ITR/SY: Situationally Appropriate Interaction

我们正处在一个信息丰富的世界的门槛上，拥有能够随时随地向几乎任何人提供信息的设备和服务。人类已经进化出用于平稳和灵活地管理人际通信的社交机制；然而，当前的计算和通信设备几乎无一例外地完全不知道用户的社交和注意力状态。他们对他们所处的个人、社会和任务情况知之甚少或一无所知，他们很少或根本不去解释他们造成的人力成本并将其降至最低。在这个项目中，PI和他的团队将探索适合情况的接口，这些接口以对用户情况敏感的方式检索、生成和交付信息。这些接口将允许通信和信息系统在社交世界中灵活操作，而不是犯错误。为了实现这一雄心勃勃的目标，该团队将实施一个由三部分组成的研究计划。首先，他们将使用行为理论和研究来为管理人际沟通的社会机制建模。我们将借鉴的这项相对未被开发的研究考察了情景的承受力以及情景中人类非言语社交行为的一致模式。其次，他们将通过来自新的传感技术的输入，从这些模型中提取关键的情景和用户行为数据，使用非侵入性(例如，基于视觉的)传感技术来提供有关情景和用户的信息。第三，利用感觉、知觉和认知心理学以及视觉和交互设计领域的知识，该团队将创造出比今天的界面更适合情景的展示和交互设计。为了应对这种工作广度带来的重大挑战，PI组建了一支强大的多学科团队，该团队汇集了计算机科学、社会、感觉、感知和认知心理学以及设计领域的专业知识。

We are poised at the threshold of an information rich world with devices and services able to deliver that information to nearly anyone, at any place, and at any time. Humans have evolved social mechanisms for smoothly and flexibly managing interpersonal communications; however, current computational and communications devices are, almost without exception, utterly unaware of the social and attentional state of the user. They know little or nothing of the personal, social, and task situations in which they are used, and they do little or nothing to account for, and minimize, the human costs they induce. In this project, the PI and his team will explore situationally appropriate interfaces that retrieve, generate, and deliver information in a manner that is sensitive to the situation of the user. These interfaces will allow for communication and information systems that maneuver, rather than blunder, through the social world. To accomplish this ambitious goal, the team will pursue a three-part research plan. First, they will use behavioral theory and research to model social mechanisms for managing interpersonal communications. The comparatively unexploited research we will draw on examines the affordances of situations and consistent patterns of human nonverbal social behavior within situations. Second, they will extract key situational and user behavior data from these models via input from new sensing technologies, using noninvasive (e.g., vision-based) sensing technology to provide information about situations and users. Third, leveraging knowledge from sensory, perceptual, and cognitive psychology, as well as from the fields of visual and interaction design, the team will create displays and interaction designs that are far more situationally appropriate than today's interfaces. To address the substantial challenges that this breadth of work presents, the PI has assembled a strong multidisciplinary team that brings expertise from computer science, social, sensory, perceptual, and cognitive psychology, and the field of design.