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Shreya Kappala

dblp:422/6371 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0002-7950-289XORCID · 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
Accessibility and assistive technology · 44% Haptics and multimodal interaction · 44% Learning and educational technologies · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Haptics and multimodal interaction › multimodal communication
multimodal instruction
1.012026
Co-Designing Multimodal Systems for Accessible Asynchronous Dance Instruction · CHI 2026
Learning and educational technologies › online learning
asynchronous learning
0.312026
Co-Designing Multimodal Systems for Accessible Asynchronous Dance Instruction · CHI 2026

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

co-design workshops · 1.0audio description · 1.0
YearPublicationVenuePosition
2026 Co-Designing Multimodal Systems for Accessible Asynchronous Dance Instruction
abstract
Videos make exercise instruction widely available, but they rely on visual demonstrations that blind and low vision (BLV) learners cannot see. While audio descriptions (AD) can make videos accessible, describing movements remains challenging as the AD must convey what to do (mechanics, location, orientation) and how to do it (speed, fluidity, timing). Prior work thus used multimodal instruction to support BLV learners with individual simple movements. However, it is unclear how these approaches scale to dance instruction with unique, complex movements and precise timing constraints. To inform accessible asynchronous dance instruction systems, we conducted three co-design workshops (N=28) with BLV dancers, instructors, and experts in sound, haptics, and AD. Participants designed 8 systems revealing common themes: staged learning to dissect routines, crafting vocabularies for movements, and selectively using modalities—narration for movement structure, sound for expression, and haptics for spatial cues. We conclude with design implications to make learning dance accessible.
Ujjaini Das, Shreya Kappala, Meng Chen 0020, Mina Huh, Amy Pavel
CHI2