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Course Evaluation Results

Course Details

Fall 2017-2018
* ENE 475 / PSY 475   Graded A-F, P/D/F, Audit

Human Factors 2.0-Psychology for Engineering, Energy, and Environmental Decisions

Elke U. Weber

Human Factors 1.0 studied how humans interact with machines and technology, bringing engineering and psychology into contact in the 1950s and giving rise to theories of user-centric design. This course will cover recent theoretical advances in cognitive and social psychology, especially in human judgment and decision making, that are relevant for engineers and choice architects as they address technical and societal challenges related to sustainability. Such psychological theory (human factors 2.0) can be creatively applied to designs decision environments that help people overcome present bias, loss aversion, and status-quo bias.

Sample reading list:
Weber, E.U., Doing the Right Thing Willingly: Using the Insights from
Hardisty, D.H., Johnson, E.J. & Weber, E.U., A dirty word or a dirty world? Attribute framing, political
Shealy, T., Klotz, L., Weber, E.U., Bell, R.G., et al, Using framing effects to inform more sustainable infrastruct
Kunreuther, H. & Weber, E.U., Aiding decision making to reduce the impacts of climate chan
Kahneman, D. & Tversky, A., Prospect theory: An analysis of decision under risk
Zaval, L. Keenan, E.A., Johnson, EJ, Weber, EU, Understanding local warming: How warm days lead to increased

Reading/Writing assignments:
This course will not use a textbook. Assigned readings will either be academic papers or book chapters (uploaded on blackboard). The deadline for weekly assignments (to be uploaded to Blackboard) is midnight on Monday, before each Tuesday lecture. No late submissions are accepted.

Mid Term Exam - 25%
Paper in lieu of Final - 25%
Class/Precept Participation - 8%
Problem set(s) - 27%
Other (See Instructor) - 15%

Other Requirements:
Not Open to First Year Undergraduates.

Prerequisites and Restrictions:
This course welcomes students from diverse backgrounds and therefore does not assume detailed prior knowledge of psychology, behavioral or environmental science, or engineering. Some basic knowledge of research design and statistics will be an asset..

Other information:
Learning outcomes: Students will learn to Recognize human-technology-environment systems and how we shape them (for better or worse); Exploit diversity (of thought, background, and experience) through interactions with class mates and participatory approaches; Communicate persuasively with others about the course topics. Grading - "Other 15%" = Group project presentation

Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
22706 L01 01:30:00 pm - 02:50:00 pm T Th   Andlinger Center   017   Enrolled:14 Limit:25