Pith. sign in

REVIEW 1 cited by

Malleable Overview-Detail Interfaces

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2503.07782 v1 pith:WVVEFHPV submitted 2025-03-10 cs.HC

classification cs.HC
keywords overview-detailinterfacesattributescontentmalleableoverviewtechniquescomposition
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

The overview-detail design pattern, characterized by an overview of multiple items and a detailed view of a selected item, is ubiquitously implemented across software interfaces. Designers often try to account for all users, but ultimately these interfaces settle on a single form. For instance, an overview map may display hotel prices but omit other user-desired attributes. This research instead explores the malleable overview-detail interface, one that end-users can customize to address individual needs. Our content analysis of overview-detail interfaces uncovered three dimensions of variation: content, composition, and layout, enabling us to develop customization techniques along these dimensions. For content, we developed Fluid Attributes, a set of techniques enabling users to show and hide attributes between views and leverage AI to manipulate, reformat, and generate new attributes. For composition and layout, we provided solutions to compose multiple overviews and detail views and transform between various overview and overview-detail layouts. A user study on our techniques implemented in two design probes revealed that participants produced diverse customizations and unique usage patterns, highlighting the need and broad applicability for malleable overview-detail interfaces.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Task Mode: Dynamic Filtering for Task-Specific Web Navigation using LLMs

    cs.HC 2025-07 conditional novelty 6.0 of 10

    An LLM-powered browser extension that filters webpages to task-relevant content reduced screen reader users' task completion time by about half in a 12-participant study.

Pith tools