That and There: Judging the Intent of Pointing Actions with Robotic Arms
Collaborative robotics requires effective communication between a robot and a human partner. This work proposes a set of interpretive principles for how a robotic arm can use pointing actions to communicate task information to people by extending existing models from the related literature. These pr...
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creator | Alikhani, Malihe Khalid, Baber Shome, Rahul Mitash, Chaitanya Bekris, Kostas Stone, Matthew |
description | Collaborative robotics requires effective communication between a robot and a
human partner. This work proposes a set of interpretive principles for how a
robotic arm can use pointing actions to communicate task information to people
by extending existing models from the related literature. These principles are
evaluated through studies where English-speaking human subjects view animations
of simulated robots instructing pick-and-place tasks. The evaluation
distinguishes two classes of pointing actions that arise in pick-and-place
tasks: referential pointing (identifying objects) and locating pointing
(identifying locations). The study indicates that human subjects show greater
flexibility in interpreting the intent of referential pointing compared to
locating pointing, which needs to be more deliberate. The results also
demonstrate the effects of variation in the environment and task context on the
interpretation of pointing. Our corpus, experiments and design principles
advance models of context, common sense reasoning and communication in embodied
communication. |
doi_str_mv | 10.48550/arxiv.1912.06602 |
format | Article |
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human partner. This work proposes a set of interpretive principles for how a
robotic arm can use pointing actions to communicate task information to people
by extending existing models from the related literature. These principles are
evaluated through studies where English-speaking human subjects view animations
of simulated robots instructing pick-and-place tasks. The evaluation
distinguishes two classes of pointing actions that arise in pick-and-place
tasks: referential pointing (identifying objects) and locating pointing
(identifying locations). The study indicates that human subjects show greater
flexibility in interpreting the intent of referential pointing compared to
locating pointing, which needs to be more deliberate. The results also
demonstrate the effects of variation in the environment and task context on the
interpretation of pointing. Our corpus, experiments and design principles
advance models of context, common sense reasoning and communication in embodied
communication.</description><identifier>DOI: 10.48550/arxiv.1912.06602</identifier><language>eng</language><subject>Computer Science - Artificial Intelligence ; Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Human-Computer Interaction ; Computer Science - Robotics</subject><creationdate>2019-12</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/1912.06602$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.1912.06602$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Alikhani, Malihe</creatorcontrib><creatorcontrib>Khalid, Baber</creatorcontrib><creatorcontrib>Shome, Rahul</creatorcontrib><creatorcontrib>Mitash, Chaitanya</creatorcontrib><creatorcontrib>Bekris, Kostas</creatorcontrib><creatorcontrib>Stone, Matthew</creatorcontrib><title>That and There: Judging the Intent of Pointing Actions with Robotic Arms</title><description>Collaborative robotics requires effective communication between a robot and a
human partner. This work proposes a set of interpretive principles for how a
robotic arm can use pointing actions to communicate task information to people
by extending existing models from the related literature. These principles are
evaluated through studies where English-speaking human subjects view animations
of simulated robots instructing pick-and-place tasks. The evaluation
distinguishes two classes of pointing actions that arise in pick-and-place
tasks: referential pointing (identifying objects) and locating pointing
(identifying locations). The study indicates that human subjects show greater
flexibility in interpreting the intent of referential pointing compared to
locating pointing, which needs to be more deliberate. The results also
demonstrate the effects of variation in the environment and task context on the
interpretation of pointing. Our corpus, experiments and design principles
advance models of context, common sense reasoning and communication in embodied
communication.</description><subject>Computer Science - Artificial Intelligence</subject><subject>Computer Science - Computer Vision and Pattern Recognition</subject><subject>Computer Science - Human-Computer Interaction</subject><subject>Computer Science - Robotics</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotz0tOwzAUhWFPGKDCAhhxN5BgXzuOwyyqKC2qBEKZR45jN5aojRyXx-77gNGR_sGRPkLuGC2Fqir6oNOP_ypZw7CkUlK8Jutu0hl0GKGbbLKP8HIYdz7sIE8WNiHbkCE6eIs-5HNuTfYxzPDt8wTvcYjZG2jTfr4hV05_zPb2fxekWz11y3WxfX3eLNttoWWNhVOcMTVI4aRUzlT1KFCZyvCxQT4wI9RgbY2IlJnGWY4Nr42Q-pQYCsb5gtz_3V4o_Wfye51--zOpv5D4EbhSRLg</recordid><startdate>20191213</startdate><enddate>20191213</enddate><creator>Alikhani, Malihe</creator><creator>Khalid, Baber</creator><creator>Shome, Rahul</creator><creator>Mitash, Chaitanya</creator><creator>Bekris, Kostas</creator><creator>Stone, Matthew</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20191213</creationdate><title>That and There: Judging the Intent of Pointing Actions with Robotic Arms</title><author>Alikhani, Malihe ; Khalid, Baber ; Shome, Rahul ; Mitash, Chaitanya ; Bekris, Kostas ; Stone, Matthew</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a672-f83118b64f668fc57d428c5c3d923b1c48bee722201c9fe32937c46a722124133</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Computer Science - Artificial Intelligence</topic><topic>Computer Science - Computer Vision and Pattern Recognition</topic><topic>Computer Science - Human-Computer Interaction</topic><topic>Computer Science - Robotics</topic><toplevel>online_resources</toplevel><creatorcontrib>Alikhani, Malihe</creatorcontrib><creatorcontrib>Khalid, Baber</creatorcontrib><creatorcontrib>Shome, Rahul</creatorcontrib><creatorcontrib>Mitash, Chaitanya</creatorcontrib><creatorcontrib>Bekris, Kostas</creatorcontrib><creatorcontrib>Stone, Matthew</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Alikhani, Malihe</au><au>Khalid, Baber</au><au>Shome, Rahul</au><au>Mitash, Chaitanya</au><au>Bekris, Kostas</au><au>Stone, Matthew</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>That and There: Judging the Intent of Pointing Actions with Robotic Arms</atitle><date>2019-12-13</date><risdate>2019</risdate><abstract>Collaborative robotics requires effective communication between a robot and a
human partner. This work proposes a set of interpretive principles for how a
robotic arm can use pointing actions to communicate task information to people
by extending existing models from the related literature. These principles are
evaluated through studies where English-speaking human subjects view animations
of simulated robots instructing pick-and-place tasks. The evaluation
distinguishes two classes of pointing actions that arise in pick-and-place
tasks: referential pointing (identifying objects) and locating pointing
(identifying locations). The study indicates that human subjects show greater
flexibility in interpreting the intent of referential pointing compared to
locating pointing, which needs to be more deliberate. The results also
demonstrate the effects of variation in the environment and task context on the
interpretation of pointing. Our corpus, experiments and design principles
advance models of context, common sense reasoning and communication in embodied
communication.</abstract><doi>10.48550/arxiv.1912.06602</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition Computer Science - Human-Computer Interaction Computer Science - Robotics |
title | That and There: Judging the Intent of Pointing Actions with Robotic Arms |
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