Speculative designs for emergent personal data trails: Signs, signals and signifiers

Stephen Snow, Awais Hameed Khan, Stephen Viller, Ben Matthews, Scott Heiner, James Pierce, Ewa Luger, Richard Gomer, Dorota Filipczuk

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

As networked sensing technologies continue to infiltrate new corners of the built environment, innocuous daily activities -turning on a light, streaming TV, commuting- increasingly create personal data trails. Assisting users in negotiating permissions for services and managing known personal data trails is currently a significant design challenge. However, as this landscape is rapidly evolving year by year, what is urgently needed is for designers to speculate, ideate and design for emergent and near-future data trails. This one-day workshop will bring together a wide range of researchers, practitioners and designers working in areas such as smart cities, smart homes, responsible research & innovation, surveillance, privacy, IoT, smart energy and beyond, in order to ideate and design around emergent personal data trails. The intended outcome of the workshop is to co-create a suite of signs, signals and signifiers with the purpose of acquainting and empowering users to navigate and manage these types of data.

Original languageEnglish
Title of host publicationCHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450368193
DOIs
Publication statusPublished - 25 Apr 2020
Event2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 - Honolulu, United States
Duration: 25 Apr 202030 Apr 2020

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020
Country/TerritoryUnited States
CityHonolulu
Period25/04/2030/04/20

Keywords / Materials (for Non-textual outputs)

  • consent
  • data trails
  • personal data
  • privacy
  • semiotic
  • speculative design

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