2014
DOI: 10.1007/978-3-662-45944-7_5
|View full text |Cite
|
Sign up to set email alerts
|

An Interactive Visualization for Tabbed Browsing Behavior Analysis

Abstract: Web browsers are at the core of online user experience, enabling a wide range of Web applications, like communication, games, entertainment , development, etc. Additionally, given the variety and complexity of online-supported tasks, users have started parallelizing and organizing their online browser sessions by employing multiple browser windows and tabs. However, there are few solutions that support analysts and casual users in detecting and extracting patterns from these parallel browsing histories. In thi… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
1
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(4 citation statements)
references
References 22 publications
0
1
0
Order By: Relevance
“…QueryCrumbs in contrast focuses on exploitation of the user's own history. While WebComets [20] builds on the user's own history and visualizes web-page visits as glyphs, encoding topically coherent pages via the same color, the focus is on parallel browsing and dwell times. Komlodi et al present design guidelines and examples for search history visualization based on a study with librarians [21], [22].…”
Section: B Search Results and History Visualizationmentioning
confidence: 99%
“…QueryCrumbs in contrast focuses on exploitation of the user's own history. While WebComets [20] builds on the user's own history and visualizes web-page visits as glyphs, encoding topically coherent pages via the same color, the focus is on parallel browsing and dwell times. Komlodi et al present design guidelines and examples for search history visualization based on a study with librarians [21], [22].…”
Section: B Search Results and History Visualizationmentioning
confidence: 99%
“…However, it has been of greater interest to researchers to find different patterns based on temporal visit trajectories. An efficient examination of browser histories allows one to retrospectively study users' behaviour on the Web (Cernea et al, 2013).…”
Section: (1) 125-134mentioning
confidence: 99%
“…Também foi encontrada a utilizac ¸ão de linhas do tempo com m últiplas faixas para visualizar navegac ¸ões concorrentes [Cernea et al 2014] e uma visualizac ¸ão resultante da sobreposic ¸ão de pontos e linhas para observar eventos contínuos (linhas) concomitantes a eventos discretos (pontos) [Ebel et al 2021 Tabela 1. Tipos de gr áficos encontrados na literatura.…”
Section: Quais São Os Tipos De Visualizac ¸õEs Utilizadas?unclassified
“…velocidade de scroll) [Soure et al 2022]. Também é possível explorar a trajetória de navegac ¸ão do usuário pelas telas de um software [Ebel et al 2021] ou por páginas web [Cernea et al 2014]. Os dados de navegac ¸ão podem ser associados a dados de rastreamento ocular, como: campo de visão [Ebel et al 2021]; pontos de fixac ¸ão [Da Silva Franco et al 2019]; tempo e frequência de fixac ¸ão [Göbel et al 2019, Móro et al 2014; tipo de movimentac ¸ão ocular [Goodwin et al 2022]; e trajetória do olhar combinada à intensidade, cor e orientac ¸ão das regiões de fixac ¸ão [Yoo et al 2021].…”
Section: Quais Dados São Explorados Pelas Visualizac ¸õEs?unclassified