Qualitative Spatial Modelling of Human Route Instructions to Mobile Robots

This paper describes our work on improving interaction between humans and mobile robots on navigation tasks. To represent and reason about humans' route instructions, a user-centered qualitative spatial model- the Conceptual Route Graph - is introduced. Three reasoning strategies based on this...

Full description

Saved in:
Bibliographic Details
Main Authors: Hui Shi, Cui Jian, Krieg-Bruckner, B.
Format: Conference Proceeding
Language:English
Subjects:
Cognition
Cognitive robotics
Collaboration
Computer aided instruction
human-robot interaction
Humans
Mobile robots
mode confusion
Natural languages
Navigation
qualitative spatial representation and reasoning
Robot control
Robotics and automation
user focus
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 6
container_issue
container_start_page 1
container_title
container_volume
creator Hui Shi
Cui Jian
Krieg-Bruckner, B.
description This paper describes our work on improving interaction between humans and mobile robots on navigation tasks. To represent and reason about humans' route instructions, a user-centered qualitative spatial model- the Conceptual Route Graph - is introduced. Three reasoning strategies based on this conceptual model are discussed, which enable a mobile robot to generate different clarification responses if spatial mismatches are detected in route instructions. Moreover, results of an empirical study to evaluate and compare their effects on people's navigation activities are presented.
doi_str_mv 10.1109/ACHI.2010.25
format conference_proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5430131</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5430131</ieee_id><sourcerecordid>5430131</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-e8d41289c27505013fea112bb073088ca6fea2b4d0ab627c3d2d67da3d2c25833</originalsourceid><addsrcrecordid>eNo1jMtKxDAYhSMiqGN37tzkBTrmz6VJl0NRWxkRb-shaVOJZJqhSQXffgLq2XycCwehayBrAFLfbpq2W1OSLRUn6BI45VxUNSenqKil-veMnqMixi-SxQUoBRfo8WXR3iWd3LfFb4dM7fFTGKz3bvrEYcTtstcTfg1LsribYpqXPrkwRZxCHhrnbS5NSPEKnY3aR1v8cYU-7u_em7bcPj90zWZbOpAilVYNHKiqeyoFEQTYaDUANYZIRpTqdZUDavhAtKmo7NlAh0oOOrOnQjG2Qje_v85auzvMbq_nn53gLH8BOwLvoEy4</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Qualitative Spatial Modelling of Human Route Instructions to Mobile Robots</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Hui Shi ; Cui Jian ; Krieg-Bruckner, B.</creator><creatorcontrib>Hui Shi ; Cui Jian ; Krieg-Bruckner, B.</creatorcontrib><description>This paper describes our work on improving interaction between humans and mobile robots on navigation tasks. To represent and reason about humans' route instructions, a user-centered qualitative spatial model- the Conceptual Route Graph - is introduced. Three reasoning strategies based on this conceptual model are discussed, which enable a mobile robot to generate different clarification responses if spatial mismatches are detected in route instructions. Moreover, results of an empirical study to evaluate and compare their effects on people's navigation activities are presented.</description><identifier>ISBN: 9781424456932</identifier><identifier>ISBN: 1424456932</identifier><identifier>EISBN: 1424456940</identifier><identifier>EISBN: 9781424456949</identifier><identifier>EISBN: 9780769539577</identifier><identifier>EISBN: 0769539572</identifier><identifier>DOI: 10.1109/ACHI.2010.25</identifier><language>eng</language><publisher>IEEE</publisher><subject>Cognition ; Cognitive robotics ; Collaboration ; Computer aided instruction ; human-robot interaction ; Humans ; Mobile robots ; mode confusion ; Natural languages ; Navigation ; qualitative spatial representation and reasoning ; Robot control ; Robotics and automation ; user focus</subject><ispartof>2010 Third International Conference on Advances in Computer-Human Interactions, 2010, p.1-6</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5430131$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>310,311,786,790,795,796,2071,27958,55271</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5430131$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Hui Shi</creatorcontrib><creatorcontrib>Cui Jian</creatorcontrib><creatorcontrib>Krieg-Bruckner, B.</creatorcontrib><title>Qualitative Spatial Modelling of Human Route Instructions to Mobile Robots</title><title>2010 Third International Conference on Advances in Computer-Human Interactions</title><addtitle>ACHI</addtitle><description>This paper describes our work on improving interaction between humans and mobile robots on navigation tasks. To represent and reason about humans' route instructions, a user-centered qualitative spatial model- the Conceptual Route Graph - is introduced. Three reasoning strategies based on this conceptual model are discussed, which enable a mobile robot to generate different clarification responses if spatial mismatches are detected in route instructions. Moreover, results of an empirical study to evaluate and compare their effects on people's navigation activities are presented.</description><subject>Cognition</subject><subject>Cognitive robotics</subject><subject>Collaboration</subject><subject>Computer aided instruction</subject><subject>human-robot interaction</subject><subject>Humans</subject><subject>Mobile robots</subject><subject>mode confusion</subject><subject>Natural languages</subject><subject>Navigation</subject><subject>qualitative spatial representation and reasoning</subject><subject>Robot control</subject><subject>Robotics and automation</subject><subject>user focus</subject><isbn>9781424456932</isbn><isbn>1424456932</isbn><isbn>1424456940</isbn><isbn>9781424456949</isbn><isbn>9780769539577</isbn><isbn>0769539572</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1jMtKxDAYhSMiqGN37tzkBTrmz6VJl0NRWxkRb-shaVOJZJqhSQXffgLq2XycCwehayBrAFLfbpq2W1OSLRUn6BI45VxUNSenqKil-veMnqMixi-SxQUoBRfo8WXR3iWd3LfFb4dM7fFTGKz3bvrEYcTtstcTfg1LsribYpqXPrkwRZxCHhrnbS5NSPEKnY3aR1v8cYU-7u_em7bcPj90zWZbOpAilVYNHKiqeyoFEQTYaDUANYZIRpTqdZUDavhAtKmo7NlAh0oOOrOnQjG2Qje_v85auzvMbq_nn53gLH8BOwLvoEy4</recordid><startdate>201002</startdate><enddate>201002</enddate><creator>Hui Shi</creator><creator>Cui Jian</creator><creator>Krieg-Bruckner, B.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201002</creationdate><title>Qualitative Spatial Modelling of Human Route Instructions to Mobile Robots</title><author>Hui Shi ; Cui Jian ; Krieg-Bruckner, B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-e8d41289c27505013fea112bb073088ca6fea2b4d0ab627c3d2d67da3d2c25833</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Cognition</topic><topic>Cognitive robotics</topic><topic>Collaboration</topic><topic>Computer aided instruction</topic><topic>human-robot interaction</topic><topic>Humans</topic><topic>Mobile robots</topic><topic>mode confusion</topic><topic>Natural languages</topic><topic>Navigation</topic><topic>qualitative spatial representation and reasoning</topic><topic>Robot control</topic><topic>Robotics and automation</topic><topic>user focus</topic><toplevel>online_resources</toplevel><creatorcontrib>Hui Shi</creatorcontrib><creatorcontrib>Cui Jian</creatorcontrib><creatorcontrib>Krieg-Bruckner, B.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hui Shi</au><au>Cui Jian</au><au>Krieg-Bruckner, B.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Qualitative Spatial Modelling of Human Route Instructions to Mobile Robots</atitle><btitle>2010 Third International Conference on Advances in Computer-Human Interactions</btitle><stitle>ACHI</stitle><date>2010-02</date><risdate>2010</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><isbn>9781424456932</isbn><isbn>1424456932</isbn><eisbn>1424456940</eisbn><eisbn>9781424456949</eisbn><eisbn>9780769539577</eisbn><eisbn>0769539572</eisbn><abstract>This paper describes our work on improving interaction between humans and mobile robots on navigation tasks. To represent and reason about humans' route instructions, a user-centered qualitative spatial model- the Conceptual Route Graph - is introduced. Three reasoning strategies based on this conceptual model are discussed, which enable a mobile robot to generate different clarification responses if spatial mismatches are detected in route instructions. Moreover, results of an empirical study to evaluate and compare their effects on people's navigation activities are presented.</abstract><pub>IEEE</pub><doi>10.1109/ACHI.2010.25</doi><tpages>6</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 9781424456932
ispartof 2010 Third International Conference on Advances in Computer-Human Interactions, 2010, p.1-6
issn
language eng
recordid cdi_ieee_primary_5430131
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Cognition
Cognitive robotics
Collaboration
Computer aided instruction
human-robot interaction
Humans
Mobile robots
mode confusion
Natural languages
Navigation
qualitative spatial representation and reasoning
Robot control
Robotics and automation
user focus
title Qualitative Spatial Modelling of Human Route Instructions to Mobile Robots
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-09-22T11%3A41%3A09IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Qualitative%20Spatial%20Modelling%20of%20Human%20Route%20Instructions%20to%20Mobile%20Robots&rft.btitle=2010%20Third%20International%20Conference%20on%20Advances%20in%20Computer-Human%20Interactions&rft.au=Hui%20Shi&rft.date=2010-02&rft.spage=1&rft.epage=6&rft.pages=1-6&rft.isbn=9781424456932&rft.isbn_list=1424456932&rft_id=info:doi/10.1109/ACHI.2010.25&rft.eisbn=1424456940&rft.eisbn_list=9781424456949&rft.eisbn_list=9780769539577&rft.eisbn_list=0769539572&rft_dat=%3Cieee_6IE%3E5430131%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i175t-e8d41289c27505013fea112bb073088ca6fea2b4d0ab627c3d2d67da3d2c25833%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5430131&rfr_iscdi=true