Title
I see you there!: developing identity-preserving embodied interaction for museum exhibits
Abstract
Museums are increasingly embracing technologies that provide highly-individualized and highly-interactive experiences to visitors. With embodied interaction experiences, increased localization accuracy supports greater nuance in interaction design, but there is usually a tradeoff between fast, accurate tracking and the ability to preserve the identity of users. Customization of experience relies on the ability to detect the identity of visitors, however. We present a method that combines fine-grained indoor tracking with robust preservation of the unique identities of multiple users. Our model merges input from an RFID reader with input from a commercial camera-based tracking system. We developed a probabilistic Bayesian model to infer at run-time the correct identification of the subjects in the camera's field of view. This method, tested in a lab and at a local museum, requires minimal modification to the exhibition space, while addressing several identity-preservation problems for which many indoor tracking systems do not have robust solutions.
Year
DOI
Venue
2013
10.1145/2470654.2466252
CHI
Keywords
Field
DocType
robust solution,robust preservation,interaction design,indoor tracking system,model merges input,interaction experience,indoor tracking,accurate tracking,museum exhibit,probabilistic bayesian model,commercial camera-based tracking system,localization,rfid,tracking,identification
Bayesian inference,Interaction design,Computer science,Tracking system,Embodied cognition,Exhibition,Human–computer interaction,Probabilistic logic,Multimedia,Personalization
Conference
Citations 
PageRank 
References 
14
0.74
20
Authors
5
Name
Order
Citations
PageRank
Francesco Cafaro1629.96
Alessandro Panella2233.70
Leilah Lyons313919.89
Jessica Roberts4504.32
Josh Radinsky5508.96