research-article

Determining the orientation of proximate mobile devices using their back facing camera

Authors:

Khai TruongAuthors Info & Claims

CHI '12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 2231 - 2234

https://doi.org/10.1145/2207676.2208377

Published: 05 May 2012 Publication History

Abstract

Proximate mobile devices that are aware of their orientation relative to one another can support novel and natural forms of interaction. In this paper, we present a method to determine the relative orientation of proximate mobile devices using only the backside camera. We implemented this method as a service called Orienteer, which provides mobile device with the orientation of other proximate mobile devices. We demonstrate that orientation information can be used to enable novel and natural interactions by developing two applications that allow the user to push content in the direction of another device to share it and point the device toward another to filter content based on the device's owner. An informal evaluation revealed that interactions built upon orientation information can be natural and compelling to users, but developers and designers need to carefully consider how orientation should be applied effectively.

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Cited By

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https://doi.org/10.1109/VRW62533.2024.00128
Li RSeyed TMarquardt NOfek EHodges SSinclair MRomat HPahud MSharma JBuxton WHinckley KRiche N(2023)AdHocProx: Sensing Mobile, Ad-Hoc Collaborative Device Formations using Dual Ultra-Wideband RadiosProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581300(1-18)Online publication date: 19-Apr-2023
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Chen LLiang HLu FWang JChen WYue Y(2021)Effect of Collaboration Mode and Position Arrangement on Immersive Analytics Tasks in Virtual Reality: A Pilot StudyApplied Sciences10.3390/app11211047311:21(10473)Online publication date: 8-Nov-2021
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Index Terms

Determining the orientation of proximate mobile devices using their back facing camera
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

cover image ACM Conferences

CHI '12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

May 2012

3276 pages

ISBN:9781450310154

DOI:10.1145/2207676

General Chair:
Joseph A. Konstan
University of Minnesota
,
Program Chairs:
Ed H. Chi
Google
,
Kristina Höök
Mobile Life at KTH

Copyright © 2012 ACM.

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

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Published: 05 May 2012

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CHI '12

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SIGCHI

CHI '12: CHI Conference on Human Factors in Computing Systems

May 5 - 10, 2012

Texas, Austin, USA

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Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

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https://doi.org/10.1109/VRW62533.2024.00128
Li RSeyed TMarquardt NOfek EHodges SSinclair MRomat HPahud MSharma JBuxton WHinckley KRiche N(2023)AdHocProx: Sensing Mobile, Ad-Hoc Collaborative Device Formations using Dual Ultra-Wideband RadiosProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581300(1-18)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581300
Chen LLiang HLu FWang JChen WYue Y(2021)Effect of Collaboration Mode and Position Arrangement on Immersive Analytics Tasks in Virtual Reality: A Pilot StudyApplied Sciences10.3390/app11211047311:21(10473)Online publication date: 8-Nov-2021
https://doi.org/10.3390/app112110473
Suzuki HKawaai GFujita TKobayashi A(2020)Device position estimation for Multi-tablet virtual display system2020 Eighth International Symposium on Computing and Networking Workshops (CANDARW)10.1109/CANDARW51189.2020.00092(450-454)Online publication date: Nov-2020
https://doi.org/10.1109/CANDARW51189.2020.00092
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https://dl.acm.org/doi/10.1145/3300961
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Boyd LJiang XHayes GMark GFussell SLampe Cschraefel mHourcade JAppert CWigdor D(2017)ProComProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3026014(2865-2877)Online publication date: 2-May-2017
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