Towards Designerly Data Donation

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Abstract

In-The-wild research allows the HCI community to gain insights into personal behaviour and characteristics. For designers and researchers, this means having access to rich spatiotemporal insights reflecting user's characteristics, behaviours, and needs. However, designerly contexts require contextualized and meaningful data, and collecting it in-The-wild involves a great effort. In addition, ethical implications need to be considered. In this paper, we propose designerly data donation, a participatory approach for data collection in-The-wild, as an effective and ethical way to enable data-centric design processes. We present the potential benefits of designerly data donation around three axes: value gain, data contextualization, and roles and relationships. And we introduce the challenges of designerly data donation at the intersection of HCI, UbiComp, and design.

Original languageEnglish
Title of host publicationUbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers
PublisherAssociation for Computing Machinery (ACM)
Pages496-501
Number of pages6
ISBN (Electronic)9781450384612
DOIs
Publication statusPublished - 2021
Event2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2021 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2021 - Virtual, Online, United States
Duration: 21 Sep 202125 Sep 2021

Publication series

NameUbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers

Conference

Conference2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2021 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2021
CountryUnited States
CityVirtual, Online
Period21/09/2125/09/21

Keywords

  • Data Donation
  • Data-Centric Design;
  • Personal Data

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