A Cognitive Model of Data Retrieval Interaction
ABSTRACT This study introduces and examines the “Multi‐dimensional Interaction‐Attitude‐Usage Model” (MIAU Model), drawing from cross‐disciplinary theories. The MIAU Model proposes dimensions of interactive data retrieval, including resource, technology, context, and dual‐process‐based cognition, an...
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| Veröffentlicht in: | Proceedings of the ASIST Annual Meeting 2023-10, Vol.60 (1), p.1043-1045 |
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| container_title | Proceedings of the ASIST Annual Meeting |
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| creator | Li, Xueyi Li, Qiao Wang, Ping Hou, Jingrui |
| description | ABSTRACT
This study introduces and examines the “Multi‐dimensional Interaction‐Attitude‐Usage Model” (MIAU Model), drawing from cross‐disciplinary theories. The MIAU Model proposes dimensions of interactive data retrieval, including resource, technology, context, and dual‐process‐based cognition, and explores their relationships with user attitude toward systems and usage intention. To test the MIAU Model, a structural equation modeling analysis was conducted on the questionnaire data. The results support the proposed model. The MIAU Model suggests that resources, technology, contexts, and individual characteristics directly impact data searchers' dual‐process‐based cognition. System 1‐based cognition has a direct influence on system 2‐based cognition. Moreover, dual‐process‐based cognition and contexts directly affect attitude and usage intention. Additionally, resources, technology, contexts, and individual characteristics indirectly affect system 2‐based cognition through system 1‐based cognition, and similarly, these factors indirectly influence attitude and usage intention through dual‐process‐based cognition. |
| doi_str_mv | 10.1002/pra2.939 |
| format | Article |
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This study introduces and examines the “Multi‐dimensional Interaction‐Attitude‐Usage Model” (MIAU Model), drawing from cross‐disciplinary theories. The MIAU Model proposes dimensions of interactive data retrieval, including resource, technology, context, and dual‐process‐based cognition, and explores their relationships with user attitude toward systems and usage intention. To test the MIAU Model, a structural equation modeling analysis was conducted on the questionnaire data. The results support the proposed model. The MIAU Model suggests that resources, technology, contexts, and individual characteristics directly impact data searchers' dual‐process‐based cognition. System 1‐based cognition has a direct influence on system 2‐based cognition. Moreover, dual‐process‐based cognition and contexts directly affect attitude and usage intention. Additionally, resources, technology, contexts, and individual characteristics indirectly affect system 2‐based cognition through system 1‐based cognition, and similarly, these factors indirectly influence attitude and usage intention through dual‐process‐based cognition.</description><identifier>ISSN: 2373-9231</identifier><identifier>EISSN: 2373-9231</identifier><identifier>EISSN: 1550-8390</identifier><identifier>DOI: 10.1002/pra2.939</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Attitudes ; Cognition ; Cognitive model ; Data retrieval ; Data search ; Dual process ; Interactive data retrieval ; Multivariate statistical analysis ; Multi‐dimensional interaction</subject><ispartof>Proceedings of the ASIST Annual Meeting, 2023-10, Vol.60 (1), p.1043-1045</ispartof><rights>86 Annual Meeting of the Association for Information Science & Technology | Oct. 27 – 31, 2023 | London, United Kingdom. Author(s) retain copyright, but ASIS&T receives an exclusive publication license.</rights><rights>2023 ASIS&T</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1339-d0a17d5c58cc7ebd32783edd67fab37c2e956aed34a32afef7f144ad8d4491353</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Li, Xueyi</creatorcontrib><creatorcontrib>Li, Qiao</creatorcontrib><creatorcontrib>Wang, Ping</creatorcontrib><creatorcontrib>Hou, Jingrui</creatorcontrib><title>A Cognitive Model of Data Retrieval Interaction</title><title>Proceedings of the ASIST Annual Meeting</title><description>ABSTRACT
This study introduces and examines the “Multi‐dimensional Interaction‐Attitude‐Usage Model” (MIAU Model), drawing from cross‐disciplinary theories. The MIAU Model proposes dimensions of interactive data retrieval, including resource, technology, context, and dual‐process‐based cognition, and explores their relationships with user attitude toward systems and usage intention. To test the MIAU Model, a structural equation modeling analysis was conducted on the questionnaire data. The results support the proposed model. The MIAU Model suggests that resources, technology, contexts, and individual characteristics directly impact data searchers' dual‐process‐based cognition. System 1‐based cognition has a direct influence on system 2‐based cognition. Moreover, dual‐process‐based cognition and contexts directly affect attitude and usage intention. Additionally, resources, technology, contexts, and individual characteristics indirectly affect system 2‐based cognition through system 1‐based cognition, and similarly, these factors indirectly influence attitude and usage intention through dual‐process‐based cognition.</description><subject>Attitudes</subject><subject>Cognition</subject><subject>Cognitive model</subject><subject>Data retrieval</subject><subject>Data search</subject><subject>Dual process</subject><subject>Interactive data retrieval</subject><subject>Multivariate statistical analysis</subject><subject>Multi‐dimensional interaction</subject><issn>2373-9231</issn><issn>2373-9231</issn><issn>1550-8390</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp10E1Lw0AQgOFFFCy14E8IePGSdr-SzR5L_SpUlKLnZbo7KykxGzdppf_ehHjw4mnm8DADLyHXjM4ZpXzRROBzLfQZmXChRKq5YOd_9ksya9s9pZRJledcT8himazCR1125RGT5-CwSoJP7qCDZItdLPEIVbKuO4xguzLUV-TCQ9Xi7HdOyfvD_dvqKd28PK5Xy01qmRA6dRSYcpnNCmsV7pzgqhDoXK487ISyHHWWAzohQXDw6JVnUoIrnJSaiUxMyc14t4nh64BtZ_bhEOv-peGF0krmecZ7dTsqG0PbRvSmieUnxJNh1AxFzFDE9EV6mo70u6zw9K8zr9slH_wP0ZFgRg</recordid><startdate>202310</startdate><enddate>202310</enddate><creator>Li, Xueyi</creator><creator>Li, Qiao</creator><creator>Wang, Ping</creator><creator>Hou, Jingrui</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>JQ2</scope></search><sort><creationdate>202310</creationdate><title>A Cognitive Model of Data Retrieval Interaction</title><author>Li, Xueyi ; Li, Qiao ; Wang, Ping ; Hou, Jingrui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1339-d0a17d5c58cc7ebd32783edd67fab37c2e956aed34a32afef7f144ad8d4491353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Attitudes</topic><topic>Cognition</topic><topic>Cognitive model</topic><topic>Data retrieval</topic><topic>Data search</topic><topic>Dual process</topic><topic>Interactive data retrieval</topic><topic>Multivariate statistical analysis</topic><topic>Multi‐dimensional interaction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Xueyi</creatorcontrib><creatorcontrib>Li, Qiao</creatorcontrib><creatorcontrib>Wang, Ping</creatorcontrib><creatorcontrib>Hou, Jingrui</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Computer Science Collection</collection><jtitle>Proceedings of the ASIST Annual Meeting</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Xueyi</au><au>Li, Qiao</au><au>Wang, Ping</au><au>Hou, Jingrui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Cognitive Model of Data Retrieval Interaction</atitle><jtitle>Proceedings of the ASIST Annual Meeting</jtitle><date>2023-10</date><risdate>2023</risdate><volume>60</volume><issue>1</issue><spage>1043</spage><epage>1045</epage><pages>1043-1045</pages><issn>2373-9231</issn><eissn>2373-9231</eissn><eissn>1550-8390</eissn><abstract>ABSTRACT
This study introduces and examines the “Multi‐dimensional Interaction‐Attitude‐Usage Model” (MIAU Model), drawing from cross‐disciplinary theories. The MIAU Model proposes dimensions of interactive data retrieval, including resource, technology, context, and dual‐process‐based cognition, and explores their relationships with user attitude toward systems and usage intention. To test the MIAU Model, a structural equation modeling analysis was conducted on the questionnaire data. The results support the proposed model. The MIAU Model suggests that resources, technology, contexts, and individual characteristics directly impact data searchers' dual‐process‐based cognition. System 1‐based cognition has a direct influence on system 2‐based cognition. Moreover, dual‐process‐based cognition and contexts directly affect attitude and usage intention. Additionally, resources, technology, contexts, and individual characteristics indirectly affect system 2‐based cognition through system 1‐based cognition, and similarly, these factors indirectly influence attitude and usage intention through dual‐process‐based cognition.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1002/pra2.939</doi><tpages>3</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Attitudes Cognition Cognitive model Data retrieval Data search Dual process Interactive data retrieval Multivariate statistical analysis Multi‐dimensional interaction |
| title | A Cognitive Model of Data Retrieval Interaction |
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