Designing LLM Response Layouts for XR Workspaces in Vehicles

Daun Kim, Jin Woo Jeong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study investigates the design of response layouts for large language models in XR environments for vehicle settings. Our formative study identified usability challenges with the current linear layout, such as difficulties in extensive scrolling and mid-air interactions. Based on these findings, we designed an improved layout that utilizes multiple windows for efficient access to diverse content, with a cohesive placement to minimize motion sickness. A user study with 24 participants compared the proposed interface against a conventional web browser interface through various information-seeking tasks. The results demonstrated that the proposed interface enhanced overall usability compared to the baseline.

Original languageEnglish
Title of host publicationProceedings - SIGGRAPH Asia 2024 Posters, SA 2024
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9798400711381
DOIs
StatePublished - 3 Dec 2024
Event2024 SIGGRAPH Asia 2024 Posters, SA 2024 - Tokyo, Japan
Duration: 3 Dec 20246 Dec 2024

Publication series

NameProceedings - SIGGRAPH Asia 2024 Posters, SA 2024

Conference

Conference2024 SIGGRAPH Asia 2024 Posters, SA 2024
Country/TerritoryJapan
CityTokyo
Period3/12/246/12/24

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