The Information in Emotion Communication
How much information is transmitted when animals use emotions to communicate? It is clear that emotions are used as communication systems in humans and other species. The quantitative theory of emotion information presented here is based on Shannon's mathematical theory of information in commun...
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| creator | Kerr, Alison Duncan Scharp, Kevin |
| description | How much information is transmitted when animals use emotions to communicate?
It is clear that emotions are used as communication systems in humans and other
species. The quantitative theory of emotion information presented here is based
on Shannon's mathematical theory of information in communication systems. The
theory explains myriad aspects of emotion communication and offers dozens of
new directions for research. It is superior to the "contagion" theory of
emotion spreading, which is currently dominant. One important application of
the information theory of emotion communication is that it permits the
development of emotion security systems for social networks to guard against
the widespread emotion manipulation we see online today. |
| doi_str_mv | 10.48550/arxiv.2002.08470 |
| format | Article |
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It is clear that emotions are used as communication systems in humans and other
species. The quantitative theory of emotion information presented here is based
on Shannon's mathematical theory of information in communication systems. The
theory explains myriad aspects of emotion communication and offers dozens of
new directions for research. It is superior to the "contagion" theory of
emotion spreading, which is currently dominant. One important application of
the information theory of emotion communication is that it permits the
development of emotion security systems for social networks to guard against
the widespread emotion manipulation we see online today.</description><identifier>DOI: 10.48550/arxiv.2002.08470</identifier><language>eng</language><subject>Computer Science - Learning ; Quantitative Biology - Neurons and Cognition ; Quantitative Biology - Populations and Evolution</subject><creationdate>2020-02</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>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2002.08470$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2002.08470$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Kerr, Alison Duncan</creatorcontrib><creatorcontrib>Scharp, Kevin</creatorcontrib><title>The Information in Emotion Communication</title><description>How much information is transmitted when animals use emotions to communicate?
It is clear that emotions are used as communication systems in humans and other
species. The quantitative theory of emotion information presented here is based
on Shannon's mathematical theory of information in communication systems. The
theory explains myriad aspects of emotion communication and offers dozens of
new directions for research. It is superior to the "contagion" theory of
emotion spreading, which is currently dominant. One important application of
the information theory of emotion communication is that it permits the
development of emotion security systems for social networks to guard against
the widespread emotion manipulation we see online today.</description><subject>Computer Science - Learning</subject><subject>Quantitative Biology - Neurons and Cognition</subject><subject>Quantitative Biology - Populations and Evolution</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotjr0OgjAURrs4GPQBnGR0AS-lpWU0BJXExIWdtHAbm1gw9Sf69io6fSf5kpNDyCKBmEnOYa380z5iCkBjkEzAlKzqE4ZVbwbv1M0OfWj7sHTDiMXg3L237XjMyMSo8xXn_w1IvS3rYh8djruq2BwilQmIuGAd8hYSLjgAS5jITcZQCK2zVCUUWyNzg0qLPG8pUt51H5IcAbWUTKcBWf60Y2pz8dYp_2q-yc2YnL4BvJU6vQ</recordid><startdate>20200214</startdate><enddate>20200214</enddate><creator>Kerr, Alison Duncan</creator><creator>Scharp, Kevin</creator><scope>AKY</scope><scope>ALC</scope><scope>GOX</scope></search><sort><creationdate>20200214</creationdate><title>The Information in Emotion Communication</title><author>Kerr, Alison Duncan ; Scharp, Kevin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a670-574de5c015750041479f64e77bb63a12ecf89feab799c2e25dd79985e0eb884b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Computer Science - Learning</topic><topic>Quantitative Biology - Neurons and Cognition</topic><topic>Quantitative Biology - Populations and Evolution</topic><toplevel>online_resources</toplevel><creatorcontrib>Kerr, Alison Duncan</creatorcontrib><creatorcontrib>Scharp, Kevin</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv Quantitative Biology</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kerr, Alison Duncan</au><au>Scharp, Kevin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Information in Emotion Communication</atitle><date>2020-02-14</date><risdate>2020</risdate><abstract>How much information is transmitted when animals use emotions to communicate?
It is clear that emotions are used as communication systems in humans and other
species. The quantitative theory of emotion information presented here is based
on Shannon's mathematical theory of information in communication systems. The
theory explains myriad aspects of emotion communication and offers dozens of
new directions for research. It is superior to the "contagion" theory of
emotion spreading, which is currently dominant. One important application of
the information theory of emotion communication is that it permits the
development of emotion security systems for social networks to guard against
the widespread emotion manipulation we see online today.</abstract><doi>10.48550/arxiv.2002.08470</doi><oa>free_for_read</oa></addata></record> |
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| identifier | DOI: 10.48550/arxiv.2002.08470 |
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| subjects | Computer Science - Learning Quantitative Biology - Neurons and Cognition Quantitative Biology - Populations and Evolution |
| title | The Information in Emotion Communication |
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