Affiliation:
1. Max Planck Institute for Informatics
2. Aalto University
Abstract
We present the first study to discover optimal reality sampling for mobile imagery. In particular, we identify the minimum information required for fast recognition of images of directly perceivable real-world buildings displayed on a mobile device. Resolution, image size, and JPEG compression of images of façades were manipulated in a same--different recognition task carried out in the field. Best-effort performance is shown to be reachable with significantly lower detail granularity than previously thought. For best user performance, we recommend presenting images as large as possible on the screen and decreasing resolution accordingly.
Publisher
Association for Computing Machinery (ACM)
Subject
Experimental and Cognitive Psychology,General Computer Science,Theoretical Computer Science
Cited by
1 articles.
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1. Bus Stop Spotting: a Field Experiment Comparing 2D Maps, Augmented Reality and 3D Maps;Proceedings of the 23rd International Conference on Mobile Human-Computer Interaction;2021-09-27