PARTICIPATORY SENSING: DEMOGRAPHIC DETERMINANTS OF INCENTIVE EFFECTIVENESS AND A FRAMEWORK FOR ESTABLISHING INCENTIVE DESIGN GUIDELINES

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Omokaro, O. (2014). PARTICIPATORY SENSING: DEMOGRAPHIC DETERMINANTS OF INCENTIVE EFFECTIVENESS AND A FRAMEWORK FOR ESTABLISHING INCENTIVE DESIGN GUIDELINES. Unc Charlotte Electronic Theses And Dissertations.
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Abstract

Participatory sensing, in which volunteers use the sensors on their smartphones to capture and transmit digital samples of the surrounding environment, shows promise for large-scale data collection. Recently, researchers have begun to explore the use of incentives to motivate participation in these kinds of data collection campaigns. This study investigates the influence of demographics on the effectiveness of incentives to motivate volunteer data collection in participatory sensing. The hypothesis that age, sex, ethnicity and education have an influence on the effectiveness of incentives to promote volunteer participation in a data collection campaign was evaluated via a large-scale survey of 260 respondents. Findings showed that the demographic of age had an influence on social motivation. These findings were validated in a real-world participatory sensing context, using two user studies. The user studies were conducted using participatory sensing applications developed and deployed in two different domains. The two user studies (a) Foodie Frenzy and (b) Watch it Bloom measured motivation and engagement via a pre-survey and a post survey respectively. Findings from both studies were used in the evaluation of a framework designed to provide a generalized reusable solution for the selection of incentives in the participatory sensing domain. The implication of this research is its potential to close the gap in the process of developing and selecting targeted incentives to motivate and encourage sustained volunteer participation in the field of participatory sensing.

Details
Author

Omokaro, Osarieme

Title

PARTICIPATORY SENSING: DEMOGRAPHIC DETERMINANTS OF INCENTIVE EFFECTIVENESS AND A FRAMEWORK FOR ESTABLISHING INCENTIVE DESIGN GUIDELINES

Physical Description

1 online resource (127 pages) : PDF

Date

2014

Degree Granting Institution

University of North Carolina at Charlotte

Abstract

Participatory sensing, in which volunteers use the sensors on their smartphones to capture and transmit digital samples of the surrounding environment, shows promise for large-scale data collection. Recently, researchers have begun to explore the use of incentives to motivate participation in these kinds of data collection campaigns. This study investigates the influence of demographics on the effectiveness of incentives to motivate volunteer data collection in participatory sensing. The hypothesis that age, sex, ethnicity and education have an influence on the effectiveness of incentives to promote volunteer participation in a data collection campaign was evaluated via a large-scale survey of 260 respondents. Findings showed that the demographic of age had an influence on social motivation. These findings were validated in a real-world participatory sensing context, using two user studies. The user studies were conducted using participatory sensing applications developed and deployed in two different domains. The two user studies (a) Foodie Frenzy and (b) Watch it Bloom measured motivation and engagement via a pre-survey and a post survey respectively. Findings from both studies were used in the evaluation of a framework designed to provide a generalized reusable solution for the selection of incentives in the participatory sensing domain. The implication of this research is its potential to close the gap in the process of developing and selecting targeted incentives to motivate and encourage sustained volunteer participation in the field of participatory sensing.

Genre

doctoral dissertations

Subjects--Topics

Computer science

Degree

Ph.D.

Keywords

Crowd Sensing
Framework
Incentives
Mobile Sensor Networks
Niger Delta
Participatory Sensing

Subject Area

Computer Science

Advisor(s)

Payton, Jamie

Committee Members

Maher, Mary Lou
Lipford, Heather
Subramanian, Kalpathi
Goolkasian, Paula

Degree Note

Thesis (Ph.D.)--University of North Carolina at Charlotte, 2014.

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Rights Holder Information

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Identifier

Omokaro_uncc_0694D_10657

Permalink

http://hdl.handle.net/20.500.13093/etd:725