Bio

Shreyosi Endow is a final-year Ph.D. student in Human-Computer Interaction at the University of Texas at Arlington. Her research expertise spans natural language processing, large language models (LLMs), and design research. Her dissertation work focuses on developing automated and scalable methods for extracting experiential knowledge from large-scale instructional content to improve tutorial search, navigation, and generation. Her work has been published in reputed HCI conferences such as CHI, DIS, and C&C. She completed her bachelor's degree in Computer Engineering from the University of Texas at Arlington in 2020 and has a background in wearable design, sensing, and embedded systems. During her PhD, Shreyosi held research internships at Adobe Research (2023, 2025) and Fujitsu Research (2025).

Projects

Published Projects

Anther

Cross-Pollinating Communities of Practice via Video Tutorials

Shared, Shaped, and Stolen

Tracing Sites of Knowledge Transfer across Creative Communities of Practice

[Graduate Consortium] Experiential Tutorials

Designing Tutorial Authoring Tools to Facilitate Tacit Knowledge Exchange in Creative Practices

BraidFlow

A Flow-annotated Dataset of Kumihimo Braidmaking Activity

Tacit Descriptions

Uncovering Ambiguity in Crowdsourced Descriptions of Motions and Materials

Cogcues

Shifting Perception through Interactive Projected Cues in Still Life Drawing

Embr

A Creative Framework for Hand Embroidered Liquid Crystal Textile Displays

Compressables

A Haptic Prototyping Toolkit for Wearable Compression-based Interfaces

I'm Better Off on My Own

Understanding How a Tutorial's Medium Affects Physical Skill Development

Student Projects

From Concepts to Competency

Developing Skill Ontologies with LLM Assistance

AirResistorID

Single-Sensor Distributed Tactile Sensing in Soft Robotic Finger Segments

Lab Pumpkin

Soldering Tip Holder

Reu Projects

Conductive Soft and Metamaterials

Smart Material Toolkits Track