A sample of one: First-person research methods in HCI

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Researchers

  • Andres Lucero

  • Audrey Desjardins
  • Carman Neustaedter
  • Kristina Höök
  • Marc Hassenzahl
  • Marta E. Cecchinato

Research units

  • University of Washington
  • Simon Fraser University
  • KTH Royal Institute of Technology
  • University of Siegen
  • Northumbria University

Abstract

First-person research (i.e., research that involves data collection and experiences from the researcher themselves) continues to become a viable addition and, possibly even, alternative to more traditional HCI methods. While we have seen the benefits of using methods such as autoethnography, autobiographical design, and autoethnographical research through design, we also see the need to further explore, define, and investigate the practices, techniques, tactics, and implications of first-person research in HCI. To address this, this one-day workshop aims to bring together a community of researchers, designers, and practitioners who are interested in exploring and reimagining research in HCI and interaction design, with an emphasis on first-person methods.

Details

Original languageEnglish
Title of host publicationDIS 2019 Companion - Companion Publication of the 2019 ACM Designing Interactive Systems Conference
Publication statusPublished - 18 Jun 2019
MoE publication typeA4 Article in a conference publication
EventACM Conference on Designing Interactive Systems - San Diego, United States
Duration: 23 Jun 201928 Jun 2019
https://dis2019.com/

Publication series

NameDIS 2019 Companion - Companion Publication of the 2019 ACM Designing Interactive Systems Conference

Conference

ConferenceACM Conference on Designing Interactive Systems
Abbreviated titleDIS 2019
CountryUnited States
CitySan Diego
Period23/06/201928/06/2019
Internet address

    Research areas

  • Autobiographical design, Autoethnography, Design research, First-person research, Research through design

ID: 35736377