research-article

Adopting Diffractive Reading to Advance HCI Research: A Case Study on Technology for Aging

Authors:

Alisha Pradhan,

Katie A. SiekAuthors Info & Claims

ACM Transactions on Computer-Human Interaction (TOCHI), Volume 28, Issue 5

Article No.: 32, Pages 1 - 29

https://doi.org/10.1145/3462326

Published: 20 August 2021 Publication History

Abstract

Researchers in Human–Computer Interaction (HCI) have long developed technologies for older adults. Recently, researchers are engaging in critical reflections of these approaches. IoT for aging in place is one area around which these conflicting discourses have converged, likely in part driven by government and industry interest. This article introduces diffractive analysis as an approach that examines difference to yield new empirical understandings about our methods and the topics we study. We constructed three analyses of a dataset collected at an IoT design workshop and then conducted a diffractive analysis. We present themes from this analysis regarding the ways that participants are inscribed in our research, considerations related to transferability and novelty between work centered on older adults and other work, and insights about methodologies. Our discussion contributes implications for researchers to form teams and account for their roles in research, as well as recommendations how diffractive analysis can support other research agendas.

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Index Terms

Adopting Diffractive Reading to Advance HCI Research: A Case Study on Technology for Aging
1. Human-centered computing
  1. Human computer interaction (HCI)
2. Social and professional topics
  1. User characteristics
    1. Age
      1. Seniors

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CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

Aging in place technologies are designed to extend independence and autonomy in older adults, promoting quality of life and peace of mind. Prior work has described how adoption and continued use of these technologies are low when they are perceived as ...

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cover image ACM Transactions on Computer-Human Interaction

ACM Transactions on Computer-Human Interaction Volume 28, Issue 5

October 2021

308 pages

ISSN:1073-0516

EISSN:1557-7325

DOI:10.1145/3481685

Editor:
Kristina Höök
KTH Royal Institute of Technology, Sweden

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Copyright © 2021 Association for Computing Machinery.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 August 2021

Accepted: 01 April 2021

Revised: 01 February 2021

Received: 01 June 2020

Published in TOCHI Volume 28, Issue 5

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