Title page for 965202029


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Student Number 965202029
Author Yen-Chieh Wang(王彥傑)
Author's Email Address No Public.
Statistics This thesis had been viewed 920 times. Download 717 times.
Department Computer Science and Information Engineering
Year 2008
Semester 2
Degree Master
Type of Document Master's Thesis
Language zh-TW.Big5 Chinese
Title Designing a robot with mixed reality interaction mechanism to increase the presence and learning motivation in learning environment
Date of Defense 2009-07-01
Page Count 53
Keyword
  • learning motivation
  • mixed reality
  • presence
  • robot
  • Abstract The traditional instruction is carried out by the teacher in the class with single side. However, knowledge is the production of the interaction between learners and surroundings. It’s meaningful for students to learn in the physical surroundings. Actually, it’s hard to build a knowledge-manipulating surrounding which contains many limitations. With the advance of augmented reality techniques, building a mixed reality of rich scenes with augmented reality has come true in the class. To interact with the surroundings in the mixed reality is expensive and hard for students; it’s hard to promote the ideas to schools or family. Therefore, we had to find a student deputy as a representative to immerse in the mixed reality and to interact with the surroundings. Toy robots and robots for education become popular and the prices are acceptable within the budget, so we used robots as the student deputy to enter the mixed reality to interact with the surroundings.
      In this research, we design a program, which can control robot in a mixed reality surroundings. Robot can interact with surroundings and learners. The program will read the map and robot’s coordinate in the scene. So robot knows where it is. Robot can detect the occurrence of events and deal with the boundary and exceptions by itself. We designed the interaction modes with learners by using the sensors which the robot built-in. We also expanded the robot’s ability in voice recognition and voice output. Learners can use multiple way to interact with the robot. Students will feel like learning in the physical surroundings.
      In this research, the subjects are 36 second grade junior high school students. They used the mixed reality learning system with robot and the learning system which use robot icon substitute the physical robot. The experiment result shows that mixed reality learning system with robot, students feel more authentic and exciting. Students feel more interesting, engaging, and increasing the presence and learning motivation though interacting with robot.
    Table of Content 中文摘要--------------------------------------- I
    英文摘要--------------------------------------- II
    誌謝------------------------------------------- III
    目錄------------------------------------------- IV
    圖目錄----------------------------------------- VI
    表目錄----------------------------------------- VII
    第一章緒論----------------------------------- 1
     1-1研究背景------------------------------- 1
     1-2研究動機------------------------------- 3
     1-3研究目標------------------------------- 3
     1-4研究問題與對策------------------------- 4
     1-5論文架構------------------------------- 5
    第二章相關理論與研究------------------------- 6
     2-1 相關理論--------------------------------- 6
      2-1-1 臨場感(Presence)-------------------- 6
     2-2相關研究------------------------------- 7
      2-2-1機器人做為呈現教材互動的角色--- 8
      2-2-2利用混合實境加強機器人能力----- 9
      2-2-3“虛擬”和“實體”的比較------- 10
    第三章系統設計與實做------------------------- 12
     3-1機器人介紹----------------------------- 12
     3-2系統環境設定--------------------------- 13
     3-3整體架構------------------------------- 15
     3-4 機器人程式系統 ------------------------- 15
      3-4-1與學習者互動------------------- 16
      3-4-2與環境互動--------------------- 18
     3-5 設計機器人 ----------------------------- 22
    第四章實驗規劃與結果------------------------- 24
     4-1實驗背景------------------------------- 24
     4-2實驗目的------------------------------- 25
     4-3實驗流程------------------------------- 25
     4-4實驗畫面------------------------------- 26
     4-5實驗結果------------------------------- 31
     4-6討論----------------------------------- 35
    第五章結論----------------------------------- 37
    參考文獻--------------------------------------- 39
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    Advisor
  • Gwo-Dong Chen(陳國棟)
  • Files
  • 965202029.pdf
  • approve in 2 years
    Date of Submission 2009-07-10

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