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Human robot interaction through sema...

University of Kansas., Electrical Engineering & Computer Science.

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Human robot interaction through semantic integration of multiple modalities, dialog management, and contexts.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Human robot interaction through semantic integration of multiple modalities, dialog management, and contexts./
Author:	Johnson, David O.
Description:	265 p.
Notes:	Adviser: Arvin Agah.
Contained By:	Dissertation Abstracts International69-11B.
Subject:	Artificial Intelligence. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3331487
ISBN:	9780549896111

Human robot interaction through semantic integration of multiple modalities, dialog management, and contexts.
Johnson, David O.

Human robot interaction through semantic integration of multiple modalities, dialog management, and contexts. - 265 p.

Adviser: Arvin Agah.

Thesis (Ph.D.)--University of Kansas, 2009.

The hypothesis for this research is that applying the Human Computer Interaction (HCI) concepts of using multiple modalities, dialog management, context, and semantics to Human Robot Interaction (HRI) will improve the performance of Instruction Based Learning (IBL) compared to only using speech. We tested the hypothesis by simulating a domestic robot that can be taught to clean a house using a multi-modal interface. We used a method of semantically integrating the inputs from multiple modalities and contexts that multiplies a confidence score for each input by a Fusion Weight, sums the products, and then uses the input with the highest product sum. We developed an algorithm for determining the Fusion Weights. We concluded that different modalities, contexts, and modes of dialog management impact human robot interaction; however, which combination is better depends on the importance of the accuracy of learning what is taught versus the succinctness of the dialog between the user and the robot.

ISBN: 9780549896111Subjects--Topical Terms:

769149
Artificial Intelligence.

Human robot interaction through semantic integration of multiple modalities, dialog management, and contexts.
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020 $a 9780549896111
035 $a (UMI)AAI3331487
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040 $a UMI $c UMI
100 1 $a Johnson, David O. $3 1024669
245 1 0 $a Human robot interaction through semantic integration of multiple modalities, dialog management, and contexts.
300 $a 265 p.
500 $a Adviser: Arvin Agah.
500 $a Source: Dissertation Abstracts International, Volume: 69-11, Section: B, page: .
502 $a Thesis (Ph.D.)--University of Kansas, 2009.
520 $a The hypothesis for this research is that applying the Human Computer Interaction (HCI) concepts of using multiple modalities, dialog management, context, and semantics to Human Robot Interaction (HRI) will improve the performance of Instruction Based Learning (IBL) compared to only using speech. We tested the hypothesis by simulating a domestic robot that can be taught to clean a house using a multi-modal interface. We used a method of semantically integrating the inputs from multiple modalities and contexts that multiplies a confidence score for each input by a Fusion Weight, sums the products, and then uses the input with the highest product sum. We developed an algorithm for determining the Fusion Weights. We concluded that different modalities, contexts, and modes of dialog management impact human robot interaction; however, which combination is better depends on the importance of the accuracy of learning what is taught versus the succinctness of the dialog between the user and the robot.
590 $a School code: 0099.
650 4 $a Artificial Intelligence. $3 769149
650 4 $a Computer Science. $3 626642
650 4 $a Engineering, Robotics. $3 1018454
690 $a 0771
690 $a 0800
690 $a 0984
710 2 $a University of Kansas. $b Electrical Engineering & Computer Science. $3 1018713
773 0 $t Dissertation Abstracts International $g 69-11B.
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790 1 0 $a Agah, Arvin, $e advisor
790 1 0 $a Chakrabarti, Swapan $e committee member
790 1 0 $a Chen, Xue-Wen $e committee member
790 1 0 $a Potetz, Brian $e committee member
790 1 0 $a Wilson, Sara $e committee member
791 $a Ph.D.
792 $a 2009
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3331487