TY - GEN
T1 - Speculative designs for emergent personal data trails
T2 - 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020
AU - Snow, Stephen
AU - Khan, Awais Hameed
AU - Viller, Stephen
AU - Matthews, Ben
AU - Heiner, Scott
AU - Pierce, James
AU - Luger, Ewa
AU - Gomer, Richard
AU - Filipczuk, Dorota
N1 - Publisher Copyright:
© 2020 Owner/Author.
PY - 2020/4/25
Y1 - 2020/4/25
N2 - 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.
AB - 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.
KW - consent
KW - data trails
KW - personal data
KW - privacy
KW - semiotic
KW - speculative design
UR - http://www.scopus.com/inward/record.url?scp=85090186104&partnerID=8YFLogxK
U2 - 10.1145/3334480.3375173
DO - 10.1145/3334480.3375173
M3 - Conference contribution
AN - SCOPUS:85090186104
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery, Inc
Y2 - 25 April 2020 through 30 April 2020
ER -