000 03506nam a22005655i 4500
001 978-3-319-72700-4
003 DE-He213
005 20220801220656.0
007 cr nn 008mamaa
008 180125s2018 sz | s |||| 0|eng d
020 _a9783319727004
_9978-3-319-72700-4
024 7 _a10.1007/978-3-319-72700-4
_2doi
050 4 _aTK5102.9
072 7 _aTJF
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC008000
_2bisacsh
072 7 _aTJF
_2thema
072 7 _aUYS
_2thema
082 0 4 _a621.382
_223
100 1 _aNaderi, Babak.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_951703
245 1 0 _aMotivation of Workers on Microtask Crowdsourcing Platforms
_h[electronic resource] /
_cby Babak Naderi.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXIV, 112 p. 42 illus., 8 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aT-Labs Series in Telecommunication Services,
_x2192-2829
505 0 _aIntroduction -- Theoretical Background on Motivation -- Who are Crowdworkers? -- How to Measure Motivation -- What Determines Task Selection Strategies? -- What Influences Workers’ Performance? -- Conclusion and Outlook.
520 _aThis book studies the motivation of crowdworkers to find out how to attract more people and reach a higher quality of outcomes. The book first proposes a taxonomy for studying the motivation of crowdworkers including the potential influencing factors, different types of motivation, and possible consequences and outcomes related to the motivation. Next, the CWMS questionnaire, an instrument for measuring the underlying motivation of crowdworkers is developed. It considers different dimensions of motivation suggested by the Self-Determination Theory of motivation which is a well-established and empirically validated psychological theory used in various domains. This instrument can be used to study the effect of platform and user characteristics on the general motivation of crowdworkers. Later, the task-specific motivation of crowdworkers is studied in detail: Influencing factors are investigated, subjective methods for measuring them are evaluated, a model for predicting worker’s decision on taking a task is proposed, the relative importance of different factors for two populations of crowdworkers is studied, and finally, a model for predicting the expected workload (as one of the major influencing factors) given the task design is proposed.
650 0 _aSignal processing.
_94052
650 0 _aApplication software.
_951704
650 0 _aSocial media.
_916011
650 1 4 _aSignal, Speech and Image Processing .
_931566
650 2 4 _aComputer and Information Systems Applications.
_951705
650 2 4 _aSocial Media.
_916011
710 2 _aSpringerLink (Online service)
_951706
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319726991
776 0 8 _iPrinted edition:
_z9783319727011
776 0 8 _iPrinted edition:
_z9783319891989
830 0 _aT-Labs Series in Telecommunication Services,
_x2192-2829
_951707
856 4 0 _uhttps://doi.org/10.1007/978-3-319-72700-4
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c78819
_d78819