Rapid Dialogue Prototyping Methodology
This paper is about the automated production of dialogue models. The goal is to propose and validate a methodology that allows the production of finalized dialogue models (i.e. dialogue models specific for given applications) in a few hours. The solution we propose for such a methodology, called the...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buchkapitel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 586 |
|---|---|
| container_issue | |
| container_start_page | 579 |
| container_title | |
| container_volume | |
| creator | Bui, Trung H. Rajman, Martin Melichar, Miroslav |
| description | This paper is about the automated production of dialogue models. The goal is to propose and validate a methodology that allows the production of finalized dialogue models (i.e. dialogue models specific for given applications) in a few hours. The solution we propose for such a methodology, called the Rapid Dialogue Prototyping Methodology (RDPM), is decomposed into five consecutive main steps, namely: (1) producing the task model; (2) deriving the initial dialogue model; (3) using a Wizard-of-Oz experiment to instantiate the initial dialogue model; (4) using an internal field test to refine the dialogue model; and (5) using an external field test to evaluate the final dialogue model. All five steps will be described in more detail in the document. |
| doi_str_mv | 10.1007/978-3-540-30120-2_73 |
| format | Book Chapter |
| fullrecord | <record><control><sourceid>pascalfrancis_sprin</sourceid><recordid>TN_cdi_pascalfrancis_primary_16194702</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>16194702</sourcerecordid><originalsourceid>FETCH-LOGICAL-p274t-d02456bcbfd1b5307a06b7143168958badc64dc54871511bb67060f3659e9e5d3</originalsourceid><addsrcrecordid>eNo9kEtPwzAQhM1Loir5Bxx6gZth7fUjPqJSHlIRCMHZsuOkBEodxeGQf4_bIvYy0sxopfkIOWdwxQD0tdElRSoFUATGgXKr8YAU2cZs7jx-SCZMMUYRhTn6zziCMOqYTHKLU6MFnpIipU_Ix6WWEifk8tV1bZjdtm4dVz_17KWPQxzGrt2sZk_18BFDzMF4Rk4at0518adT8n63eJs_0OXz_eP8Zkk7rsVAA3Ahla98E5iXCNqB8poJZKo0svQuVEqESopSM8mY90qDggaVNLWpZcApudj_7Vyq3Lrp3aZqk-369tv1o80jjdB52JTwfS_laLOqe-tj_EqWgd1Cs5mARZsZ2B0gu4WGv8BlWAE</addsrcrecordid><sourcetype>Index Database</sourcetype><iscdi>true</iscdi><recordtype>book_chapter</recordtype></control><display><type>book_chapter</type><title>Rapid Dialogue Prototyping Methodology</title><source>Springer Books</source><creator>Bui, Trung H. ; Rajman, Martin ; Melichar, Miroslav</creator><contributor>Pala, Karel ; Sojka, Petr ; Kopeček, Ivan</contributor><creatorcontrib>Bui, Trung H. ; Rajman, Martin ; Melichar, Miroslav ; Pala, Karel ; Sojka, Petr ; Kopeček, Ivan</creatorcontrib><description>This paper is about the automated production of dialogue models. The goal is to propose and validate a methodology that allows the production of finalized dialogue models (i.e. dialogue models specific for given applications) in a few hours. The solution we propose for such a methodology, called the Rapid Dialogue Prototyping Methodology (RDPM), is decomposed into five consecutive main steps, namely: (1) producing the task model; (2) deriving the initial dialogue model; (3) using a Wizard-of-Oz experiment to instantiate the initial dialogue model; (4) using an internal field test to refine the dialogue model; and (5) using an external field test to evaluate the final dialogue model. All five steps will be described in more detail in the document.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 9783540230496</identifier><identifier>ISBN: 3540230491</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 9783540301202</identifier><identifier>EISBN: 3540301208</identifier><identifier>DOI: 10.1007/978-3-540-30120-2_73</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Applied sciences ; Artificial intelligence ; Computer science; control theory; systems ; Dialogue Management ; Dialogue Model ; Exact sciences and technology ; Smart Home Environment ; Solution Table ; Speech and sound recognition and synthesis. Linguistics ; Task Model</subject><ispartof>Lecture notes in computer science, 2004, p.579-586</ispartof><rights>Springer-Verlag Berlin Heidelberg 2004</rights><rights>2004 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><relation>Lecture Notes in Computer Science</relation></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/978-3-540-30120-2_73$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/978-3-540-30120-2_73$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>309,310,775,776,780,785,786,789,4036,4037,27902,38232,41418,42487</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=16194702$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><contributor>Pala, Karel</contributor><contributor>Sojka, Petr</contributor><contributor>Kopeček, Ivan</contributor><creatorcontrib>Bui, Trung H.</creatorcontrib><creatorcontrib>Rajman, Martin</creatorcontrib><creatorcontrib>Melichar, Miroslav</creatorcontrib><title>Rapid Dialogue Prototyping Methodology</title><title>Lecture notes in computer science</title><description>This paper is about the automated production of dialogue models. The goal is to propose and validate a methodology that allows the production of finalized dialogue models (i.e. dialogue models specific for given applications) in a few hours. The solution we propose for such a methodology, called the Rapid Dialogue Prototyping Methodology (RDPM), is decomposed into five consecutive main steps, namely: (1) producing the task model; (2) deriving the initial dialogue model; (3) using a Wizard-of-Oz experiment to instantiate the initial dialogue model; (4) using an internal field test to refine the dialogue model; and (5) using an external field test to evaluate the final dialogue model. All five steps will be described in more detail in the document.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Dialogue Management</subject><subject>Dialogue Model</subject><subject>Exact sciences and technology</subject><subject>Smart Home Environment</subject><subject>Solution Table</subject><subject>Speech and sound recognition and synthesis. Linguistics</subject><subject>Task Model</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540230496</isbn><isbn>3540230491</isbn><isbn>9783540301202</isbn><isbn>3540301208</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2004</creationdate><recordtype>book_chapter</recordtype><recordid>eNo9kEtPwzAQhM1Loir5Bxx6gZth7fUjPqJSHlIRCMHZsuOkBEodxeGQf4_bIvYy0sxopfkIOWdwxQD0tdElRSoFUATGgXKr8YAU2cZs7jx-SCZMMUYRhTn6zziCMOqYTHKLU6MFnpIipU_Ix6WWEifk8tV1bZjdtm4dVz_17KWPQxzGrt2sZk_18BFDzMF4Rk4at0518adT8n63eJs_0OXz_eP8Zkk7rsVAA3Ahla98E5iXCNqB8poJZKo0svQuVEqESopSM8mY90qDggaVNLWpZcApudj_7Vyq3Lrp3aZqk-369tv1o80jjdB52JTwfS_laLOqe-tj_EqWgd1Cs5mARZsZ2B0gu4WGv8BlWAE</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Bui, Trung H.</creator><creator>Rajman, Martin</creator><creator>Melichar, Miroslav</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>2004</creationdate><title>Rapid Dialogue Prototyping Methodology</title><author>Bui, Trung H. ; Rajman, Martin ; Melichar, Miroslav</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p274t-d02456bcbfd1b5307a06b7143168958badc64dc54871511bb67060f3659e9e5d3</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Computer science; control theory; systems</topic><topic>Dialogue Management</topic><topic>Dialogue Model</topic><topic>Exact sciences and technology</topic><topic>Smart Home Environment</topic><topic>Solution Table</topic><topic>Speech and sound recognition and synthesis. Linguistics</topic><topic>Task Model</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bui, Trung H.</creatorcontrib><creatorcontrib>Rajman, Martin</creatorcontrib><creatorcontrib>Melichar, Miroslav</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bui, Trung H.</au><au>Rajman, Martin</au><au>Melichar, Miroslav</au><au>Pala, Karel</au><au>Sojka, Petr</au><au>Kopeček, Ivan</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>Rapid Dialogue Prototyping Methodology</atitle><btitle>Lecture notes in computer science</btitle><seriestitle>Lecture Notes in Computer Science</seriestitle><date>2004</date><risdate>2004</risdate><spage>579</spage><epage>586</epage><pages>579-586</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540230496</isbn><isbn>3540230491</isbn><eisbn>9783540301202</eisbn><eisbn>3540301208</eisbn><abstract>This paper is about the automated production of dialogue models. The goal is to propose and validate a methodology that allows the production of finalized dialogue models (i.e. dialogue models specific for given applications) in a few hours. The solution we propose for such a methodology, called the Rapid Dialogue Prototyping Methodology (RDPM), is decomposed into five consecutive main steps, namely: (1) producing the task model; (2) deriving the initial dialogue model; (3) using a Wizard-of-Oz experiment to instantiate the initial dialogue model; (4) using an internal field test to refine the dialogue model; and (5) using an external field test to evaluate the final dialogue model. All five steps will be described in more detail in the document.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/978-3-540-30120-2_73</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Lecture notes in computer science, 2004, p.579-586 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_16194702 |
| source | Springer Books |
| subjects | Applied sciences Artificial intelligence Computer science control theory systems Dialogue Management Dialogue Model Exact sciences and technology Smart Home Environment Solution Table Speech and sound recognition and synthesis. Linguistics Task Model |
| title | Rapid Dialogue Prototyping Methodology |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T05%3A05%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-pascalfrancis_sprin&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=bookitem&rft.atitle=Rapid%20Dialogue%20Prototyping%20Methodology&rft.btitle=Lecture%20notes%20in%20computer%20science&rft.au=Bui,%20Trung%20H.&rft.date=2004&rft.spage=579&rft.epage=586&rft.pages=579-586&rft.issn=0302-9743&rft.eissn=1611-3349&rft.isbn=9783540230496&rft.isbn_list=3540230491&rft_id=info:doi/10.1007/978-3-540-30120-2_73&rft_dat=%3Cpascalfrancis_sprin%3E16194702%3C/pascalfrancis_sprin%3E%3Curl%3E%3C/url%3E&rft.eisbn=9783540301202&rft.eisbn_list=3540301208&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |