Persua: A Visual Interactive System to Enhance the Persuasiveness of Arguments in Online Discussion

Meng, Xiangjian; Zhu, Quing; Wang, Fudi; Nie, Fude; Qu, Huamin; Ma, Xiao‐Jun

doi:10.48550/arxiv.2204.07741

Cited by 2 publications

(2 citation statements)

References 46 publications

(89 reference statements)

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“…For these cases, we asked the participants to revise their queries to get the desired visualizations with a time constraint. Finally, following the bottom-up approach in the prior study, [6], [46], [47], [48], we summarized the major causes of the unexpected system results from the aspects of attributes, tasks, and visual encodings. Furthermore, we analyzed the participants' ability to locate and correct unexpected system results.…”

Section: Results Analysismentioning

confidence: 99%

XNLI: Explaining and Diagnosing NLI-Based Visual Data Analysis

Feng

Wang

Pan

et al. 2024

IEEE Trans. Visual. Comput. Graphics

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Natural language interfaces (NLIs) enable users to flexibly specify analytical intentions in data visualization. However, diagnosing the visualization results without understanding the underlying generation process is challenging. Our research explores how to provide explanations for NLIs to help users locate the problems and further revise the queries. We present XNLI, an explainable NLI system for visual data analysis. The system introduces a Provenance Generator to reveal the detailed process of visual transformations, a suite of interactive widgets to support error adjustments, and a Hint Generator to provide query revision hints based on the analysis of user queries and interactions. Two usage scenarios of XNLI and a user study verify the effectiveness and usability of the system. Results suggest that XNLI can significantly enhance task accuracy without interrupting the NLI-based analysis process.

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Section: Results Analysismentioning

confidence: 99%

XNLI: Explaining and Diagnosing NLI-Based Visual Data Analysis

Feng

Wang

Pan

et al. 2024

IEEE Trans. Visual. Comput. Graphics

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“…For example, Tanveer et al [39] analyzed the narrative trajectories using the transcripts of over 2000 TED talks, which reveals the relationship between narrative trajectories and the ratings by the audience. Xia et al [40] developed Persua which offers example-based guidance to improve persuasiveness of arguments in online discussion. Yuan et al [41] introduced SpeechLens to explore and identify narration strategies in public speaking by analyzing textural and acoustic information.…”

Section: Visual Analysis Of Presentation Techniquesmentioning

confidence: 99%

GestureLens: Visual Analysis of Gestures in Presentation Videos

Zeng

Wang

et al. 2023

IEEE Trans. Visual. Comput. Graphics

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Appropriate gestures can enhance message delivery and audience engagement in both daily communication and public presentations. In this paper, we contribute a visual analytic approach that assists professional public speaking coaches in improving their practice of gesture training through analyzing presentation videos. Manually checking and exploring gesture usage in the presentation videos is often tedious and time-consuming. There lacks an efficient method to help users conduct gesture exploration, which is challenging due to the intrinsically temporal evolution of gestures and their complex correlation to speech content. In this paper, we propose GestureLens, a visual analytics system to facilitate gesture-based and content-based exploration of gesture usage in presentation videos. Specifically, the exploration view enables users to obtain a quick overview of the spatial and temporal distributions of gestures. The dynamic hand movements are firstly aggregated through a heatmap in the gesture space for uncovering spatial patterns, and then decomposed into two mutually perpendicular timelines for revealing temporal patterns. The relation view allows users to explicitly explore the correlation between speech content and gestures by enabling linked analysis and intuitive glyph designs. The video view and dynamic view show the context and overall dynamic movement of the selected gestures, respectively. Two usage scenarios and expert interviews with professional presentation coaches demonstrate the effectiveness and usefulness of GestureLens in facilitating gesture exploration and analysis of presentation videos.

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Persua: A Visual Interactive System to Enhance the Persuasiveness of Arguments in Online Discussion

Cited by 2 publications

References 46 publications

XNLI: Explaining and Diagnosing NLI-Based Visual Data Analysis

XNLI: Explaining and Diagnosing NLI-Based Visual Data Analysis

GestureLens: Visual Analysis of Gestures in Presentation Videos

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