Designing (with) AI for Wellbeing (2024)

@inproceedings{23a17d10f80c4642b2c7d1cda76af0c8,

title = "Designing (with) AI for Wellbeing",

abstract = "Designing with data and Artificial Intelligence (AI) can bring significant value to the development of systems and technologies that promote personal wellbeing. However, there are also unaddressed challenges and risks connected to designing (with) AI for wellbeing, such as the difficulties in ensuring that the generated feedback or proposed interventions are relevant considering the large interpersonal variations between the current, desired and achievable level of physical and mental wellbeing of different individuals. In this one-day hybrid workshop, we aim to bring together design and HCI researchers and practitioners interested in the intersection of design, AI, and wellbeing beyond clinical applications. We will discuss challenges in designing with AI for wellbeing originating from a) the domains of design and b) general issues in developing AI systems, and uncover new potential directions that emerge when coupling design, AI and wellbeing. Our aim is to bring together researchers and practitioners from various fields and backgrounds who use data and AI when designing for wellbeing. Through this workshop, we aim to create a conceptual framework that enables the emergence of rich, meaningful, and ethical solutions for designing (with) AI for wellbeing, while also providing handles to mitigate the emergence of negative consequences.",

keywords = "Artificial Intelligence, Designing with data, Wellbeing",

author = "Dimitra Dritsa and {Van Renswouw}, Loes and Sara Colombo and Kaisa V{\"a}{\"a}n{\"a}nen and Sander Bogers and Arian Martinez and Jess Holbrook and Aarnout Brombacher",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024 ; Conference date: 11-05-2024 Through 16-05-2024",

year = "2024",

doi = "10.1145/3613905.3636282",

language = "English",

editor = "Mueller, {Florian Floyd} and Penny Kyburz and Williamson, {Julie R.} and Corina Sas",

booktitle = "CHI EA '24",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

}

Designing (with) AI for Wellbeing. / Dritsa, Dimitra; Van Renswouw, Loes; Colombo, Sara et al.
CHI EA '24: Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems. ed. / Florian Floyd Mueller; Penny Kyburz; Julie R. Williamson; Corina Sas. New York, NY: Association for Computing Machinery (ACM), 2024. 465.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Designing (with) AI for Wellbeing

AU - Dritsa, Dimitra

AU - Van Renswouw, Loes

AU - Colombo, Sara

AU - Väänänen, Kaisa

AU - Bogers, Sander

AU - Martinez, Arian

AU - Holbrook, Jess

AU - Brombacher, Aarnout

N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2024

Y1 - 2024

N2 - Designing with data and Artificial Intelligence (AI) can bring significant value to the development of systems and technologies that promote personal wellbeing. However, there are also unaddressed challenges and risks connected to designing (with) AI for wellbeing, such as the difficulties in ensuring that the generated feedback or proposed interventions are relevant considering the large interpersonal variations between the current, desired and achievable level of physical and mental wellbeing of different individuals. In this one-day hybrid workshop, we aim to bring together design and HCI researchers and practitioners interested in the intersection of design, AI, and wellbeing beyond clinical applications. We will discuss challenges in designing with AI for wellbeing originating from a) the domains of design and b) general issues in developing AI systems, and uncover new potential directions that emerge when coupling design, AI and wellbeing. Our aim is to bring together researchers and practitioners from various fields and backgrounds who use data and AI when designing for wellbeing. Through this workshop, we aim to create a conceptual framework that enables the emergence of rich, meaningful, and ethical solutions for designing (with) AI for wellbeing, while also providing handles to mitigate the emergence of negative consequences.

AB - Designing with data and Artificial Intelligence (AI) can bring significant value to the development of systems and technologies that promote personal wellbeing. However, there are also unaddressed challenges and risks connected to designing (with) AI for wellbeing, such as the difficulties in ensuring that the generated feedback or proposed interventions are relevant considering the large interpersonal variations between the current, desired and achievable level of physical and mental wellbeing of different individuals. In this one-day hybrid workshop, we aim to bring together design and HCI researchers and practitioners interested in the intersection of design, AI, and wellbeing beyond clinical applications. We will discuss challenges in designing with AI for wellbeing originating from a) the domains of design and b) general issues in developing AI systems, and uncover new potential directions that emerge when coupling design, AI and wellbeing. Our aim is to bring together researchers and practitioners from various fields and backgrounds who use data and AI when designing for wellbeing. Through this workshop, we aim to create a conceptual framework that enables the emergence of rich, meaningful, and ethical solutions for designing (with) AI for wellbeing, while also providing handles to mitigate the emergence of negative consequences.

KW - Artificial Intelligence

KW - Designing with data

KW - Wellbeing

UR - http://www.scopus.com/inward/record.url?scp=85194173592&partnerID=8YFLogxK

U2 - 10.1145/3613905.3636282

DO - 10.1145/3613905.3636282

M3 - Conference contribution

AN - SCOPUS:85194173592

BT - CHI EA '24

A2 - Mueller, Florian Floyd

A2 - Kyburz, Penny

A2 - Williamson, Julie R.

A2 - Sas, Corina

PB - Association for Computing Machinery (ACM)

CY - New York, NY

T2 - 2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024

Y2 - 11 May 2024 through 16 May 2024

ER -