. 23 illus., 19 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aT-Labs Series in Telecommunication Services,x2192-28290 aIntroduction -- Fundamentals -- The Individuality Assisted Estimation Model of Experience -- Operationalization of the IAE Model Entities: Relevant Dimensions in the Context of this Work -- Relationship Validation -- Model Weights Analysis and Structural Model Refinement -- Comparative Performance Analysis: Advantage of IAE Over Signal-Only Models -- Discussion, Future Work, and Conclusions.  aThe book presents an in-depth exploration of the Individuality Assisted Estimation (IAE) model in the context of Quality of Experience (QoE) assessment for multimedia, specifically audiovisual communication. The book delves into how individual characteristics, including psychological traits and states, influence perceptions of multimedia quality. The book argues for the integration of individual differences into these assessments, hypothesizing that this approach can enhance the accuracy and relevance of QoE ratings. Through a series of experiments and analyses, the book rigorously evaluates the effectiveness of the IAE model, comparing it against traditional methods, and highlights its particular strengths in estimating task load. The research contributes to the field by emphasizing the importance of individuality in multimedia quality assessment and offering a practical, empirically validated approach for incorporating individual differences into QoE models. Introduces the Individuality Assisted Estimation model of experience for application in multimedia quality assessment; Integrates psychological traits and states, and behavioral and physiological responses influencing quality perception; Examines individual differences in quality perception, offering insights into user experience with multimedia content. 0aSignal processing. 0aUser interfaces (Computer systems). 0aHuman-computer interaction. 0aComputational intelligence.14aSignal, Speech and Image Processing.24aUser Interfaces and Human Computer Interaction.24aComputational Intelligence.2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303167550808iPrinted edition:z978303167552208iPrinted edition:z9783031675539 0aT-Labs Series in Telecommunication Services,x2192-282940uhttps://doi.org/10.1007/978-3-031-67551-5