Aggregated community question answering

Alton Y.K. Chua, Snehasish Banerjee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The objective of this paper is two-fold objective. First, it introduces ACQUA, a conceptual prototype for an Aggregated Community QUestion Answering site, which provides question clustering and answer prediction functionalities across an aggregation of multiple CQAs. Second, using a combination of questionnaires and group interviews, it conducts an evaluation of users; behavioral intention to adopt ACQUA based on four parameters, namely, perceived usefulness, perceived ease of use, competence, and usability. Results indicate that the behavioral intention to adopt ACQUA was generally promising. In particular, ACQUA received favorable responses from most participants in terms of perceived usefulness, perceived ease of use, and competence. In terms of usability however, the consensus was not completely in favor of ACQUA. Three implications arising from the findings are discussed. Finally, the paper concludes with notes on limitations and future work.

Original languageEnglish
Title of host publicationProceedings of the International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013
PublisherNewswood Limited
Pages397-402
Number of pages6
ISBN (Print)9789881925183
Publication statusPublished - 2013
Externally publishedYes
EventInternational MultiConference of Engineers and Computer Scientists 2013, IMECS 2013 - Kowloon, Hong Kong
Duration: Mar 13 2013Mar 15 2013

Publication series

NameLecture Notes in Engineering and Computer Science
Volume2202
ISSN (Print)2078-0958

Conference

ConferenceInternational MultiConference of Engineers and Computer Scientists 2013, IMECS 2013
Country/TerritoryHong Kong
CityKowloon
Period3/13/133/15/13

ASJC Scopus Subject Areas

  • Computer Science (miscellaneous)

Keywords

  • Answer prediction
  • Behavioral intention to adopt
  • Community question answering
  • Question clustering

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