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CrowdSurfer: Seamlessly Integrating Crowd-Feedback Tasks nto Everyday Internet Surfing

Haug, Saskia ORCID iD icon 1; Benke, Ivo 1; Fischer, Daniel 1; Maedche, Alexander 1
1 Institut für Wirtschaftsinformatik und Marketing (IISM), Karlsruher Institut für Technologie (KIT)

Abstract:

Crowd feedback overcomes scalability issues of feedback collection on interactive website designs. However, collecting feedback on crowdsourcing platforms decouples the feedback provider from the context of use. This creates more effort for crowdworkers to immerse into such context in crowdsourcing tasks. In this paper, we present CrowdSurfer, a browser extension that seamlessly integrates design feedback collection in crowdworkers’ everyday internet surfing. This enables the scalable collection of in situ feedback and, in parallel, allows crowdworkers to flexibly integrate their work into their daily activities. In a field study, we compare the CrowdSurfer against traditional feedback collection. Our qualitative and quantitative results reveal that, while in situ feedback with the CrowdSurfer is not necessarily better, crowdworkers appreciate the effortless, enjoyable, and innovative method to conduct feedback tasks. We contribute with our findings on in situ feedback collection and provide recommendations for the integration of crowdworking tasks in everyday internet surfing.


Postprint §
DOI: 10.5445/IR/1000157011
Veröffentlicht am 27.03.2023
Originalveröffentlichung
DOI: 10.1145/3544548.3580994
Scopus
Zitationen: 2
Dimensions
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Wirtschaftsinformatik und Marketing (IISM)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2023
Sprache Englisch
Identifikator ISBN: 978-1-4503-9421-5
KITopen-ID: 1000157011
HGF-Programm 46.24.01 (POF IV, LK 01) Applied TA: Digitalizat. & Automat. Socio-Technical Change
Erschienen in CHI '23: CHI Conference on Human Factors in Computing Systems Hamburg Germany April 23 - 28, 2023. Ed.: A. Schmidt
Veranstaltung Conference on Human Factors in Computing Systems (CHI 2023), Hamburg, Deutschland, 23.04.2023 – 28.04.2023
Verlag Association for Computing Machinery (ACM)
Seiten Art.-Nr.: 553
Vorab online veröffentlicht am 19.04.2023
Schlagwörter Crowd-feedback system, crowdsourcing, design feedback, browser extension
Nachgewiesen in Scopus
Dimensions
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