Acceptance of Mobile Technology for Citizen Science in Water Resource Management
AbstractDutch water management is considered highly efficient, but it faces a lack of public awareness and other certain physical challenges. One proposed strategy to deal with these challenges includes increasing citizen participation and citizen science using mobile devices in particular. Such mob...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Minkman, Ellen [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Rechteinformationen: |
Nutzungsrecht: © 2016 American Society of Civil Engineers |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Journal of irrigation and drainage engineering - New York, NY : Soc., 1983, (2016) |
|---|---|
| Übergeordnetes Werk: |
year:2016 |
| Links: |
|---|
| DOI / URN: |
10.1061/(ASCE)IR.1943-4774.0001043 |
|---|
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OLC1979866996 |
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| 520 | |a AbstractDutch water management is considered highly efficient, but it faces a lack of public awareness and other certain physical challenges. One proposed strategy to deal with these challenges includes increasing citizen participation and citizen science using mobile devices in particular. Such mobile crowd sensing (MCS) can be used to enhance canal operations and model predictive control (MPC) by nonexperts. The data collector often pushes implementations, and little knowledge and experience from the field of product design is used. This can lead to underperformance both with regards to the technology and the volunteer citizens. This study uses an adapted Technology Acceptance Model 3 (TAM3) to survey Dutch citizens’ intentions while operating a mock-up smartphone application to identify key drivers of their acceptance in an early design phase. Included among the important drivers of citizens’ behavioral intentions (BI) are usefulness, relevance to the task, and the demonstrability of benefits. These insights can possibly unveil validated design criteria for future MCS applications. Such validated criteria can not only prevent the underperformance of citizen science from a volunteer point of view, but it can also affect the performance of the MCS as well. | ||
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10.1061/(ASCE)IR.1943-4774.0001043 doi PQ20161012 (DE-627)OLC1979866996 (DE-599)GBVOLC1979866996 (PRQ)a983-f65cd45f22b697a945399709cc18c92c0607109aae17340d72e063ec3c061c610 (KEY)0025300620160000000000000000acceptanceofmobiletechnologyforcitizenscienceinwat DE-627 ger DE-627 rakwb eng 690 ZDB 48.34 bkl Minkman, Ellen verfasserin aut Acceptance of Mobile Technology for Citizen Science in Water Resource Management 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier AbstractDutch water management is considered highly efficient, but it faces a lack of public awareness and other certain physical challenges. One proposed strategy to deal with these challenges includes increasing citizen participation and citizen science using mobile devices in particular. Such mobile crowd sensing (MCS) can be used to enhance canal operations and model predictive control (MPC) by nonexperts. The data collector often pushes implementations, and little knowledge and experience from the field of product design is used. This can lead to underperformance both with regards to the technology and the volunteer citizens. This study uses an adapted Technology Acceptance Model 3 (TAM3) to survey Dutch citizens’ intentions while operating a mock-up smartphone application to identify key drivers of their acceptance in an early design phase. Included among the important drivers of citizens’ behavioral intentions (BI) are usefulness, relevance to the task, and the demonstrability of benefits. These insights can possibly unveil validated design criteria for future MCS applications. Such validated criteria can not only prevent the underperformance of citizen science from a volunteer point of view, but it can also affect the performance of the MCS as well. Nutzungsrecht: © 2016 American Society of Civil Engineers Technical Note Technical Notes van der Sanden, Maarten C. A oth Rutten, Martine M oth Enthalten in Journal of irrigation and drainage engineering New York, NY : Soc., 1983 (2016) (DE-627)129381411 (DE-600)165228-X (DE-576)014766213 0733-9437 nnns year:2016 http://dx.doi.org/10.1061/(ASCE)IR.1943-4774.0001043 Volltext http://ascelibrary.org/doi/abs/10.1061/(ASCE)IR.1943-4774.0001043 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2014 GBV_ILN_4700 48.34 AVZ AR 2016 |
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10.1061/(ASCE)IR.1943-4774.0001043 doi PQ20161012 (DE-627)OLC1979866996 (DE-599)GBVOLC1979866996 (PRQ)a983-f65cd45f22b697a945399709cc18c92c0607109aae17340d72e063ec3c061c610 (KEY)0025300620160000000000000000acceptanceofmobiletechnologyforcitizenscienceinwat DE-627 ger DE-627 rakwb eng 690 ZDB 48.34 bkl Minkman, Ellen verfasserin aut Acceptance of Mobile Technology for Citizen Science in Water Resource Management 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier AbstractDutch water management is considered highly efficient, but it faces a lack of public awareness and other certain physical challenges. One proposed strategy to deal with these challenges includes increasing citizen participation and citizen science using mobile devices in particular. Such mobile crowd sensing (MCS) can be used to enhance canal operations and model predictive control (MPC) by nonexperts. The data collector often pushes implementations, and little knowledge and experience from the field of product design is used. This can lead to underperformance both with regards to the technology and the volunteer citizens. This study uses an adapted Technology Acceptance Model 3 (TAM3) to survey Dutch citizens’ intentions while operating a mock-up smartphone application to identify key drivers of their acceptance in an early design phase. Included among the important drivers of citizens’ behavioral intentions (BI) are usefulness, relevance to the task, and the demonstrability of benefits. These insights can possibly unveil validated design criteria for future MCS applications. Such validated criteria can not only prevent the underperformance of citizen science from a volunteer point of view, but it can also affect the performance of the MCS as well. Nutzungsrecht: © 2016 American Society of Civil Engineers Technical Note Technical Notes van der Sanden, Maarten C. A oth Rutten, Martine M oth Enthalten in Journal of irrigation and drainage engineering New York, NY : Soc., 1983 (2016) (DE-627)129381411 (DE-600)165228-X (DE-576)014766213 0733-9437 nnns year:2016 http://dx.doi.org/10.1061/(ASCE)IR.1943-4774.0001043 Volltext http://ascelibrary.org/doi/abs/10.1061/(ASCE)IR.1943-4774.0001043 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2014 GBV_ILN_4700 48.34 AVZ AR 2016 |
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Acceptance of Mobile Technology for Citizen Science in Water Resource Management |
| abstract |
AbstractDutch water management is considered highly efficient, but it faces a lack of public awareness and other certain physical challenges. One proposed strategy to deal with these challenges includes increasing citizen participation and citizen science using mobile devices in particular. Such mobile crowd sensing (MCS) can be used to enhance canal operations and model predictive control (MPC) by nonexperts. The data collector often pushes implementations, and little knowledge and experience from the field of product design is used. This can lead to underperformance both with regards to the technology and the volunteer citizens. This study uses an adapted Technology Acceptance Model 3 (TAM3) to survey Dutch citizens’ intentions while operating a mock-up smartphone application to identify key drivers of their acceptance in an early design phase. Included among the important drivers of citizens’ behavioral intentions (BI) are usefulness, relevance to the task, and the demonstrability of benefits. These insights can possibly unveil validated design criteria for future MCS applications. Such validated criteria can not only prevent the underperformance of citizen science from a volunteer point of view, but it can also affect the performance of the MCS as well. |
| abstractGer |
AbstractDutch water management is considered highly efficient, but it faces a lack of public awareness and other certain physical challenges. One proposed strategy to deal with these challenges includes increasing citizen participation and citizen science using mobile devices in particular. Such mobile crowd sensing (MCS) can be used to enhance canal operations and model predictive control (MPC) by nonexperts. The data collector often pushes implementations, and little knowledge and experience from the field of product design is used. This can lead to underperformance both with regards to the technology and the volunteer citizens. This study uses an adapted Technology Acceptance Model 3 (TAM3) to survey Dutch citizens’ intentions while operating a mock-up smartphone application to identify key drivers of their acceptance in an early design phase. Included among the important drivers of citizens’ behavioral intentions (BI) are usefulness, relevance to the task, and the demonstrability of benefits. These insights can possibly unveil validated design criteria for future MCS applications. Such validated criteria can not only prevent the underperformance of citizen science from a volunteer point of view, but it can also affect the performance of the MCS as well. |
| abstract_unstemmed |
AbstractDutch water management is considered highly efficient, but it faces a lack of public awareness and other certain physical challenges. One proposed strategy to deal with these challenges includes increasing citizen participation and citizen science using mobile devices in particular. Such mobile crowd sensing (MCS) can be used to enhance canal operations and model predictive control (MPC) by nonexperts. The data collector often pushes implementations, and little knowledge and experience from the field of product design is used. This can lead to underperformance both with regards to the technology and the volunteer citizens. This study uses an adapted Technology Acceptance Model 3 (TAM3) to survey Dutch citizens’ intentions while operating a mock-up smartphone application to identify key drivers of their acceptance in an early design phase. Included among the important drivers of citizens’ behavioral intentions (BI) are usefulness, relevance to the task, and the demonstrability of benefits. These insights can possibly unveil validated design criteria for future MCS applications. Such validated criteria can not only prevent the underperformance of citizen science from a volunteer point of view, but it can also affect the performance of the MCS as well. |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2014 GBV_ILN_4700 |
| title_short |
Acceptance of Mobile Technology for Citizen Science in Water Resource Management |
| url |
http://dx.doi.org/10.1061/(ASCE)IR.1943-4774.0001043 http://ascelibrary.org/doi/abs/10.1061/(ASCE)IR.1943-4774.0001043 |
| remote_bool |
false |
| author2 |
van der Sanden, Maarten C. A Rutten, Martine M |
| author2Str |
van der Sanden, Maarten C. A Rutten, Martine M |
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129381411 |
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| doi_str |
10.1061/(ASCE)IR.1943-4774.0001043 |
| up_date |
2024-07-04T01:52:34.752Z |
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