Harnessing Collective Differences in Crowdsourcing Behaviour for Mass Photogrammetry of 3D Cultural Heritage
Harnessing Collective Differences in Crowdsourcing Behaviour for Mass Photogrammetry of 3D Cultural Heritage
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DOI：
10.1145/3569090
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发表时间：
2022-10
影响因子：
2.4
通讯作者：
Danzhao Cheng;Eugene Ch’ng
中科院分区：
文献类型：
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作者：
Danzhao Cheng;Eugene Ch’ng
利用集体行为来实现特定绩效水平和任务完整性的无组织和自组织众包活动尚未得到很好的理解。当存在高度变化的环境时，这种现象变得模糊，特别是对于基于摄影测量的众包3D模型。大众摄影测量可以通过将图像采集任务外包给一群非专家来捕获地理上分散的3D物体，从而使传统的近景摄影测量程序民主化。为了提高公众参与度，我们需要了解在传统的无组织众包中，集体努力中的个人行为是如何发挥作用的，以及如何将其组织起来以获得更好的表现。本研究旨在探讨无组织和自组织的协作众包的有效性。它检查了参与者之间的协作动态，以及如果团队结构被合并，我们可以利用的趋势。提出并构建了两种场景：异步众包，隐含地聚集来自无组织个体的孤立贡献；同步协作众包，将参与者分配到基于人群的自组织团队中。我们的实验表明，在同步工作的自组织团队可以在模型完整性和用户体验方面有效地提高众包摄影测量3D模型。通过我们的研究，我们证明了这种众包机制可以提供一个社会环境，参与者可以通过隐式沟通交换信息，并共同建立一个与他们的责任和任务目标相关的共享心理模型。它激发了参与者的亲社会动机，加强了他们的承诺。随着投入更多的时间和精力，他们积极的主人翁意识会增强，从而培养出更高的奉献精神和更好的贡献。我们的研究结果进一步揭示了在传统的以个人为基础的自愿众包环境中，特别是在数字遗产领域，采用团队结构鼓励有效合作的潜力。
Disorganised and self-organised crowdsourcing activities that harness collective behaviours to achieve a specific level of performance and task completeness are not well understood. Such phenomena become indistinct when highly varied environments are present, particularly for crowdsourcing photogrammetry-based 3D models. Mass photogrammetry can democratise traditional close-range photogrammetry procedures by outsourcing image acquisition tasks to a crowd of non-experts to capture geographically scattered 3D objects. To improve public engagement, we need to understand how individual behaviour in collective efforts work in traditional disorganised crowdsourcing and how it can be organised for better performance. This research aims to investigate the effectiveness of disorganised and self-organised collaborative crowdsourcing. It examines the collaborative dynamics among participants and the trends we could leverage if team structures were incorporated. Two scenarios were proposed and constructed: asynchronous crowdsourcing, which implicitly aggregates isolated contributions from disorganised individuals; and synchronous collaborative crowdsourcing, which assigns participants into a crowd-based self-organised team. Our experiment demonstrated that a self-organised team working in synchrony can effectively improve crowdsourcing photogrammetric 3D models in terms of model completeness and user experience. Through our study, we demonstrated that this crowdsourcing mechanism can provide a social context where participants can exchange information via implicit communication, and collectively build a shared mental model that pertains to their responsibilities and task goals. It stimulates participants’ prosocial motivation and reinforces their commitment. With more time and effort invested, their positive sense of ownership increases, fostering higher dedication and better contribution. Our findings shed further light on the potentials of adopting team structures to encourage effective collaborations in conventionally individual-based voluntary crowdsourcing settings, especially in the digital heritage domain.