SlideShare a Scribd company logo
1 of 23
February 2012




2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary   1
…                                                   …



 The VISUAL ATTENTION patterns              Playlist pages are visually                       Little focus on the right column
  for both services are distinct              distinct. Respondents usually                      with Facebook list (Spotify) and
  and show clear areas where                  start off centrally and move                       information (Rdio)
  respondents focused                         upwards




 A clear heat map indicates an                  Visually both services                         Low focus on these areas
  easy to interpret design and                    perform similar                                 potentially risks low awareness of
  layout                                                                                          the features offered


                              2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary                           2
Study Objective
• A comparison-test of the two music services Spotify and Rdio

• The test was set up to look at the two services’ visual performance on starting
  pages and playlists

• Test conducted monadic, i.e. respondent saw and evaluated one of the services




                  2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary   3
2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary   4
Less attention                                          More attention

                Heat maps are used within eye tracking to
               visualize the most viewed areas in a simple
                and intuitive way. The most colorful areas
                      mark what is most interesting.


2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary   5
More attention                                    Less attention
               An opacity map is a visualization tool
               used within eye tracking to show the
               most viewed areas of a picture, like a
              peephole. The transparent areas show
                     what is most interesting.


2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary   6
13 %

33 %
                                 29 %                                                        5%

                       92 %

                                                                    48 %
                                                                                                  100 %      52 %
                   96 %
                                        75 %
       63 %

                                                                    67 %



                58 %                                                                              95 %
                                                                                                             38 %
                                        42 %
                                                                    24 %




              8%
                                                                                                   10 %




                          Illustration shows average percent of respondents that saw each Area of Interest


                              2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary           7
0.5 s

1.1 s
                                      1.3 s                                                         1.2 s

                           2.1 s

                                                                           1s
                                                                                                            4s      1.6 s
                        3.4 s
                                              1.2 s
        2.2 s

                                                                          0.9 s



                   1.8 s                                                                                3.7 s
                                                                                                                    0.8 s
                                              0.9 s
                                                                          0.8 s




                0.4 s
                                                                                                            0.3 s




                                        Illustration shows average time on each Area of Interest in seconds


                                   2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary              8
7.3 s

3.9 s
                                   2.4 s                                                           2.8 s

                        1.3 s

                                                                        4.3 s
                                                                                                           0.4 s     3.8 s
                     1.9 s
                                            4s
        2s

                                                                        5.4 s



                4.8 s                                                                                  1.2 s
                                                                                                                     5.3 s
                                           4.8 s
                                                                        7.3 s




             8.8 s
                                                                                                           9.6 s




                             Illustration shows average time to first fixation on each Area of Interest in seconds


                                2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary                  9
9
5                                           4                                                                                3

                                1
                                                                                           5
    3                                                                                                                                                                          4
                                2                    6                                                                                1

                                                                                           7


                                7
                                                       8                                                                          2                                            6
                                                                                           8




                        10                                                                                                  9




    Illustration shows the fixation order, which is based on time to first fixation. “1” is the area the average respondent looks at first, “2” is the second area and so on



                                     2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary                                                                   10
2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary   11
Less attention                                            More attention


                 Heat maps are used within eye tracking to
                visualize the most viewed areas in a simple
                 and intuitive way. The most colorful areas
                       mark what is most interesting.


2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary    12
More attention                                       Less attention


               An opacity map is a visualization tool
               used within eye tracking to show the
               most viewed areas of a picture, like a
              peephole. The transparent areas show
                     what is most interesting.


2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary   13
13%

21 %                                                                                                   5%
                          29 %

              79 %
                              83 %
                                                                                              90 %
                                                                                                                  57 %
       75 %
                                                            48 %
               100 %




                                                                                            95 %
                                                                                                                 52 %

                                                            38 %
              79 %
                                                                                             24 %


                                                                                                            5%




                    Illustration shows average percent of respondents that saw each Area of Interest


                     2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary                    14
1s

0.6 s                                                                                                       8.6 s
                             0.9 s

                1.8 s
                                 1s
                                                                                                   4.8 s
                                                                                                                              1s
        2.5 s
                                                               1.4 s
                 2.9 s



                                                                                                    2.9 s
                                                                                                                            0.8 s

                                                               0.7 s
                2.1 s
                                                                                                   1.1 s


                                                                                                                    0.2 s




                             Illustration shows average time on each Area of Interest in seconds


                        2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary                            15
3.3 s

1s                                                                                                     1.4 s
                           5.7 s

              2.8 s
                              2.9 s
                                                                                              1.2 s
                                                                                                                        3.7 s
     1.5 s
                                                            2.1 s
                1.4 s



                                                                                               2.1 s
                                                                                                                       3.2 s

                                                            4 s
              3.3 s
                                                                                              3.6 s


                                                                                                               0.4 s




                 Illustration shows average time to first fixation on each Area of Interest in seconds


                      2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary                         16
7
                                                                                                                                       3
1                                                    8

                               4
                                                    5
                                                                                                                                        2                                          8
    3                                                                                          4

                                     2


                                                                                                                                        5                                          6

                                                                                               9
                                      6                                                                                                     7

                                                                                                                                                            1




        Illustration shows the fixation order, which is based on time to first fixation. “1” is the area the average respondent looks at first, “2” is the second area and so on



                                          2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary                                                              17
54%                                                                   47% 47%
                                                                 Rdio
            48%
                                                                 Spotify
                                                                            34%

                                                                                  28%
28% 27%
                                                                                                                                               Rdio
                         23%                                                                      19% 20%
                                                                                                                                               Spotify

                               13%

                                                                5%                                               4%
                                     1% 1%     1% 1%       0%                                               0%          0% 0%       0% 1%

Excellent   Good        Average      Poor    Very Poor   Undecided         Excellent    Good      Average   Poor      Very Poor   Undecided




                                     2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary                              18
41%                        41%

                     36%
        35%




                                       20%                                                            Rdio

                                              16%                                                     Spotify




                                                                 5%
                                                         3%
                                                                                                 2%
                                                                                 1%
                                                                           0%              0%

Excellent              Good            Average            Poor            Very Poor       Undecided




            2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary                      19
52%
                                                                                                                     61%
                               46%

                                                                                                               48%


                                           31%
                                     26%                      Rdio                                                                    Rdio
                                                                                                   27%
                                                              Spotify                                                                 Spotify
                                                                                                         21%
                                                                                                                           19%
                                                                                                                              15%
                                                 10% 11%
             8% 9%
  4% 4%                                                                     3% 2%      4%
                                                                                            1%


 Strongly   Disagree   Undecided      Agree      Strongly                  Strongly   Disagree   Undecided     Agree       Strongly
Disagree                                         Agree                    Disagree                                         Agree




                                     2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary                             20
39%               38%               Rdio
                                     37%   35%
                                                                   Spotify




                                                             17%
                                                       14%

                   8% 7%
       4%
            1%

       Strongly   Disagree   Undecided     Agree       Strongly
      Disagree                                         Agree




2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary   21
?




18%
                                                                                                  26%




          7%
                                         5%
                                                                 6%
                                                                                  3%                              4%
                         1%


Web   Unlimited   Unlimited Family   Don't know              Premium          Unlimited     Free (with ads)   Don't know




                  2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary                              22
Study Details
                                                        53%
                                                  50%         50%
                                                                     47%


                                                                                                34%
Stimuli time:    10 s                                                                     30%
                                                                                                                                                 Rdio
Research date:   24th of February 2012                                          21% 21%                         20% 18%                          Spotify
Respondents:                                                                                          16% 14%
                 30 quality eye tracking                                                                                  12% 12%
                  recordings
                                                                                                                                    1% 1%

                                                  Female      Male               18-24    25-34       35-44     45-54     55-64     65+


Methodology




  Sample                                                   Webcam Eye Tracking                                  Stimulus
   Respondents are recruited from web                      Respondents are asked to provide                    The stimulus is presented on the
    panels and represent the target                          their permission to give access to                   screen and the respondent’s gaze is
    group.                                                   their webcam during the short                        recorded and measured.
                                                             session when the stimulus is shown.
   Respondents are rewarded for their                                                                           The stimulus is followed by follow up
    participation by the panel company.                                                                           questions.


                                  2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary                                     23

More Related Content

Similar to Spotify vs. Rdio

79422 d337a8366836f8343835882cc9
 79422 d337a8366836f8343835882cc9 79422 d337a8366836f8343835882cc9
79422 d337a8366836f8343835882cc9Kenichi Yamanaka
 
Formation2011 q4
Formation2011 q4Formation2011 q4
Formation2011 q4Atreides6
 
Benedict Evans' presentation from On the go
Benedict Evans' presentation from On the goBenedict Evans' presentation from On the go
Benedict Evans' presentation from On the goCommunicate Magazine
 
Tax Seminar 2013 - Outlook by Robert Prega
Tax Seminar 2013 - Outlook by Robert PregaTax Seminar 2013 - Outlook by Robert Prega
Tax Seminar 2013 - Outlook by Robert PregaItaloblog
 
Mobile 101 Class 1: Technology and Mobile Behavior
Mobile 101 Class 1: Technology and Mobile BehaviorMobile 101 Class 1: Technology and Mobile Behavior
Mobile 101 Class 1: Technology and Mobile BehaviorThe Media Kitchen
 
Modern retailing “การค้าปลีกยุคใหม่ คุณพร้อมแล้วหรือยัง?”
Modern retailing “การค้าปลีกยุคใหม่ คุณพร้อมแล้วหรือยัง?”  Modern retailing “การค้าปลีกยุคใหม่ คุณพร้อมแล้วหรือยัง?”
Modern retailing “การค้าปลีกยุคใหม่ คุณพร้อมแล้วหรือยัง?” Utai Sukviwatsirikul
 
中国移动互联网产业行动启示录2011—蝴蝶效应 v1.2
中国移动互联网产业行动启示录2011—蝴蝶效应 v1.2中国移动互联网产业行动启示录2011—蝴蝶效应 v1.2
中国移动互联网产业行动启示录2011—蝴蝶效应 v1.2zhanglei lei
 
中国移动互联网产业行动启示录2011——蝴蝶效应 v1.2
中国移动互联网产业行动启示录2011——蝴蝶效应 v1.2中国移动互联网产业行动启示录2011——蝴蝶效应 v1.2
中国移动互联网产业行动启示录2011——蝴蝶效应 v1.236Kr.com
 
中国移动互联网产业行动启示录2011——蝴蝶效应 v1.2
中国移动互联网产业行动启示录2011——蝴蝶效应 v1.2中国移动互联网产业行动启示录2011——蝴蝶效应 v1.2
中国移动互联网产业行动启示录2011——蝴蝶效应 v1.236Kr.com
 
中国移动互联网产业行动启示录2011—蝴蝶效应
中国移动互联网产业行动启示录2011—蝴蝶效应中国移动互联网产业行动启示录2011—蝴蝶效应
中国移动互联网产业行动启示录2011—蝴蝶效应eric liu
 
中国移动互联网产业行动启示录2011——蝴蝶效应 v1.2
中国移动互联网产业行动启示录2011——蝴蝶效应 v1.2中国移动互联网产业行动启示录2011——蝴蝶效应 v1.2
中国移动互联网产业行动启示录2011——蝴蝶效应 v1.2AppLeap Inc.
 
Distributing Video To The Masses
Distributing Video To The MassesDistributing Video To The Masses
Distributing Video To The MassesRichard Harrington
 
Agile Workshop: Agile Metrics
Agile Workshop: Agile MetricsAgile Workshop: Agile Metrics
Agile Workshop: Agile MetricsSiddhi
 
Brief survey on Three-Dimensional Displays
Brief survey on Three-Dimensional DisplaysBrief survey on Three-Dimensional Displays
Brief survey on Three-Dimensional DisplaysTaufiq Widjanarko
 
Compressing audio and video for the web and delivery with a rss feed
Compressing audio and video for the web and delivery with a rss feedCompressing audio and video for the web and delivery with a rss feed
Compressing audio and video for the web and delivery with a rss feedRichard Harrington
 
Software Equity Report
Software Equity ReportSoftware Equity Report
Software Equity ReportMMMTechLaw
 
Portfolio Diversification
Portfolio DiversificationPortfolio Diversification
Portfolio DiversificationDonald Marano
 

Similar to Spotify vs. Rdio (20)

79422 d337a8366836f8343835882cc9
 79422 d337a8366836f8343835882cc9 79422 d337a8366836f8343835882cc9
79422 d337a8366836f8343835882cc9
 
Formation2011 q4
Formation2011 q4Formation2011 q4
Formation2011 q4
 
Benedict Evans' presentation from On the go
Benedict Evans' presentation from On the goBenedict Evans' presentation from On the go
Benedict Evans' presentation from On the go
 
Tax Seminar 2013 - Outlook by Robert Prega
Tax Seminar 2013 - Outlook by Robert PregaTax Seminar 2013 - Outlook by Robert Prega
Tax Seminar 2013 - Outlook by Robert Prega
 
Mobile 101 Class 1: Technology and Mobile Behavior
Mobile 101 Class 1: Technology and Mobile BehaviorMobile 101 Class 1: Technology and Mobile Behavior
Mobile 101 Class 1: Technology and Mobile Behavior
 
Modern retailing “การค้าปลีกยุคใหม่ คุณพร้อมแล้วหรือยัง?”
Modern retailing “การค้าปลีกยุคใหม่ คุณพร้อมแล้วหรือยัง?”  Modern retailing “การค้าปลีกยุคใหม่ คุณพร้อมแล้วหรือยัง?”
Modern retailing “การค้าปลีกยุคใหม่ คุณพร้อมแล้วหรือยัง?”
 
中国移动互联网产业行动启示录2011—蝴蝶效应 v1.2
中国移动互联网产业行动启示录2011—蝴蝶效应 v1.2中国移动互联网产业行动启示录2011—蝴蝶效应 v1.2
中国移动互联网产业行动启示录2011—蝴蝶效应 v1.2
 
中国移动互联网产业行动启示录2011——蝴蝶效应 v1.2
中国移动互联网产业行动启示录2011——蝴蝶效应 v1.2中国移动互联网产业行动启示录2011——蝴蝶效应 v1.2
中国移动互联网产业行动启示录2011——蝴蝶效应 v1.2
 
中国移动互联网产业行动启示录2011——蝴蝶效应 v1.2
中国移动互联网产业行动启示录2011——蝴蝶效应 v1.2中国移动互联网产业行动启示录2011——蝴蝶效应 v1.2
中国移动互联网产业行动启示录2011——蝴蝶效应 v1.2
 
中国移动互联网产业行动启示录2011—蝴蝶效应
中国移动互联网产业行动启示录2011—蝴蝶效应中国移动互联网产业行动启示录2011—蝴蝶效应
中国移动互联网产业行动启示录2011—蝴蝶效应
 
中国移动互联网产业行动启示录2011——蝴蝶效应 v1.2
中国移动互联网产业行动启示录2011——蝴蝶效应 v1.2中国移动互联网产业行动启示录2011——蝴蝶效应 v1.2
中国移动互联网产业行动启示录2011——蝴蝶效应 v1.2
 
Distributing Video To The Masses
Distributing Video To The MassesDistributing Video To The Masses
Distributing Video To The Masses
 
Hypersyndication
HypersyndicationHypersyndication
Hypersyndication
 
Agile Workshop: Agile Metrics
Agile Workshop: Agile MetricsAgile Workshop: Agile Metrics
Agile Workshop: Agile Metrics
 
Brief survey on Three-Dimensional Displays
Brief survey on Three-Dimensional DisplaysBrief survey on Three-Dimensional Displays
Brief survey on Three-Dimensional Displays
 
Compressing audio and video for the web and delivery with a rss feed
Compressing audio and video for the web and delivery with a rss feedCompressing audio and video for the web and delivery with a rss feed
Compressing audio and video for the web and delivery with a rss feed
 
392 2011 fallseminar_bethgallagher
392 2011 fallseminar_bethgallagher392 2011 fallseminar_bethgallagher
392 2011 fallseminar_bethgallagher
 
Software Equity Report
Software Equity ReportSoftware Equity Report
Software Equity Report
 
Manufacturing Economic Update
Manufacturing Economic UpdateManufacturing Economic Update
Manufacturing Economic Update
 
Portfolio Diversification
Portfolio DiversificationPortfolio Diversification
Portfolio Diversification
 

Recently uploaded

Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 

Recently uploaded (20)

Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 

Spotify vs. Rdio

  • 1. February 2012 2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary 1
  • 2. …  The VISUAL ATTENTION patterns  Playlist pages are visually  Little focus on the right column for both services are distinct distinct. Respondents usually with Facebook list (Spotify) and and show clear areas where start off centrally and move information (Rdio) respondents focused upwards  A clear heat map indicates an  Visually both services  Low focus on these areas easy to interpret design and perform similar potentially risks low awareness of layout the features offered 2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary 2
  • 3. Study Objective • A comparison-test of the two music services Spotify and Rdio • The test was set up to look at the two services’ visual performance on starting pages and playlists • Test conducted monadic, i.e. respondent saw and evaluated one of the services 2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary 3
  • 4. 2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary 4
  • 5. Less attention More attention Heat maps are used within eye tracking to visualize the most viewed areas in a simple and intuitive way. The most colorful areas mark what is most interesting. 2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary 5
  • 6. More attention Less attention An opacity map is a visualization tool used within eye tracking to show the most viewed areas of a picture, like a peephole. The transparent areas show what is most interesting. 2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary 6
  • 7. 13 % 33 % 29 % 5% 92 % 48 % 100 % 52 % 96 % 75 % 63 % 67 % 58 % 95 % 38 % 42 % 24 % 8% 10 % Illustration shows average percent of respondents that saw each Area of Interest 2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary 7
  • 8. 0.5 s 1.1 s 1.3 s 1.2 s 2.1 s 1s 4s 1.6 s 3.4 s 1.2 s 2.2 s 0.9 s 1.8 s 3.7 s 0.8 s 0.9 s 0.8 s 0.4 s 0.3 s Illustration shows average time on each Area of Interest in seconds 2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary 8
  • 9. 7.3 s 3.9 s 2.4 s 2.8 s 1.3 s 4.3 s 0.4 s 3.8 s 1.9 s 4s 2s 5.4 s 4.8 s 1.2 s 5.3 s 4.8 s 7.3 s 8.8 s 9.6 s Illustration shows average time to first fixation on each Area of Interest in seconds 2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary 9
  • 10. 9 5 4 3 1 5 3 4 2 6 1 7 7 8 2 6 8 10 9 Illustration shows the fixation order, which is based on time to first fixation. “1” is the area the average respondent looks at first, “2” is the second area and so on 2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary 10
  • 11. 2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary 11
  • 12. Less attention More attention Heat maps are used within eye tracking to visualize the most viewed areas in a simple and intuitive way. The most colorful areas mark what is most interesting. 2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary 12
  • 13. More attention Less attention An opacity map is a visualization tool used within eye tracking to show the most viewed areas of a picture, like a peephole. The transparent areas show what is most interesting. 2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary 13
  • 14. 13% 21 % 5% 29 % 79 % 83 % 90 % 57 % 75 % 48 % 100 % 95 % 52 % 38 % 79 % 24 % 5% Illustration shows average percent of respondents that saw each Area of Interest 2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary 14
  • 15. 1s 0.6 s 8.6 s 0.9 s 1.8 s 1s 4.8 s 1s 2.5 s 1.4 s 2.9 s 2.9 s 0.8 s 0.7 s 2.1 s 1.1 s 0.2 s Illustration shows average time on each Area of Interest in seconds 2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary 15
  • 16. 3.3 s 1s 1.4 s 5.7 s 2.8 s 2.9 s 1.2 s 3.7 s 1.5 s 2.1 s 1.4 s 2.1 s 3.2 s 4 s 3.3 s 3.6 s 0.4 s Illustration shows average time to first fixation on each Area of Interest in seconds 2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary 16
  • 17. 7 3 1 8 4 5 2 8 3 4 2 5 6 9 6 7 1 Illustration shows the fixation order, which is based on time to first fixation. “1” is the area the average respondent looks at first, “2” is the second area and so on 2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary 17
  • 18. 54% 47% 47% Rdio 48% Spotify 34% 28% 28% 27% Rdio 23% 19% 20% Spotify 13% 5% 4% 1% 1% 1% 1% 0% 0% 0% 0% 0% 1% Excellent Good Average Poor Very Poor Undecided Excellent Good Average Poor Very Poor Undecided 2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary 18
  • 19. 41% 41% 36% 35% 20% Rdio 16% Spotify 5% 3% 2% 1% 0% 0% Excellent Good Average Poor Very Poor Undecided 2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary 19
  • 20. 52% 61% 46% 48% 31% 26% Rdio Rdio 27% Spotify Spotify 21% 19% 15% 10% 11% 8% 9% 4% 4% 3% 2% 4% 1% Strongly Disagree Undecided Agree Strongly Strongly Disagree Undecided Agree Strongly Disagree Agree Disagree Agree 2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary 20
  • 21. 39% 38% Rdio 37% 35% Spotify 17% 14% 8% 7% 4% 1% Strongly Disagree Undecided Agree Strongly Disagree Agree 2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary 21
  • 22. ? 18% 26% 7% 5% 6% 3% 4% 1% Web Unlimited Unlimited Family Don't know Premium Unlimited Free (with ads) Don't know 2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary 22
  • 23. Study Details 53% 50% 50% 47% 34% Stimuli time: 10 s 30% Rdio Research date: 24th of February 2012 21% 21% 20% 18% Spotify Respondents: 16% 14% 30 quality eye tracking 12% 12% recordings 1% 1% Female Male 18-24 25-34 35-44 45-54 55-64 65+ Methodology Sample Webcam Eye Tracking Stimulus  Respondents are recruited from web  Respondents are asked to provide  The stimulus is presented on the panels and represent the target their permission to give access to screen and the respondent’s gaze is group. their webcam during the short recorded and measured. session when the stimulus is shown.  Respondents are rewarded for their  The stimulus is followed by follow up participation by the panel company. questions. 2011 © EyeTrackShop, Inc. All Rights Reserved. Confidential and Proprietary 23