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Web question answering technology: A...

Robles-Flores, Jose Antonio.

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Web question answering technology: An empirical test of the task-technology fit model.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Web question answering technology: An empirical test of the task-technology fit model./
Author:	Robles-Flores, Jose Antonio.
Description:	115 p.
Notes:	Source: Dissertation Abstracts International, Volume: 71-01, Section: A, page: 0248.
Contained By:	Dissertation Abstracts International71-01A.
Subject:	Business Administration, Management. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3391800
ISBN:	9781109574692

Web question answering technology: An empirical test of the task-technology fit model.
Robles-Flores, Jose Antonio.

Web question answering technology: An empirical test of the task-technology fit model. - 115 p.

Source: Dissertation Abstracts International, Volume: 71-01, Section: A, page: 0248.

Thesis (Ph.D.)--Arizona State University, 2009.

To succeed in today's business environment, every enterprise must be able to efficiently find information on the web. Although the web is a rich source of information, there are many challenges associated with finding the right information in a timely manner. Question Answering (QA) technology has been proposed as a way to overcome some of the challenges associated with finding information on the web. QA technology enables the searcher to pose queries as question using natural language, and enables the computer to retrieve answers to questions that require the fusion of information from multiple web sources. This dissertation examines the effectiveness of QA technology.

ISBN: 9781109574692Subjects--Topical Terms:

626628
Business Administration, Management.

Web question answering technology: An empirical test of the task-technology fit model.
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100 1 $a Robles-Flores, Jose Antonio. $3 1674277
245 1 0 $a Web question answering technology: An empirical test of the task-technology fit model.
300 $a 115 p.
500 $a Source: Dissertation Abstracts International, Volume: 71-01, Section: A, page: 0248.
502 $a Thesis (Ph.D.)--Arizona State University, 2009.
520 $a To succeed in today's business environment, every enterprise must be able to efficiently find information on the web. Although the web is a rich source of information, there are many challenges associated with finding the right information in a timely manner. Question Answering (QA) technology has been proposed as a way to overcome some of the challenges associated with finding information on the web. QA technology enables the searcher to pose queries as question using natural language, and enables the computer to retrieve answers to questions that require the fusion of information from multiple web sources. This dissertation examines the effectiveness of QA technology.
520 $a To quantify the benefits of QA technology, an experiment was conducted to compare the effectiveness of QA technology with the effectiveness of Keyword Search (KW) technology. The experiment collected data from 142 participants regarding their use of both QA and KW technologies. The Task Technology Fit Theory was used to design the study, and the NASA Task Load Instrument was used to measure subject effort. Subject performance was measured objectively by counting the number of correct answers that were found.
520 $a To the researcher's knowledge, this is the first study to compare the QA and KW technologies. Based on the Task Technology Fit Theory, it was hypothesized that, when compared to the KW technology, the QA technology would be associated with higher user satisfaction, less mental effort, and higher objective performance. Although these hypotheses were not supported by the data, two interesting findings were discovered: (1) output format impacts user perception of fit with the task and user performance; (2) requiring people to use two tools rather than one increases perceived mental effort, and this, in turn, reduces user satisfaction and lowers performance. These findings have strong implications for future research on the effectiveness of search technologies.
590 $a School code: 0010.
650 4 $a Business Administration, Management. $3 626628
650 4 $a Web Studies. $3 1026830
650 4 $a Information Science. $3 1017528
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710 2 $a Arizona State University. $3 1017445
773 0 $t Dissertation Abstracts International $g 71-01A.
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