Contextual usage patterns in smartphone communication services
The mobile end user context has received a lot of attention from the mobile services industry lately. The location-based and context-sensitive information that are characteristic for smartphones can be utilized to study the use context of mobile end users. Accordingly, this article utilizes handset-...
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Veröffentlicht in: | Personal and ubiquitous computing 2013-03, Vol.17 (3), p.491-502 |
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description | The mobile end user context has received a lot of attention from the mobile services industry lately. The location-based and context-sensitive information that are characteristic for smartphones can be utilized to study the use context of mobile end users. Accordingly, this article utilizes handset-based data in analyzing how the context of use affects the usage of smartphone communication services. The context is identified with an algorithm utilizing mobile network cell ID and WLAN data and resulting in five place-related contexts, namely
Home
,
Office
,
Other meaningful
,
Elsewhere
and
Abroad
. According to our analysis, voice calls are used least intensively in the
Home
context where the length of the voice calls is the longest, however. Email and SMS are used most intensively in the
Office
context, where the voice calls are the shortest in duration. Finally, mobile IM/VoIP and social media services are more free-time oriented as they are used most intensively in
Elsewhere
and
Other meaningful
contexts. The findings imply that people use smartphone communication services differently depending on the use context. However, context can be defined and identified in a number of ways, and this article presents only one solution that is highly dependent on the type of data collected. |
doi_str_mv | 10.1007/s00779-011-0503-0 |
format | Article |
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Home
,
Office
,
Other meaningful
,
Elsewhere
and
Abroad
. According to our analysis, voice calls are used least intensively in the
Home
context where the length of the voice calls is the longest, however. Email and SMS are used most intensively in the
Office
context, where the voice calls are the shortest in duration. Finally, mobile IM/VoIP and social media services are more free-time oriented as they are used most intensively in
Elsewhere
and
Other meaningful
contexts. The findings imply that people use smartphone communication services differently depending on the use context. However, context can be defined and identified in a number of ways, and this article presents only one solution that is highly dependent on the type of data collected.</description><identifier>ISSN: 1617-4909</identifier><identifier>EISSN: 1617-4917</identifier><identifier>DOI: 10.1007/s00779-011-0503-0</identifier><language>eng</language><publisher>London: Springer-Verlag</publisher><subject>Applied sciences ; Communications networks ; Computer Science ; Computer science; control theory; systems ; Computer systems and distributed systems. User interface ; Data collection ; Email ; End users ; Equipments and installations ; Exact sciences and technology ; Message passing ; Mobile Computing ; Mobile radiocommunication systems ; Offices ; Original Article ; Personal Computing ; Programming languages ; Radiocommunications ; Service industries ; Smartphones ; Software ; Telecommunications ; Telecommunications and information theory ; User Interfaces and Human Computer Interaction ; Voice ; VoIP (protocol) ; Wireless communication</subject><ispartof>Personal and ubiquitous computing, 2013-03, Vol.17 (3), p.491-502</ispartof><rights>Springer-Verlag London Limited 2011</rights><rights>2014 INIST-CNRS</rights><rights>Springer-Verlag London 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c379t-e399c62d1fd040408891fa65f5e0058b51300a0ccfe6d868dfd7c0708450fb873</citedby><cites>FETCH-LOGICAL-c379t-e399c62d1fd040408891fa65f5e0058b51300a0ccfe6d868dfd7c0708450fb873</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00779-011-0503-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00779-011-0503-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27618390$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Karikoski, Juuso</creatorcontrib><creatorcontrib>Soikkeli, Tapio</creatorcontrib><title>Contextual usage patterns in smartphone communication services</title><title>Personal and ubiquitous computing</title><addtitle>Pers Ubiquit Comput</addtitle><description>The mobile end user context has received a lot of attention from the mobile services industry lately. The location-based and context-sensitive information that are characteristic for smartphones can be utilized to study the use context of mobile end users. Accordingly, this article utilizes handset-based data in analyzing how the context of use affects the usage of smartphone communication services. The context is identified with an algorithm utilizing mobile network cell ID and WLAN data and resulting in five place-related contexts, namely
Home
,
Office
,
Other meaningful
,
Elsewhere
and
Abroad
. According to our analysis, voice calls are used least intensively in the
Home
context where the length of the voice calls is the longest, however. Email and SMS are used most intensively in the
Office
context, where the voice calls are the shortest in duration. Finally, mobile IM/VoIP and social media services are more free-time oriented as they are used most intensively in
Elsewhere
and
Other meaningful
contexts. The findings imply that people use smartphone communication services differently depending on the use context. However, context can be defined and identified in a number of ways, and this article presents only one solution that is highly dependent on the type of data collected.</description><subject>Applied sciences</subject><subject>Communications networks</subject><subject>Computer Science</subject><subject>Computer science; control theory; systems</subject><subject>Computer systems and distributed systems. User interface</subject><subject>Data collection</subject><subject>Email</subject><subject>End users</subject><subject>Equipments and installations</subject><subject>Exact sciences and technology</subject><subject>Message passing</subject><subject>Mobile Computing</subject><subject>Mobile radiocommunication systems</subject><subject>Offices</subject><subject>Original Article</subject><subject>Personal Computing</subject><subject>Programming languages</subject><subject>Radiocommunications</subject><subject>Service industries</subject><subject>Smartphones</subject><subject>Software</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>User Interfaces and Human Computer Interaction</subject><subject>Voice</subject><subject>VoIP (protocol)</subject><subject>Wireless communication</subject><issn>1617-4909</issn><issn>1617-4917</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kE1LxDAQhoMouK7-AG8FEbxUJ02bj4sgi1-w4EXPIZsma5c2rUkq-u_N0mURQQZmBuaZl5kXoXMM1xiA3YSUmMgB4xwqIDkcoBmmmOWlwOxw34M4RichbAAwoyWdodtF76L5iqNqszGotckGFaPxLmSNy0KnfBzee2cy3Xfd6BqtYtOngfGfjTbhFB1Z1QZztqtz9PZw_7p4ypcvj8-Lu2WuCRMxN0QITYsa2xrKFJwLbBWtbGUAKr6qMAFQoLU1tOaU17ZmGhjwsgK74ozM0dWkO_j-YzQhyq4J2rStcqYfg8SkSEGo4Am9-INu-tG7dF2ioOC8KFmRKDxR2vcheGPl4Jv07bfEILeOyslRmRyVW0clpJ3LnbIKWrXWK6ebsF8sGMWciC1XTFxII7c2_tcF_4r_AAyBhK0</recordid><startdate>20130301</startdate><enddate>20130301</enddate><creator>Karikoski, Juuso</creator><creator>Soikkeli, Tapio</creator><general>Springer-Verlag</general><general>Springer</general><general>Springer Nature B.V</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7XB</scope><scope>8AL</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>P5Z</scope><scope>P62</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PKEHL</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>20130301</creationdate><title>Contextual usage patterns in smartphone communication services</title><author>Karikoski, Juuso ; Soikkeli, Tapio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c379t-e399c62d1fd040408891fa65f5e0058b51300a0ccfe6d868dfd7c0708450fb873</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Applied sciences</topic><topic>Communications networks</topic><topic>Computer Science</topic><topic>Computer science; control theory; systems</topic><topic>Computer systems and distributed systems. User interface</topic><topic>Data collection</topic><topic>Email</topic><topic>End users</topic><topic>Equipments and installations</topic><topic>Exact sciences and technology</topic><topic>Message passing</topic><topic>Mobile Computing</topic><topic>Mobile radiocommunication systems</topic><topic>Offices</topic><topic>Original Article</topic><topic>Personal Computing</topic><topic>Programming languages</topic><topic>Radiocommunications</topic><topic>Service industries</topic><topic>Smartphones</topic><topic>Software</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><topic>User Interfaces and Human Computer Interaction</topic><topic>Voice</topic><topic>VoIP (protocol)</topic><topic>Wireless communication</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Karikoski, Juuso</creatorcontrib><creatorcontrib>Soikkeli, Tapio</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Computing Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Personal and ubiquitous computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Karikoski, Juuso</au><au>Soikkeli, Tapio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Contextual usage patterns in smartphone communication services</atitle><jtitle>Personal and ubiquitous computing</jtitle><stitle>Pers Ubiquit Comput</stitle><date>2013-03-01</date><risdate>2013</risdate><volume>17</volume><issue>3</issue><spage>491</spage><epage>502</epage><pages>491-502</pages><issn>1617-4909</issn><eissn>1617-4917</eissn><abstract>The mobile end user context has received a lot of attention from the mobile services industry lately. The location-based and context-sensitive information that are characteristic for smartphones can be utilized to study the use context of mobile end users. Accordingly, this article utilizes handset-based data in analyzing how the context of use affects the usage of smartphone communication services. The context is identified with an algorithm utilizing mobile network cell ID and WLAN data and resulting in five place-related contexts, namely
Home
,
Office
,
Other meaningful
,
Elsewhere
and
Abroad
. According to our analysis, voice calls are used least intensively in the
Home
context where the length of the voice calls is the longest, however. Email and SMS are used most intensively in the
Office
context, where the voice calls are the shortest in duration. Finally, mobile IM/VoIP and social media services are more free-time oriented as they are used most intensively in
Elsewhere
and
Other meaningful
contexts. The findings imply that people use smartphone communication services differently depending on the use context. However, context can be defined and identified in a number of ways, and this article presents only one solution that is highly dependent on the type of data collected.</abstract><cop>London</cop><pub>Springer-Verlag</pub><doi>10.1007/s00779-011-0503-0</doi><tpages>12</tpages></addata></record> |
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subjects | Applied sciences Communications networks Computer Science Computer science control theory systems Computer systems and distributed systems. User interface Data collection End users Equipments and installations Exact sciences and technology Message passing Mobile Computing Mobile radiocommunication systems Offices Original Article Personal Computing Programming languages Radiocommunications Service industries Smartphones Software Telecommunications Telecommunications and information theory User Interfaces and Human Computer Interaction Voice VoIP (protocol) Wireless communication |
title | Contextual usage patterns in smartphone communication services |
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