1 / 22

Wizard of OZ

Wizard of OZ. Oxford, Maurice Vereecken. Goal of implementing Woz. Wp2 Quick insight in mapping events to Ontdeknet Working towards what to do in WP3 Finding the possible obstacles on forehand. Wp4 Validating intervention model Ad-hoc testing of new ideas. Implementation;Overview.

jescie-soto
Download Presentation

Wizard of OZ

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Wizard of OZ Oxford, Maurice Vereecken

  2. Goal of implementing Woz • Wp2 • Quick insight in mapping events to Ontdeknet • Working towards what to do in WP3 • Finding the possible obstacles on forehand. • Wp4 • Validating intervention model • Ad-hoc testing of new ideas

  3. Implementation;Overview

  4. Step 1; Gather information

  5. Step 2; Ozzing

  6. Step 3; Create model

  7. Step 4; Implement model

  8. What is woz • The Wizard of Oz technique enables unimplemented technology to be evaluated by using a human to simulate the response of a system. Interacting with the ‘knowledge’ the agent would have. • Actors • Wizard (Observer) • Dorothy (Logged in user)

  9. What is woz

  10. Using Woz • The "wizard" sits in a back room, observes the user's actions, and simulates the system's responses in real-time. Often users are unaware (until after the experiment) that the system was not real. • The "wizard" has to be able to quickly and accurately discern the user's input. The output must also be sufficiently simple that the "wizard" can simulate or create it in real time. • The easy way: • The user logs in to the system • The observer receives all the application events the system generates • The observer interpretes the data and gives a response based on reasoning (ie; a reasoning tree)

  11. Example 1; Introduction • Outline • In the introduction fase, the user has to click on “edit’, fill in his personal introduction and has to click on “save” • The introduction is finished when he has filled in more than 5 words.

  12. Example 1; Introduction • Events • When clicking on “edit” a “start task” is fired • When clicking on “save” and more than 5 words are filled in a “complete task” is fired. • Parameters • The context; Introduction • The text; The filled in introduction

  13. Example 1; Introduction • Fill in your introduction • The user provides a description/story about himself. Current problem: • Is the user done introducing himself; When is the task finished?

  14. Example 1; Introduction

  15. Example 1; Introduction

  16. Example 2; Assignment • Outline • The user has to open an assignment • Make a decision if we want to use an expert which he is already signed on or search for a new one. • Select the expert for the project

  17. Example 2; Assignment • Events • Start_event on opening assignment • Start_event on selecting expert tab • Parameters • The assignment context;

  18. Example 2; Assignment • Navigation; (three modalities) • Tell the user; Give a hint how to get to the assignment • Guide the user; tell all the steps the user must take (Buttons etc) • Redirect; Directly show the right screen

  19. Example 2; Assignment • Select expert for the assignment • The user can choose one of his own experts or (s)he can sign up with a new one. Current problem: • Signing up with a new expert can be an optional task. How do we manage that? • The user can work parallel on multiple assignments, activities like reading a diary are not linked with one single assignment • The user can click anywhere, the intention is not clear. • If the teacher decides the task isn’t finished, the completed task has to be reopened

  20. Example 2; Assignment

  21. Example 2; Assignment

  22. Next steps • Wp2 • Validate events mapping to model • Creating model on base of lessons learned • Wp4 • Check working of model • Fine tune model on base of pilots

More Related