Data on the configuration design of internet-connected home cooling systems by engineering students

• Main Authors: Christopher McComb, Jonathan Cagan, Kenneth Kotovsky
• Format: Article
• Language: English
• Published: Elsevier 2017-10-01
• Series: Data in Brief
• Subjects: Engineering; Design; Configuration
• Online Access: http://www.sciencedirect.com/science/article/pii/S2352340917304274

This experiment was carried out to record the step-by-step actions that humans take in solving a configuration design problem, either in small teams or individually. Specifically, study participants were tasked with configuring an internet-connected system of products to maintain temperature within a home, subject to cost constraints. Every participant was given access to a computer-based design interface that allowed them to construct and assess solutions. The interface was also used to record the data that is presented here. In total, data was collected for 68 participants, and each participant was allowed to perform 50 design actions in solving the configuration design problem. Major results based on the data presented here have been reported separately, including initial behavioral analysis (McComb et al.) [1,2] and design pattern assessments via Markovian modeling (McComb et al., 2017; McComb et al., 2017) [3,4].