Rights statement: © ACM, 2020. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in DIS' 20 Companion: Companion Publication of the 2020 ACM Designing Interactive Systems Conference, (2020) https://dl.acm.org/doi/10.1145/3393914.3395920
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Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Mental Wellbeing
T2 - Designing Interactive Systems DIS 2020
AU - Sas, Corina
AU - Hook, Kristina
AU - Doherty, Gavin
AU - Sanches, Pedro
AU - Leufkens, Tim
AU - Westerink, Joyce
N1 - © ACM, 2020. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in DIS' 20 Companion: Companion Publication of the 2020 ACM Designing Interactive Systems Conference, (2020) https://dl.acm.org/doi/10.1145/3393914.3395920
PY - 2020/7/1
Y1 - 2020/7/1
N2 - Most HCI work on the exploration and support of mental wellbeing involves mobiles, sensors, and various on-line systems which focus on tracking users. However, adoption of, and adherence to such systems is not ideal. Are there innovative ways to better design for mental wellbeing? A promising novel approach is to encourage changes to behavior through the use of tailored feedback informed by machine learning algorithms applied to large sets of use data. This one day workshop aims to explore novel ways to actively engage participants through interactive systems, with an overall aim to shape the research agenda of future HCI work on mental wellbeing. The workshop is designed in an innovative format offering a mixture of traditional presentation, hands-on design and future-thinking activities. The workshop brings together both practitioners and HCI researchers from across a range areas addressing mental wellbeing.
AB - Most HCI work on the exploration and support of mental wellbeing involves mobiles, sensors, and various on-line systems which focus on tracking users. However, adoption of, and adherence to such systems is not ideal. Are there innovative ways to better design for mental wellbeing? A promising novel approach is to encourage changes to behavior through the use of tailored feedback informed by machine learning algorithms applied to large sets of use data. This one day workshop aims to explore novel ways to actively engage participants through interactive systems, with an overall aim to shape the research agenda of future HCI work on mental wellbeing. The workshop is designed in an innovative format offering a mixture of traditional presentation, hands-on design and future-thinking activities. The workshop brings together both practitioners and HCI researchers from across a range areas addressing mental wellbeing.
KW - Emotional wellbeing
KW - design
KW - big data
KW - affective interaction
KW - future thinking
KW - researchers
KW - practitioners
U2 - 10.1145/3393914.3395920
DO - 10.1145/3393914.3395920
M3 - Conference contribution/Paper
SN - 9781450379878
SP - 425
EP - 428
BT - DIS' 20 Companion
PB - ACM
Y2 - 6 July 2020 through 10 July 2020
ER -