Evidence map›Paper›PMID 39286336›Full record

ArticleProceedings of the ACM on human-computer interaction2024

Sustaining the Usefulness and Appeal of an Older Adult-led Makerspace through Developing and Adapting Resources.

Ruipu Hu, Alisha Pradhan, Elizabeth Bonsignore, Amanda Lazar

Abstract read
In one paragraph

Article in Proceedings of the ACM on human-computer interaction, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. HCI and Older Adults: The Critical Turn and What Comes Next.Foundations and trends in human computer interaction · 2025
    Article
  2. Towards Accounting for Nonhuman Agency in Technology Design for Aging.The ... International Conference on PErvasive Technologies Related to Assistive Environments : PETRA ... International Conference on PErvasive Technologies Related to Assistive Environments · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ruipu HuUniversity of Maryland, United States of America.
Alisha PradhanNew Jersey Institute of Technology, United States of America.
Elizabeth BonsignoreUniversity of Maryland, United States of America.
Amanda LazarUniversity of Maryland, United States of America.

Funding

ACL HHS 90REGE0024
6 · The paper itself

Abstract

Researchers are studying makerspaces as one way to support older adults in learning about and using new technologies and tools. In this paper, through a long-term (34 months), ethnographic approach, we study the ways that older adults arranged sociotechnical resources to sustain the community use of a makerspace. Our analysis identifies three interconnected resources that were developed: an adaptive staffing approach that could withstand constant personnel shifts and shortages; structured activities to draw interest and overcome challenges associated with learning to use the machines; and reference materials to support individuals in independent usage of the space. We describe the issues that arose as time went on with each of these resource types, and how individuals affiliated with the makerspace adapted the resources to address these issues. In the discussion, we extend best practices by reflecting on strategies that worked well in the makerspace, such as drawing interest through introductory classes, as well as different purposes for reference materials to support technology use.

Indexed as

AgeCollaborative and SocialCommunity Technology EnvironmentDIYHuman-centered computingHuman-Computer Interaction (HCI)MakersMakerspacesOlder AdultsSeniorsSocial and professional topicsUser characteristics

Identifiers

PMID39286336
PMCPMC11404555

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.