Intelligent Mobile Crowd Design Platform

我们建议CrowdDesign：一个新颖的基于众包的设计/评估平台，允许与异构用户群体一起发展设计概念，提供上下文感知分析并利用最终用户的创造力。CrowdDesign中的一个中心概念是一个设计小程序-一个特定的用户界面设计，例如加热控制界面或智能遥控器的原型，与简单的用户任务（例如设置所需的温度或选择频道）相结合。为了简化Designlets的开发，CrowdDesign将建立在Google Android现有的开发框架之上，并扩展其高级和灵活的设计环境，以最大限度地减少编码工作。设计师通过CrowdDesign平台提交一个designlet，然后将其分发给数千名使用CrowdDesign移动的应用程序的志愿者。然后，该应用程序将designlet编织成应用程序中的一个吸引人的工作流程，该工作流程旨在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，将参与者处理Designlet中规定任务的使用数据提供给设计师。通过车载移动终端传感器收集的上下文数据将提供给设计师，以了解广泛的交互上下文，例如参与者在参与设计时是站着不动还是走路。CrowdDesign依赖于内在动机来吸引、吸引和留住用户。该提案所解决的根本问题是，在现实使用环境中评估具有大量代表性用户群体的用户界面设计的难度。这对于设计师充分强调最终用户至关重要。不幸的是，招募实验室研究的参与者也是耗时和昂贵的，并且这些研究通常无法捕获重要的设计含义。CrowdDesign使设计师更容易对新的用户界面设计进行快速的现场评估，主要基于三个观察：1）当前用户界面的一个大子集可以通过商品智能手机和平板电脑准确建模。例如，这样的用户界面通常用于a）移动的应用，B）用于运动障碍用户的界面和c）家用电器界面，例如加热控制; 2）成熟的传感器框架使我们能够自动感知使用的上下文，这进一步帮助设计师强调最终用户;以及3）先前的研究已经令人信服地证明，通过依赖于用户的内在动机，可以将任务众包给数万个用户。然而，先前的研究还没有建立起将众包平台与用户界面设计过程相交织的可行性，也没有试图使平台的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.