Intelligent Mobile Crowd Design Platform

我们提出了CrowdDesign：一个新颖的基于众包的设计/评估平台，允许不同用户群体发展设计概念，提供上下文感知分析并利用最终用户的创造力。CrowdDesign的一个核心概念是designlet——一个特定的用户界面设计，比如加热控制界面或智能遥控器的原型，再加上一个简单的用户任务（比如设置所需的温度或选择频道）。为了简化designlets的开发，CrowdDesign将建立在b谷歌Android现有开发框架之上，并扩展其高级和灵活的设计环境，以尽量减少编码工作。设计师通过CrowdDesign平台提交设计let，然后将其分发给使用CrowdDesign手机应用程序的数千名志愿者。该应用程序随后将设计let编织成应用程序中引人入胜的工作流程，该应用程序将使用各种社交功能和游戏化元素来吸引、吸引和留住志愿者。然后通过基于web的分析平台将处理设计let中指定任务的参与者的使用数据提供给设计人员。通过车载移动设备传感器收集的上下文数据将提供给设计师，以便了解更广泛的交互上下文，例如参与者在参与设计时是站立不动还是行走。CrowdDesign依靠内在动机来吸引、吸引和留住用户。本建议要解决的基本问题是，在具有大量代表性用户群体的实际使用环境中评估用户界面设计的困难。这对于设计师充分强调最终用户是至关重要的。不幸的是，招募参与者进行实验室研究既耗时又昂贵，而且此类研究往往无法捕捉到重要的设计含义。CrowdDesign让设计师更容易根据以下三个观察结果对新的用户界面设计进行快速的现场评估：1)当前用户界面的很大一部分可以通过智能手机和平板电脑精确建模。例如，此类用户界面通常用于a)移动应用程序，b)运动障碍用户界面和c)家用电器界面，如加热控制；2)成熟的传感器框架使我们能够自动感知使用环境，这进一步帮助设计师强调最终用户；3)先前的研究已经令人信服地证明，依靠用户的内在动机，将任务众包给成千上万的用户是可能的。然而，以往的研究并没有建立将众包平台与用户界面设计过程交织在一起的可行性，也没有试图使平台参与者成为一等公民。

We propose CrowdDesign: a novel crowdsourcing-based design/evaluation platform that allows evolving design concepts with heterogeneous user groups, provides context-aware analytics and leverages end-users' creativity. A central notion in CrowdDesign is a designlet-a specific user interface design, such as a prototype of a heating control interface or a smart remote control, coupled with a simple user task (such as setting the desired temperature or choosing a channel). To ease the development of designlets, CrowdDesign will be built on top of Google Android's existing development frameworks and extend their high-level and flexible design environment in order to minimise coding efforts. A designer submits a designlet via the CrowdDesign platform, which then distributes it to thousands of volunteers who are using the CrowdDesign mobile app. This app then weaves designlets into an engaging workflow in the app, which will be designed to entice, engage and retain volunteers using a variety of social features and gamification elements. Usage data from participants tackling the prescribed task in the designlet is then provided to the designer via a web-based analytics platform. Contextual data gathered via on-board mobile device sensors will be provided to the designer in order to understand broad interaction contexts, such as whether a participant was standing still or walking when engaging with their design. CrowdDesign relies on intrinsic motivation to entice, engage and retain users.The fundamental problem this proposal is tackling is the difficulty of evaluating user interface designs in realistic use contexts with large representative groups of users. This is critical in order for designers to fully emphasise with end-users. Unfortunately it is also time-consuming and expensive to recruit participants for lab studies and such studies often fail to capture important design implications. CrowdDesign makes it easier for designers to perform rapid in-situ evaluations of new user interface designs based on primarily three observations: 1) a large subset of current user interfaces can be accurately modelled by commodity smartphones and tablets. For instance, such user interfaces are commonly used in a) mobile apps, b) interfaces for users with motor disabilities and c) home appliance interfaces, such as heating controls; 2) mature sensor frameworks enable us to automatically sense the context of use, which further helps designers emphasise with end-users; and 3) prior research has convincingly demonstrated it is possible to crowd source tasks to tens of thousand of users by relying on users' intrinsic motivations. However, prior research has not established the feasibility of interleaving a crowdsourcing platform with a user interface design process and has not attempted to make participants of the platform first-class citizens.