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Representing indoor location of objects on wearable computers with head-mounted displays

Authors:

Albrecht SchmidtAuthors Info & Claims

AH '14: Proceedings of the 5th Augmented Human International Conference

Article No.: 18, Pages 1 - 4

https://doi.org/10.1145/2582051.2582069

Published: 07 March 2014 Publication History

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Abstract

With head-mounted displays becoming more ubiquitous, the vision of extending human object search capabilities using a wearable system becomes feasible. Wearable cameras can recognize known objects and store their indoor location. But how can the location of objects be represented on a wearable device like Google Glass and how can the user be navigated towards the object? We implemented a prototype on a wearable computer with a head-mounted display and compared a last seen image representation against a map representation of the location. We found a significant interaction effect favoring the last seen image with harder hidden objects. Additionally, all objective and subjective measures generally favor the last seen image. Results suggest that a map representation is more helpful for gross navigation and an image representation is more supportive for fine navigation.

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Qin YSu JQin HTian Y(2024)Exploring the Role of Video Playback Visual Cues in Object Retrieval TasksSensors10.3390/s2410314724:10(3147)Online publication date: 15-May-2024
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Oshimi HPerusquía-Hernández MIsoyama NUchiyama HKiyokawa KWard JMcGill MMarky K(2023)LocatAR: An AR Object Search Assistance System for a Shared SpaceProceedings of the Augmented Humans International Conference 202310.1145/3582700.3582712(66-76)Online publication date: 12-Mar-2023
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Prange SAlt F(2023)Increasing Users’ Privacy Awareness in the Internet of Things: Design Space and Sample ScenariosHuman Factors in Privacy Research10.1007/978-3-031-28643-8_16(321-336)Online publication date: 10-Mar-2023
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Index Terms

Representing indoor location of objects on wearable computers with head-mounted displays
1. Human-centered computing
  1. Human computer interaction (HCI)

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Information & Contributors

Information

Published In

AH '14: Proceedings of the 5th Augmented Human International Conference

March 2014

249 pages

ISBN:9781450327619

DOI:10.1145/2582051

General Chair:
Tsutomu Terada
Kobe University, Japan
,
Program Chairs:
Masahiko Inami
Keio University, Japan
,
Kai Kunze
Osaka Prefecture University, Japan
,
Takuya Nojima
University of Electro-communications, Japan

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: 07 March 2014

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AH '14

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MEET IN KOBE 21st Century

AH '14: 5th Augmented Human International Conference

March 7 - 8, 2014

Kobe, Japan

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Overall Acceptance Rate 121 of 306 submissions, 40%

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Cited By

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Oshimi HPerusquía-Hernández MIsoyama NUchiyama HKiyokawa KWard JMcGill MMarky K(2023)LocatAR: An AR Object Search Assistance System for a Shared SpaceProceedings of the Augmented Humans International Conference 202310.1145/3582700.3582712(66-76)Online publication date: 12-Mar-2023
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Prange SAlt F(2023)Increasing Users’ Privacy Awareness in the Internet of Things: Design Space and Sample ScenariosHuman Factors in Privacy Research10.1007/978-3-031-28643-8_16(321-336)Online publication date: 10-Mar-2023
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