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Exploring QoE Quantification and Feedback in Network Services

This workshop, led by Markus Fiedler from Blekinge Institute of Technology, covers various aspects of Quality of Experience (QoE) quantification and the feedback mechanisms involved in user satisfaction with network services. Topics include real-life QoE assessment, the relationship between QoE and QoS, methods for quantifying QoE, and the importance of user feedback for service improvement. Attendees will gain insights into ongoing projects and upcoming activities in the field, as well as engage in discussions about socio-economic issues impacting network-based services.

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Exploring QoE Quantification and Feedback in Network Services

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  1. QoE Workshop 2009-09-18 QoE Quantification & Feedback Markus Fiedler, Blekinge Institute of Technology,Dept. of Computing (COM), Karlskrona, Sweden --

  2. Who we are Seniors @ COM/CCS Ph.D. students @ COM/CCS Charlott Eliasson Alex Popescu Tahir Nawaz Minhas Junaid Shaikh Hussein Aziz Ph.D. students @ ING Ulrich Engelke et al. . • Markus Fiedler • Patrik Arlos • Lars Lundberg Senior @ ING • Hans-Jürgen Zepernick

  3. Our current QoE-related projects • QoEMoVi/QoEMoS – mobile video/streaming • QoEWeb – user patience (Euro-NF) • Testbed available • Mobicome – authentication • EViMonA – seamless communication • PERIMETER – seamless communication • Euro-NF • IA.7.5 workshop on socio-economic issues

  4. Recent and upcoming activities • 18th ITC Specialist Seminar on QoE • Annals of Telecommunications Special Issue on QoE and socio-economic issues of network-based services (to be finalised) • Dagstuhl seminar 09192 From QoS to QoE/QoX • Euro-NF Ph.D. course in January 2010 • Euro-NF Workshop on Socio-Economic Issues in NF (autumn 2010)

  5. Areas of interest • Real-life QoE assessment (new) • QoE–QoS relationships • How to quantify QoE as function of QoS? • dQoE/dQoS ~ QoE  exponential function • Improvement of QoE • Cross-layer approaches • Choice of networks (seamless communications) • Service chains • QoE feedback

  6. Some recent ”exponentials” for surfing • Download time T ~ a1exp(b1 L) L = loss ratio • Throughput R ~ a2exp(–b2 L) • QoE ~ a3 – b3 Lor QoE ~ a4exp(–b4 L) • QoE ~ a5exp(– b5 T) or QoE ~ a6 – ln(b6 L) • QoE ~ a7 + b7 ln(R)

  7. QoE feedback • In case of problems • Mostly implicit • Organised? • Trustworthy? • Origin: workwithin EuroNGI[D.WP.JRA.6.1.1]

  8. … and its importance [HP study 2000] • Understanding that there’s a lot of people coming together on the process makes us more tolerant • I think it’s great...saying we are unusually busy, there may be some delays, you might want to visit later. You’ve told me now. It I decide to go ahead, that’s my choice. • As long as you see things coming up it’s not nearly as bad as just sitting there waiting and again you don’t know whether you’re stuck

  9. Specific topic: QoE feedback • Towards users • When? How? Effects? Trust? • Towards providers/regulators • When? How? Use? Economics? • From the user (end) • When? Where? How?Implicit? Explicit? Physiological? • Economic feedback • Interest? Basis? Instruments? Misuse?

  10. Questions and Discussion QoEQuantification & Feedback Markus Fiedler, Blekinge Institute of Technology,Dept. of Computing (COM), Karlskrona, Sweden --

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