Supporting exploratory search with a visual user-driven approach
- Autores
- Di Sciascio, Maria Cecilia; Sabol, Vedran; Veas, Eduardo Enrique
- Año de publicación
- 2017
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Whenever users engage in gathering and organizing new information, searching and browsing activities emerge at the core of the exploration process. As the process unfolds and new knowledge is acquired, interest drifts occur inevitably and need to be accounted for. Despite the advances in retrieval and recommender algorithms, real-world interfaces have remained largely unchanged: results are delivered in a relevance-ranked list. However, it quickly becomes cumbersome to reorganize resources along new interests, as any new search brings new results.We introduce an interactive user-driven tool that aims at supporting users in understanding, refining, and reorganizing documents on the fly as information needs evolve. Decisions regarding visual and interactive design aspects are tightly grounded on a conceptual model for exploratory search. In other words, the different views in the user interface address stages of awareness, exploration, and explanation unfolding along the discovery process, supported by a set of text-mining methods. A formal evaluation showed that gathering items relevant to a particular topic of interest with our tool incurs in a lower cognitive load compared to a traditional ranked list. A second study reports on usage patterns and usability of the various interaction techniques within a free, unsupervised setting.
Fil: Di Sciascio, Maria Cecilia. Know-center, Graz; Austria
Fil: Sabol, Vedran. Know-center, Graz; Austria
Fil: Veas, Eduardo Enrique. Universidad Nacional de Cuyo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina - Materia
-
Advanced Search Interface
Exploratory Search
Textual Document Ranking - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/78970
Ver los metadatos del registro completo
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Supporting exploratory search with a visual user-driven approachDi Sciascio, Maria CeciliaSabol, VedranVeas, Eduardo EnriqueAdvanced Search InterfaceExploratory SearchTextual Document Rankinghttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Whenever users engage in gathering and organizing new information, searching and browsing activities emerge at the core of the exploration process. As the process unfolds and new knowledge is acquired, interest drifts occur inevitably and need to be accounted for. Despite the advances in retrieval and recommender algorithms, real-world interfaces have remained largely unchanged: results are delivered in a relevance-ranked list. However, it quickly becomes cumbersome to reorganize resources along new interests, as any new search brings new results.We introduce an interactive user-driven tool that aims at supporting users in understanding, refining, and reorganizing documents on the fly as information needs evolve. Decisions regarding visual and interactive design aspects are tightly grounded on a conceptual model for exploratory search. In other words, the different views in the user interface address stages of awareness, exploration, and explanation unfolding along the discovery process, supported by a set of text-mining methods. A formal evaluation showed that gathering items relevant to a particular topic of interest with our tool incurs in a lower cognitive load compared to a traditional ranked list. A second study reports on usage patterns and usability of the various interaction techniques within a free, unsupervised setting.Fil: Di Sciascio, Maria Cecilia. Know-center, Graz; AustriaFil: Sabol, Vedran. Know-center, Graz; AustriaFil: Veas, Eduardo Enrique. Universidad Nacional de Cuyo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; ArgentinaAssociation for Computing Machinery2017-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/78970Di Sciascio, Maria Cecilia; Sabol, Vedran; Veas, Eduardo Enrique; Supporting exploratory search with a visual user-driven approach; Association for Computing Machinery; ACM Transactions on Interactive Intelligent Systems; 7; 4; 12-2017; 99-99:352160-6455CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1145/3009976info:eu-repo/semantics/altIdentifier/url/https://dl.acm.org/citation.cfm?doid=3166060.3009976info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:07:51Zoai:ri.conicet.gov.ar:11336/78970instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:07:52.122CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Supporting exploratory search with a visual user-driven approach |
title |
Supporting exploratory search with a visual user-driven approach |
spellingShingle |
Supporting exploratory search with a visual user-driven approach Di Sciascio, Maria Cecilia Advanced Search Interface Exploratory Search Textual Document Ranking |
title_short |
Supporting exploratory search with a visual user-driven approach |
title_full |
Supporting exploratory search with a visual user-driven approach |
title_fullStr |
Supporting exploratory search with a visual user-driven approach |
title_full_unstemmed |
Supporting exploratory search with a visual user-driven approach |
title_sort |
Supporting exploratory search with a visual user-driven approach |
dc.creator.none.fl_str_mv |
Di Sciascio, Maria Cecilia Sabol, Vedran Veas, Eduardo Enrique |
author |
Di Sciascio, Maria Cecilia |
author_facet |
Di Sciascio, Maria Cecilia Sabol, Vedran Veas, Eduardo Enrique |
author_role |
author |
author2 |
Sabol, Vedran Veas, Eduardo Enrique |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Advanced Search Interface Exploratory Search Textual Document Ranking |
topic |
Advanced Search Interface Exploratory Search Textual Document Ranking |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.2 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Whenever users engage in gathering and organizing new information, searching and browsing activities emerge at the core of the exploration process. As the process unfolds and new knowledge is acquired, interest drifts occur inevitably and need to be accounted for. Despite the advances in retrieval and recommender algorithms, real-world interfaces have remained largely unchanged: results are delivered in a relevance-ranked list. However, it quickly becomes cumbersome to reorganize resources along new interests, as any new search brings new results.We introduce an interactive user-driven tool that aims at supporting users in understanding, refining, and reorganizing documents on the fly as information needs evolve. Decisions regarding visual and interactive design aspects are tightly grounded on a conceptual model for exploratory search. In other words, the different views in the user interface address stages of awareness, exploration, and explanation unfolding along the discovery process, supported by a set of text-mining methods. A formal evaluation showed that gathering items relevant to a particular topic of interest with our tool incurs in a lower cognitive load compared to a traditional ranked list. A second study reports on usage patterns and usability of the various interaction techniques within a free, unsupervised setting. Fil: Di Sciascio, Maria Cecilia. Know-center, Graz; Austria Fil: Sabol, Vedran. Know-center, Graz; Austria Fil: Veas, Eduardo Enrique. Universidad Nacional de Cuyo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina |
description |
Whenever users engage in gathering and organizing new information, searching and browsing activities emerge at the core of the exploration process. As the process unfolds and new knowledge is acquired, interest drifts occur inevitably and need to be accounted for. Despite the advances in retrieval and recommender algorithms, real-world interfaces have remained largely unchanged: results are delivered in a relevance-ranked list. However, it quickly becomes cumbersome to reorganize resources along new interests, as any new search brings new results.We introduce an interactive user-driven tool that aims at supporting users in understanding, refining, and reorganizing documents on the fly as information needs evolve. Decisions regarding visual and interactive design aspects are tightly grounded on a conceptual model for exploratory search. In other words, the different views in the user interface address stages of awareness, exploration, and explanation unfolding along the discovery process, supported by a set of text-mining methods. A formal evaluation showed that gathering items relevant to a particular topic of interest with our tool incurs in a lower cognitive load compared to a traditional ranked list. A second study reports on usage patterns and usability of the various interaction techniques within a free, unsupervised setting. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-12 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/78970 Di Sciascio, Maria Cecilia; Sabol, Vedran; Veas, Eduardo Enrique; Supporting exploratory search with a visual user-driven approach; Association for Computing Machinery; ACM Transactions on Interactive Intelligent Systems; 7; 4; 12-2017; 99-99:35 2160-6455 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/78970 |
identifier_str_mv |
Di Sciascio, Maria Cecilia; Sabol, Vedran; Veas, Eduardo Enrique; Supporting exploratory search with a visual user-driven approach; Association for Computing Machinery; ACM Transactions on Interactive Intelligent Systems; 7; 4; 12-2017; 99-99:35 2160-6455 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1145/3009976 info:eu-repo/semantics/altIdentifier/url/https://dl.acm.org/citation.cfm?doid=3166060.3009976 |
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info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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openAccess |
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https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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application/pdf application/pdf application/pdf |
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Association for Computing Machinery |
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Association for Computing Machinery |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.070432 |