Projects per year
Abstract
In this paper we describe and evaluate an assistive mixed reality system that aims to augment users in tasks by combining automated and unsupervised information collection with minimally invasive video guides. The result is a fully self-contained system that we call GlaciAR (Glass-enabled Contextual Interactions for Augmented Reality). It operates by extracting contextual interactions from observing users performing actions. GlaciAR is able to i) automatically determine moments of relevance based on a head motion attention model, ii) automatically produce video guidance information, iii) trigger these guides based on an object detection method, iv) learn without supervision from observing multiple users and v) operate fully on-board a current eyewear computer (Google Glass). We describe the components of GlaciAR together with user evaluations on three tasks. We see this work as a first step toward scaling up the notoriously difficult authoring problem in guidance systems and an exploration of enhancing user natural abilities via minimally invasive visual cues.
Original language | English |
---|---|
Title of host publication | AH'17: Proceedings of the 8th Augmented Human International Conference |
Publisher | Association for Computing Machinery (ACM) |
Number of pages | 9 |
ISBN (Electronic) | 9781450348355 |
DOIs | |
Publication status | Published - 18 Mar 2017 |
Event | ACM 8th Augmented Human International Conference - Silicon Valley, United States Duration: 16 Mar 2017 → 18 Mar 2017 |
Conference
Conference | ACM 8th Augmented Human International Conference |
---|---|
Country/Territory | United States |
City | Silicon Valley |
Period | 16/03/17 → 18/03/17 |
Keywords
- Augmented Reality
- Task Guidance
- Eyewear computing
- Assistive computing
Fingerprint
Dive into the research topics of 'Automated capture and delivery of assistive task guidance with an eyewear computer: the GlaciAR system'. Together they form a unique fingerprint.Projects
- 1 Finished
-
GLANCE - EPSRC Call for Outlines - User Interaction with ICT
Mayol-Cuevas, W. W. (Principal Investigator)
4/04/16 → 2/02/22
Project: Research