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Alexis Shore

dblp:314/9672 · also Alexis Shore Ingber · DBLP profile ↗
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3ranked-venue papers
1as first author
3since 2021 · last 2025
0000-0002-8085-2355ORCID · verified

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

Human-computer interaction and ubiquitous computing · 3 · 1 first-author · 3 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
2 papers
Collaborative and social computing · 61% Human-AI interaction · 30% Immersive interaction · 9%
Network and information security
1 paper
Privacy and data protection · 100%
Artificial intelligence
1 paper
Information extraction and text analysis · 100%

Topics — the 4 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Collaborative and social computing › interpersonal communication
self-disclosure		 0.912025
Self-Disclosure in Social Virtual Reality: The Influence of Information Management Dynamics, Social Presence, and Privacy Concerns · CHI 2025
Collaborative and social computing › collaborative virtual environments
social virtual reality		 0.912025
Self-Disclosure in Social Virtual Reality: The Influence of Information Management Dynamics, Social Presence, and Privacy Concerns · CHI 2025
Natural language and speech › Information extraction and text analysis
emotion recognition		 0.312025
Public Perceptions About Emotion AI Use Across Contexts in the United States · CHI 2025
Immersive interaction › virtual reality › presence
social presence in VR		 0.312025
Self-Disclosure in Social Virtual Reality: The Influence of Information Management Dynamics, Social Presence, and Privacy Concerns · CHI 2025

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

survey study · 1.7survey · 1.7
YearPublicationVenuePosition
2025 Public Perceptions About Emotion AI Use Across Contexts in the United States
abstract
Peer Reviewed
Nazanin Andalibi, Alexis Shore
 CHI2
2025 Self-Disclosure in Social Virtual Reality: The Influence of Information Management Dynamics, Social Presence, and Privacy Concerns
abstract
Peer Reviewed
James Cummings 0002, Alexis Shore, Yihan Danny Jia
 CHI2
2023 An Exploratory Analysis of Interface Features Influencing Mobile Location Data Disclosure
abstract
Mobile location based services (LBS) often ask users to consent to over disclose location data in exchange for their service. This online experiment manipulated interface features within an LBS consent screen to understand their independent and interactive influence on location data obscurity decisions. Participants (N = 502) were led to believe they were involved in a location-tracking study, allowing for revealed preferences in their decisions. Results indicate that social proof and willingness-to-accept framing positively influenced participants’ likelihood to obscure their location data. While the presence of friction and defaults had no direct effect, both interacted with other interface features in influencing decision-making.
Alexis Shore, James Cummings 0002
 Int. J. Hum. Comput. Interact.1