Crowdsourcing creative work

Thesis event information

Date and time of the thesis defence

Place of the thesis defence

L2, Linnanmaa. Remote connection: https://oulu.zoom.us/j/66965024614

Topic of the dissertation

Crowdsourcing creative work

Doctoral candidate

Master of Science Jonas Oppenlaender

Faculty and unit

University of Oulu Graduate School, Faculty of Information Technology and Electrical Engineering, Center for Ubiquitous Computing

Subject of study

Computer Science

Opponent

Associate Professor Juho Kim, Korea Advanced Institute of Science and Technology

Custos

Associate Professor Simo Hosio, Faculty of Information Technology and Electrical Engineering (ITEE)

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Crowdsourcing creative work

Creative work is launched on paid crowdsourcing platforms, yet we lack an in-depth understanding of how the two key stakeholders of crowdsourcing platforms (crowd workers and requesters) perceive and experience creative work. Creativity is a human characteristic that is difficult to automate by machines, and supplying requesters with crowdsourced human insights and complex creative work is, therefore, a timely topic for research. According to valuesensitive design, the integration of human insight into complex sociotechnical systems will need to consider the perspectives of the two key stakeholders.

This articlebased doctoral thesis explores the stakeholder perspectives and experiences of crowdsourced creative work on two of the leading crowdsourcing platforms. The thesis has two parts. In the first part, we explore creative work from the perspective of the crowd worker. In the second part, we explore and study the requester's perspective in different contexts and several case studies.

The research is exploratory and we contribute empirical insights using surveybased and artefact-based approaches common in the field of Human-Computer Interaction (HCI). In the former approach, we explore the key issues that may limit creative work on paid crowdsourcing platforms. In the latter approach, we create computational artefacts to elicit authentic experiences from both crowd workers and requesters of crowdsourced creative work. The thesis contributes a classification of crowd workers into five archetypal profiles, based on the crowd workers' demographics, disposition, and preferences for creative work. We propose a three-part classification of creative work on crowdsourcing platforms: creative tasks, creativity tests, and creativity judgements (also referred to as creative feedback). The thesis further investigates the emerging research topic of how requesters can be supported in interpreting and evaluating complex creative work.

Last, we discuss the design implications for research and practice and contribute a vision of creative work on future crowdsourcing platforms with the aim of empowering crowd workers and fostering an ecosystem around tailored platforms for creative microwork.
Last updated: 7.9.2021