extended-abstract

Grand Challenges for Personal Informatics and AI

Authors:

Daniel A. Epstein,

Predrag Klasnja,

Donna Sprujt-Metz,

Mary Czerwinski,

Eun Kyoung Choe,

Munmun De Choudhury,

Brian LimAuthors Info & Claims

CHI EA '22: CHI Conference on Human Factors in Computing Systems Extended Abstracts

Article No.: 76, Pages 1 - 6

https://doi.org/10.1145/3491101.3503718

Published: 28 April 2022 Publication History

Abstract

Increasing availability of personal data opened new possibilities for technologies that support individuals’ reflection, increase their self-awareness, and inform their future choices. Personal informatics, chiefly concerned with investigating individuals’ engagement with personal data, has become an area of active research within Human-Computer Interaction. However, more recent research has argued that personal informatics solutions often place high demands on individuals and require knowledge, skills, and time for engaging with personal data. New advances in Machine Learning (ML) and Artificial Intelligence (AI) can help to reduce the cognitive burden of personal informatics and identify meaningful trends using analytical engines. Furthermore, introducing ML and AI can enable systems that provide more direct support for action, for example through predictions and recommendations. However, there are many open questions as to the design of personal informatics technologies that incorporate ML and AI. In this workshop, we will bring together an interdisciplinary group of researchers in personal informatics, ML, and AI to outline the design space for intelligent personal informatics solutions and develop an agenda for future research in this area.

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Tunis RFleischmann KSmith A(2024)Designing for Personalization in Personal Informatics: Barriers and Pragmatic Approaches from the Perspectives of Designers, Developers, and Product ManagersProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661622(584-596)Online publication date: 1-Jul-2024
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Index Terms

Grand Challenges for Personal Informatics and AI
1. Human-centered computing
  1. Human computer interaction (HCI)

Index terms have been assigned to the content through auto-classification.

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Published In

cover image ACM Conferences

CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems

April 2022

3066 pages

ISBN:9781450391566

DOI:10.1145/3491101

Editors:
Simone Barbosa
PUC-Rio, Brazil
,
Cliff Lampe
University of Michigan, USA
,
Caroline Appert
Université Paris-Saclay, France
,
David A. Shamma
Toyota Research Institute, USA

Copyright © 2022 Owner/Author.

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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Published: 28 April 2022

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April 29 - May 5, 2022

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Cited By

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https://doi.org/10.4018/979-8-3693-3402-7.ch005
Saleem MMayne RNapolitano R(2024)Evaluating Human Expert Knowledge in Damage Assessment Using Eye Tracking: A Disaster Case StudyBuildings10.3390/buildings1407211414:7(2114)Online publication date: 10-Jul-2024
https://doi.org/10.3390/buildings14072114
Tunis RFleischmann KSmith A(2024)Designing for Personalization in Personal Informatics: Barriers and Pragmatic Approaches from the Perspectives of Designers, Developers, and Product ManagersProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661622(584-596)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661622
Dritsa Dvan Renswouw LColombo SVäänänen KBogers SMartinez AHolbrook JBrombacher A(2024)Designing (with) AI for WellbeingExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3636282(1-7)Online publication date: 11-May-2024
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Barth CBernard JHuang E(2024)"It's like a glimpse into the future": Exploring the Role of Blood Glucose Prediction Technologies for Type 1 Diabetes Self-ManagementProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642234(1-21)Online publication date: 11-May-2024
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Tunis RFleischmann K(2024)Towards Values-Focused Design Methods for Personalization in Consumer Health Informatics: Workshopping Approaches with Designers2024 IEEE 12th International Conference on Healthcare Informatics (ICHI)10.1109/ICHI61247.2024.00088(563-564)Online publication date: 3-Jun-2024
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Stawarz KKatz DAyobi AMarshall PYamagata TSantos-Rodriguez RFlach PO’Kane A(2023)Co-designing opportunities for Human-Centred Machine Learning in supporting Type 1 diabetes decision-makingInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2023.103003173:COnline publication date: 1-May-2023
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