Interactive hypervideo visualization for browsing behavior analysis

Leiva, Luis A.; Vivó, Roberto

doi:10.1145/2187980.2188054

Cited by 6 publications

(5 citation statements)

References 6 publications

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“…There were 22 1 participants (9 females, 13 males), free from any obvious physical or sensory impairment, through a campus-wide ad. Participants aged from 18 to 47 and were of mixed ethnicity.…”

Section: Participantsmentioning

confidence: 99%

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Understanding Within-Content Engagement through Pattern Analysis of Mouse Gestures

Arapakis

Lalmas

Valkanas

2014

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management

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The availability of large volumes of interaction data and scalable data mining techniques have made possible to study the online behaviour for millions of Web users. Part of the efforts have focused on understanding how users interact and engage with web content. However, the measurement of within-content engagement remains a difficult and unsolved task. This is because of the lack of standardised, wellvalidated methods for measuring engagement, especially in an online context. To address this gap, we perform a controlled user study where we observe how users respond to online news in the presence or lack of interest. We collect mouse tracking data, which are known to correlate with visual attention, and examine how cursor behaviour can inform user engagement measures. The proposed method does not use any pre-determined concepts to characterise the cursor patterns. We, rather, follow an unsupervised approach and use a large set of features engineered from our data to extract the cursor patterns. Our findings support the connection between gaze and cursor behaviour but also, and more importantly, reveal other dependencies, such as the correlation between cursor activity and experienced affect. Finally, we demonstrate the value of our method by predicting the outcome of online news reading experiences.

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Section: Participantsmentioning

confidence: 99%

“…Mouse Tracking: We used smt2 [22], an open source, client-server architecture mouse tracking tool. The smt2 uses JavaScript to log mouse and browser-related events at a configurable frequency, and stores the data at fixed-time intervals.…”

Section: Measures Of Engagementmentioning

confidence: 99%

Understanding Within-Content Engagement through Pattern Analysis of Mouse Gestures

Arapakis

Lalmas

Valkanas

2014

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management

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“…Recent advancements in the use of hypervideo, applied to the analysis of users' behaviours in web navigation, suggest that interactive hypervideo visualisations can improve understanding, by incorporating the temporal information in the rendering of the visual analytics (Leiva and Vivó, 2012). This result shows promise in the use of interactive visualisations as tools to improve hypervideo interactions.…”

Section: New Television Experiences For Political Sensemaking: Interactive Hypervideo Visualisationsmentioning

confidence: 94%

Let's replay the political debate: Hypervideo technology for visual sensemaking of televised election debates

Liddo¹,

Souto

Plüss³

2021

International Journal of Human-Computer Studies

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Despite the widespread proliferation of social media in policy and politics, televised election debates are still a prominent form of large-scale public engagement between politicians and the electorate during election campaigns. Advanced visual interfaces can improve these important spaces of democratic engagement. In this paper, we present a user study in which a new hypervideo technology was compared with a publicly available interface for television replay. The results show that hypervideo navigation, coupled with interactive visualisations, improved sensemaking of televised political debates and promoted people's attitude to challenging personal assumptions. This finding suggests that hypervideo interfaces can play a substantial role in supporting citizens in the complex sensemaking process of informing their political choices during an election campaign, and can be used as instruments to promote critical thinking and political opinion shifting.

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“…With these ideas in mind, we developed SMT2ǫ, a general purpose tracking tool for understanding web browsing behavior. SMT2ǫ is a significant continuation of our previous work, SMT2 [Leiva and Vivó 2012], with a solid focus on better recording and hypervideo-based visualization capabilities.…”

Section: Introductionmentioning

confidence: 92%

Web browsing behavior analysis and interactive hypervideo

Leiva

Vivó

2013

ACM Trans. Web

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Processing user interaction data is well-known to be cumbersome and mostly time-consuming, specially when it comes to web browsing behavior analysis. Current tools usually display user interactions as mouse cursor tracks, a video-like visualization scheme that allows researchers to easily inspect what is going on behind the gathered data. However, to date, traditional online video inspection has not explored the full capabilities of hypermedia and interactive techniques. In response to this need, we have developed SMT2ǫ, a web-based tracking system to analyze browsing behavior using feature-rich hypervideo visualizations. We compare our system to related work in academia and industry, showing that ours features unprecedented visualization capabilities. We also show that SMT2ǫ efficiently captures browsing data, and is perceived to be helpful and easy to use. A series of prediction experiments illustrate that raw cursor data are both accessible and easily manipulable, providing evidence that the data can be used to construct and verify hypotheses. Considering its limitations, it is our hope that SMT2ǫ will assist researchers, usability practitioners, and other professionals interested in understanding how users browse the Web.

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Interactive hypervideo visualization for browsing behavior analysis

Cited by 6 publications

References 6 publications

Understanding Within-Content Engagement through Pattern Analysis of Mouse Gestures

Understanding Within-Content Engagement through Pattern Analysis of Mouse Gestures

Let's replay the political debate: Hypervideo technology for visual sensemaking of televised election debates

Web browsing behavior analysis and interactive hypervideo

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