Trails–An Interactive Web History Visualization and Tagging Tool

Yu, Wenhui; Ingalls, Todd

doi:10.1007/978-3-642-21708-1_10

Cited by 6 publications

(5 citation statements)

References 9 publications

(11 reference statements)

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“…In a similar fashion, desktop computer usage can be tracked and analysed seeking possible predictors of moods and wellbeing. Digital usage tracker software aimed at increasing productivity started to come to market in the past years, e.g., RescueTime in 2007 [23] and ManicTime in 2008 [24]. Although they have been created for consumer use -to help computer users reflect on how they spend their digital time, these applications can facilitate data collection for research.…”

Section: Related Workmentioning

confidence: 99%

Doing and Feeling: Relationships Between Moods, Productivity and Task-Switching

Alibasa

Purwanto

Yacef

et al. 2022

IEEE Trans. Affective Comput.

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Digital technology influences behaviours, moods and wellbeing. The relationships are complex, but users are increasingly interested in finding how to balance a digital life with psychological wellbeing. We describe MindGauge, a mobile app that helps users collect and analyse data about moods and behaviours. In this study, we collected computer and smartphone usage and self-reports from 72 participants by using MindGauge and RescueTime. We examined the relationship between productivity, task-switching, mood and lifestyle. The results show that a measure of productivity is positively correlated with task-switching occurrences. Also, that more task-switching is associated with negative moods. A few lifestyle aspects, such as sleep quality, have a significant relationship with task-switching and productivity. We also contribute a mood detection model that utilise both digital footprints and lifestyle contexts, yielding a 87% accuracy. The study provides new results, and tools, to understand the impact of technology on wellbeing.

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Section: Related Workmentioning

confidence: 99%

Doing and Feeling: Relationships Between Moods, Productivity and Task-Switching

Alibasa

Purwanto

Yacef

et al. 2022

IEEE Trans. Affective Comput.

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“…TRAILS (Yu and Ingalls, 2011) is a more complex visualization that combines browsing frequency, favicons, time, connections, tags defined by users and sorting functions. It uses creative visual cues to show users their browsing frequency, connections among visited websites and category of the browsing history with intuitive, unobtrusive representations and minimal cognitive load.…”

Section: Related Workmentioning

confidence: 99%

Personal Web Library: organizing and visualizing Web browsing history

Qian

Parsons

et al. 2018

IJWIS

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Purpose Modern Web browsers all provide a history function that allows users to see a list of URLs they have visited in chronological order. The history log contains rich information but is seldom used because of the tedious nature of scrolling through long lists. This paper aims to propose a new way to improve users’ Web browsing experience by analyzing, clustering and visualizing their browsing history. Design/methodology/approach The authors developed a system called Personal Web Library to help users develop awareness of and understand their Web browsing patterns, identify their topics of interest and retrieve previously visited Web pages more easily. Findings User testing showed that this system is usable and attractive. It found that users can easily see patterns and trends at different time granularities, recall pages from the past and understand the local context of a browsing session. Its flexibility provides users with much more information than the traditional history function in modern Web browsers. Participants in the study gained an improved awareness of their Web browsing patterns. Participants mentioned that they were willing to improve their time management after viewing their browsing patterns. Practical implications As more and more daily activities rely on the internet and Web browsers, browsing data captures a large part of users’ lives. Providing users with interactive visualizations of their browsing history can facilitate personal information management, time management and other meta-level activities. Originality/value This paper aims to help users gain insights into and improve their Web browsing experience, the authors hope that the work they conducted can spur more research contributions in this underdeveloped yet important area.

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“…A slightly di↵erent 2D space-filling solution is o↵ered by the Trails plugin [28] that supports a hierarchical, chronological and group-based representation of the visited pages. Furthermore, it o↵ers a statistical overview of the most often visited Web sites.…”

Section: Related Researchmentioning

confidence: 99%

An Interactive Visualization for Tabbed Browsing Behavior Analysis

Cernea

Truderung

Kerren

et al. 2014

Communications in Computer and Information Science

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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 this paper we introduce WebComets, an interactive visualization for exploring multi-session multi-user parallel browsing logs. After highlighting visual and functional aspects of the system, we introduce a motif-based contextual search for enabling the filtering and comparison of user navigation patterns. We further highlight the functionality of WebComets with a use case. Our investigations suggest that parallel browser history visualization can o↵er better insight into user tabbed browsing behavior and support the recognition of online navigation patterns.

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Trails–An Interactive Web History Visualization and Tagging Tool

Cited by 6 publications

References 9 publications

Doing and Feeling: Relationships Between Moods, Productivity and Task-Switching

Doing and Feeling: Relationships Between Moods, Productivity and Task-Switching

Personal Web Library: organizing and visualizing Web browsing history

An Interactive Visualization for Tabbed Browsing Behavior Analysis

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