Conference proceeding
GROOVY ASSIGNMENT: THE VR RIDE A Cross Disciplinary Assignment in Computer Graphics and Interactivity
ACM SIGGRAPH 2019 EDUCATORS FORUM (SIGGRAPH '19), pp 1-2
01 Jan 2019
Abstract
In this Groovy Assignment submission, we present a VR Ride assignment that challenges students to create a fully interactive VR computer graphics experience integrated with a themed ride. For this assignment, a ride is an apparatus that fully supports the users weight, utilizes the user's body motions as a primary input for computer interactivity, and provides haptic feedback relevant to the VR experience.
The assignment is designed to inspire and motivate creative thinking and cross disciplinary collaboration with faculty and students from outside the scope of those traditionally involved in programs focused on computer graphics and interaction.
The assignment can be easily scaled, by utilizing wholly existing, found or purchased platforms (exercise equipment such as a rowing machine or stationary bike) for use with small groups of students if desired. In the example presented, students from Electrical Engineering, Mechanical Engineering, Industrial Design, Game Design, VR & Immersive Media, Animation & VFX and Game Design programs collaborated using primarily found or recycled components to build a bespoke, human powered "VR Cycle" ride, integrated with original VR experiences developed for the ride.
Metrics
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1 citations in Scopus
Details
- Title
- GROOVY ASSIGNMENT: THE VR RIDE A Cross Disciplinary Assignment in Computer Graphics and Interactivity
- Creators
- Nick Jushchyshyn - Drexel UniversityRobert Lloyd - Drexel UniversityErik Sundquist - Drexel UniversityACM
- Publication Details
- ACM SIGGRAPH 2019 EDUCATORS FORUM (SIGGRAPH '19), pp 1-2
- Publisher
- Assoc Computing Machinery
- Number of pages
- 2
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Digital Media; Design
- Web of Science ID
- WOS:000503991200003
- Scopus ID
- 2-s2.0-85071485452
- Other Identifier
- 991019168080804721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Software Engineering
- Computer Science, Theory & Methods