Real world testing of a mobile application software tool for tracking moose population

这是一个参与赠款项目，涉及开发驼鹿跟踪和库存管理系统的延续。在该项目的初始阶段，我们测试了几个假设，并发现了一些令人惊讶的结果。例如，诸如排行榜和徽章之类的游戏模型不能激励用户组。事实上，一些与会者认为这是一种侵扰和冒犯。因此，我们缩减了应用程序中的游戏模型。此外，我们采访的100%的猎人都有动力使用该应用程序，唯一的原因是它可以帮助生物学家获得更好的驼鹿种群数据。 在整个项目中，我们将专注于客户参与和数据验证流程。需要解决的一些研究挑战将是：（1）我们如何与使用应用程序的人联系，并在应用程序处于真实的世界环境中后开发客户发现系统？(2)我们如何保持与客户的关系？(3)我们如何有效地从错误的数据中提取有价值的数据？(4)我们如何开发交叉验证工具来衡量数据的质量？

This is a continuation of an Engage Grant Project that involved developing a moose tracking and inventory management system. During the initial stage of that project we tested several assumptions and discovered some surprising results. For example, game models, such as leader-boards and badges do not motivate the user group. In fact some participants found it intrusive and offensive. As a result we have scaled back the game models in the app. Also, 100% of the hunters we interviewed were motivated to use the app for the sole reason it could help biologists get better data on moose populations. Throughout this project, we will focus on customer engagement and data validation processes. Some of the research challenges to be addressed will be: (1) How do we connect with people who are using the app and develop systems for customer discovery after the app is in a real world setting? (2) How do we maintain relationships with the customer? (3) How do we effectively extract valuable data from incorrect data? (4) How do we develop cross validation tools to gauge the quality of data?