activity
20212026
most citedPaperToPlace: Transforming Instruction Documents into Spatialized and Context-Aware Mixed Reality Experiences

21 citations · 52 across the 9 of their papers we have counts for

collaborators

10 papers

cs.AI2026

FigAct: Turning Scientific Figures into Active Canvases for Explanation

Shishi Xiao, Zichao Wang, Alexa Siu +2

Scientific figures are designed to communicate information visually, yet MLLMs typically explain them by translating their visual content back into text. This requires readers to m…

cs.HC2023★ 21 cited

PaperToPlace: Transforming Instruction Documents into Spatialized and Context-Aware Mixed Reality Experiences

Chen Chen, Cuong Nguyen, Jane Hoffswell +3

While paper instructions are one of the mainstream medium for sharing knowledge, consuming such instructions and translating them into activities are inefficient due to the lack of…

cs.HC2023★ 5 cited

Experts prefer text but videos help novices: an analysis of the utility of multi-media content

Hayeong Song, Jennifer Healey, Alexa Siu +2

Multi-media increases engagement and is increasingly prevalent in online content including news, web blogs, and social media, however, it may not always be beneficial to users. To…

cs.HC2022★ 1 cited

VRDoc: Gaze-based Interactions for VR Reading Experience

Geonsun Lee, Jennifer Healey, Dinesh Manocha

Virtual reality (VR) offers the promise of an infinite office and remote collaboration, however, existing interactions in VR do not strongly support one of the most essential tasks…

cs.AI2021

Gaudí: Conversational Interactions with Deep Representations to Generate Image Collections

Victor S. Bursztyn, Jennifer Healey, Vishwa Vinay

Based on recent advances in realistic language modeling (GPT-3) and cross-modal representations (CLIP), Gaudí was developed to help designers search for inspirational images using…

cs.CL2021

"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems

Victor S. Bursztyn, Jennifer Healey, Nedim Lipka +3

Conversations aimed at determining good recommendations are iterative in nature. People often express their preferences in terms of a critique of the current recommendation (e.g.,…