Ask me or tell me? enhancing the efectiveness of crowdsourced design feedback

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Abstract

Crowdsourced design feedback systems are emerging resources for getting large amounts of feedback in a short period of time. Traditionally, the feedback comes in the form of a declarative statement, which often contains positive or negative sentiment. Prior research has shown that overly negative or positive sentiment can strongly infuence the perceived usefulness and acceptance of feedback and, subsequently, lead to inefective design revisions. To enhance the effectiveness of crowdsourced design feedback, we investigate a new approach for mitigating the efects of negative or positive feedback by combining open-ended and thought-provoking questions with declarative feedback statements. We conducted two user studies to assess the efects of question-based feedback on the sentiment and quality of design revisions in the context of graphic design.We found that crowdsourced question-based feedback contains more neutral sentiment than statement-based feedback. Moreover, we provide evidence that presenting feedback as questions followed by statements leads to better design revisions than question-or statement-based feedback alone.

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Lekschas, F., Ampanavos, S., & Siangliulue, P. (2021). Ask me or tell me? enhancing the efectiveness of crowdsourced design feedback. In Conference on Human Factors in Computing Systems - Proceedings. Association for Computing Machinery. https://doi.org/10.1145/3411764.3445507

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