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Novel Framework for Incorporating Consumer Preferences and Public Goals into Engineering Design Applied to Energy Technologies

将消费者偏好和公共目标纳入能源技术工程设计的新框架

基本信息

批准号：
1662485
负责人：
Nordica MacCarty
金额：
$ 34.79万
依托单位：
Oregon State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-06-01 至 2022-01-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1662485&HistoricalAwards=false
关键词：
Novel Framework Incorporating Consumer Preferences

项目摘要

What drives consumers to choose to adopt products that protect common pool resources rather than continuing with current inefficient and/or polluting methods? And how can designers create products that encourage adoption despite social and financial barriers? Understanding and modeling of user choice and behavior is common in engineering design efforts to predict market share, user preference, and optimal design for consumer products where purchase motivation is plentiful. Yet these valuable tools are less commonly, and notably less easily, applied to the design of products where user uptake is key to meeting public social, environmental, economic, and security goals. For example, smart and efficient appliances and vehicles can provide significant energy savings but may offer reduced convenience and be costly to the user. Yet these technologies will only have an impact if they are desirable and affordable enough to encourage adoption by a large fraction of users, and simultaneously perform well enough to meet the public goals of society at large. This delicate balance often is difficult to achieve due to the complex system of constraints, interrelated variables, conflicting objectives, and diverse market segments. The findings of this study will help designers to develop engineered products that are likely to achieve consumer adoption levels required to realize public goals. This project also will engage students through a unique course on rural household energy and related study-abroad opportunities. The course will cover issues addressed in this research and provide students experience with fieldwork techniques needed to understand rural and underserved communities. The objective of this research is to create and demonstrate a modeling framework that enables a more rigorous integration of consumer preference and public goal considerations into engineering design decisions. This will be achieved through a novel integration of techniques from user-centered design, computational social sciences, environmental psychology, usage context-based design, and agent-based modeling. The general framework will be demonstrated extensively in the context of designing household energy-related technologies. A multidisciplinary team of collaborators will combine new and existing real-world data with models of the current state of the user environment, technological options, potential actions and strategies, social norms, and utility functions to predict the consumer attitude, choice, and adoption behavior. This adoption model will be integrated into an existing systems-level model developed by the PI with prior NSF support to predict the outcomes of technological strategies in terms of a holistic set of objectives. Simulation results will inform engineering designers about the complex outcomes generated by various strategies across a community energy system.

是什么促使消费者选择采用保护公共游泳池资源的产品，而不是继续使用目前效率低下和/或污染严重的方法？设计师如何创造出能够鼓励人们接受的产品，而不受社会和经济障碍的影响？用户选择和行为的理解和建模在工程设计工作中很常见，可以预测市场份额，用户偏好和购买动机充足的消费产品的最佳设计。然而，这些有价值的工具不太常见，尤其是不容易应用于产品设计，用户的吸收是满足公共社会，环境，经济和安全目标的关键。例如，智能和高效的电器和车辆可以提供显著的节能，但可能提供降低的便利性并且对用户来说是昂贵的。然而，这些技术只有在它们足够可取和负担得起，以鼓励大部分用户采用，同时表现良好，以满足整个社会的公共目标时，才会产生影响。这种微妙的平衡往往是难以实现的，由于复杂的约束系统，相互关联的变量，相互冲突的目标，以及不同的市场细分。这项研究的结果将有助于设计师开发工程产品，这些产品可能会达到实现公共目标所需的消费者采用水平。该项目还将通过一个关于农村家庭能源和相关出国留学机会的独特课程吸引学生。该课程将涵盖本研究中解决的问题，并为学生提供了解农村和服务不足社区所需的实地调查技术经验。本研究的目的是创建和展示一个建模框架，使消费者的偏好和公共目标的考虑到工程设计决策更严格的整合。这将通过以用户为中心的设计、计算社会科学、环境心理学、基于使用上下文的设计和基于代理的建模等技术的新颖集成来实现。一般框架将在设计家庭能源相关技术的范围内广泛展示。一个由多学科合作者组成的团队将联合收割机将新的和现有的真实世界数据与用户环境的当前状态、技术选项、潜在行动和策略、社会规范和效用函数的模型相结合，以预测消费者的态度、选择和采用行为。该采用模型将被集成到PI在NSF支持下开发的现有系统级模型中，以预测技术战略在整体目标方面的结果。模拟结果将告知工程设计人员有关社区能源系统中各种策略产生的复杂结果。