Standard

Modeling CrowdSourcing Scenarios in Socially-Enabled Human Computation Applications. / Bozzon, Alessandro; Galli, Luca ; Fraternali, Piero; Karam, Roula.

In: Journal on Data Semantics, Vol. 3, No. 3, 03.12.2013, p. 169-188.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Bozzon, A, Galli, L, Fraternali, P & Karam, R 2013, 'Modeling CrowdSourcing Scenarios in Socially-Enabled Human Computation Applications', Journal on Data Semantics, vol. 3, no. 3, pp. 169-188. <http://dx.doi.org/10.1007/s13740-013-0032-2>

APA

Bozzon, A., Galli, L., Fraternali, P., & Karam, R. (2013). Modeling CrowdSourcing Scenarios in Socially-Enabled Human Computation Applications. Journal on Data Semantics, 3(3), 169-188. http://dx.doi.org/10.1007/s13740-013-0032-2

Vancouver

Bozzon A, Galli L, Fraternali P, Karam R. Modeling CrowdSourcing Scenarios in Socially-Enabled Human Computation Applications. Journal on Data Semantics. 2013 Dec 3;3(3):169-188.

Author

Bozzon, Alessandro ; Galli, Luca ; Fraternali, Piero ; Karam, Roula. / Modeling CrowdSourcing Scenarios in Socially-Enabled Human Computation Applications. In: Journal on Data Semantics. 2013 ; Vol. 3, No. 3. pp. 169-188.

BibTeX

@article{bfd644f7ef3e4a4eb59e1d08a773e584,
title = "Modeling CrowdSourcing Scenarios in Socially-Enabled Human Computation Applications",
abstract = "User models have been defined since the 1980s, mainly for the purpose of building context-based, user-adaptive applications. However, the advent of social networked media, serious games, and crowdsourcing/human computation platforms calls for a more pervasive notion of user model, capable of representing the multiple facets of social users and performers, including their social ties, interests, capabilities, activity history, and topical affinities. In this paper, we define a comprehensive model able to cater for all the aspects relevant for applications involving social networks and human computation; we capitalize on existing social user models and content description models, enhancing them with novel models for human computation and gaming activities representation. Finally, we report on our experiences in adopting the proposed model in the design and implementation of three socially enabled human computation platforms.",
keywords = "Crowdsourcing , Human computation, User modeling , Social networks , Serious games",
author = "Alessandro Bozzon and Luca Galli and Piero Fraternali and Roula Karam",
year = "2013",
month = dec,
day = "3",
language = "English",
volume = "3",
pages = "169--188",
journal = "Journal on Data Semantics",
issn = "1861-2032",
publisher = "Springer",
number = "3",

}

RIS

TY - JOUR

T1 - Modeling CrowdSourcing Scenarios in Socially-Enabled Human Computation Applications

AU - Bozzon, Alessandro

AU - Galli, Luca

AU - Fraternali, Piero

AU - Karam, Roula

PY - 2013/12/3

Y1 - 2013/12/3

N2 - User models have been defined since the 1980s, mainly for the purpose of building context-based, user-adaptive applications. However, the advent of social networked media, serious games, and crowdsourcing/human computation platforms calls for a more pervasive notion of user model, capable of representing the multiple facets of social users and performers, including their social ties, interests, capabilities, activity history, and topical affinities. In this paper, we define a comprehensive model able to cater for all the aspects relevant for applications involving social networks and human computation; we capitalize on existing social user models and content description models, enhancing them with novel models for human computation and gaming activities representation. Finally, we report on our experiences in adopting the proposed model in the design and implementation of three socially enabled human computation platforms.

AB - User models have been defined since the 1980s, mainly for the purpose of building context-based, user-adaptive applications. However, the advent of social networked media, serious games, and crowdsourcing/human computation platforms calls for a more pervasive notion of user model, capable of representing the multiple facets of social users and performers, including their social ties, interests, capabilities, activity history, and topical affinities. In this paper, we define a comprehensive model able to cater for all the aspects relevant for applications involving social networks and human computation; we capitalize on existing social user models and content description models, enhancing them with novel models for human computation and gaming activities representation. Finally, we report on our experiences in adopting the proposed model in the design and implementation of three socially enabled human computation platforms.

KW - Crowdsourcing

KW - Human computation

KW - User modeling

KW - Social networks

KW - Serious games

M3 - Article

VL - 3

SP - 169

EP - 188

JO - Journal on Data Semantics

JF - Journal on Data Semantics

SN - 1861-2032

IS - 3

ER -

ID: 15549664