CrowdFound: A mobile crowdsourcing system to find lost items on-the-go

Emily Harburg; Yongsung Kim; Elizabeth M Gerber; Haoqi Zhang

doi:10.1145/2702613.2732757

CrowdFound: A mobile crowdsourcing system to find lost items on-the-go

Emily Harburg, Yongsung Kim, Elizabeth M Gerber, Haoqi Zhang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

We present CrowdFound, a mobile crowdsourcing system to find lost items. CrowdFound allows users to input lost item descriptions on a map [Figure 1] and then sends notifications to users passing near tagged areas. To assess the system's efficacy, we conducted interviews and user testing on CrowdFound. Our results show that users were able to find lost items when using a combination of the notification, map, and item description features. In addition, users were willing to deviate off path to look for lost items, particularly when exercising. Our findings also suggest socio-technical features to promote more effective on-the-go crowdsourced help on microtasks. This research builds our understanding of physical crowdsourcing as a tool for solving societal problems and suggests broader implications for utilizing mobile crowds. Copyright is held by the author/owner(s).

Original language	English (US)
Title of host publication	CHI 2015 - Extended Abstracts Publication of the 33rd Annual CHI Conference on Human Factors in Computing Systems
Subtitle of host publication	Crossings
Publisher	Association for Computing Machinery
Pages	1537-1542
Number of pages	6
Volume	18
ISBN (Electronic)	9781450331463
DOIs	https://doi.org/10.1145/2702613.2732757
State	Published - Apr 18 2015
Event	33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015 - Seoul, Korea, Republic of Duration: Apr 18 2015 → Apr 23 2015

Other

Other	33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015
Country/Territory	Korea, Republic of
City	Seoul
Period	4/18/15 → 4/23/15

Keywords

Help-seeking
Mobile crowdsourcing
On-the-go crowdsourcing
Physical crowdsourcing
Social computing

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Graphics and Computer-Aided Design

Access to Document

10.1145/2702613.2732757

Cite this

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title = "CrowdFound: A mobile crowdsourcing system to find lost items on-the-go",

abstract = "We present CrowdFound, a mobile crowdsourcing system to find lost items. CrowdFound allows users to input lost item descriptions on a map [Figure 1] and then sends notifications to users passing near tagged areas. To assess the system's efficacy, we conducted interviews and user testing on CrowdFound. Our results show that users were able to find lost items when using a combination of the notification, map, and item description features. In addition, users were willing to deviate off path to look for lost items, particularly when exercising. Our findings also suggest socio-technical features to promote more effective on-the-go crowdsourced help on microtasks. This research builds our understanding of physical crowdsourcing as a tool for solving societal problems and suggests broader implications for utilizing mobile crowds. Copyright is held by the author/owner(s).",

keywords = "Help-seeking, Mobile crowdsourcing, On-the-go crowdsourcing, Physical crowdsourcing, Social computing",

author = "Emily Harburg and Yongsung Kim and Gerber, {Elizabeth M} and Haoqi Zhang",

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doi = "10.1145/2702613.2732757",

language = "English (US)",

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booktitle = "CHI 2015 - Extended Abstracts Publication of the 33rd Annual CHI Conference on Human Factors in Computing Systems",

publisher = "Association for Computing Machinery",

note = "33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015 ; Conference date: 18-04-2015 Through 23-04-2015",

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Harburg, E, Kim, Y, Gerber, EM & Zhang, H 2015, CrowdFound: A mobile crowdsourcing system to find lost items on-the-go. in CHI 2015 - Extended Abstracts Publication of the 33rd Annual CHI Conference on Human Factors in Computing Systems: Crossings. vol. 18, Association for Computing Machinery, pp. 1537-1542, 33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015, Seoul, Korea, Republic of, 4/18/15. https://doi.org/10.1145/2702613.2732757

CrowdFound : A mobile crowdsourcing system to find lost items on-the-go. / Harburg, Emily; Kim, Yongsung; Gerber, Elizabeth M ; Zhang, Haoqi.

CHI 2015 - Extended Abstracts Publication of the 33rd Annual CHI Conference on Human Factors in Computing Systems: Crossings. Vol. 18 Association for Computing Machinery, 2015. p. 1537-1542.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Kim, Yongsung

AU - Gerber, Elizabeth M

AU - Zhang, Haoqi

PY - 2015/4/18

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AB - We present CrowdFound, a mobile crowdsourcing system to find lost items. CrowdFound allows users to input lost item descriptions on a map [Figure 1] and then sends notifications to users passing near tagged areas. To assess the system's efficacy, we conducted interviews and user testing on CrowdFound. Our results show that users were able to find lost items when using a combination of the notification, map, and item description features. In addition, users were willing to deviate off path to look for lost items, particularly when exercising. Our findings also suggest socio-technical features to promote more effective on-the-go crowdsourced help on microtasks. This research builds our understanding of physical crowdsourcing as a tool for solving societal problems and suggests broader implications for utilizing mobile crowds. Copyright is held by the author/owner(s).

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CrowdFound: A mobile crowdsourcing system to find lost items on-the-go

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Keywords

ASJC Scopus subject areas

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