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Toward a Measure of Collective Digital Capacity: An Exploratory Analysis

Published: 11 May 2024 Publication History

Abstract

Digital training initiatives must shift toward critical cultural and social practices that encourage full participation in community affairs. However, no measure exists to account for digital capacity at the community level. Thus, we present this late-breaking work to begin designing and validating a measure of community digital capacity and report the results of an exploratory factor analysis. The analysis is based on 553 respondents across the United States to estimate an initial three-factor structure of (1) social digital capacity, (2) individual digital capacity, and (3) infrastructure. Such questions address limitations with existing theories that do not show digital inequities in the context of underlying systemic and structural challenges posed by one’s social position. Our preliminary results suggest a potential measure for researchers and practitioners to understand whether people can access shared digital resources and activities with acceptable scientific guarantees, including favorable Akaike and Bayesian information criteria.

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Published In

cover image ACM Conferences
CHI EA '24: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
May 2024
4761 pages
ISBN:9798400703317
DOI:10.1145/3613905
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 May 2024

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Author Tags

  1. Community digital capacity
  2. Digital divide
  3. Digital literacy
  4. Exploratory Factor Analysis
  5. Measure
  6. Public Housing
  7. Social

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  • Work in progress
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  • Refereed limited

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CHI '24

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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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CHI 2025
ACM CHI Conference on Human Factors in Computing Systems
April 26 - May 1, 2025
Yokohama , Japan

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