Rianne Nieland's final presentation
Upcoming SlideShare
Loading in...5
×

Like this? Share it with your network

Share

Rianne Nieland's final presentation

  • 335 views
Uploaded on

These slides are made by Rianne Nieland and were presented by her to finalize her Master project Information Sciences

These slides are made by Rianne Nieland and were presented by her to finalize her Master project Information Sciences

More in: Education
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
No Downloads

Views

Total Views
335
On Slideshare
170
From Embeds
165
Number of Embeds
3

Actions

Shares
Downloads
1
Comments
0
Likes
1

Embeds 165

https://videbo.wordpress.com 86
http://videbo.wordpress.com 78
https://www.linkedin.com 1

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide
  • NOT FOR DEVELOPING COUNTRIES
    Voice interface like when calling dokter
  • In this project we will make two voice interfaces one for normal web data, Wikipedia, and one for Linked Data, DBpedia.
  • Call flow = diagram of navigational structure of voice interface
  • DBpedia:
    Abstract  abstract property (= domain independent)
    Nutritional values  mg in property label of datatype gram
    Biological classification  object properties with English label
    Associated food, persons and organizations  domain Food, Person or Organisation

Transcript

  • 1. Talking to Linked Data: Comparing voice interfaces for general-purpose data Rianne Nieland Supervisor: Victor de Boer Vrije Universiteit Amsterdam
  • 2. Context & Problem Statement • Web = big information space o Contains useful information for people in developing countries • Like governmental and medical information, and information about plants and trees on Wikipedia • People in developing countries: o No internet access o Often low literate o Do have mobile phones • Solution: Voice-based access to Web data using GSM network • Research: Develop voice interfaces for general-purpose datasets
  • 3. Wikipedia vs DBpedia • Natural language text • And structured information, like infobox, images and links to other pages • Extracts structured information of Wikipedia • DBpedia ontology: classes and properties • Data interlinked with other data sources • Very lightweight way to share, re-use and integrate datasets
  • 4. Research Questions How can information from Wikipedia efficiently be made available using voice interfaces for GSM? 1. What are the requirements of a good voice interface for Wikipedia and DBpedia concepts? 2. What are good methods for converting Wikipedia and DBpedia concepts to voice interfaces? 3. How do users perform on the Wikipedia and DBpedia voice interface in terms of speed, error rate and usability?
  • 5. Approach Experiment Developing conversion algorithms (Process) Developing voice user interface (Output) Requirements elicitation Literature study
  • 6. Requirements elicitation • Input requirements o Dual-Tone Multi-Frequency input o Local phone line • Process requirements o Overview of page o Eliminate repetitions o Feedback o Error recovery • Output requirements o System’s voice: female + text to speech o Nonverbal sounds
  • 7. Voice user interface • Basic call flow structure: 1. Welcome message + page menu 2. Section menu 3. Subsection menu 4. Reads chosen (sub)section to user • Voice interfaces have same basic call flow structure • But different input sources
  • 8. Process of voice interfaces Input: Wikipedia /DBpedia ? Output: Call flow
  • 9. Process of voice interfaces Input: Wikipedia /DBpedia Proces: Conversion Output: Call flow
  • 10. Conversion steps • DOMXPATH queries • Section menu: o Elements with class mw- headline, except h3 and h4 • Subsection menu: o h3 elements • Read (sub)section o p en li elements • SPARQL queries • Section menu: o Abstract o Nutritional values o Biological classification o Associated food, persons and organizations • Subsection menu & Read (sub)section o SPARQL queries
  • 11. Experiment • 16 participants • Domain crops • Each participant tests both voice interfaces by answering questions with the voice interfaces • 2 question sets of each 3 questions • Divided participants into 4 groups: o First Wikipedia (W) with question set 1 and then DBpedia (D) with question set 2 (W1D2) o W2D1 o D1W2 o D2W1
  • 12. Experiment 1. Verbal explanation 2. General questionnaire (gender, age, purposes of mobile phone usage and usage of voice interfaces) 3. Test first voice interface by answering questions 4. Fill in IBM’s usability satisfaction questionnaire 5. Test second voice interface by answering questions 6. Fill in IBM’s usability satisfaction questionnaire
  • 13. Results: Speed • Wikipedia voice interface average time 2:53 minutes • DBpedia voice interface average time 2:22 minutes • No significant difference  Both voice interfaces equally fast • Also no learning curve found
  • 14. Results: Error rate • In general both voice interface have significantly the same error rate • For question 2 of question set 1 Wikipedia has a significantly lower error rate
  • 15. Results: Usability • Usability is divided into 4 scores: o Overall satisfaction o System usefulness o Information quality o Interface quality • In general no significant difference between Wikipedia and DBpedia voice interface for all scores • When voice interfaces are tested first: o Wikipedia scores higher on overall satisfaction and information quality
  • 16. Discussion • WiFi connection sometimes did not work • DBpedia was offline a number of times o DBpedia backup voice interface • Participants are used to access textual version of Web • DBpedia contains very little information • DBpedia voice interface is domain specific
  • 17. Conclusion • To make information from Wikipedia efficiently available using voice interfaces for GSM: o Requirements should be met o Conversion methods used in this research should be considered, because they work efficiently o Both normal Web data, Wikipedia, or Linked Data, Dbpedia, can be used
  • 18. Future work • Can be used in developing countries o Should use local languages o Local phone number o Should be tested there outside a lab o Investigate what information these people need • Broaden scope to whole Wikipedia and DBpedia