Using Natural Language Conventions in the User Interface Design of Automatic Speech Recognition Systems
Four experiments were performed to examine how natural language conventions might be used to improve the user interface for systems using automatic speech recognition (ASR). Two new technological developments offered us this opportunity: word spotting permits recognition of key words embedded in ext...
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Veröffentlicht in: | Human factors 1995-06, Vol.37 (2), p.265-282 |
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description | Four experiments were performed to examine how natural language conventions might be used to improve the user interface for systems using automatic speech recognition (ASR). Two new technological developments offered us this opportunity: word spotting permits recognition of key words embedded in extraneous speech; barge in permits the user to speak to the system while it plays instructional prompts. Our goal was to take advantage of natural language conventions to design an optimal prompting arrangement that would accommodate both novice and expert users. The conversational conventions we focused on included people's readiness to speak in response to a direct question and during an appropriately timed conversational pause. We studied these conventions in the context of an automated operator service. Our results indicated that a prompt-arranged as a leading question, followed by a brief pause and then a list of key words-met our goals for both the initial prompt and, if ASR failed. a subsequent reprompt. This approach resulted in fast, accurate responding, a user interface that received high user acceptance ratings, and an interface that was usable by both novice and expert users. |
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Two new technological developments offered us this opportunity: word spotting permits recognition of key words embedded in extraneous speech; barge in permits the user to speak to the system while it plays instructional prompts. Our goal was to take advantage of natural language conventions to design an optimal prompting arrangement that would accommodate both novice and expert users. The conversational conventions we focused on included people's readiness to speak in response to a direct question and during an appropriately timed conversational pause. We studied these conventions in the context of an automated operator service. Our results indicated that a prompt-arranged as a leading question, followed by a brief pause and then a list of key words-met our goals for both the initial prompt and, if ASR failed. a subsequent reprompt. 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Two new technological developments offered us this opportunity: word spotting permits recognition of key words embedded in extraneous speech; barge in permits the user to speak to the system while it plays instructional prompts. Our goal was to take advantage of natural language conventions to design an optimal prompting arrangement that would accommodate both novice and expert users. The conversational conventions we focused on included people's readiness to speak in response to a direct question and during an appropriately timed conversational pause. We studied these conventions in the context of an automated operator service. Our results indicated that a prompt-arranged as a leading question, followed by a brief pause and then a list of key words-met our goals for both the initial prompt and, if ASR failed. a subsequent reprompt. This approach resulted in fast, accurate responding, a user interface that received high user acceptance ratings, and an interface that was usable by both novice and expert users.</description><subject>Automatic speech recognition</subject><subject>Automation</subject><subject>Computational linguistics</subject><subject>Conventions</subject><subject>Conversation</subject><subject>Human-computer interaction</subject><subject>Keywords</subject><subject>Language</subject><subject>Language processing</subject><subject>Natural language</subject><subject>Natural language interfaces</subject><subject>Speech</subject><subject>Speech processing systems</subject><subject>Speech recognition</subject><subject>User interface</subject><subject>Voice recognition</subject><issn>0018-7208</issn><issn>1547-8181</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1995</creationdate><recordtype>article</recordtype><sourceid>K30</sourceid><recordid>eNp90U1r3DAQBmBRUugm7R_oSbTXOJFsyR4dl23zAUsLTXI2ijxyFNbSVpID-ffVsjkEsg06CMTzjpgZQr5ydsYlh3PGOHQ1U7LrFGtFC_wDWXApugo48COy2IGqCPhEjlN6ZIy1qpELMt4l50f6S-c56g1daz_OekS6Cv4JfXbBJ-o8zQ9I7xJGeu0zRqsN0h-Y3OhpsHQ55zDp7Ay92SKaB_oHTRi926XpzXPKOKXP5KPVm4RfXu4Tcnvx83Z1Va1_X16vluvKCNHkamBqgJYNteSyAzNIa1DVIKRtZWehvh90A524H0CA0ihKW9gA4xpAczU0J-T7vuw2hr8zptw_hjn68mPPVZlKK0Qt31UN5yBBgSjq216NeoO98zbkqM3kkumXHEoZ4F1BpwfQiB7LOINH68rza14d4OUMODlzyNd7b2JIKaLtt9FNOj73nPW7zfdvN19C5_tQKpt81dr_E_8AyGirMg</recordid><startdate>199506</startdate><enddate>199506</enddate><creator>Brems, Douglas J.</creator><creator>Rabin, Michael D.</creator><creator>Waggett, Jill L.</creator><general>SAGE Publications</general><general>Sage Publications, Inc</general><general>Human Factors Society of America</general><general>Human Factors and Ergonomics Society</general><scope>AAYXX</scope><scope>CITATION</scope><scope>JRZRW</scope><scope>K30</scope><scope>PAAUG</scope><scope>PAWHS</scope><scope>PAWZZ</scope><scope>PAXOH</scope><scope>PBHAV</scope><scope>PBQSW</scope><scope>PBYQZ</scope><scope>PCIWU</scope><scope>PCMID</scope><scope>PCZJX</scope><scope>PDGRG</scope><scope>PDWWI</scope><scope>PETMR</scope><scope>PFVGT</scope><scope>PGXDX</scope><scope>PIHIL</scope><scope>PISVA</scope><scope>PJCTQ</scope><scope>PJTMS</scope><scope>PLCHJ</scope><scope>PMHAD</scope><scope>PNQDJ</scope><scope>POUND</scope><scope>PPLAD</scope><scope>PQAPC</scope><scope>PQCAN</scope><scope>PQCMW</scope><scope>PQEME</scope><scope>PQHKH</scope><scope>PQMID</scope><scope>PQNCT</scope><scope>PQNET</scope><scope>PQSCT</scope><scope>PQSET</scope><scope>PSVJG</scope><scope>PVMQY</scope><scope>PZGFC</scope><scope>7QF</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T2</scope><scope>7T9</scope><scope>7TA</scope><scope>7TB</scope><scope>7TK</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9.</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>199506</creationdate><title>Using Natural Language Conventions in the User Interface Design of Automatic Speech Recognition Systems</title><author>Brems, Douglas J. ; Rabin, Michael D. ; Waggett, Jill L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c443t-d09d860d251578cd5fce92845f657f82bda3874bd8489ae4001e3801a88a19d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1995</creationdate><topic>Automatic speech recognition</topic><topic>Automation</topic><topic>Computational linguistics</topic><topic>Conventions</topic><topic>Conversation</topic><topic>Human-computer interaction</topic><topic>Keywords</topic><topic>Language</topic><topic>Language processing</topic><topic>Natural language</topic><topic>Natural language interfaces</topic><topic>Speech</topic><topic>Speech processing systems</topic><topic>Speech recognition</topic><topic>User interface</topic><topic>Voice recognition</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brems, Douglas J.</creatorcontrib><creatorcontrib>Rabin, Michael D.</creatorcontrib><creatorcontrib>Waggett, Jill L.</creatorcontrib><collection>CrossRef</collection><collection>Periodicals Index Online Segment 35</collection><collection>Periodicals Index Online</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - 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Two new technological developments offered us this opportunity: word spotting permits recognition of key words embedded in extraneous speech; barge in permits the user to speak to the system while it plays instructional prompts. Our goal was to take advantage of natural language conventions to design an optimal prompting arrangement that would accommodate both novice and expert users. The conversational conventions we focused on included people's readiness to speak in response to a direct question and during an appropriately timed conversational pause. We studied these conventions in the context of an automated operator service. Our results indicated that a prompt-arranged as a leading question, followed by a brief pause and then a list of key words-met our goals for both the initial prompt and, if ASR failed. a subsequent reprompt. This approach resulted in fast, accurate responding, a user interface that received high user acceptance ratings, and an interface that was usable by both novice and expert users.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><doi>10.1518/001872095779064681</doi><tpages>18</tpages></addata></record> |
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subjects | Automatic speech recognition Automation Computational linguistics Conventions Conversation Human-computer interaction Keywords Language Language processing Natural language Natural language interfaces Speech Speech processing systems Speech recognition User interface Voice recognition |
title | Using Natural Language Conventions in the User Interface Design of Automatic Speech Recognition Systems |
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