English

Towards Data-driven GIM tools: Two Prototypes

Human-Computer Interaction 2022-09-27 v1 Information Retrieval

Abstract

Here we describe two approaches to improve group information management (GIM) and draw on the results of prior works to implement them in software prototypes. The first aids browsing and retrieving from large and unfamiliar collections like shared drives by dynamically reducing and re-organising them. The second supports the transfer and re-use of collections (e.g. to/by successors, descendants, or curators) by integrating novel sorting and annotation features. The prototypes' source code is shared online and screenshots are presented in the accompanying poster.

Keywords

Cite

@article{arxiv.2209.12792,
  title  = {Towards Data-driven GIM tools: Two Prototypes},
  author = {Jesse David Dinneen and Sascha Donner and Helen Bubinger and Jwen Fai Low and Maja Krtalić},
  journal= {arXiv preprint arXiv:2209.12792},
  year   = {2022}
}

Comments

Accepted to ASIST'22, final will appear in proceedings. Poster draft included at end of file

R2 v1 2026-06-28T02:07:17.738Z