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001 978-3-031-67551-5
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020 _a9783031675515
_9978-3-031-67551-5
024 7 _a10.1007/978-3-031-67551-5
_2doi
050 4 _aTK5102.9
072 7 _aTJF
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC067000
_2bisacsh
072 7 _aTJF
_2thema
072 7 _aUYS
_2thema
100 1 _aSpang, Robert Philipp.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_984489
245 1 0 _aIndividualized Quality of Experience Estimation in Audiovisual Communication
_h[electronic resource] /
_cby Robert Philipp Spang.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXVI, 156 p. 23 illus., 19 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aT-Labs Series in Telecommunication Services,
_x2192-2829
505 0 _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.
520 _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.
650 0 _aSignal processing.
650 0 _aUser interfaces (Computer systems).
_964688
650 0 _aHuman-computer interaction.
_964854
650 0 _aComputational intelligence.
_964052
650 1 4 _aSignal, Speech and Image Processing.
650 2 4 _aUser Interfaces and Human Computer Interaction.
_966577
650 2 4 _aComputational Intelligence.
_964052
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031675508
776 0 8 _iPrinted edition:
_z9783031675522
776 0 8 _iPrinted edition:
_z9783031675539
830 0 _aT-Labs Series in Telecommunication Services,
_x2192-2829
_970775
856 4 0 _uhttps://doi.org/10.1007/978-3-031-67551-5
912 _aZDB-2-ENG
912 _aZDB-2-SXE
999 _c63464
_d63464