Project ISF: Psychological Models of Charging Station Selections for Electronic Vehicles Program DUIRI - Discovery Undergraduate Interdisciplinary Research Internship Term Summer 2024 Status Accepted Research Area Psychology, communication, engineering Description The internship is embedded in an NSF-funded project on Large-scale Planning for Electric Vehicle Public Charging Infrastructure. The internship study aims to test basic assumptions about human cognitive processes underlying drivers' selections of Public Charging Stations (PCS). To identify major attributes and thresholds that users consider when making a PCS selection and explore differences between groups of users, survey studies and experiments are being conducted that ask different groups of PCS users about their preferences. In the planned experiment, participants will be asked to imagine that they are looking for a charging station and to form a variety of choices among possible PCSs and to indicate and rank relevant choice attributes. The behavioral choice data and process variables will be used to describe the cognitive processes that are used by deciders. Supervisor Torsten O Reimer Mentor Juan Pablo Loaiza Ramirez Type of work required Students will be involved in conducting experiments at the new lab facility of the Brian Lamb School of Communication (see https://cla.purdue.edu/communication/research-laboratory/). The internship will involve the development of experimental materials, the collection of data, and the use of SPSS. Websites NSF project (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2323732&HistoricalAwards=false;)
Dr. Reimer's website (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2323732&HistoricalAwards=false;)
Dr. Qian's website (https://eng.ua.edu/eng-directory/dr-xinwu-qian/;)
Dr. Ukkusuri's website (http://www.satishukkusuri.com/;)
Qualifications Excellent communication skills are required as students are expected to instruct and interact with human participants in their role of experimenters. Basic SPSS skills are desirable. Credit Hours 0 Weekly Hours 10 (estimated)