English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

Traditional accessibility methods like alternative text and data tablestypically underrepresent data visualization's full potential. Keyboard-basedchart navigation has emerged as a potential solution, yet efficient dataexploration remains challenging. We present VizAbility, a novel system thatenriches chart content navigation with conversational interaction, enablingusers to use natural language for querying visual data trends. VizAbilityadapts to the user's navigation context for improved response accuracy andfacilitates verbal command-based chart navigation. Furthermore, it can addressqueries for contextual information, designed to address the needs of visuallyimpaired users. We designed a large language model (LLM)-based pipeline toaddress these user queries, leveraging chart data & encoding, user context, andexternal web knowledge. We conducted both qualitative and quantitative studiesto evaluate VizAbility's multimodal approach. We discuss further opportunitiesbased on the results, including improved benchmark testing, incorporation ofvision models, and integration with visualization workflows.

VizAbility: Enhancing Chart Accessibility with LLM-based Conversational Interaction