Table 4

Crowdsourced user experience collection of mobile applications

Sl
No.
TitleAuthorsYearAspect(s) coveredChallenges mentioned
1Conversational crowdsourcing made easy (Qiu et al., 2020)Qiu2020To avoid boredom and fatigue associated with crowdsourcing, the authors introduce conversational crowdsourcing systems which are more interactive
A conversational agent is involved. This improved user satisfaction and involvement
Crowdsourcing affects worker satisfaction and performance, challenges of data supply, and worker engagement
2The design of a mobile application for Crowdsourcing in Disaster Risk Reduction (Nguyen et al., 2019)Quynh Nhu Nguyen Antonella Frisiello Claudio Rossi2019Focuses on Crowdsourcing for collecting the crowd’s feedback for the development of a highly response-critical mobile application. An online survey was used to know the potential user’s expectationsSystematize
clean, sort and filter unstructured and unreliable information flow associated with crowdsourcing
3Crowdsourcing interface feature design with Bayesian optimization (Dudley et al., 2019)Dudley, John J., Jason T. Jacques, and Per Ola Kristensson2019Optimizing interface feature design using Bayesian optimization, implemented using crowdsourcingMobile VR app interface design challenge of gaze cueing
4Toward Crowdsourced User Studies for Software evaluation (Daniel et al., 2016)Florian Daniel, Pavel Kucherbaev2016A study on designing effective tasks for collecting user experience via crowdsourcingHow crowdsourced studies can be conducted without compromising the benefits offered by in-lab studies

Source(s): Author’s own work

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