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Tarik Hasan

dblp:433/3063 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2026
0000-0001-6634-3469ORCID · reported

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

Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 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.

Computer graphics and multimedia
1 paper
Visualization and visual analytics · 77% Virtual and augmented reality · 23%

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

TopicWeightPapersLastEvidence papers
Visualization and visual analytics › information visualization
situated visualization
1.012026
SCORE: A Framework for Quantifying Diegesis in Situated Visualization for Augmented Reality · CHI 2026
Virtual and augmented reality
augmented reality
0.312026
SCORE: A Framework for Quantifying Diegesis in Situated Visualization for Augmented Reality · CHI 2026

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

systematic literature analysis · 1.0framework validation · 1.0
YearPublicationVenuePosition
2026 SCORE: A Framework for Quantifying Diegesis in Situated Visualization for Augmented Reality
abstract
A central goal of Augmented Reality (AR)-based Situated Visualization (SV) is to seamlessly integrate digital information into its relevant physical context. While existing frameworks describe numerous design dimensions, the field lacks a rigorous model to evaluate this integration. To address this, we introduce SCORE, a framework for quantifying diegesis - a narratology concept describing the extent to which an element belongs to its narrative world. Grounded in a systematic analysis of 50 contemporary SV works, SCORE defines five dimensions of diegesis in SV: Spatial proximity, Concreteness, cOherence, Referential context, and Environmental context. In addition to qualitative comparison, our framework also provides a quantitative measure of diegesis, enabling SCORE to distinguish AR-based SVs that prior models have treated as theoretically equivalent. We validate the framework by demonstrating a consistent correlation between higher scores and positive usability outcomes. Based on these findings, we offer insights for SV designers.
Tarik Hasan, Khalad Hasan, Barrett Ens
CHI1