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Data Visualisation Trends in Mobile Augmented Reality Applications

Published: 05 August 2014 Publication History

Abstract

According to Google Trends, mobile augmented reality (AR) apps will, after a brief hype-associated peak and decline, show again a more steady growth in the near future. Indeed, a review of currently available mobile AR apps suggests that they are embracing practical uses instead of simply showing off the capabilities of AR. Many of these apps are making information more ubiquitous without making the user necessarily aware of the data's origins, using graphics to represent multiple datasets. There has been however little research focusing on the trends in AR and the types of data visualisations used in mobile AR. The purpose of this paper is to fill that void by presenting an analysis of currently popular mobile AR apps on the market. Our findings from this small-scale investigation give an indication of the types of visualisation styles used in current mobile AR apps and highlight suggestions for how to make the information presented more relevant, for example by using better filtering methods.

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cover image ACM Other conferences
VINCI '14: Proceedings of the 7th International Symposium on Visual Information Communication and Interaction
August 2014
262 pages
ISBN:9781450327657
DOI:10.1145/2636240
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 August 2014

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Author Tags

  1. AR
  2. HCI
  3. Human--Computer Interaction
  4. Information Visualisation
  5. Mobile Augmented Reality
  6. Mobile Computing

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VINCI '14

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VINCI '14 Paper Acceptance Rate 21 of 62 submissions, 34%;
Overall Acceptance Rate 71 of 193 submissions, 37%

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