Ask Me or Tell Me? Enhancing the Effectiveness of Crowdsourced Design Feedback
Fritz Lekschas, Spyridon Ampanavos, Pao Siangliulue, Hanspeter Pfister, Krzysztof Z. Gajos
摘要
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 influence the perceived usefulness and acceptance of feedback and, subsequently, lead to ineffective design revisions. To enhance the effectiveness of crowdsourced design feedback, we investigate a new approach for mitigating the effects 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 effects 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.
• Human-centered computing → Human computer interaction (HCI).
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper5
- Demystifying Tacit Knowledge in Graphic Design: Characteristics, Instances, Approaches, and GuidelinesKihoon Son, DaEun Choi, Tae Soo Kim, Juho KimCHI 2024 · 被引用 14 次
- The State of Pilot Study Reporting in Crowdsourcing: A Reflection on Best Practices and GuidelinesJonas Oppenlaender, Tahir Abbas, Ujwal GadirajuCSCW 2024 · 被引用 10 次
- What Makes Creators Engage with Online Critiques? Understanding the Role of Artifacts' Creation Stage, Characteristics of Community Comments, and their InteractionsQingyu Guo, Chao Zhang, Hanfang Lyu, Zhenhui Peng 等CHI 2023 · 被引用 10 次
- Aligning Crowdworker Perspectives and Feedback Outcomes in Crowd-Feedback System DesignSaskia Haug, Ivo Benke, Alexander MaedcheCSCW 2023 · 被引用 9 次
- From Answer Givers to Design Mentors: Guiding LLMs with the Cognitive Apprenticeship ModelYongsu Ahn, Lejun R. Liao, Benjamin Bach, Nam Wook KimCHI 2026 · 被引用 1 次
相关 Paper
- Hardhats and Bungaloos: Comparing Crowdsourced Design Feedback with Peer Design Feedback in the ClassroomJonas Oppenlaender, Elina Kuosmanen, Andrés Lucero, Simo HosioCHI 2021 · 被引用 12 次
- CrowdSurfer: Seamlessly Integrating Crowd-Feedback Tasks into Everyday Internet SurfingSaskia Haug, Ivo Benke, Daniel Fischer, Alexander MaedcheCHI 2023 · 被引用 3 次
- Better Feedback from Nicer People: Narrative Empathy and Ingroup Framing Improve Feedback ExchangeY. Wayne Wu, Brian P. BaileyCSCW 2020 · 被引用 12 次
- The Influences of Task Design on Crowdsourced Judgement: A Case Study of Recidivism Risk EvaluationXiaoni Duan, Chien-Ju Ho, Ming YinWWW 2022 · 被引用 16 次
- Decipher: An Interactive Visualization Tool for Interpreting Unstructured Design Feedback from Multiple ProvidersYu-Chun (Grace) Yen, Joy O. Kim, Brian P. BaileyCHI 2020 · 被引用 27 次
