Challenges in Building Highly Interactive Dialogue Systems

Spoken dialogue researchers have recently demonstrated highly interactive systems in several domains. This paper considers how to build on these advances to make systems more robust, easier to develop, and more scientifically significant. We identify key challenges whose solution would lead to impro...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:The AI magazine 2016-12, Vol.37 (4), p.7-18
Hauptverfasser: Ward, Nigel G., DeVault, David
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 18
container_issue 4
container_start_page 7
container_title The AI magazine
container_volume 37
creator Ward, Nigel G.
DeVault, David
description Spoken dialogue researchers have recently demonstrated highly interactive systems in several domains. This paper considers how to build on these advances to make systems more robust, easier to develop, and more scientifically significant. We identify key challenges whose solution would lead to improvements in dialogue systems and beyond.
doi_str_mv 10.1609/aimag.v37i4.2687
format Article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_1868266673</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A477085923</galeid><sourcerecordid>A477085923</sourcerecordid><originalsourceid>FETCH-LOGICAL-c6796-9f79bb0adcf2e5d3c341b89bd2fb8266951ced40feaa0fbad58c6b6fd68b023f3</originalsourceid><addsrcrecordid>eNqVkl1r2zAUhsVYYVnb-10adjWYM1ly9LE7J1vTQFhh7a6FJB-pKo7dWXa3_PspTWELhK1DIIF4Xh3p6EHoTYGnBcPygw4b7acPlIdySpjgL9CEUF7kkpHiJZpgTkVeMkxeodcx3mGMmaBsgj4ubnXTQOshZqHN5mNo6tD67DL422abrdoBem2H8ADZp6Cbzo-QXW_jAJt4hk6cbiKcP62n6NvF55vFZb6-Wq4W1Tq3jEuWS8elMVjX1hGY1dTSsjBCmpo4IwhjclZYqEvsQGvsjK5nwjLDXM2EwYQ6eore7s-977vvI8RB3XVj36aSqhBsdwTj9DfldQMqtK4b0sU3IVpVlZxjMZNkR-VHKA9temXTteBC2j7gp0f4NGrYBHs08O4gkJgBfg5ejzGq1fXX_2C_PJ-dL5_NiuX6bw15Ym2XpPCg0kcurg7593_wZoyhhZimmHwZ4r7EAY73uO27GHtw6r5PovZbVWC181Y9eqsevVU7b1NE7iM_Umu3_-RVVVWr-QUusGT0F8d-7Y8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1868266673</pqid></control><display><type>article</type><title>Challenges in Building Highly Interactive Dialogue Systems</title><source>Alma/SFX Local Collection</source><source>EZB Electronic Journals Library</source><creator>Ward, Nigel G. ; DeVault, David</creator><creatorcontrib>Ward, Nigel G. ; DeVault, David</creatorcontrib><description>Spoken dialogue researchers have recently demonstrated highly interactive systems in several domains. This paper considers how to build on these advances to make systems more robust, easier to develop, and more scientifically significant. We identify key challenges whose solution would lead to improvements in dialogue systems and beyond.</description><identifier>ISSN: 0738-4602</identifier><identifier>EISSN: 2371-9621</identifier><identifier>DOI: 10.1609/aimag.v37i4.2687</identifier><language>eng</language><publisher>La Canada: American Association for Artificial Intelligence</publisher><subject>Artificial intelligence ; Computational linguistics ; Design ; Domains ; Innovations ; Intelligent agent ; Intelligent agents ; Interactive computer systems ; Interactive systems ; Interactive technology ; Language processing ; Learning ; Natural language interfaces ; Natural language processing ; Researchers ; Skills ; Speech ; Speech recognition software ; User behavior ; Voice recognition software</subject><ispartof>The AI magazine, 2016-12, Vol.37 (4), p.7-18</ispartof><rights>2016 The Authors. AI Magazine published by John Wiley &amp; Sons Ltd on behalf of Association for the Advancement of Artificial Intelligence</rights><rights>COPYRIGHT 2016 American Association for Artificial Intelligence</rights><rights>COPYRIGHT 2016 American Association for Artificial Intelligence</rights><rights>Copyright Association for the Advancement of Artificial Intelligence Winter 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c6796-9f79bb0adcf2e5d3c341b89bd2fb8266951ced40feaa0fbad58c6b6fd68b023f3</citedby><cites>FETCH-LOGICAL-c6796-9f79bb0adcf2e5d3c341b89bd2fb8266951ced40feaa0fbad58c6b6fd68b023f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Ward, Nigel G.</creatorcontrib><creatorcontrib>DeVault, David</creatorcontrib><title>Challenges in Building Highly Interactive Dialogue Systems</title><title>The AI magazine</title><addtitle>AI Magazine</addtitle><description>Spoken dialogue researchers have recently demonstrated highly interactive systems in several domains. This paper considers how to build on these advances to make systems more robust, easier to develop, and more scientifically significant. We identify key challenges whose solution would lead to improvements in dialogue systems and beyond.</description><subject>Artificial intelligence</subject><subject>Computational linguistics</subject><subject>Design</subject><subject>Domains</subject><subject>Innovations</subject><subject>Intelligent agent</subject><subject>Intelligent agents</subject><subject>Interactive computer systems</subject><subject>Interactive systems</subject><subject>Interactive technology</subject><subject>Language processing</subject><subject>Learning</subject><subject>Natural language interfaces</subject><subject>Natural language processing</subject><subject>Researchers</subject><subject>Skills</subject><subject>Speech</subject><subject>Speech recognition software</subject><subject>User behavior</subject><subject>Voice recognition software</subject><issn>0738-4602</issn><issn>2371-9621</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>N95</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqVkl1r2zAUhsVYYVnb-10adjWYM1ly9LE7J1vTQFhh7a6FJB-pKo7dWXa3_PspTWELhK1DIIF4Xh3p6EHoTYGnBcPygw4b7acPlIdySpjgL9CEUF7kkpHiJZpgTkVeMkxeodcx3mGMmaBsgj4ubnXTQOshZqHN5mNo6tD67DL422abrdoBem2H8ADZp6Cbzo-QXW_jAJt4hk6cbiKcP62n6NvF55vFZb6-Wq4W1Tq3jEuWS8elMVjX1hGY1dTSsjBCmpo4IwhjclZYqEvsQGvsjK5nwjLDXM2EwYQ6eore7s-977vvI8RB3XVj36aSqhBsdwTj9DfldQMqtK4b0sU3IVpVlZxjMZNkR-VHKA9temXTteBC2j7gp0f4NGrYBHs08O4gkJgBfg5ejzGq1fXX_2C_PJ-dL5_NiuX6bw15Ym2XpPCg0kcurg7593_wZoyhhZimmHwZ4r7EAY73uO27GHtw6r5PovZbVWC181Y9eqsevVU7b1NE7iM_Umu3_-RVVVWr-QUusGT0F8d-7Y8</recordid><startdate>20161222</startdate><enddate>20161222</enddate><creator>Ward, Nigel G.</creator><creator>DeVault, David</creator><general>American Association for Artificial Intelligence</general><general>John Wiley &amp; Sons, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>N95</scope><scope>XI7</scope><scope>8GL</scope><scope>IBG</scope><scope>ISN</scope><scope>ISR</scope><scope>3V.</scope><scope>4T-</scope><scope>4U-</scope><scope>7RQ</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>8AL</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CNYFK</scope><scope>DWQXO</scope><scope>E3H</scope><scope>F2A</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>L.-</scope><scope>L6V</scope><scope>M0C</scope><scope>M0N</scope><scope>M1O</scope><scope>M2O</scope><scope>M2P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>S0X</scope><scope>U9A</scope></search><sort><creationdate>20161222</creationdate><title>Challenges in Building Highly Interactive Dialogue Systems</title><author>Ward, Nigel G. ; DeVault, David</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c6796-9f79bb0adcf2e5d3c341b89bd2fb8266951ced40feaa0fbad58c6b6fd68b023f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Artificial intelligence</topic><topic>Computational linguistics</topic><topic>Design</topic><topic>Domains</topic><topic>Innovations</topic><topic>Intelligent agent</topic><topic>Intelligent agents</topic><topic>Interactive computer systems</topic><topic>Interactive systems</topic><topic>Interactive technology</topic><topic>Language processing</topic><topic>Learning</topic><topic>Natural language interfaces</topic><topic>Natural language processing</topic><topic>Researchers</topic><topic>Skills</topic><topic>Speech</topic><topic>Speech recognition software</topic><topic>User behavior</topic><topic>Voice recognition software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ward, Nigel G.</creatorcontrib><creatorcontrib>DeVault, David</creatorcontrib><collection>CrossRef</collection><collection>Gale Business: Insights</collection><collection>Business Insights: Essentials</collection><collection>Gale In Context: High School</collection><collection>Biography (Gale in Context)</collection><collection>Gale In Context: Canada</collection><collection>Science (Gale in Context)</collection><collection>ProQuest Central (Corporate)</collection><collection>Docstoc</collection><collection>University Readers</collection><collection>ProQuest Career &amp; Technical Education Database</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>Science Database (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Social Science Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Library &amp; Information Science Collection</collection><collection>ProQuest Central</collection><collection>Library &amp; Information Sciences Abstracts (LISA)</collection><collection>Library &amp; Information Science Abstracts (LISA)</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>ProQuest Library Science Database</collection><collection>ProQuest_Research Library</collection><collection>ProQuest Science Journals</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><jtitle>The AI magazine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ward, Nigel G.</au><au>DeVault, David</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Challenges in Building Highly Interactive Dialogue Systems</atitle><jtitle>The AI magazine</jtitle><addtitle>AI Magazine</addtitle><date>2016-12-22</date><risdate>2016</risdate><volume>37</volume><issue>4</issue><spage>7</spage><epage>18</epage><pages>7-18</pages><issn>0738-4602</issn><eissn>2371-9621</eissn><abstract>Spoken dialogue researchers have recently demonstrated highly interactive systems in several domains. This paper considers how to build on these advances to make systems more robust, easier to develop, and more scientifically significant. We identify key challenges whose solution would lead to improvements in dialogue systems and beyond.</abstract><cop>La Canada</cop><pub>American Association for Artificial Intelligence</pub><doi>10.1609/aimag.v37i4.2687</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0738-4602
ispartof The AI magazine, 2016-12, Vol.37 (4), p.7-18
issn 0738-4602
2371-9621
language eng
recordid cdi_proquest_journals_1868266673
source Alma/SFX Local Collection; EZB Electronic Journals Library
subjects Artificial intelligence
Computational linguistics
Design
Domains
Innovations
Intelligent agent
Intelligent agents
Interactive computer systems
Interactive systems
Interactive technology
Language processing
Learning
Natural language interfaces
Natural language processing
Researchers
Skills
Speech
Speech recognition software
User behavior
Voice recognition software
title Challenges in Building Highly Interactive Dialogue Systems
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T16%3A18%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Challenges%20in%20Building%20Highly%20Interactive%20Dialogue%20Systems&rft.jtitle=The%20AI%20magazine&rft.au=Ward,%20Nigel%20G.&rft.date=2016-12-22&rft.volume=37&rft.issue=4&rft.spage=7&rft.epage=18&rft.pages=7-18&rft.issn=0738-4602&rft.eissn=2371-9621&rft_id=info:doi/10.1609/aimag.v37i4.2687&rft_dat=%3Cgale_proqu%3EA477085923%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1868266673&rft_id=info:pmid/&rft_galeid=A477085923&rfr_iscdi=true