SGER: Footprints: Exploring Methods of Personalizing Suggestions for Actions in an Energy Conservation Social Network Site

SGER：足迹：探索节能社交网站中个性化行动建议的方法

• 批准号: 0745885
• 负责人: Jennifer Mankoff
• 金额: --
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-15 至 2009-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0745885&HistoricalAwards=false
• 关键词: SGER; Footprints; Exploring; Methods; Personalizing

In 2005, Americans consumed 100 quadrillion BTUs of energy in the course of everyday activities, almost six times the world wide average per person. This in turn caused the release of 2.2 billion metric tons of carbon dioxide (CO2), a greenhouse gas indicated as a major cause of adverse climate change. By taking simple actions to conserve energy, individuals can help reduce total CO2 emission significantly. Many of these changes, such as replacing incandescent light bulbs with compact fluorescent bulbs, are easy, cost-saving measure for individuals. Although pro-environmental attitudes and beliefs are widespread, these rarely transform into actual energy saving behaviors. The relationship between attitudes and behaviors is complex, and barriers to behavior change include issues such as insufficient motivation and uncertainty about what choices will have the most impact. Social psychological research and studies of interventions help to define some promising features that could support energy behavior change, including personalization, goal-setting, and dynamic, comparative feedback both about individual results and others' successes. The prototype system in this proposal, StepGreen, attempts to induce changes in energy consumption through personalized information presented frequently and appropriately, through social influence processes (e.g., persuasion by peers) and by competitive interaction with other groups who are similarly trying to save energy. The Internet, with its proven abilities as a locus for mass change, provides an opportune place to experiment with these features in the large.Specifically, this project will gather data about how to best support and encourage behavioral change regarding energy use, the results of which will inform the design of the prototype StepGreen system. A fundamental premise of this work is that suggestions will need to be personalized to each individual StepGreen member along a variety of dimensions, including what actions are recommended, the order in which they are recommended, and the manner (text and graphics) in which they are presented. To be effective such a system must achieve a massive user base. The other central activity to this project is developing partnerships with relevant civic organizations to identify appropriate populations and proven techniques for engaging those individuals. Broader impacts: The results of this interdisciplinary project will benefit fields ranging from environmental engineering to social psychology to Human Computer Interaction by identifying misconceptions and educating individuals about relationships between behavior and energy consumption, providing a detailed understanding of how internet-scale technology can be leveraged to support widespread behavioral change. Finally, the work will benefit society by helping to address a critical social issue, energy consumption, leading to concrete reductions in U.S. energy use and by providing results that inform other domains in which societal benefits depend on individual behavior change (e.g., health, littering, community action).

2005年，美国人在日常活动中消耗了100夸脱BTU的能量，几乎是世界平均水平的六倍。这反过来又导致22亿公吨二氧化碳的释放，这种温室气体被认为是不利气候变化的主要原因。通过采取简单的行动来节约能源，个人可以帮助减少总二氧化碳排放量显着。其中许多变化，如用紧凑型荧光灯泡取代白炽灯泡，对个人来说是简单、节省成本的措施。虽然亲环境的态度和信念很普遍，但很少转化为实际的节能行为。态度和行为之间的关系是复杂的，行为改变的障碍包括动机不足和不确定什么选择会产生最大的影响等问题。社会心理学研究和干预措施的研究有助于确定一些有希望的特征，可以支持能源行为的改变，包括个性化，目标设定，以及动态的，比较反馈的个人结果和他人的成功。该提案中的原型系统StepGreen试图通过频繁和适当地呈现的个性化信息，通过社会影响过程（例如，通过同伴的说服）和与其他同样试图节省能量的群体的竞争性互动。互联网作为一个大规模变革的场所，其已被证明的能力，提供了一个合适的地方来实验这些功能在大的。具体来说，这个项目将收集有关如何最好地支持和鼓励有关能源使用的行为变化的数据，其结果将通知原型StepGreen系统的设计。这项工作的一个基本前提是，建议将需要个性化的每一个单独的StepGreen成员沿着各种尺寸，包括什么行动建议，他们建议的顺序，以及他们的方式（文字和图形），在其中提出。为了有效，这样的系统必须拥有庞大的用户群。该项目的另一项核心活动是与有关民间组织建立伙伴关系，以确定适当的人口和使这些人参与的行之有效的技术。 更广泛的影响：这个跨学科项目的结果将有利于从环境工程到社会心理学到人机交互的领域，通过识别误解和教育个人行为与能源消耗之间的关系，详细了解如何利用互联网规模的技术来支持广泛的行为变化。最后，这项工作将通过帮助解决一个关键的社会问题，能源消耗，导致美国能源使用的具体减少，并通过提供结果，告知社会效益取决于个人行为变化的其他领域（例如，卫生、乱扔垃圾、社区行动）。