Happy Bits: Interactive Technologies Helping Young Adults with Low Self-Esteem

Jeni Paay, Heidi Nielsen, Helle Hyllested Larsen, Jesper Kjeldskov

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1 Citationer (Scopus)
217 Downloads (Pure)

Abstrakt

How can we design digital artefacts to help young adults with low self-esteem feel happier? To gain new insights into young adult’s self-esteem problems and how we might help support them with interactive technologies, we conducted a mixed method user-centred study. We used a 6-week cultural probe study with 11 young adults, including a focus group, to understand current practices in managing self-esteem with everyday technologies. We then co-designed interactive digital artefacts for helping improve self-esteem, to deploy as technology probes with 6 young adults for four weeks.
Our contribution is two-fold. Firstly, we present the Self- Esteem Technology Support (SETS) framework for informing design of interactive technologies supporting young adults in managing low self-esteem. Secondly, we propose that interactive technologies designed to help young people feel happier need to be flexible, adaptable, private, available, personalisable, and have an engaging form factor to inspire feelings of fondness toward having the device as part of their daily routines.
OriginalsprogEngelsk
TitelNordiCHI '18 Proceedings of the 10th Nordic Conference on Human-Computer Interaction
Antal sider10
ForlagAssociation for Computing Machinery
Publikationsdato2018
ISBN (Trykt)978-1-4503-6437-9
DOI
StatusUdgivet - 2018
BegivenhedNordiCHI 2018 - Oslo, Norge
Varighed: 1 okt. 20183 okt. 2018

Konference

KonferenceNordiCHI 2018
LandNorge
ByOslo
Periode01/10/201803/10/2018

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Emneord

  • self-esteem
  • interaction design
  • Digital engagement
  • cultural probes
  • Technology probes
  • Design workshop

Citationsformater

Paay, J., Nielsen, H., Larsen, H. H., & Kjeldskov, J. (2018). Happy Bits: Interactive Technologies Helping Young Adults with Low Self-Esteem. I NordiCHI '18 Proceedings of the 10th Nordic Conference on Human-Computer Interaction Association for Computing Machinery. https://doi.org/10.1145/3240167.3240180