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Lena Ashooh

dblp:392/0158 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0005-9816-7312ORCID · 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
Human-robot interaction · 77% Design research and methods · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
animal-computer interaction
0.912025
Animals' Entanglement with Technology: a Scoping Review · CHI 2025

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

thematic analysis · 0.9scoping review · 0.9
YearPublicationVenuePosition
2025 Animals' Entanglement with Technology: a Scoping Review
abstract
Animals living alongside humans are navigating a world increasingly filled with technology, yet little is known about how they interface with these systems, whether designed for, with, or around them. Anchored in HCI and ranging across diverse fields, this scoping review analyzes nearly 800 research works to explore the diverse realities of animal-technology research, examining the who, what, why, and how of animal-technology entanglements. Our analysis revealed 11 research objectives and eight types of technologies across six animal contexts. By categorizing the literature based on authors’ aims and intended beneficiaries, we highlight trends, gaps, and ethical considerations. We find that most systems involve animals with limited potential for direct engagement or sense-making. We propose a framework to understand animals as users versus subjects of interactive systems, focusing on feedback, empirical testing, and projected animal benefits. Our findings offer a foundation to understand current and future animal technology research and the diversity of animal user experience.
Rébecca Kleinberger, Lena Ashooh, Keavan Farsad, Ilyena Hirskyj-Douglas
CHI2