Exploring Human Perception and Interaction in Multi-Device Environments

探索多设备环境中的人类感知和交互

• 批准号: RGPIN-2015-06585
• 负责人: Wallace, James
• 金额: $ 1.31万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=708804
• 关键词: Exploring; Human; Perception; Interaction; Multi

Today's computing devices have not fully realized the potential imagined by early computer scientists and engineers when they imagined a world in which computing infrastructure seamlessly supported our everyday computing needs; mobile, portable, and large, shared devices pervade our lives yet are rarely used together. For example, a smartphone in your pocket and a nearby tablet might contain important data, but cannot easily interface with a nearby interactive TV for sharing with co-workers, even though wireless networks are readably available. These interactions are useful in unlocking potential from data stored on small devices with nearby large displays. Even if such interactions were allowed, it is unclear how software should be designed to enable cross-device sharing of data and whether doing so may impact a user's ability to accurately and effectively utilize data.  This research explores human ability to interact and perceive with data that is spread across multiple devices, with the goal of ultimately enabling cross-device interaction. We will develop three sets of test-beds that will be used to conduct controlled, empirical studies that investigate human perception and interaction across personal and shared devices in three contexts. The first series of experiments will explore interaction in laboratory setting, with carefully focused studies on aspects of human perception such as magnitude judgement, visual search, reading comprehension, and navigation. The second and third series of experiments will explore interaction in an applied setting, in collaboration with industrial partners, where simulated tasks will be used to determine negative effects of cross-device information. Finally, results will be ecologically validated by conducting By developing such an understanding, we will inform the design of multi-device software systems that support collaborative work, such as data analytics, command and control, and emergency response, where information is divided across any number of individuals, devices, or displays.

今天的计算设备还没有完全实现早期计算机科学家和工程师想象的潜力，当时他们想象了一个计算基础设施无缝支持我们日常计算需求的世界;移动的、便携的和大型的共享设备遍布我们的生活，但很少一起使用。例如，口袋里的智能手机和附近的平板电脑可能包含重要数据，但是不能容易地与附近的交互式TV接口以便与同事共享，即使无线网络是可读的。这些交互对于从存储在具有附近大显示器的小型设备上的数据中释放潜力是有用的。即使允许这种交互，也不清楚软件应该如何设计以实现跨设备的数据共享，以及这样做是否会影响用户准确有效地利用数据的能力。 这项研究探索了人类与分布在多个设备上的数据进行交互和感知的能力，其目标是最终实现跨设备交互。我们将开发三套测试平台，用于进行受控的实证研究，研究人类在三种情况下对个人和共享设备的感知和交互。第一个系列的实验将探索在实验室环境中的互动，仔细集中研究人类感知的方面，如大小判断，视觉搜索，阅读理解和导航。第二和第三个系列的实验将探索在应用环境中的互动，与工业合作伙伴合作，其中模拟任务将被用来确定跨设备信息的负面影响。最后，结果将通过进行生态验证通过开发这样的理解，我们将为支持协同工作的多设备软件系统的设计提供信息，例如数据分析，指挥和控制以及应急响应，其中信息被分配给任何数量的个人，设备或显示器。