Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Abstract
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Abstract
}
TY - CHAP
T1 - Human-Data Interaction through Design
T2 - 2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI EA 2021
AU - Sailaja, Neelima
AU - Lindley, Joseph
AU - Urquhart, Lachlan
AU - McAuley, Derek
AU - Forrester, Ian
PY - 2021/5/8
Y1 - 2021/5/8
N2 - The increasing use of personal data and AI in everyday technologies has resulted in the amplification of complex and intertwined socio-technical challenges. These, often exemplified by data abuse, breaches, and exploitation, must be alleviated to support sustainable, resilient and human-centred data economies and positive global innovation. Here, we turn towards Human-Data Interaction, an interdisciplinary branch of research, inspired by HCI, that brings together diverse siloed perspectives to present three holistic response principles: data legibility, negotiability and agency. But, the emergent nature of this field calls for refinement of these theoretical tenets to help them translate into practical and tangible responses that are embedded in the technologies we create. We propose this workshop as a foundational step towards this agenda by opening these principles to the CHI community to encourage critique and dialogue about the strengths, weaknesses, value and opportunities of incorporating HDI into the design and evaluation of technology. The outcomes of this workshop, by engaging with HDI through Design, will form the basis for the next stages of research within HDI by contributing to foundational texts within academia and implementing HDI-infused systems within industry.
AB - The increasing use of personal data and AI in everyday technologies has resulted in the amplification of complex and intertwined socio-technical challenges. These, often exemplified by data abuse, breaches, and exploitation, must be alleviated to support sustainable, resilient and human-centred data economies and positive global innovation. Here, we turn towards Human-Data Interaction, an interdisciplinary branch of research, inspired by HCI, that brings together diverse siloed perspectives to present three holistic response principles: data legibility, negotiability and agency. But, the emergent nature of this field calls for refinement of these theoretical tenets to help them translate into practical and tangible responses that are embedded in the technologies we create. We propose this workshop as a foundational step towards this agenda by opening these principles to the CHI community to encourage critique and dialogue about the strengths, weaknesses, value and opportunities of incorporating HDI into the design and evaluation of technology. The outcomes of this workshop, by engaging with HDI through Design, will form the basis for the next stages of research within HDI by contributing to foundational texts within academia and implementing HDI-infused systems within industry.
KW - Artificial Intelligence
KW - Design Research
KW - Human Data Interaction
KW - Personal Data
U2 - 10.1145/3411763.3441344
DO - 10.1145/3411763.3441344
M3 - Abstract
AN - SCOPUS:85105788984
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 113:1-113:5
BT - Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, CHI EA 2021
PB - Association for Computing Machinery (ACM)
CY - New York
Y2 - 8 May 2021 through 13 May 2021
ER -