SlideShare a Scribd company logo
1 of 48
Comparing a Video Projector
and an Inter-PC Screen
Broadcasting System in a
Computer Laboratory
Takashi Yamanoue, Koichi Shimozono,
Kentaro Oda
Kagoshima University
Contents
1.   INTRODUCTION
2.   OUTLINE OF THE USABILITY TESTING
3.   OUTLINE OF SOLAR-CATS
4.   THE EXPERIMENT AND ITS RESULT
5.   EXPERIENCES
6.   RELATED WORKS
7.   CONCLUDING REMARKS
1. INTRODUCTION
 Presentation tools in a Computer Lab.
    Video projectors
    Inter-PC screen broadcasting systems
    …
 When designing the Lab,
     What kind of ?
     How many
 We would like to have some benchmarks of
  presentation tools.
 Experimental benchmark
 A Usability testing procedure
 Compared cognitive effects on users
    A video projector
     An inter-PC screen broadcasting system

   Quantitative results
        of presentation tools' cognitive effects on users'
        cognition ability.
   The usability testing
       Repeat
        A  sample text -> Subjects, using a target tool
         Subjects type
         Record Typing speed and its accuracy
   SOLAR-CATS
     A computer assisted teaching tool
     The text editor
     User activity recorder
   The result
       The projector was better
          if   there was small amount of data on one screen
       The screen broadcasting system was better
          if   there was a large amount of data on one screen.
2. OUTLINE OF
 THE USABILITY TESTING
   A way of measuring effects of target
    presentation tools
       collect the results of tests on cognition of
        subjects (who are supposed to be the audience or students)
         after      the same materials were shown
              (to   the subjects)
         inthe same environments
         using such different target tools.
   It is not a fair comparison
     to show the same materials
     to the same subject using a target tool
     after showing the same material to the same
      subject using another target tool
   because the subject can remember the
    material previously shown.
 A solution
 The sample text 1 of difficulty 1
  -> Subjects(1,2,…n)
      usingthe target tool 1
      Subjects type
      Record Typing speed and its accuracy

   The sample text 2 of difficulty 1
    -> Subjects(1,2,…n)
      usingthe target tool 2
      Subjects type
      Record Typing speed and its accuracy

   …
 …
     The sample text k of difficulty l
      -> Subjects(1,2,…n)
          usingthe target tool j
          Subjects type
          Record Typing speed and its accuracy

       The sample text k+1 of difficulty l
        -> Subjects(1,2,…n)
          usingthe target tool j+1
          Subjects type
          Record Typing speed and its accuracy

   …
   Typing speed and its accuracy
       Effect
          on the subject Mi
          showing the k th sample text Lj,k,l
           of difficulty l
          Using the target tool j

     E(Mi,Lj,k,l)
      or
     Result Ri,j,k,l     (=E(Mi,Lj,k,l))
   for(l=1; l<s; l++){
     for(k=1; k<r; k++){
       for(j=1; j<m; j++){
          Show the material Lj,k,l using the tool Tj
               to the set of subjects A={M1, …, Mn};
          All of subjects test for cognition of Lj,k,l;
          Collect Ri,j,k,l (=E(Mi,Lj,k,l)); }
          Rest-1, a term of rest;
       }
        Rest-2, a term of rest;
   }
   Information conductivity
      To the i th subject
      From the j th target tool
      Of the k th sample text of difficulty l

   How fast and how precise the i-th subject
    typed the Lj,k,l when j-th tool is used.
   Ri,j,k,l
   Multiplication of
     Average speed of typing of the sample text
     Precision (1- Error rate)




 Ri,j,k,l=Avi,j,k,l(1-Aerri,j,k,l)
    Letters/second
 R*,j,*,l
    Theaverage values of Ri,j,k,l in the
    experiment
      Where j-th target tool is used and
      The materials were l-th difficulty.
3. OUTLINE OF SOLAR-CATS
 A WYSIWIS (What You See Is What I See)
 Enables sharing real-time operation of
       Applications
          text editor
          draw
          a simple programming environment
          web browser
          writer’s assistant , …

       All equipped with SOLAR-CATS.
   Consists of
     node systems (nodes)
     a group manager.

   Each node system
     Applications
     A main controller
     A command transceiver
     An event recorder/player
Group Manager

                 Teacher’s node system


                 TCP                 TCP    Student’s node
Student’s node                              system
system


                                                   TCP
 TCP                   TCP     TCP




Student’s node    Student’s node Student’s node Student’s    node
system                                          system
                  system         system
Writer’s Assistant

                             Web Browser
                  Programming Environment

         Text Editor

 Draw

                                      Applications

Main Controller        Command                   Event Recorder/
                       Transceiver               Player




                       Network
4. THE EXPERIMENT AND ITS
        RESULT
   Image broadcasting function of SOLAR-CATS
    VS.
   The video projector
     hung from the ceiling of the laboratory.
     Brightness of the projector : 5000 lm
     Size of the screen: width 2m45cm, height
      1m84cm
     Distance from the screen to the projector: 5m
 Distance from the screen to the subject at the
  most far side: 5m 50cm
 Position of the projector from the subjects: Left
  side or right side from the subjects.
 Distance from the floor to the lowest side of the
  screen: 92cm
 Ceiling lights for the screen were turned off.
 All other ceiling lights were turned on.
   Sample texts
     Power point slides of Japanese sentences
     The difficulty of materials was the number of
      letters on one slide.
        2   kinds of difficulties (s=2)
     30 letters total, 3 lines and 10 letters in one line.
      The size of a letter was 72 point.
     120 letters total, 6 lines and 20 letters in one
      line. The size of a letter was 36 point.
   6 sets of the above slides (sr=6)
Examples   of sample texts
Target   tools
Recording   data
 82247:o-drawing fc(0).mm(180,430)
 82434:o-drawing fc(0).mxit(173,428)
…
 99219:m-tedit txtedit.txt.kty(0,0,26085)
 99219:m-tedit txtedit.txt.kty(0,1,26412)
Results
j=Video Projector   j=SOLAR-CATS

  l=1,       R*,j,*,l=1.36      R*,j,*,l=1.17
30
letters      (std. 0.58)        (std. 0.39)

  l=2,       R*,j,*,l=1.04      R*,j,*,l=1.17
120
letters      (std. 0.38)        (std. 0.32)
   Conductivity of projector is better
       if the number of letters was smaller
   Conductivity of SOLAR-CATS is better
       if the number of letters was larger.
   Standard distributions of the projector were
    larger than that of SOLAR-CATS.
       It might say that the conductivity of the
        projector is affected by the subject’s position.
5. RELATED WORK
   Quantitative evaluation of a GUI
      has been studying as a research of usability for
      many years.
     Survey and usability testing are used for this
      evaluation[5].
     Our experiment can be considered as one of
      usability testing.
   Full-dress usability testing
     A usability laboratory, monitors   and usability
      engineers
     Much money and time
   Nielsen, J.
     Easy ways of usability testing
     Five subjects are enough.
          If   qualities of subjects is not so distributed
   Our experiment
       has no problem for the number of subjects
            in this sense.
       Automate some of observation of test and
        marking the test using tools such like SOLAR-
        CATS.
   KLM (Keystroke-Level Model)
     Can be used by individuals or companies
      seeking ways to estimate the time it takes to
      complete simple data input tasks using a
      computer and mouse[2].
     Our experiment uses a kind of KLM.
     SOLAR-CATS was used to obtain some values of
      KLM.
   Aoki and others
     A system which records and replay operations
      of a Web client.
     KLM using the system with an editor on a Web
      page
     Does not have the function which broadcast
      images and operations to many clients in a
      short time.
     On the other hand, SOLAR-CATS has the
      function.
   Nishida and others
     Collected keystroke interval data of daily usage
      at computer laboratories of a university[6].
     The data of computer laboratories was better
      than the data of the controlled experiment.
     Our experiment was a controlled experiment
      this time. It is not so difficult to collect the data
      of daily usage using SOLAR-CATS.
   Tamura
     An optimum letter size and an optimum space
      between lines of texts
     which are displayed on an electronic chalk
      board for distance learning environment[7].
     He has used a survey to obtain the results while
      we have used usability testing. In other words,
      his test is a subjective test and our test is an
      objective test.
   Kiyohara and others
     Understandability of printed materials are better
      than that of materials on an LCD or a CRT.
     Similar to our procedure.
     Used test sheets which ask yes or no answer
      about contents of materials to subjects.
     It requires much money or time in order to
      prepare the test sheets.
     Our experiment does not require test sheets.
6. CONCLUDING                 REMARKS
 A usability testing of presentation tools for
  computer laboratories
 Compared a video projector and inter-PC
  broadcasting system
 SOLAR-CATS is used
      as the inter-PC broadcasting system
     It is also used for recording the experiment.
 The results were in our common knowledge.
   Not new…
 However, we could have Quantitative
  results.
 Would like to have more precise results.
7. Acknowledgement

 We thank our students who are subjects of
  the experiment and help us to develop and
  test SOLAR-CATS.
 A part of this work was supported by Grant-
  in-Aid for Scientific Research of Japan
  Society for the Promotion of Science,
  Fundamental Research(C), 17500041.

More Related Content

What's hot

Tutorial on convolutional neural networks
Tutorial on convolutional neural networksTutorial on convolutional neural networks
Tutorial on convolutional neural networksHojin Yang
 
Introduction to deep learning based voice activity detection
Introduction to deep learning based voice activity detectionIntroduction to deep learning based voice activity detection
Introduction to deep learning based voice activity detectionNAVER Engineering
 
Game Assignments in computer Science
Game Assignments in computer ScienceGame Assignments in computer Science
Game Assignments in computer ScienceKatrin Becker
 
TypeScript and Deep Learning
TypeScript and Deep LearningTypeScript and Deep Learning
TypeScript and Deep LearningOswald Campesato
 
Voice Activity Detection using Single Frequency Filtering
Voice Activity Detection using Single Frequency FilteringVoice Activity Detection using Single Frequency Filtering
Voice Activity Detection using Single Frequency FilteringTejus Adiga M
 
Piotr Mirowski - Review Autoencoders (Deep Learning) - CIUUK14
Piotr Mirowski - Review Autoencoders (Deep Learning) - CIUUK14Piotr Mirowski - Review Autoencoders (Deep Learning) - CIUUK14
Piotr Mirowski - Review Autoencoders (Deep Learning) - CIUUK14Daniel Lewis
 
Artificial Intelligence, Machine Learning and Deep Learning
Artificial Intelligence, Machine Learning and Deep LearningArtificial Intelligence, Machine Learning and Deep Learning
Artificial Intelligence, Machine Learning and Deep LearningSujit Pal
 
Deep Learning
Deep LearningDeep Learning
Deep LearningJun Wang
 
Deep Learning - 인공지능 기계학습의 새로운 트랜드 :김인중
Deep Learning - 인공지능 기계학습의 새로운 트랜드 :김인중Deep Learning - 인공지능 기계학습의 새로운 트랜드 :김인중
Deep Learning - 인공지능 기계학습의 새로운 트랜드 :김인중datasciencekorea
 
Language translation with Deep Learning (RNN) with TensorFlow
Language translation with Deep Learning (RNN) with TensorFlowLanguage translation with Deep Learning (RNN) with TensorFlow
Language translation with Deep Learning (RNN) with TensorFlowS N
 
Deep Neural Networks for Multimodal Learning
Deep Neural Networks for Multimodal LearningDeep Neural Networks for Multimodal Learning
Deep Neural Networks for Multimodal LearningMarc Bolaños Solà
 
Transfer Learning: An overview
Transfer Learning: An overviewTransfer Learning: An overview
Transfer Learning: An overviewjins0618
 
#4 Convolutional Neural Networks for Natural Language Processing
#4 Convolutional Neural Networks for Natural Language Processing#4 Convolutional Neural Networks for Natural Language Processing
#4 Convolutional Neural Networks for Natural Language ProcessingBerlin Language Technology
 
Media4Math's Fall 2012 Catalog
Media4Math's Fall 2012 CatalogMedia4Math's Fall 2012 Catalog
Media4Math's Fall 2012 CatalogMedia4math
 
Design and implementation of a java based virtual laboratory for data communi...
Design and implementation of a java based virtual laboratory for data communi...Design and implementation of a java based virtual laboratory for data communi...
Design and implementation of a java based virtual laboratory for data communi...IJECEIAES
 
TensorFlow Tutorial Part1
TensorFlow Tutorial Part1TensorFlow Tutorial Part1
TensorFlow Tutorial Part1Sungjoon Choi
 
NeuralProcessingofGeneralPurposeApproximatePrograms
NeuralProcessingofGeneralPurposeApproximateProgramsNeuralProcessingofGeneralPurposeApproximatePrograms
NeuralProcessingofGeneralPurposeApproximateProgramsMohid Nabil
 
2011 06 01 (uned) emadrid aelsaddik uottawa tangible objects for e learning
2011 06 01 (uned) emadrid aelsaddik uottawa tangible objects for e learning2011 06 01 (uned) emadrid aelsaddik uottawa tangible objects for e learning
2011 06 01 (uned) emadrid aelsaddik uottawa tangible objects for e learningeMadrid network
 

What's hot (20)

Tutorial on convolutional neural networks
Tutorial on convolutional neural networksTutorial on convolutional neural networks
Tutorial on convolutional neural networks
 
Introduction to deep learning based voice activity detection
Introduction to deep learning based voice activity detectionIntroduction to deep learning based voice activity detection
Introduction to deep learning based voice activity detection
 
Game Assignments in computer Science
Game Assignments in computer ScienceGame Assignments in computer Science
Game Assignments in computer Science
 
Deep learning - a primer
Deep learning - a primerDeep learning - a primer
Deep learning - a primer
 
TypeScript and Deep Learning
TypeScript and Deep LearningTypeScript and Deep Learning
TypeScript and Deep Learning
 
Voice Activity Detection using Single Frequency Filtering
Voice Activity Detection using Single Frequency FilteringVoice Activity Detection using Single Frequency Filtering
Voice Activity Detection using Single Frequency Filtering
 
Piotr Mirowski - Review Autoencoders (Deep Learning) - CIUUK14
Piotr Mirowski - Review Autoencoders (Deep Learning) - CIUUK14Piotr Mirowski - Review Autoencoders (Deep Learning) - CIUUK14
Piotr Mirowski - Review Autoencoders (Deep Learning) - CIUUK14
 
Artificial Intelligence, Machine Learning and Deep Learning
Artificial Intelligence, Machine Learning and Deep LearningArtificial Intelligence, Machine Learning and Deep Learning
Artificial Intelligence, Machine Learning and Deep Learning
 
Deep Learning
Deep LearningDeep Learning
Deep Learning
 
Deep Learning - 인공지능 기계학습의 새로운 트랜드 :김인중
Deep Learning - 인공지능 기계학습의 새로운 트랜드 :김인중Deep Learning - 인공지능 기계학습의 새로운 트랜드 :김인중
Deep Learning - 인공지능 기계학습의 새로운 트랜드 :김인중
 
Language translation with Deep Learning (RNN) with TensorFlow
Language translation with Deep Learning (RNN) with TensorFlowLanguage translation with Deep Learning (RNN) with TensorFlow
Language translation with Deep Learning (RNN) with TensorFlow
 
Deep Neural Networks for Multimodal Learning
Deep Neural Networks for Multimodal LearningDeep Neural Networks for Multimodal Learning
Deep Neural Networks for Multimodal Learning
 
Transfer Learning: An overview
Transfer Learning: An overviewTransfer Learning: An overview
Transfer Learning: An overview
 
#4 Convolutional Neural Networks for Natural Language Processing
#4 Convolutional Neural Networks for Natural Language Processing#4 Convolutional Neural Networks for Natural Language Processing
#4 Convolutional Neural Networks for Natural Language Processing
 
Media4Math's Fall 2012 Catalog
Media4Math's Fall 2012 CatalogMedia4Math's Fall 2012 Catalog
Media4Math's Fall 2012 Catalog
 
ECML-2015 Presentation
ECML-2015 PresentationECML-2015 Presentation
ECML-2015 Presentation
 
Design and implementation of a java based virtual laboratory for data communi...
Design and implementation of a java based virtual laboratory for data communi...Design and implementation of a java based virtual laboratory for data communi...
Design and implementation of a java based virtual laboratory for data communi...
 
TensorFlow Tutorial Part1
TensorFlow Tutorial Part1TensorFlow Tutorial Part1
TensorFlow Tutorial Part1
 
NeuralProcessingofGeneralPurposeApproximatePrograms
NeuralProcessingofGeneralPurposeApproximateProgramsNeuralProcessingofGeneralPurposeApproximatePrograms
NeuralProcessingofGeneralPurposeApproximatePrograms
 
2011 06 01 (uned) emadrid aelsaddik uottawa tangible objects for e learning
2011 06 01 (uned) emadrid aelsaddik uottawa tangible objects for e learning2011 06 01 (uned) emadrid aelsaddik uottawa tangible objects for e learning
2011 06 01 (uned) emadrid aelsaddik uottawa tangible objects for e learning
 

Viewers also liked

ロボットを作って動かしてみよう
ロボットを作って動かしてみようロボットを作って動かしてみよう
ロボットを作って動かしてみようTakashi Yamanoue
 
A Technique to Assign an Appropriate Server to a Client, for a CDN Consists ...
A Technique to Assign an Appropriate Server to a Client, for a CDN Consists ...A Technique to Assign an Appropriate Server to a Client, for a CDN Consists ...
A Technique to Assign an Appropriate Server to a Client, for a CDN Consists ...Takashi Yamanoue
 
Dicomo 2013, デスクトップ画像共有システムのための、トーナメントアルゴリズムを使った負荷分散機構
Dicomo 2013, デスクトップ画像共有システムのための、トーナメントアルゴリズムを使った負荷分散機構Dicomo 2013, デスクトップ画像共有システムのための、トーナメントアルゴリズムを使った負荷分散機構
Dicomo 2013, デスクトップ画像共有システムのための、トーナメントアルゴリズムを使った負荷分散機構Takashi Yamanoue
 
TwitterとWikiを使った自動情報提示システム
TwitterとWikiを使った自動情報提示システムTwitterとWikiを使った自動情報提示システム
TwitterとWikiを使った自動情報提示システムTakashi Yamanoue
 
A Wearable LED Matrix Sign System@ACM SIGUCCS2015
A Wearable LED Matrix Sign System@ACM SIGUCCS2015A Wearable LED Matrix Sign System@ACM SIGUCCS2015
A Wearable LED Matrix Sign System@ACM SIGUCCS2015Takashi Yamanoue
 
Optimizing Data Partitioning at Broadcasting the Data
Optimizing Data Partitioning at Broadcasting the DataOptimizing Data Partitioning at Broadcasting the Data
Optimizing Data Partitioning at Broadcasting the DataTakashi Yamanoue
 
インターネット上のWikiページ上でエッジ側端末のI2Cデバイスの設定と入出力を可能とするIoTシステムの試作
インターネット上のWikiページ上でエッジ側端末のI2Cデバイスの設定と入出力を可能とするIoTシステムの試作インターネット上のWikiページ上でエッジ側端末のI2Cデバイスの設定と入出力を可能とするIoTシステムの試作
インターネット上のWikiページ上でエッジ側端末のI2Cデバイスの設定と入出力を可能とするIoTシステムの試作Takashi Yamanoue
 
HTML5 技術を利用した授業や会議向けデスクトップ画面実時間配信システムとその管理システムの試作, 情報処理学会IOT研究会26
HTML5 技術を利用した授業や会議向けデスクトップ画面実時間配信システムとその管理システムの試作, 情報処理学会IOT研究会26HTML5 技術を利用した授業や会議向けデスクトップ画面実時間配信システムとその管理システムの試作, 情報処理学会IOT研究会26
HTML5 技術を利用した授業や会議向けデスクトップ画面実時間配信システムとその管理システムの試作, 情報処理学会IOT研究会26Takashi Yamanoue
 
Portable Cloud Computing System – A System which Makes Everywhere an ICT Enh...
Portable Cloud Computing System – A System which Makes Everywhere an ICT Enh...Portable Cloud Computing System – A System which Makes Everywhere an ICT Enh...
Portable Cloud Computing System – A System which Makes Everywhere an ICT Enh...Takashi Yamanoue
 
Monitoring Servers, With a Little Help from my Bots
Monitoring Servers, With a Little Help from my BotsMonitoring Servers, With a Little Help from my Bots
Monitoring Servers, With a Little Help from my BotsTakashi Yamanoue
 
BotとWikiを使った試験的な並列プログラミング
BotとWikiを使った試験的な並列プログラミングBotとWikiを使った試験的な並列プログラミング
BotとWikiを使った試験的な並列プログラミングTakashi Yamanoue
 
An Inter-Wiki Page Data Processor for a M2M System @Matsue, 1sep., Eskm2013
An Inter-Wiki Page Data Processor for a M2M System  @Matsue, 1sep., Eskm2013An Inter-Wiki Page Data Processor for a M2M System  @Matsue, 1sep., Eskm2013
An Inter-Wiki Page Data Processor for a M2M System @Matsue, 1sep., Eskm2013Takashi Yamanoue
 
Xilinx ISE で Digilent Atlys ボードの回路を作成する手順
Xilinx ISE で Digilent Atlys ボードの回路を作成する手順Xilinx ISE で Digilent Atlys ボードの回路を作成する手順
Xilinx ISE で Digilent Atlys ボードの回路を作成する手順Takashi Yamanoue
 

Viewers also liked (15)

ロボットを作って動かしてみよう
ロボットを作って動かしてみようロボットを作って動かしてみよう
ロボットを作って動かしてみよう
 
A Technique to Assign an Appropriate Server to a Client, for a CDN Consists ...
A Technique to Assign an Appropriate Server to a Client, for a CDN Consists ...A Technique to Assign an Appropriate Server to a Client, for a CDN Consists ...
A Technique to Assign an Appropriate Server to a Client, for a CDN Consists ...
 
Dicomo 2013, デスクトップ画像共有システムのための、トーナメントアルゴリズムを使った負荷分散機構
Dicomo 2013, デスクトップ画像共有システムのための、トーナメントアルゴリズムを使った負荷分散機構Dicomo 2013, デスクトップ画像共有システムのための、トーナメントアルゴリズムを使った負荷分散機構
Dicomo 2013, デスクトップ画像共有システムのための、トーナメントアルゴリズムを使った負荷分散機構
 
TwitterとWikiを使った自動情報提示システム
TwitterとWikiを使った自動情報提示システムTwitterとWikiを使った自動情報提示システム
TwitterとWikiを使った自動情報提示システム
 
A Wearable LED Matrix Sign System@ACM SIGUCCS2015
A Wearable LED Matrix Sign System@ACM SIGUCCS2015A Wearable LED Matrix Sign System@ACM SIGUCCS2015
A Wearable LED Matrix Sign System@ACM SIGUCCS2015
 
Optimizing Data Partitioning at Broadcasting the Data
Optimizing Data Partitioning at Broadcasting the DataOptimizing Data Partitioning at Broadcasting the Data
Optimizing Data Partitioning at Broadcasting the Data
 
インターネット上のWikiページ上でエッジ側端末のI2Cデバイスの設定と入出力を可能とするIoTシステムの試作
インターネット上のWikiページ上でエッジ側端末のI2Cデバイスの設定と入出力を可能とするIoTシステムの試作インターネット上のWikiページ上でエッジ側端末のI2Cデバイスの設定と入出力を可能とするIoTシステムの試作
インターネット上のWikiページ上でエッジ側端末のI2Cデバイスの設定と入出力を可能とするIoTシステムの試作
 
HTML5 技術を利用した授業や会議向けデスクトップ画面実時間配信システムとその管理システムの試作, 情報処理学会IOT研究会26
HTML5 技術を利用した授業や会議向けデスクトップ画面実時間配信システムとその管理システムの試作, 情報処理学会IOT研究会26HTML5 技術を利用した授業や会議向けデスクトップ画面実時間配信システムとその管理システムの試作, 情報処理学会IOT研究会26
HTML5 技術を利用した授業や会議向けデスクトップ画面実時間配信システムとその管理システムの試作, 情報処理学会IOT研究会26
 
20150305
2015030520150305
20150305
 
Portable Cloud Computing System – A System which Makes Everywhere an ICT Enh...
Portable Cloud Computing System – A System which Makes Everywhere an ICT Enh...Portable Cloud Computing System – A System which Makes Everywhere an ICT Enh...
Portable Cloud Computing System – A System which Makes Everywhere an ICT Enh...
 
Monitoring Servers, With a Little Help from my Bots
Monitoring Servers, With a Little Help from my BotsMonitoring Servers, With a Little Help from my Bots
Monitoring Servers, With a Little Help from my Bots
 
Ise simulation-wave-add
Ise simulation-wave-addIse simulation-wave-add
Ise simulation-wave-add
 
BotとWikiを使った試験的な並列プログラミング
BotとWikiを使った試験的な並列プログラミングBotとWikiを使った試験的な並列プログラミング
BotとWikiを使った試験的な並列プログラミング
 
An Inter-Wiki Page Data Processor for a M2M System @Matsue, 1sep., Eskm2013
An Inter-Wiki Page Data Processor for a M2M System  @Matsue, 1sep., Eskm2013An Inter-Wiki Page Data Processor for a M2M System  @Matsue, 1sep., Eskm2013
An Inter-Wiki Page Data Processor for a M2M System @Matsue, 1sep., Eskm2013
 
Xilinx ISE で Digilent Atlys ボードの回路を作成する手順
Xilinx ISE で Digilent Atlys ボードの回路を作成する手順Xilinx ISE で Digilent Atlys ボードの回路を作成する手順
Xilinx ISE で Digilent Atlys ボードの回路を作成する手順
 

Similar to Siguccs20101026

A Casual Teaching Tool for Large Size Computer Laboratories ans Small Size Se...
A Casual Teaching Tool for Large Size Computer Laboratories ans Small Size Se...A Casual Teaching Tool for Large Size Computer Laboratories ans Small Size Se...
A Casual Teaching Tool for Large Size Computer Laboratories ans Small Size Se...Takashi Yamanoue
 
MEME – An Integrated Tool For Advanced Computational Experiments
MEME – An Integrated Tool For Advanced Computational ExperimentsMEME – An Integrated Tool For Advanced Computational Experiments
MEME – An Integrated Tool For Advanced Computational ExperimentsGIScRG
 
Introduction to OpenSees by Frank McKenna
Introduction to OpenSees by Frank McKennaIntroduction to OpenSees by Frank McKenna
Introduction to OpenSees by Frank McKennaopenseesdays
 
Applying static code analysis for domain-specific languages
Applying static code analysis for domain-specific languagesApplying static code analysis for domain-specific languages
Applying static code analysis for domain-specific languagesIván Ruiz-Rube
 
IRJET- Factoid Question and Answering System
IRJET-  	  Factoid Question and Answering SystemIRJET-  	  Factoid Question and Answering System
IRJET- Factoid Question and Answering SystemIRJET Journal
 
Expert System Lecture Notes Chapter 1,2,3,4,5 - Dr.J.VijiPriya
 Expert System Lecture Notes Chapter 1,2,3,4,5 - Dr.J.VijiPriya Expert System Lecture Notes Chapter 1,2,3,4,5 - Dr.J.VijiPriya
Expert System Lecture Notes Chapter 1,2,3,4,5 - Dr.J.VijiPriyaVijiPriya Jeyamani
 
Software Systems as Cities: a Controlled Experiment
Software Systems as Cities: a Controlled ExperimentSoftware Systems as Cities: a Controlled Experiment
Software Systems as Cities: a Controlled ExperimentRichard Wettel
 
IRJET- American Sign Language Classification
IRJET- American Sign Language ClassificationIRJET- American Sign Language Classification
IRJET- American Sign Language ClassificationIRJET Journal
 
A scalable collaborative filtering framework based on co clustering
A scalable collaborative filtering framework based on co clusteringA scalable collaborative filtering framework based on co clustering
A scalable collaborative filtering framework based on co clusteringAllenWu
 
Human age and gender Detection
Human age and gender DetectionHuman age and gender Detection
Human age and gender DetectionAbhiAchalla
 
Software effort estimation through clustering techniques of RBFN network
Software effort estimation through clustering techniques of RBFN networkSoftware effort estimation through clustering techniques of RBFN network
Software effort estimation through clustering techniques of RBFN networkIOSR Journals
 
2013 Lecture 5: AR Tools and Interaction
2013 Lecture 5: AR Tools and Interaction 2013 Lecture 5: AR Tools and Interaction
2013 Lecture 5: AR Tools and Interaction Mark Billinghurst
 
Real Time Sign Language Detection
Real Time Sign Language DetectionReal Time Sign Language Detection
Real Time Sign Language DetectionIRJET Journal
 
A project on advanced C language
A project on advanced C languageA project on advanced C language
A project on advanced C languagesvrohith 9
 
Sign Detection from Hearing Impaired
Sign Detection from Hearing ImpairedSign Detection from Hearing Impaired
Sign Detection from Hearing ImpairedIRJET Journal
 
The Planets Testbed
The Planets TestbedThe Planets Testbed
The Planets TestbedMax Kaiser
 
FACE COUNTING USING OPEN CV & PYTHON FOR ANALYZING UNUSUAL EVENTS IN CROWDS
FACE COUNTING USING OPEN CV & PYTHON FOR ANALYZING UNUSUAL EVENTS IN CROWDSFACE COUNTING USING OPEN CV & PYTHON FOR ANALYZING UNUSUAL EVENTS IN CROWDS
FACE COUNTING USING OPEN CV & PYTHON FOR ANALYZING UNUSUAL EVENTS IN CROWDSIRJET Journal
 
Presentation1.2.pptx
Presentation1.2.pptxPresentation1.2.pptx
Presentation1.2.pptxpranaykusuma
 

Similar to Siguccs20101026 (20)

A Casual Teaching Tool for Large Size Computer Laboratories ans Small Size Se...
A Casual Teaching Tool for Large Size Computer Laboratories ans Small Size Se...A Casual Teaching Tool for Large Size Computer Laboratories ans Small Size Se...
A Casual Teaching Tool for Large Size Computer Laboratories ans Small Size Se...
 
MEME – An Integrated Tool For Advanced Computational Experiments
MEME – An Integrated Tool For Advanced Computational ExperimentsMEME – An Integrated Tool For Advanced Computational Experiments
MEME – An Integrated Tool For Advanced Computational Experiments
 
A04230105
A04230105A04230105
A04230105
 
Introduction to OpenSees by Frank McKenna
Introduction to OpenSees by Frank McKennaIntroduction to OpenSees by Frank McKenna
Introduction to OpenSees by Frank McKenna
 
Applying static code analysis for domain-specific languages
Applying static code analysis for domain-specific languagesApplying static code analysis for domain-specific languages
Applying static code analysis for domain-specific languages
 
IRJET- Factoid Question and Answering System
IRJET-  	  Factoid Question and Answering SystemIRJET-  	  Factoid Question and Answering System
IRJET- Factoid Question and Answering System
 
Expert System Lecture Notes Chapter 1,2,3,4,5 - Dr.J.VijiPriya
 Expert System Lecture Notes Chapter 1,2,3,4,5 - Dr.J.VijiPriya Expert System Lecture Notes Chapter 1,2,3,4,5 - Dr.J.VijiPriya
Expert System Lecture Notes Chapter 1,2,3,4,5 - Dr.J.VijiPriya
 
Software Systems as Cities: a Controlled Experiment
Software Systems as Cities: a Controlled ExperimentSoftware Systems as Cities: a Controlled Experiment
Software Systems as Cities: a Controlled Experiment
 
IRJET- American Sign Language Classification
IRJET- American Sign Language ClassificationIRJET- American Sign Language Classification
IRJET- American Sign Language Classification
 
A scalable collaborative filtering framework based on co clustering
A scalable collaborative filtering framework based on co clusteringA scalable collaborative filtering framework based on co clustering
A scalable collaborative filtering framework based on co clustering
 
Human age and gender Detection
Human age and gender DetectionHuman age and gender Detection
Human age and gender Detection
 
Software effort estimation through clustering techniques of RBFN network
Software effort estimation through clustering techniques of RBFN networkSoftware effort estimation through clustering techniques of RBFN network
Software effort estimation through clustering techniques of RBFN network
 
2013 Lecture 5: AR Tools and Interaction
2013 Lecture 5: AR Tools and Interaction 2013 Lecture 5: AR Tools and Interaction
2013 Lecture 5: AR Tools and Interaction
 
nnml.ppt
nnml.pptnnml.ppt
nnml.ppt
 
Real Time Sign Language Detection
Real Time Sign Language DetectionReal Time Sign Language Detection
Real Time Sign Language Detection
 
A project on advanced C language
A project on advanced C languageA project on advanced C language
A project on advanced C language
 
Sign Detection from Hearing Impaired
Sign Detection from Hearing ImpairedSign Detection from Hearing Impaired
Sign Detection from Hearing Impaired
 
The Planets Testbed
The Planets TestbedThe Planets Testbed
The Planets Testbed
 
FACE COUNTING USING OPEN CV & PYTHON FOR ANALYZING UNUSUAL EVENTS IN CROWDS
FACE COUNTING USING OPEN CV & PYTHON FOR ANALYZING UNUSUAL EVENTS IN CROWDSFACE COUNTING USING OPEN CV & PYTHON FOR ANALYZING UNUSUAL EVENTS IN CROWDS
FACE COUNTING USING OPEN CV & PYTHON FOR ANALYZING UNUSUAL EVENTS IN CROWDS
 
Presentation1.2.pptx
Presentation1.2.pptxPresentation1.2.pptx
Presentation1.2.pptx
 

More from Takashi Yamanoue

人が乗れる自動運転電気自動車作成中その4, -version up その1-
人が乗れる自動運転電気自動車作成中その4, -version up その1-人が乗れる自動運転電気自動車作成中その4, -version up その1-
人が乗れる自動運転電気自動車作成中その4, -version up その1-Takashi Yamanoue
 
シン3次元表示装置 ーその1ー
シン3次元表示装置 ーその1ーシン3次元表示装置 ーその1ー
シン3次元表示装置 ーその1ーTakashi Yamanoue
 
Wiki IoT/Bot Computingを使った顔ロボット群の制御
Wiki IoT/Bot Computingを使った顔ロボット群の制御Wiki IoT/Bot Computingを使った顔ロボット群の制御
Wiki IoT/Bot Computingを使った顔ロボット群の制御Takashi Yamanoue
 
IoTLT-Vol93-Wiki-IoT-20221117.pptx
IoTLT-Vol93-Wiki-IoT-20221117.pptxIoTLT-Vol93-Wiki-IoT-20221117.pptx
IoTLT-Vol93-Wiki-IoT-20221117.pptxTakashi Yamanoue
 
IoTLT-Vol92-Wiki-IoT-20221009-1.pptx
IoTLT-Vol92-Wiki-IoT-20221009-1.pptxIoTLT-Vol92-Wiki-IoT-20221009-1.pptx
IoTLT-Vol92-Wiki-IoT-20221009-1.pptxTakashi Yamanoue
 
人が乗れる 自動運転電気自動車作成中その3 -自動運転成功!-
人が乗れる自動運転電気自動車作成中その3 -自動運転成功!-人が乗れる自動運転電気自動車作成中その3 -自動運転成功!-
人が乗れる 自動運転電気自動車作成中その3 -自動運転成功!-Takashi Yamanoue
 
人が乗れる 自動運転 電気自動車 作成中!
人が乗れる 自動運転 電気自動車 作成中!人が乗れる 自動運転 電気自動車 作成中!
人が乗れる 自動運転 電気自動車 作成中!Takashi Yamanoue
 
着る電光掲示板の新機能  -場所に応じた情報の自動表示-
着る電光掲示板の新機能  -場所に応じた情報の自動表示-着る電光掲示板の新機能  -場所に応じた情報の自動表示-
着る電光掲示板の新機能  -場所に応じた情報の自動表示-Takashi Yamanoue
 
Real->Virtual変換システムの開発その1の2
Real->Virtual変換システムの開発その1の2Real->Virtual変換システムの開発その1の2
Real->Virtual変換システムの開発その1の2Takashi Yamanoue
 
Real->Virtual 変換システムの開発その1の1
Real->Virtual 変換システムの開発その1の1Real->Virtual 変換システムの開発その1の1
Real->Virtual 変換システムの開発その1の1Takashi Yamanoue
 
スマートフォンで操作する双方向型大型デジタルサイネージシステムの試作
スマートフォンで操作する双方向型大型デジタルサイネージシステムの試作スマートフォンで操作する双方向型大型デジタルサイネージシステムの試作
スマートフォンで操作する双方向型大型デジタルサイネージシステムの試作Takashi Yamanoue
 
SeeThroughChameleonDress-on-the-way-ex1
SeeThroughChameleonDress-on-the-way-ex1SeeThroughChameleonDress-on-the-way-ex1
SeeThroughChameleonDress-on-the-way-ex1Takashi Yamanoue
 
PukiWiki と Raspberry Pi と Arduino を連携させてIoT システムを作ってみた話
PukiWiki と Raspberry Pi と Arduino を連携させてIoT システムを作ってみた話PukiWiki と Raspberry Pi と Arduino を連携させてIoT システムを作ってみた話
PukiWiki と Raspberry Pi と Arduino を連携させてIoT システムを作ってみた話Takashi Yamanoue
 
Zoomはぶっ飛ばせないけど... - Portable Cloud の紹介
Zoomはぶっ飛ばせないけど... - Portable Cloud の紹介Zoomはぶっ飛ばせないけど... - Portable Cloud の紹介
Zoomはぶっ飛ばせないけど... - Portable Cloud の紹介Takashi Yamanoue
 
簡便な大型幅広デジタルサイネージシステムとその自動運用システム
簡便な大型幅広デジタルサイネージシステムとその自動運用システム簡便な大型幅広デジタルサイネージシステムとその自動運用システム
簡便な大型幅広デジタルサイネージシステムとその自動運用システムTakashi Yamanoue
 
Wiki と Raspberry Pi と Arduino を組み合わせて作成した電気製品の自動運転・遠隔操作システム
Wiki と Raspberry Pi と Arduino を組み合わせて作成した電気製品の自動運転・遠隔操作システムWiki と Raspberry Pi と Arduino を組み合わせて作成した電気製品の自動運転・遠隔操作システム
Wiki と Raspberry Pi と Arduino を組み合わせて作成した電気製品の自動運転・遠隔操作システムTakashi Yamanoue
 
Bot Computing using the Power of Wiki Collaboration
Bot Computing using the Power of Wiki CollaborationBot Computing using the Power of Wiki Collaboration
Bot Computing using the Power of Wiki CollaborationTakashi Yamanoue
 
悪性Botnet包囲網のBotによるWannaCryのようなマルウェアの活動検知の試み
悪性Botnet包囲網のBotによるWannaCryのようなマルウェアの活動検知の試み悪性Botnet包囲網のBotによるWannaCryのようなマルウェアの活動検知の試み
悪性Botnet包囲網のBotによるWannaCryのようなマルウェアの活動検知の試みTakashi Yamanoue
 

More from Takashi Yamanoue (20)

人が乗れる自動運転電気自動車作成中その4, -version up その1-
人が乗れる自動運転電気自動車作成中その4, -version up その1-人が乗れる自動運転電気自動車作成中その4, -version up その1-
人が乗れる自動運転電気自動車作成中その4, -version up その1-
 
シン3次元表示装置 ーその1ー
シン3次元表示装置 ーその1ーシン3次元表示装置 ーその1ー
シン3次元表示装置 ーその1ー
 
Wiki IoT/Bot Computingを使った顔ロボット群の制御
Wiki IoT/Bot Computingを使った顔ロボット群の制御Wiki IoT/Bot Computingを使った顔ロボット群の制御
Wiki IoT/Bot Computingを使った顔ロボット群の制御
 
IoTLT-Vol93-Wiki-IoT-20221117.pptx
IoTLT-Vol93-Wiki-IoT-20221117.pptxIoTLT-Vol93-Wiki-IoT-20221117.pptx
IoTLT-Vol93-Wiki-IoT-20221117.pptx
 
IoTLT-Vol92-Wiki-IoT-20221009-1.pptx
IoTLT-Vol92-Wiki-IoT-20221009-1.pptxIoTLT-Vol92-Wiki-IoT-20221009-1.pptx
IoTLT-Vol92-Wiki-IoT-20221009-1.pptx
 
人が乗れる 自動運転電気自動車作成中その3 -自動運転成功!-
人が乗れる自動運転電気自動車作成中その3 -自動運転成功!-人が乗れる自動運転電気自動車作成中その3 -自動運転成功!-
人が乗れる 自動運転電気自動車作成中その3 -自動運転成功!-
 
人が乗れる 自動運転 電気自動車 作成中!
人が乗れる 自動運転 電気自動車 作成中!人が乗れる 自動運転 電気自動車 作成中!
人が乗れる 自動運転 電気自動車 作成中!
 
着る電光掲示板の新機能  -場所に応じた情報の自動表示-
着る電光掲示板の新機能  -場所に応じた情報の自動表示-着る電光掲示板の新機能  -場所に応じた情報の自動表示-
着る電光掲示板の新機能  -場所に応じた情報の自動表示-
 
Real->Virtual変換システムの開発その1の2
Real->Virtual変換システムの開発その1の2Real->Virtual変換システムの開発その1の2
Real->Virtual変換システムの開発その1の2
 
Real->Virtual 変換システムの開発その1の1
Real->Virtual 変換システムの開発その1の1Real->Virtual 変換システムの開発その1の1
Real->Virtual 変換システムの開発その1の1
 
スマートフォンで操作する双方向型大型デジタルサイネージシステムの試作
スマートフォンで操作する双方向型大型デジタルサイネージシステムの試作スマートフォンで操作する双方向型大型デジタルサイネージシステムの試作
スマートフォンで操作する双方向型大型デジタルサイネージシステムの試作
 
Teleport dressor 20200524
Teleport dressor 20200524Teleport dressor 20200524
Teleport dressor 20200524
 
SeeThroughChameleonDress-on-the-way-ex1
SeeThroughChameleonDress-on-the-way-ex1SeeThroughChameleonDress-on-the-way-ex1
SeeThroughChameleonDress-on-the-way-ex1
 
PukiWiki と Raspberry Pi と Arduino を連携させてIoT システムを作ってみた話
PukiWiki と Raspberry Pi と Arduino を連携させてIoT システムを作ってみた話PukiWiki と Raspberry Pi と Arduino を連携させてIoT システムを作ってみた話
PukiWiki と Raspberry Pi と Arduino を連携させてIoT システムを作ってみた話
 
Zoomはぶっ飛ばせないけど... - Portable Cloud の紹介
Zoomはぶっ飛ばせないけど... - Portable Cloud の紹介Zoomはぶっ飛ばせないけど... - Portable Cloud の紹介
Zoomはぶっ飛ばせないけど... - Portable Cloud の紹介
 
trouble-with-mboed-os
trouble-with-mboed-ostrouble-with-mboed-os
trouble-with-mboed-os
 
簡便な大型幅広デジタルサイネージシステムとその自動運用システム
簡便な大型幅広デジタルサイネージシステムとその自動運用システム簡便な大型幅広デジタルサイネージシステムとその自動運用システム
簡便な大型幅広デジタルサイネージシステムとその自動運用システム
 
Wiki と Raspberry Pi と Arduino を組み合わせて作成した電気製品の自動運転・遠隔操作システム
Wiki と Raspberry Pi と Arduino を組み合わせて作成した電気製品の自動運転・遠隔操作システムWiki と Raspberry Pi と Arduino を組み合わせて作成した電気製品の自動運転・遠隔操作システム
Wiki と Raspberry Pi と Arduino を組み合わせて作成した電気製品の自動運転・遠隔操作システム
 
Bot Computing using the Power of Wiki Collaboration
Bot Computing using the Power of Wiki CollaborationBot Computing using the Power of Wiki Collaboration
Bot Computing using the Power of Wiki Collaboration
 
悪性Botnet包囲網のBotによるWannaCryのようなマルウェアの活動検知の試み
悪性Botnet包囲網のBotによるWannaCryのようなマルウェアの活動検知の試み悪性Botnet包囲網のBotによるWannaCryのようなマルウェアの活動検知の試み
悪性Botnet包囲網のBotによるWannaCryのようなマルウェアの活動検知の試み
 

Siguccs20101026

  • 1. Comparing a Video Projector and an Inter-PC Screen Broadcasting System in a Computer Laboratory Takashi Yamanoue, Koichi Shimozono, Kentaro Oda Kagoshima University
  • 2. Contents 1. INTRODUCTION 2. OUTLINE OF THE USABILITY TESTING 3. OUTLINE OF SOLAR-CATS 4. THE EXPERIMENT AND ITS RESULT 5. EXPERIENCES 6. RELATED WORKS 7. CONCLUDING REMARKS
  • 3. 1. INTRODUCTION  Presentation tools in a Computer Lab. Video projectors Inter-PC screen broadcasting systems …  When designing the Lab, What kind of ? How many  We would like to have some benchmarks of presentation tools.
  • 4.  Experimental benchmark  A Usability testing procedure  Compared cognitive effects on users A video projector  An inter-PC screen broadcasting system  Quantitative results  of presentation tools' cognitive effects on users' cognition ability.
  • 5. The usability testing  Repeat A sample text -> Subjects, using a target tool  Subjects type  Record Typing speed and its accuracy
  • 6. SOLAR-CATS  A computer assisted teaching tool  The text editor  User activity recorder
  • 7. The result  The projector was better  if there was small amount of data on one screen  The screen broadcasting system was better  if there was a large amount of data on one screen.
  • 8. 2. OUTLINE OF THE USABILITY TESTING  A way of measuring effects of target presentation tools  collect the results of tests on cognition of subjects (who are supposed to be the audience or students) after the same materials were shown  (to the subjects) inthe same environments using such different target tools.
  • 9. It is not a fair comparison  to show the same materials  to the same subject using a target tool  after showing the same material to the same subject using another target tool  because the subject can remember the material previously shown.
  • 10.  A solution  The sample text 1 of difficulty 1 -> Subjects(1,2,…n)  usingthe target tool 1  Subjects type  Record Typing speed and its accuracy  The sample text 2 of difficulty 1 -> Subjects(1,2,…n)  usingthe target tool 2  Subjects type  Record Typing speed and its accuracy  …
  • 11.  …  The sample text k of difficulty l -> Subjects(1,2,…n)  usingthe target tool j  Subjects type  Record Typing speed and its accuracy  The sample text k+1 of difficulty l -> Subjects(1,2,…n)  usingthe target tool j+1  Subjects type  Record Typing speed and its accuracy  …
  • 12. Typing speed and its accuracy  Effect  on the subject Mi  showing the k th sample text Lj,k,l of difficulty l  Using the target tool j  E(Mi,Lj,k,l) or  Result Ri,j,k,l (=E(Mi,Lj,k,l))
  • 13. for(l=1; l<s; l++){  for(k=1; k<r; k++){  for(j=1; j<m; j++){  Show the material Lj,k,l using the tool Tj to the set of subjects A={M1, …, Mn};  All of subjects test for cognition of Lj,k,l;  Collect Ri,j,k,l (=E(Mi,Lj,k,l)); }  Rest-1, a term of rest;  }  Rest-2, a term of rest;  }
  • 14. Information conductivity  To the i th subject  From the j th target tool  Of the k th sample text of difficulty l  How fast and how precise the i-th subject typed the Lj,k,l when j-th tool is used.  Ri,j,k,l
  • 15. Multiplication of  Average speed of typing of the sample text  Precision (1- Error rate)  Ri,j,k,l=Avi,j,k,l(1-Aerri,j,k,l) Letters/second
  • 16.  R*,j,*,l  Theaverage values of Ri,j,k,l in the experiment Where j-th target tool is used and The materials were l-th difficulty.
  • 17. 3. OUTLINE OF SOLAR-CATS  A WYSIWIS (What You See Is What I See)  Enables sharing real-time operation of  Applications  text editor  draw  a simple programming environment  web browser  writer’s assistant , …  All equipped with SOLAR-CATS.
  • 18. Consists of  node systems (nodes)  a group manager.  Each node system  Applications  A main controller  A command transceiver  An event recorder/player
  • 19. Group Manager Teacher’s node system TCP TCP Student’s node Student’s node system system TCP TCP TCP TCP Student’s node Student’s node Student’s node Student’s node system system system system
  • 20. Writer’s Assistant Web Browser Programming Environment Text Editor Draw Applications Main Controller Command Event Recorder/ Transceiver Player Network
  • 21.
  • 22.
  • 23. 4. THE EXPERIMENT AND ITS RESULT  Image broadcasting function of SOLAR-CATS VS.  The video projector  hung from the ceiling of the laboratory.  Brightness of the projector : 5000 lm  Size of the screen: width 2m45cm, height 1m84cm  Distance from the screen to the projector: 5m
  • 24.  Distance from the screen to the subject at the most far side: 5m 50cm  Position of the projector from the subjects: Left side or right side from the subjects.  Distance from the floor to the lowest side of the screen: 92cm  Ceiling lights for the screen were turned off.  All other ceiling lights were turned on.
  • 25. Sample texts  Power point slides of Japanese sentences  The difficulty of materials was the number of letters on one slide. 2 kinds of difficulties (s=2)  30 letters total, 3 lines and 10 letters in one line. The size of a letter was 72 point.  120 letters total, 6 lines and 20 letters in one line. The size of a letter was 36 point.  6 sets of the above slides (sr=6)
  • 26. Examples of sample texts
  • 27.
  • 28.
  • 29. Target tools
  • 30.
  • 31.
  • 32. Recording data
  • 33.
  • 34.  82247:o-drawing fc(0).mm(180,430)  82434:o-drawing fc(0).mxit(173,428) …  99219:m-tedit txtedit.txt.kty(0,0,26085)  99219:m-tedit txtedit.txt.kty(0,1,26412)
  • 36. j=Video Projector j=SOLAR-CATS l=1, R*,j,*,l=1.36 R*,j,*,l=1.17 30 letters (std. 0.58) (std. 0.39) l=2, R*,j,*,l=1.04 R*,j,*,l=1.17 120 letters (std. 0.38) (std. 0.32)
  • 37. Conductivity of projector is better  if the number of letters was smaller  Conductivity of SOLAR-CATS is better  if the number of letters was larger.  Standard distributions of the projector were larger than that of SOLAR-CATS.  It might say that the conductivity of the projector is affected by the subject’s position.
  • 38. 5. RELATED WORK  Quantitative evaluation of a GUI  has been studying as a research of usability for many years.  Survey and usability testing are used for this evaluation[5].  Our experiment can be considered as one of usability testing.
  • 39. Full-dress usability testing  A usability laboratory, monitors and usability engineers  Much money and time
  • 40. Nielsen, J.  Easy ways of usability testing  Five subjects are enough.  If qualities of subjects is not so distributed  Our experiment  has no problem for the number of subjects  in this sense.  Automate some of observation of test and marking the test using tools such like SOLAR- CATS.
  • 41. KLM (Keystroke-Level Model)  Can be used by individuals or companies seeking ways to estimate the time it takes to complete simple data input tasks using a computer and mouse[2].  Our experiment uses a kind of KLM.  SOLAR-CATS was used to obtain some values of KLM.
  • 42. Aoki and others  A system which records and replay operations of a Web client.  KLM using the system with an editor on a Web page  Does not have the function which broadcast images and operations to many clients in a short time.  On the other hand, SOLAR-CATS has the function.
  • 43. Nishida and others  Collected keystroke interval data of daily usage at computer laboratories of a university[6].  The data of computer laboratories was better than the data of the controlled experiment.  Our experiment was a controlled experiment this time. It is not so difficult to collect the data of daily usage using SOLAR-CATS.
  • 44. Tamura  An optimum letter size and an optimum space between lines of texts  which are displayed on an electronic chalk board for distance learning environment[7].  He has used a survey to obtain the results while we have used usability testing. In other words, his test is a subjective test and our test is an objective test.
  • 45. Kiyohara and others  Understandability of printed materials are better than that of materials on an LCD or a CRT.  Similar to our procedure.  Used test sheets which ask yes or no answer about contents of materials to subjects.  It requires much money or time in order to prepare the test sheets.  Our experiment does not require test sheets.
  • 46. 6. CONCLUDING REMARKS  A usability testing of presentation tools for computer laboratories  Compared a video projector and inter-PC broadcasting system  SOLAR-CATS is used  as the inter-PC broadcasting system  It is also used for recording the experiment.
  • 47.  The results were in our common knowledge. Not new…  However, we could have Quantitative results.  Would like to have more precise results.
  • 48. 7. Acknowledgement  We thank our students who are subjects of the experiment and help us to develop and test SOLAR-CATS.  A part of this work was supported by Grant- in-Aid for Scientific Research of Japan Society for the Promotion of Science, Fundamental Research(C), 17500041.