Kartta: using multimedia and context to navigate unfamiliar environments

Authors:
Arttu Perttula;Scott Carter;Laurent Denoue
Affiliations:
Tampere University of Technology, Pori, Finland;FX Palo Alto Laboratory, Inc., Palo Alto, CA;FX Palo Alto Laboratory, Inc., Palo Alto, CA
Venue:
Proceedings of the 13th International MindTrek Conference: Everyday Life in the Ubiquitous Era
Year:
2009

Citing 8
Cited 1

Methodology matters: doing research in the behavioral and social sciences

Human-computer interaction
From Informing to Remembering: Ubiquitous Systems in Interactive Museums

IEEE Pervasive Computing
Generating summaries and visualization for large collections of geo-referenced photographs

MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Sandboxes: supporting social play through collaborative multimedia composition on mobile phones

CSCW '06 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
Auditory perceptible landmarks in mobile navigation

Proceedings of the 12th international conference on Intelligent user interfaces
Scavenger Hunt: An Empirical Method for Mobile Collaborative Problem-Solving

IEEE Pervasive Computing
Automatic generation of tourist maps

ACM SIGGRAPH 2008 papers
Mobiphos: a collocated-synchronous mobile photo sharing application

Proceedings of the 10th international conference on Human computer interaction with mobile devices and services

Social navigation with the collective mobile mood monitoring system

Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments

Quantified Score

Hi-index	0.00

Visualization

Abstract

Most mobile navigation systems focus on answering the question, "I know where I want to go, now can you show me exactly how to get there?" While this approach works well for many tasks, it is not as useful for unconstrained situations in which user goals and spatial landscapes are more fluid, such as festivals or conferences. In this paper we describe the design and iteration of the Kartta system, which we developed to answer a slightly different question: "What are the most interesting areas here and how do I find them?"