SlideShare una empresa de Scribd logo
1 de 13
INVESTIGATING THE IMPACT OF
     SENSORY EFFECTS ON THE QUALITY OF
    EXPERIENCE AND EMOTIONAL RESPONSE
               IN WEB VIDEOS
  Benjamin Rainer, Markus Waltl, Eva Cheng, Muawiyath Shujau, Christian Timmerer,
          Stephen Davis, Ian Burnett, Christian Ritz, Hermann Hellwagner

   Multimedia Communication (MMC) Research Group, Institute of Information Technology (ITEC), Alpen-Adria-
                 Universität Klagenfurt, Klagenfurt, Austria, firstname.lastname@itec.uni-klu.ac.at
    School of Electrical and Computer Engineering, Royal Melbourne Institute of Technology, Melbourne, VIC,
                                  Australia, 3000,firstname.lastname@rmit.edu.au
School of Electrical Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW,
                                Australia, 2522, {mshujau, stdavis, critz}@uow.edu.au




         Acknowledgments. This work was supported in part by Smart Services CRC
         (Australia) and the EC in the context of the ALICANTE (FP7-ICT-248652),
         SocialSensor (FP7-ICT-287975), and QUALINET (COST IC 1003) projects.
OVERVIEW
     Motivation
     Software
     Methodology
     Results
     Conclusion




    15 July 2012               2
MOTIVATION
 Sensory effects (e.g., wind, vibration, light) are a
  fairly new research area
 Only few user studies on sensory effects (e.g.,
  scent-based effects, light-based effects)
 Goal: to assess the enhancement of the user
  experience and the influence of sensory effects on
  the emotions




    15 July 2012                               3
HARDWARE
               Test Setup        amBX Premium Kit




15 July 2012                                        4
SOFTWARE
        Ambientlibrarywith Web
           browserplug-in




                                      SensoryEffect Video
                                      Annotation (SEVino)


15 July 2012                                      5
METHODOLOGY
 Subset of our sensory effect dataset
    15 Web video sequences                                             Sequence Name              Genre       Bit-rate
                                                                                                               (Kbit/s)
                                                                                                                          Length
                                                                                                                           (sec)
                                                                                                                                    Wind/
                                                                                                                                   Vibration
                                                                        2012                       Action       2186        29.1       6/8
    5 genres                                                           Prince of Persia
                                                                        Tron Legacy
                                                                                                   Action
                                                                                                   Action
                                                                                                                2114
                                                                                                                2379
                                                                                                                           24.89
                                                                                                                           25.08
                                                                                                                                       7/6
                                                                                                                                       7/4
                                                                        STS131 Launch               News        2812       30.09       7/5
            Action, news, commercial                                   Tornado
                                                                        Etna erupts
                                                                                                    News
                                                                                                    News
                                                                                                                1299
                                                                                                                3165
                                                                                                                           31.03
                                                                                                                           40.07
                                                                                                                                      4/12
                                                                                                                                     19/13
             documentary, sports                                        GoPro HD Th. Racing
                                                                        Verizon
                                                                                                 Commercial
                                                                                                 Commercial
                                                                                                                2429
                                                                                                                1819
                                                                                                                           30.09
                                                                                                                           30.15
                                                                                                                                       8/3
                                                                                                                                       4/4
                                                                        Audi                     Commercial     2245       30.19       9/5
      AAU Klagenfurt         RMIT University               UoW
                                                                        Volcano Britain          Documentary    2133        33.1      10/4
        amBX Premium Kit (Fan, Vibration Panel, Light, Sound);          African Cats             Documentary    2562        19.1       6/1
               24" Monitor with a resolution of 1400x1050               The Last Lions           Documentary    1850       37.04      25/6
                Mozilla Firefox 6 & 8 in full-screen mode               GoPro HD Berrecloth        Sports       3552       32.08     11/23
            Ambient Library 1.5 & Web browser plug-in 1.5               Travis Pastranas Rally     Sports       2619       32.08       8/8
     amBX Software (amBX System 1.1.3.2 and Philips amBX 1.04)          GoPro HD Ronnie R.         Sports       2245       23.16       7/7
                             HP Z400: Intel
     Dell Optiplex 655:
                           Xeon Quad Core           Intel Quad Core 3
  Pentium D 2.8 GHz w/
                         3.33 GHz w/ 6 GB GHz w/ 3GB RAM &
   1 GB RAM & ATI
                           RAM & Nvidia           Intel Q35 384MB
    Radeon HD 5450
                           Quadro FX 1800
     Windows XP SP3         Windows 7 64-bit        Windows XP SP3



  15 July 2012                                                                                                            6
METHODOLOGY
 Online test
 Introduction
    Textual introduction
           Provides same introduction to each participant
 Pre-questionnaire
    Gender, age, education, country, occupation
 Actual quality assessment
    Modified DSCQS
 Post-questionnaire
 Duration about 20 minutes for each participant
  15 July 2012                                               7
METHODOLOGY
     Web video sequences were selected randomly
     Modified Double Stimulus Continuous Quality Scale (DSCQS)




     T1 … Reference Web video sequence without sensory effects
     T2 … Voting possibility for emotions for the reference sequence
        List of selected emotions
             Taken from: T. Tsoneva, P. Fonseca, J. Skowronek, "Towards a groundtruthforaffectiveclassification
                   in movies", 11th IEEE International Symposium on Multimedia 2009 (ISM'09), IEEE Computer Society,
                   Washington, DC, USA, 2009.
             Eachemotion was additionallypresentedwith a scope
        Participant had to choose one or more emotions and rate their intensity from 0 (very
         weak) to 100 (very strong)
     T3 … Web Video sequence with sensory effects
     T4 … Voting possibility for emotions for the sequence with sensory effects
        Same as T2 but with sensory effects
        Add’l enhancement of the QoE sequence with sensory effects with respect to the
         sequence without sensory effects (continuous scale from 0 to 100)
    15 July 2012                                                                                         8
METHODOLOGY
     RMIT University
      21 participants
            • 12 female and 9 male
      Aged between 22 to 58          AAU
                                       26 participants
     University of                      • 18 female and 8 male
      Wollongong                       Aged between 20 to 57
      21 participants
            • 6 female and 15 male
      Aged between 22 to 53

    15 July 2012                                          9
RESULTS




                                      Emotionswithsignificantdifferences
EnhancementofQoEforeachgenrefor all   betweenwithandwithoutsensoryeffe
        threeuserstudies                    ctsfor RMIT, Australia

15 July 2012                                                10
EMOTIONS




    Emotions with significant          Emotions with significant
 differences between with and       differences between with and
without sensory effects for UoW,   without sensory effects for AAU,
           Australia                           Austria
 15 July 2012                                            11
CONCLUSIONS
     Sensory effects enhance the QoE

     Some genres are better suited for sensory effects
      (e.g., action, sports) than others

     Sensory effects influence the users’ emotions and
      their intensity
      Sensory effects positively influence active emotions (e.g.,
       worry, fun)   active emotions are increased in their
       intensity
      General conclusions on the influence on passive emotions
       (e.g., boredom, tiredness) cannot be stated
    15 July 2012                                            12
THANK YOU FOR YOUR ATTENTION




 15 July 2012            13

Más contenido relacionado

Más de Alpen-Adria-Universität

Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Video...
Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Video...Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Video...
Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Video...Alpen-Adria-Universität
 
Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Vid...
Empowerment of Atypical Viewers  via Low-Effort Personalized Modeling  of Vid...Empowerment of Atypical Viewers  via Low-Effort Personalized Modeling  of Vid...
Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Vid...Alpen-Adria-Universität
 
Optimizing Video Streaming for Sustainability and Quality: The Role of Prese...
Optimizing Video Streaming  for Sustainability and Quality: The Role of Prese...Optimizing Video Streaming  for Sustainability and Quality: The Role of Prese...
Optimizing Video Streaming for Sustainability and Quality: The Role of Prese...Alpen-Adria-Universität
 
Energy-Efficient Multi-Codec Bitrate-Ladder Estimation for Adaptive Video Str...
Energy-Efficient Multi-Codec Bitrate-Ladder Estimation for Adaptive Video Str...Energy-Efficient Multi-Codec Bitrate-Ladder Estimation for Adaptive Video Str...
Energy-Efficient Multi-Codec Bitrate-Ladder Estimation for Adaptive Video Str...Alpen-Adria-Universität
 
Machine Learning Based Resource Utilization Prediction in the Computing Conti...
Machine Learning Based Resource Utilization Prediction in the Computing Conti...Machine Learning Based Resource Utilization Prediction in the Computing Conti...
Machine Learning Based Resource Utilization Prediction in the Computing Conti...Alpen-Adria-Universität
 
Evaluation of Quality of Experience of ABR Schemes in Gaming Stream
Evaluation of Quality of Experience of ABR Schemes in Gaming StreamEvaluation of Quality of Experience of ABR Schemes in Gaming Stream
Evaluation of Quality of Experience of ABR Schemes in Gaming StreamAlpen-Adria-Universität
 
Network-Assisted Delivery of Adaptive Video Streaming Services through CDN, S...
Network-Assisted Delivery of Adaptive Video Streaming Services through CDN, S...Network-Assisted Delivery of Adaptive Video Streaming Services through CDN, S...
Network-Assisted Delivery of Adaptive Video Streaming Services through CDN, S...Alpen-Adria-Universität
 
Multi-access Edge Computing for Adaptive Video Streaming
Multi-access Edge Computing for Adaptive Video StreamingMulti-access Edge Computing for Adaptive Video Streaming
Multi-access Edge Computing for Adaptive Video StreamingAlpen-Adria-Universität
 
Policy-Driven Dynamic HTTP Adaptive Streaming Player Environment
Policy-Driven Dynamic HTTP Adaptive Streaming Player EnvironmentPolicy-Driven Dynamic HTTP Adaptive Streaming Player Environment
Policy-Driven Dynamic HTTP Adaptive Streaming Player EnvironmentAlpen-Adria-Universität
 
VE-Match: Video Encoding Matching-based Model for Cloud and Edge Computing In...
VE-Match: Video Encoding Matching-based Model for Cloud and Edge Computing In...VE-Match: Video Encoding Matching-based Model for Cloud and Edge Computing In...
VE-Match: Video Encoding Matching-based Model for Cloud and Edge Computing In...Alpen-Adria-Universität
 
Energy Consumption in Video Streaming: Components, Measurements, and Strategies
Energy Consumption in Video Streaming: Components, Measurements, and StrategiesEnergy Consumption in Video Streaming: Components, Measurements, and Strategies
Energy Consumption in Video Streaming: Components, Measurements, and StrategiesAlpen-Adria-Universität
 
Exploring the Energy Consumption of Video Streaming: Components, Challenges, ...
Exploring the Energy Consumption of Video Streaming: Components, Challenges, ...Exploring the Energy Consumption of Video Streaming: Components, Challenges, ...
Exploring the Energy Consumption of Video Streaming: Components, Challenges, ...Alpen-Adria-Universität
 
Video Coding Enhancements for HTTP Adaptive Streaming Using Machine Learning
Video Coding Enhancements for HTTP Adaptive Streaming Using Machine LearningVideo Coding Enhancements for HTTP Adaptive Streaming Using Machine Learning
Video Coding Enhancements for HTTP Adaptive Streaming Using Machine LearningAlpen-Adria-Universität
 
Optimizing QoE and Latency of Live Video Streaming Using Edge Computing a...
Optimizing  QoE and Latency of  Live Video Streaming Using  Edge Computing  a...Optimizing  QoE and Latency of  Live Video Streaming Using  Edge Computing  a...
Optimizing QoE and Latency of Live Video Streaming Using Edge Computing a...Alpen-Adria-Universität
 
SARENA: SFC-Enabled Architecture for Adaptive Video Streaming Applications
SARENA: SFC-Enabled Architecture for Adaptive Video Streaming ApplicationsSARENA: SFC-Enabled Architecture for Adaptive Video Streaming Applications
SARENA: SFC-Enabled Architecture for Adaptive Video Streaming ApplicationsAlpen-Adria-Universität
 
Immersive Video Delivery: From Omnidirectional Video to Holography
Immersive Video Delivery: From Omnidirectional Video to HolographyImmersive Video Delivery: From Omnidirectional Video to Holography
Immersive Video Delivery: From Omnidirectional Video to HolographyAlpen-Adria-Universität
 
LLL-CAdViSE: Live Low-Latency Cloud-based Adaptive Video Streaming Evaluation...
LLL-CAdViSE: Live Low-Latency Cloud-based Adaptive Video Streaming Evaluation...LLL-CAdViSE: Live Low-Latency Cloud-based Adaptive Video Streaming Evaluation...
LLL-CAdViSE: Live Low-Latency Cloud-based Adaptive Video Streaming Evaluation...Alpen-Adria-Universität
 
HTTP Adaptive Streaming – Quo Vadis? (2023)
HTTP Adaptive Streaming – Quo Vadis? (2023)HTTP Adaptive Streaming – Quo Vadis? (2023)
HTTP Adaptive Streaming – Quo Vadis? (2023)Alpen-Adria-Universität
 
How to Optimize Dynamic Adaptive Video Streaming? Challenges and Solutions
How to Optimize Dynamic Adaptive Video Streaming? Challenges and SolutionsHow to Optimize Dynamic Adaptive Video Streaming? Challenges and Solutions
How to Optimize Dynamic Adaptive Video Streaming? Challenges and SolutionsAlpen-Adria-Universität
 
MPEC2: Multilayer and Pipeline Video Encoding on the Computing Continuum
MPEC2: Multilayer and Pipeline Video Encoding on the Computing ContinuumMPEC2: Multilayer and Pipeline Video Encoding on the Computing Continuum
MPEC2: Multilayer and Pipeline Video Encoding on the Computing ContinuumAlpen-Adria-Universität
 

Más de Alpen-Adria-Universität (20)

Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Video...
Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Video...Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Video...
Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Video...
 
Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Vid...
Empowerment of Atypical Viewers  via Low-Effort Personalized Modeling  of Vid...Empowerment of Atypical Viewers  via Low-Effort Personalized Modeling  of Vid...
Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Vid...
 
Optimizing Video Streaming for Sustainability and Quality: The Role of Prese...
Optimizing Video Streaming  for Sustainability and Quality: The Role of Prese...Optimizing Video Streaming  for Sustainability and Quality: The Role of Prese...
Optimizing Video Streaming for Sustainability and Quality: The Role of Prese...
 
Energy-Efficient Multi-Codec Bitrate-Ladder Estimation for Adaptive Video Str...
Energy-Efficient Multi-Codec Bitrate-Ladder Estimation for Adaptive Video Str...Energy-Efficient Multi-Codec Bitrate-Ladder Estimation for Adaptive Video Str...
Energy-Efficient Multi-Codec Bitrate-Ladder Estimation for Adaptive Video Str...
 
Machine Learning Based Resource Utilization Prediction in the Computing Conti...
Machine Learning Based Resource Utilization Prediction in the Computing Conti...Machine Learning Based Resource Utilization Prediction in the Computing Conti...
Machine Learning Based Resource Utilization Prediction in the Computing Conti...
 
Evaluation of Quality of Experience of ABR Schemes in Gaming Stream
Evaluation of Quality of Experience of ABR Schemes in Gaming StreamEvaluation of Quality of Experience of ABR Schemes in Gaming Stream
Evaluation of Quality of Experience of ABR Schemes in Gaming Stream
 
Network-Assisted Delivery of Adaptive Video Streaming Services through CDN, S...
Network-Assisted Delivery of Adaptive Video Streaming Services through CDN, S...Network-Assisted Delivery of Adaptive Video Streaming Services through CDN, S...
Network-Assisted Delivery of Adaptive Video Streaming Services through CDN, S...
 
Multi-access Edge Computing for Adaptive Video Streaming
Multi-access Edge Computing for Adaptive Video StreamingMulti-access Edge Computing for Adaptive Video Streaming
Multi-access Edge Computing for Adaptive Video Streaming
 
Policy-Driven Dynamic HTTP Adaptive Streaming Player Environment
Policy-Driven Dynamic HTTP Adaptive Streaming Player EnvironmentPolicy-Driven Dynamic HTTP Adaptive Streaming Player Environment
Policy-Driven Dynamic HTTP Adaptive Streaming Player Environment
 
VE-Match: Video Encoding Matching-based Model for Cloud and Edge Computing In...
VE-Match: Video Encoding Matching-based Model for Cloud and Edge Computing In...VE-Match: Video Encoding Matching-based Model for Cloud and Edge Computing In...
VE-Match: Video Encoding Matching-based Model for Cloud and Edge Computing In...
 
Energy Consumption in Video Streaming: Components, Measurements, and Strategies
Energy Consumption in Video Streaming: Components, Measurements, and StrategiesEnergy Consumption in Video Streaming: Components, Measurements, and Strategies
Energy Consumption in Video Streaming: Components, Measurements, and Strategies
 
Exploring the Energy Consumption of Video Streaming: Components, Challenges, ...
Exploring the Energy Consumption of Video Streaming: Components, Challenges, ...Exploring the Energy Consumption of Video Streaming: Components, Challenges, ...
Exploring the Energy Consumption of Video Streaming: Components, Challenges, ...
 
Video Coding Enhancements for HTTP Adaptive Streaming Using Machine Learning
Video Coding Enhancements for HTTP Adaptive Streaming Using Machine LearningVideo Coding Enhancements for HTTP Adaptive Streaming Using Machine Learning
Video Coding Enhancements for HTTP Adaptive Streaming Using Machine Learning
 
Optimizing QoE and Latency of Live Video Streaming Using Edge Computing a...
Optimizing  QoE and Latency of  Live Video Streaming Using  Edge Computing  a...Optimizing  QoE and Latency of  Live Video Streaming Using  Edge Computing  a...
Optimizing QoE and Latency of Live Video Streaming Using Edge Computing a...
 
SARENA: SFC-Enabled Architecture for Adaptive Video Streaming Applications
SARENA: SFC-Enabled Architecture for Adaptive Video Streaming ApplicationsSARENA: SFC-Enabled Architecture for Adaptive Video Streaming Applications
SARENA: SFC-Enabled Architecture for Adaptive Video Streaming Applications
 
Immersive Video Delivery: From Omnidirectional Video to Holography
Immersive Video Delivery: From Omnidirectional Video to HolographyImmersive Video Delivery: From Omnidirectional Video to Holography
Immersive Video Delivery: From Omnidirectional Video to Holography
 
LLL-CAdViSE: Live Low-Latency Cloud-based Adaptive Video Streaming Evaluation...
LLL-CAdViSE: Live Low-Latency Cloud-based Adaptive Video Streaming Evaluation...LLL-CAdViSE: Live Low-Latency Cloud-based Adaptive Video Streaming Evaluation...
LLL-CAdViSE: Live Low-Latency Cloud-based Adaptive Video Streaming Evaluation...
 
HTTP Adaptive Streaming – Quo Vadis? (2023)
HTTP Adaptive Streaming – Quo Vadis? (2023)HTTP Adaptive Streaming – Quo Vadis? (2023)
HTTP Adaptive Streaming – Quo Vadis? (2023)
 
How to Optimize Dynamic Adaptive Video Streaming? Challenges and Solutions
How to Optimize Dynamic Adaptive Video Streaming? Challenges and SolutionsHow to Optimize Dynamic Adaptive Video Streaming? Challenges and Solutions
How to Optimize Dynamic Adaptive Video Streaming? Challenges and Solutions
 
MPEC2: Multilayer and Pipeline Video Encoding on the Computing Continuum
MPEC2: Multilayer and Pipeline Video Encoding on the Computing ContinuumMPEC2: Multilayer and Pipeline Video Encoding on the Computing Continuum
MPEC2: Multilayer and Pipeline Video Encoding on the Computing Continuum
 

Último

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEarley Information Science
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?Antenna Manufacturer Coco
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUK Journal
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 

Último (20)

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 

Investigating the Impact of Sensory effects on the quality of experience and emotional response in web videos

  • 1. INVESTIGATING THE IMPACT OF SENSORY EFFECTS ON THE QUALITY OF EXPERIENCE AND EMOTIONAL RESPONSE IN WEB VIDEOS Benjamin Rainer, Markus Waltl, Eva Cheng, Muawiyath Shujau, Christian Timmerer, Stephen Davis, Ian Burnett, Christian Ritz, Hermann Hellwagner Multimedia Communication (MMC) Research Group, Institute of Information Technology (ITEC), Alpen-Adria- Universität Klagenfurt, Klagenfurt, Austria, firstname.lastname@itec.uni-klu.ac.at School of Electrical and Computer Engineering, Royal Melbourne Institute of Technology, Melbourne, VIC, Australia, 3000,firstname.lastname@rmit.edu.au School of Electrical Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, Australia, 2522, {mshujau, stdavis, critz}@uow.edu.au Acknowledgments. This work was supported in part by Smart Services CRC (Australia) and the EC in the context of the ALICANTE (FP7-ICT-248652), SocialSensor (FP7-ICT-287975), and QUALINET (COST IC 1003) projects.
  • 2. OVERVIEW  Motivation  Software  Methodology  Results  Conclusion 15 July 2012 2
  • 3. MOTIVATION  Sensory effects (e.g., wind, vibration, light) are a fairly new research area  Only few user studies on sensory effects (e.g., scent-based effects, light-based effects)  Goal: to assess the enhancement of the user experience and the influence of sensory effects on the emotions 15 July 2012 3
  • 4. HARDWARE Test Setup amBX Premium Kit 15 July 2012 4
  • 5. SOFTWARE Ambientlibrarywith Web browserplug-in SensoryEffect Video Annotation (SEVino) 15 July 2012 5
  • 6. METHODOLOGY  Subset of our sensory effect dataset  15 Web video sequences Sequence Name Genre Bit-rate (Kbit/s) Length (sec) Wind/ Vibration 2012 Action 2186 29.1 6/8  5 genres Prince of Persia Tron Legacy Action Action 2114 2379 24.89 25.08 7/6 7/4 STS131 Launch News 2812 30.09 7/5  Action, news, commercial Tornado Etna erupts News News 1299 3165 31.03 40.07 4/12 19/13 documentary, sports GoPro HD Th. Racing Verizon Commercial Commercial 2429 1819 30.09 30.15 8/3 4/4 Audi Commercial 2245 30.19 9/5 AAU Klagenfurt RMIT University UoW Volcano Britain Documentary 2133 33.1 10/4 amBX Premium Kit (Fan, Vibration Panel, Light, Sound); African Cats Documentary 2562 19.1 6/1 24" Monitor with a resolution of 1400x1050 The Last Lions Documentary 1850 37.04 25/6 Mozilla Firefox 6 & 8 in full-screen mode GoPro HD Berrecloth Sports 3552 32.08 11/23 Ambient Library 1.5 & Web browser plug-in 1.5 Travis Pastranas Rally Sports 2619 32.08 8/8 amBX Software (amBX System 1.1.3.2 and Philips amBX 1.04) GoPro HD Ronnie R. Sports 2245 23.16 7/7 HP Z400: Intel Dell Optiplex 655: Xeon Quad Core Intel Quad Core 3 Pentium D 2.8 GHz w/ 3.33 GHz w/ 6 GB GHz w/ 3GB RAM & 1 GB RAM & ATI RAM & Nvidia Intel Q35 384MB Radeon HD 5450 Quadro FX 1800 Windows XP SP3 Windows 7 64-bit Windows XP SP3 15 July 2012 6
  • 7. METHODOLOGY  Online test  Introduction  Textual introduction  Provides same introduction to each participant  Pre-questionnaire  Gender, age, education, country, occupation  Actual quality assessment  Modified DSCQS  Post-questionnaire  Duration about 20 minutes for each participant 15 July 2012 7
  • 8. METHODOLOGY  Web video sequences were selected randomly  Modified Double Stimulus Continuous Quality Scale (DSCQS)  T1 … Reference Web video sequence without sensory effects  T2 … Voting possibility for emotions for the reference sequence  List of selected emotions  Taken from: T. Tsoneva, P. Fonseca, J. Skowronek, "Towards a groundtruthforaffectiveclassification in movies", 11th IEEE International Symposium on Multimedia 2009 (ISM'09), IEEE Computer Society, Washington, DC, USA, 2009.  Eachemotion was additionallypresentedwith a scope  Participant had to choose one or more emotions and rate their intensity from 0 (very weak) to 100 (very strong)  T3 … Web Video sequence with sensory effects  T4 … Voting possibility for emotions for the sequence with sensory effects  Same as T2 but with sensory effects  Add’l enhancement of the QoE sequence with sensory effects with respect to the sequence without sensory effects (continuous scale from 0 to 100) 15 July 2012 8
  • 9. METHODOLOGY  RMIT University  21 participants • 12 female and 9 male  Aged between 22 to 58  AAU  26 participants  University of • 18 female and 8 male Wollongong  Aged between 20 to 57  21 participants • 6 female and 15 male  Aged between 22 to 53 15 July 2012 9
  • 10. RESULTS Emotionswithsignificantdifferences EnhancementofQoEforeachgenrefor all betweenwithandwithoutsensoryeffe threeuserstudies ctsfor RMIT, Australia 15 July 2012 10
  • 11. EMOTIONS Emotions with significant Emotions with significant differences between with and differences between with and without sensory effects for UoW, without sensory effects for AAU, Australia Austria 15 July 2012 11
  • 12. CONCLUSIONS  Sensory effects enhance the QoE  Some genres are better suited for sensory effects (e.g., action, sports) than others  Sensory effects influence the users’ emotions and their intensity  Sensory effects positively influence active emotions (e.g., worry, fun) active emotions are increased in their intensity  General conclusions on the influence on passive emotions (e.g., boredom, tiredness) cannot be stated 15 July 2012 12
  • 13. THANK YOU FOR YOUR ATTENTION 15 July 2012 13