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Mobile Collaboration for Human and Canine Police Explosive Detection Teams

Authors:

Joelle Alcaidinho,

Bradley Wittenbrook,

Giancarlo Valentin,

Melody JacksonAuthors Info & Claims

CSCW '17: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

Pages 925 - 933

https://doi.org/10.1145/2998181.2998271

Published: 25 February 2017 Publication History

Abstract

We designed a communication system for law enforcement officers to use when conducting explosive detection searches with multiple agencies. Dogs trained in explosive detection work alongside human handlers to form a K9 team, which are an integral part of these searches. Officers in K9 teams have a strong bond and communication with these dogs, but noisy locations, long distances, and crowded spaces present challenges. In addition, other officers assigned as backup often lack the experience to read the cues from the canine, which hinders the speed and effectiveness of the team. Coordinating a search with teams from different municipalities presents challenges due to a lack of standard collaboration tools. Getting the right information as quickly as possible saves lives, whether this information is about the areas that have been searched or the location of an explosive device. We hope that in addition to increasing public safety, our system will make working conditions safer for law enforcement officers and their canines.

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Index Terms

Mobile Collaboration for Human and Canine Police Explosive Detection Teams
1. Human-centered computing
  1. Collaborative and social computing

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cover image ACM Conferences

CSCW '17: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

February 2017

2556 pages

ISBN:9781450343350

DOI:10.1145/2998181

General Chairs:
Charlotte P. Lee
University of Washington
,
Steve Poltrock
Retired
,
Program Chairs:
Louise Barkhuus
Stockholm University and Cornell Tech
,
Marcos Borges
Universidade Federal do Rio de Janeiro
,
Wendy Kellogg
IBM T.J. Watson Research Center

Copyright © 2017 ACM.

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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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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New York, NY, United States

Publication History

Published: 25 February 2017

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National Science Foundation
Intel Corporation
Georgia Tech Wearable Computing Center

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CSCW '17

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SIGCHI

CSCW '17: Computer Supported Cooperative Work and Social Computing

February 25 - March 1, 2017

Oregon, Portland, USA

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CSCW '17 Paper Acceptance Rate 183 of 530 submissions, 35%;

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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Cited By

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https://dl.acm.org/doi/10.1145/3637382
Moster MKokinda ERodeghero PMcNeese N(2023)Both Sides of the Story: Changing the "Pre-existing Culture of Dread" Surrounding Student Teamwork in Breakout RoomsProceedings of the ACM on Human-Computer Interaction10.1145/35794637:CSCW1(1-33)Online publication date: 16-Apr-2023
https://dl.acm.org/doi/10.1145/3579463
Yu TVenkatagiri SLourentzou ILuther K(2023)Sedition Hunters: A Quantitative Study of the Crowdsourced Investigation into the 2021 U.S. Capitol AttackProceedings of the ACM Web Conference 202310.1145/3543507.3583514(3849-3858)Online publication date: 30-Apr-2023
https://dl.acm.org/doi/10.1145/3543507.3583514
Hirskyj-Douglas I(2023)Systematic iterative design of interactive devices for animalsInteraction Studies. Social Behaviour and Communication in Biological and Artificial SystemsInteraction Studies / Social Behaviour and Communication in Biological and Artificial SystemsInteraction Studies10.1075/is.22045.hir24:2(225-256)Online publication date: 3-Nov-2023
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Belghith YVenkatagiri SLuther K(2022)Compete, Collaborate, Investigate: Exploring the Social Structures of Open Source Intelligence InvestigationsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517526(1-18)Online publication date: 29-Apr-2022
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Abraham SAbderhalden FMatusiak M(2022)Canine/handler relationships: a descriptive mixed-methods analysis of handlers' well-being and stressPolicing: An International Journal10.1108/PIJPSM-04-2022-004945:6(908-923)Online publication date: 18-Jul-2022
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Robinson CTorjussen AWakkary RAndersen KOdom WDesjardins APetersen M(2020)Canine Co-designProceedings of the 2020 ACM Designing Interactive Systems Conference10.1145/3357236.3395462(1673-1685)Online publication date: 3-Jul-2020
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