A one player game where players are asked to tag funny video clips in a given time frame. They will score points throughout the game and be entered into.

Slides:



Advertisements
Similar presentations
Accessibility and WHO's web site Images courtesy of Flickr.
Advertisements

Learning at Our primary role has been to help schools, teachers and lifelong learners engage with NLS collections through online resources, workshops and.
©2011 1www.id-book.com Introducing Evaluation Chapter 12.
HT06, Position Paper, Tagging, Taxonomy, Flickr, Academic Article, ToRead, Presentation Cameron Marlow, Mor Naaman, danah boyd, Marc Davis Yahoo! Research.
Extracting Valuable Information Lazily Shiry Ginosar Advisor: Professor Manuel Blum Graduate Mentor: Luis von Ahn.
Vrasidas C.(2002) Systematic approach for designing hypermedia environments for teaching and learning International Journal of Instructional Media.
Project Proposal.
Lecture 26: Vision for the Internet CS6670: Computer Vision Noah Snavely.
Extracting Valuable Information Lazily Shiry Ginosar.
Enterprise social bookmarking - in a community of practice in IBM, Denmark by Joachim Florentz Boye and Marianne Lykke Nielsen Royal School of Library.
E-service quality: a model of virtual service quality dimensions
LITERATURE REVIEWS. What is a literature review?  “a synthesis of the literature on a topic.”  (Cottrell & McKenzie, 2011, pg 40)
Grand Valley State University November 5, 2014 EFFECTIVE, ENGAGING METHODS FOR WRITING IN SCIENCE.
By Kousar Taj A Seminar Paper on LITERATURE REVIEW.
1 Integrating Google Apps for Education to Business English Student Trainees’ On-the-Job Training English Reports Asst.Prof. Phunsuk Kannarik.
211 Multimedia Web Design Lesson 1 – Web Functionality & Purpose.
Web 2.0: Concepts and Applications 4 Organizing Information.
American Literature Kasi, Feroze Qaiser. Introduction to Thematic Unit Unit Theme : American/ English Literature Target Students : EFL College and adults.
Primary Grade Math and Technology Integration Jennifer Sinisi Website:
VIRTUAL REALITY APLICATIONS RESEARCH TEAM (VIRART) Using a Collaborative Virtual Environment (CVE) for participatory design sessions with students with.
By : Garima Indurkhya Jay Parikh Shraddha Herlekar Vikrant Naik.
Othello Artificial Intelligence With Machine Learning
Selecting a Topic and Purpose
OECD/INFE Tools for evaluating financial education programmes Adele Atkinson, PhD Policy Analyst OECD With the support of the Russian/World Bank/OECD Trust.
CHAPTER 15, READING AND WRITING SOCIAL RESEARCH. Chapter Outline  Reading Social Research  Using the Internet Wisely  Writing Social Research  The.
Universally Designed Syllabi Kirsten Behling, MA Suffolk University.
5 - 8 December 1999 Brisbane, Australia Ascilite99 1st Announcement and Call for Papers December 1999 Brisbane, Australia Ascilite99 1st Announcement.
Detecting Semantic Cloaking on the Web Baoning Wu and Brian D. Davison Lehigh University, USA WWW 2006.
Copyright ©: SAMSUNG & Samsung Hope for Youth. All rights reserved Tutorials The internet: Blogging Suitable for: Advanced.
MULTIMEDIA DEFINITION OF MULTIMEDIA
Chapter 10 Proposals: Formulating and Solving Problems.
The Brain Project – Building Research Background Part of JISC Virtual Research Environments (Phase 3) Programme Based at Coventry University with Leeds.
Marianne Lykke Nielsen September 2008 Plenum discussion: Emerging trends in tagging – and its relation to KOS Marianne Lykke Nielsen Information Interaction.
Center for Computational Analysis of Social and Organizational Systems Labeling images with a computer game By von Ahn & Dabbish.
EnTaG Enhanced (social) Tagging for Discovery Doug Tudhope Hypermedia Research Unit, University of Glamorgan Exeter.
Literacy and Technology Presented by Julia Cohn
1 Growing the Semantic Web with Inverse Semantic Search Hans-Jörg Happel, FZI Karlsruhe 1st Workshop on Incentives for the Semantic Web (INSEMTIVE 2008)
CS315 Search and Retrieval of Multimedia P. Takis Metaxas.
Student Evaluation: What Are the Perspectives of Medical Students on the Graduate Entry Program and Traditional Five Year Program and How Do They Influence.
Interpersonal Relationships in Group Interaction in CSCW Environments Yang Cao, Golha Sharifi, Yamini Upadrashta, Julita Vassileva University of Saskatchewan,
Harvesting Social Knowledge from Folksonomies Harris Wu, Mohammad Zubair, Kurt Maly, Harvesting social knowledge from folksonomies, Proceedings of the.
Types of websites and improving user experience UNIT 13 – WEBSITE DEVELOPMENT.
Chapter 3 Critically reviewing the literature
Results Table 1 Table 1 displays means and standard deviations of scores on the retention test. Higher scores indicate better recall of material from the.
Key Stage 1 SATs. ‘Old’ national curriculum levels (e.g. Level 3, 4, 5) have now been abolished, as set out in the government guidelines. From 2016, test.
PowerPoint Presentation as Research Outcome Max words / 12 min maximum. Use simple dot-points, appropriate graphs and images (do not crowd the PowerPoint.
Developing a Topic and Obtaining Background Information for a Science Exit Project 8th Grade Science – Session 2 of 8.
Key Stage 2 SATs Information and Guidance on the Changes and Expectations for 2015/16.
UNIVERSITAT DE BARCELONA Facultat de Biblioteconomia i Documentació Grau d’Informació i Documentació Research Methods Research reports Professor: Ángel.
STESEG taskforce on timeliness and benchmarkingJune The Short-term economic statistics: STES Timeliness Framework Richard McKenzie OECD.
Research Methods Technical Writing Thesis Conference/Journal Papers
Winston Way Primary School Preparing your children (and you!) for the end of Key Stage 2 tests.
The Starting Point Things to consider include Defining the overarching aim(s) of the event/activity Deciding the type of event you wish to undertake Defining.
Student Perceptions of Moodle Dr Mel Hudson Smith Graduate School of Management Plymouth University.
Othello Artificial Intelligence With Machine Learning Computer Systems TJHSST Nick Sidawy.
1 FollowMyLink Individual APT Presentation First Talk February 2006.
Screen Readers Cannot See (Ontology Based Semantic Annotation for Visually impaired Web users) Yeliz Yesilada, Simon Harper, Carole Goble and Robert Stevens.
Chapter 11 Data Input and Output. Input Data Capture Forms Data can be collected using a data capture form or questionnaire that is printed on a piece.
Abstract  An abstract is a concise summary of a larger project (a thesis, research report, performance, service project, etc.) that concisely describes.
The Prequel: Basics First, Research Later. Is This Your Experience?  A person gives you two pieces of paper, saying “Fill these out.” –You find out later.
2 |2 | Overview of the presentation What is disability? What is the global situation for persons with disabilities? What is accessibility? What is ICT.
On Stability, Clarity, and Co-occurrence of Self-Tagging Aixin Sun and Anwitaman Datta Nanyang Technological University Singapore.
In Text Citations in APA
Aims and Hypotheses Worksheet:
Lesson 5. Lesson 5 Extraneous variables Extraneous variable (EV) is a general term for any variable, other than the IV, that might affect the results.
A Proposal for the Sierra Vista School District
Social Role Evolution of an Ideological Online Community Brittany I
Privacy-Aware Tag Recommendation for Image Sharing
Collecting a Research Library
Presentation transcript:

A one player game where players are asked to tag funny video clips in a given time frame. They will score points throughout the game and be entered into a leaderboard. The game will involve pitfalls where points can be lost. The game will consist of five levels, each subsequent level being more difficult than the previous one. Can the tags entered be useful in creating descriptive text descriptions of internet video, in order to improve accessibility of video for visually impaired users? Pitfalls = basic level tags. By avoiding pitfalls it is hoped that more descriptive tags will be entered. Assess the quality of the tags based on their semantic level. Basic level being of lower quality than, subordinate level, descriptive tags. Example: A video of 2 cats chasing each other up a tree. Basic tags might be Cat, Tree, Chase. More descriptive tags could include the breed of cat, whether it is in a garden street or park, colour of the cats, the season, an indication of the weather, snow, sunny. Any other distinguishing objects in the video. Stacey Greenaway – University of Wolverhampton MSC Computer Science (Internet Technology) 1. Overview3. The Game 4. Objective 6. Evaluation 2. Background 5. Experiment 7. References VideoTag is a tagging experiment that aims to discover whether by making the tagging of video clips fun, users can be encouraged to tag more videos with a higher quantity of tags and with more descriptive tags. Aspects of the tagging process investigated include: How users tag Why users tag What types of tag users enter. BAR-ILAN, J., SHOHAM, S., IDAN, A., MILLER, Y. & SHACHAK, A. (2006) Structured vs. unstructured tagging ? A case study. Proc. of the Collaborative Web Tagging Workshop (WWW ’06), Edinburgh, Scotland. GOLDER, S. & HUBERMAN, B. (2005) The Structure of Collaborative Tagging Systems [Online]. Available from: [cited ] MARLOW, C., NAAMAN, M., BOYD, D. & DAVIS, M. (2006) HT06, tagging paper, taxonomy, Flickr, academic article, to read. HYPERTEXT '06: Proceedings of the seventeenth conference on Hypertext and hypermedia, pp VON AHN, L. & DABBISH, L. (2004) Labelling images with a computer game. CHI '04: Proceedings of the 2004 conference on Human factors in computing systems, pp A more extensive literature review has been undertaken, the key pieces of research from which the VideoTag experiment has been developed are identified below: Primarily inspired by the research of Van Ahn and Dabbish (2004). The ESP Game, labelling images to improve accessibility and image search. Tagging process: How and Why users tag, theories proposed by Marlow et al. (2006) and Bar-Ilan et al. (2006). Blind vs. Suggested vs. Guided Tagging. Types of tag and tag quality defined using guidelines presented in the research of Golder and Huberman (2005). Semantic difference and frequency. Aiming for 100 players. Not a controlled experiment - Random users. The game will be promoted on discussion forums, social sites, by ing friends and also on mashup sites By allowing users to participate in the experiment at their own time and in their own environment, the quality of the tags they enter are not going to be affected by pressure from being in a controlled environment. They can play the game as often or as little as they like, hopefully maximising the amount of data I can capture. By making the game as fun as possible, hopefully enough users will be enticed to play it more than once and also forward it onto friends, to maximise the amount of data available for the evaluations. Suggested vs. Blind – compare the amount of tags entered of each type and analyse their descriptiveness and semantic level. Tags will be plotted on a graph in order to plot their frequency. Will the structure of the game affect the power law common in most tagging systems? Reducing the frequency of basic level tags, therefore affecting the long tail effect. Players will be requested to fill in a questionnaire which will focus on their enjoyment of the game.