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Emily Parrish

dblp:344/9047 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0001-5700-0560ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
User interface design and tools · 77% Collaborative and social computing · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
User interface design and tools › user interface design
dark patterns
0.712023
Deceptive Design Patterns in Safety Technologies: A Case Study of the Citizen App · CHI 2023
Collaborative and social computing › socio-technical systems
sociotechnical infrastructure
0.212023
Deceptive Design Patterns in Safety Technologies: A Case Study of the Citizen App · CHI 2023

Methods — techniques the papers use, named apart from their topics

user interface analysis · 0.7interview study · 0.7case study · 0.7
YearPublicationVenuePosition
2023 Deceptive Design Patterns in Safety Technologies: A Case Study of the Citizen App
abstract
Deceptive design patterns (known as dark patterns) are interface characteristics which modify users’ choice architecture to gain users’ attention, data, and money. Deceptive design patterns have yet to be documented in safety technologies despite evidence that designers of safety technologies make decisions that can powerfully influence user behavior. To address this gap, we conduct a case study of the Citizen app, a commercially available technology which notifies users about local safety incidents. We bound our study to Atlanta and triangulate interview data with an analysis of the user interface. Our results indicate that Citizen heightens users’ anxiety about safety while encouraging the use of profit-generating features which offer security. These findings contribute to an emerging conversation about how deceptive design patterns interact with sociocultural factors to produce deceptive infrastructure. We propose the need to expand an existing taxonomy of harm to include emotional load and social injustice and offer recommendations for designers interested in dismantling the deceptive infrastructure of safety technologies.
Ishita Chordia, Lena-Phuong Tran, Tala June Tayebi, Emily Parrish, Sheena Lewis Erete, Jason C. Yip 0001, Alexis Hiniker
CHI4