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Investigating Factors Influencing Crowdsourcing Tasks withHigh Imaginative Load
Raynor VliegendhartMartha LarsonChristoph KoflerCarsten Eickhoff (speaker)Johan Pouwelse
WSDM 2011 Workshop on Crowdsourcing for Search and Data Mining (CSDM 2011),Hong Kong, China, February 9–12, 2011.
4
• That title sounds pretty esoteric. What is this all about?
• We are dealing with two phenomena:• HIT titles that try to prepare the worker for the task• HITs that require the worker to project into different roles or
situation
• We refer to this property of HITs as “Imaginative Load”
OFirst Things First
6
• Evaluation context:
• Novel search-related feature for a file-sharing system
• Term clouds as content descriptors
• Required the workers to project themselves into the role of
a user
IWhy “Imaginative Load”?
7
The actual HIT was preceded by a recruitment step:
RWhy “Imaginative Load”?
Recruitment HIT
100/100
Evaluation HIT0/405
QualifiedWorkers
8181
8
The turnout:
RWhy “Imaginative Load”?
Recruitment HIT
100/100
Evaluation HIT10/4054
QualifiedWorkers
81
9
Perhaps we need more eligible workers?
RWhy “Imaginative Load”?
Recruitment HIT
100/100
Evaluation HIT12/4055
Recruitment HIT
100/100
79
QualifiedWorkers
160
10
• HIT uptake is slow• Most workers do not do the actual HIT• If they do, then they don't do many iterations
• Hypothesis:“The recruitment task and the HIT titles were misleading. Once
the workers realised what they were supposed to do they lost interest.”
IObservation I
11
Can workers guess which types of content are available?
• HITs with and without term clouds• Several variations of term clouds
EProjection Into Different Roles
12
Jim and his large circle of friends have a huge collection of files that they are sharing with a very popular file-sharing program. The file-sharing program is a make-believe program. Please imagine that it looks something like this sketch:
FProjection Into Different Roles
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(1) If you could download one of these files, which one would it be?
(1) Why would you choose this particular file for download and viewing?
(1) Think again about the file that you chose.Why did you guess that Jim or one of his friends would have this file in their collection?
VQuestions
14
• Some workers match literally between the mock-up frame and the questions
• The majority of workers is able to generalize from the situation or the mock-up frame
• Hypothesis:“HIT design can enhance the workers' success at completing
projection tasks.”
IObservation II
15
• Answer quality and HIT uptake of under the influence of
• Title• Questionnaire design
• 5 experimental conditions:• 5 HITs per condition• 10 workers per HIT
• $0.10 reward per assignment
EFurther Investigation
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Title conditions1) A: Jim, his friends and a make-believe file-sharing program2) B: Jim, his friends and digital stuff to download3) C: Jim, his friends and interesting stuff to download
EFurther Investigation
17
• All HITs yielded serious results(two assignments rejected due to cheating)
• Title A: more than 2 days to complete
• Title B+C: each completed within a day
RFurther Investigation
18
Question conditions (using Title B):1) No preference questions at all,
only an explanation of all given judgments
2) No justification of preference asked
EFurther Investigation
19
Absence of preference questions:
• Cut and paste strategies possible due to generality of
question
• Serious answers become more verbose to capture the
generalized situation
No explanation of preference:
• Slight decrease in the degree to which the workers
managed to project into Jim and his friends
RFurther Investigation
20
• “High imaginative load” tasks can be successfully run on MTurk
• The key appears to be a combination of:• Signaling to workers the unique nature of the tasks
(which are possibly quite different from those they generally choose)results in faster HIT uptake
• Making each HIT require individualized free-text justification response improves the workers ability of projection and generalization
CConclusions