CADET: a collaborative agile data exploration tool for mixed reality

Autor:	Jeremy McDade, Adam Drogemuller, Allison Jing, Nick Ireland, James Walsh, Bruce Thomas, Wolfgang Mayer, Andrew Cunningham
Přispěvatelé:	McDade, Jeremy, Drogemuller, Adam, Jing, Allison, Ireland, Nick, Walsh, James, Thomas, Bruce, Mayer, Wolfgang, Cunningham, Andrew, 21st IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct Singapore 17-21 October 2022
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	human-centered computing-human computer interaction (hci)-interaction paradigms-mixed/augmented reality human-centered computing-visualization-visualization application domains-information visualization
Popis:	The need to understand and communicate the nuances of complex situational information is an ever-present requirement in Command and Control (C2). It is often difficult for remote users of a system to clearly understand what a user is trying to relay. Mixed Reality (MR) technology presents a significant opportunity for exploring and communicating C2 data. In this paper, we present our system, CADET, as step towards enriching the collaborative C2 user ex-perience by allowing users to remotely and locally perform adhoc analysis through information displays created by hand interactions and speech in MR. Refereed/Peer-reviewed
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e0befac2e1c20948a1f1db6d8f74a90 https://hdl.handle.net/11541.2/32422 Zobrazit plný text záznamu