Christoph Hölscher: Catalogue data in Spring Semester 2021
|Name||Prof. Dr. Christoph Hölscher|
Chair of Cognitive Science
ETH Zürich, RZ E 23
|Telephone||+41 44 632 31 96|
|Department||Humanities, Social and Political Sciences|
|851-0252-01L||Human-Computer Interaction: Cognition and Usability |
Number of participants limited to 40.
Particularly suitable for students of D-ITET
|3 credits||2S||C. Hölscher, S. Credé, H. Zhao|
|Abstract||This seminar introduces theory and methods in human-computer interaction and usability. Cognitive Science provides a theoretical framework for designing user interfaces as well as a range of methods for assessing usability (user testing, cognitive walkthrough, GOMS). The seminar will provide an opportunity to experience some of the methods in applied group projects.|
|Objective||This seminar will introduce key topics, theories and methodology in human-computer interaction (HCI) and usability. Presentations will cover the basics of human-computer interaction and selected topics like mobile interaction, adaptive systems, human error and attention. A focus of the seminar will be on getting to know evaluation techniques in HCI. Students will work in groups and will first familiarize themselves with a select usability evaluation method (e.g. user testing, GOMS, task analysis, heuristic evaluation, questionnaires or Cognitive Walkthrough). They will then apply the methods to a human-computer interaction setting (e.g. an existing software or hardware interface) and present the method as well as their procedure and results to the plenary. Active participation is vital for the success of the seminar, and students are expected to contribute to presentations of foundational themes, methods and results of their chosen group project. In order to obtain course credit a written essay / report will be required (details to be specified in the introductory session of the course).|
|851-0252-04L||Behavioral Studies Colloquium||0 credits||2K||D. Helbing, U. Brandes, C. Hölscher, M. Kapur, C. Stadtfeld, E. Stern|
|Abstract||This colloquium offers an opportunity for students to discuss their ongoing research and scientific ideas in the behavioral sciences, both at the micro- and macro-levels of cognitive, behavioral and social science. It also offers an opportunity for students from other disciplines to discuss their research ideas in relation to behavioral science. The colloquium also features invited research talks.|
|Objective||Students know and can apply autonomously up-to-date investigation methods and techniques in the behavioral sciences. They achieve the ability to develop their own ideas in the field and to communicate their ideas in oral presentations and in written papers. The credits will be obtained by a written report of approximately 10 pages.|
|Content||This colloquium offers an opportunity for students to discuss their ongoing research and scientific ideas in the behavioral sciences, both at the micro- and macro-levels of cognitive, behavioral and social science. It also offers an opportunity for students from other disciplines to discuss their ideas in so far as they have some relation to behavioral science. The possible research areas are wide and may include theoretical as well as empirical approaches in Social Psychology and Research on Higher Education, Sociology, Modeling and Simulation in Sociology, Decision Theory and Behavioral Game Theory, Economics, Research on Learning and Instruction, Cognitive Psychology and Cognitive Science. Ideally the students (from Bachelor, Master, Ph.D. and Post-Doc programs) have started to start work on their thesis or on any other term paper.|
Course credit can be obtained either based on a talk in the colloquium plus a written essay, or by writing an essay about a topic related to one of the other talks in the course. Students interested in giving a talk should contact the course organizers (Ziegler, Kapur) before the first session of the semester. Priority will be given to advanced / doctoral students for oral presentations. The course credits will be obtained by a written report of approximately 10 pages. The colloquium also serves as a venue for invited talks by researchers from other universities and institutions related to behavioral and social sciences.
|Literature||Will be provided on request.|
|Prerequisites / Notice||Doctoral students in D-GESS can obtain 2 credit points for presenting their dissertation research plan.|
|851-0252-05L||Research Seminar Cognitive Science |
Prerequisite: Participants should be involved in research in the cognitive science group.
|2 credits||2S||C. Hölscher, S. Andraszewicz|
|Abstract||The colloquium provides a forum for researchers and graduate students in cognitive science to present/discuss their ongoing projects as well as jointly discuss current publications in cognitive science and related fields. A subset of the sessions will include invited external visitors presenting their research. Participants of this colloquium are expected to be involved in active research group.|
|Objective||Graduate student train and improve their presentation skills based on their own project ideas, all participants stay informed on current trends in the field and have the opportunity for networking with invited scholars.|
|851-0252-08L||Evidence-Based Design: Methods and Tools For Evaluating Architectural Design |
Number of participants limited to 40
Particularly suitable for students of D-ARCH
|3 credits||2S||M. Gath Morad, C. Hölscher, C. Veddeler|
|Abstract||The course focus is on pre-occupancy evaluation in architecture to support an evidence-based design process. Students are taught a variety of methods such as virtual reality, agent-based simulations and spatial analysis. The course is project-oriented and is open for architecture and STEM students with an interest in interdisciplinary teamwork.|
|Objective||This semester, students would focus on evaluating healthcare and office typologies from the perspective of building occupants’ and across scenarios, including routine operation and post-pandemic scenarios. Students will apply the tools learned in the course to compare building typologies, using various metrics including spatial proximity, visibility, orientation and movement. On the basis of this multi-objective evaluation, students would propose and evaluate design interventions across scenarios, identifying the Strength, Weaknesses, Opportunities and threats across the various typologies. The course is tailored for students studying for B-ARCH and M-ARCH degrees and is also suitable for students in STEM faculties. As an alternative to obtaining D-GESS credit, architecture students can obtain course credit in "Vertiefungsfach" or "Wahlfach".|
|851-0252-10L||Project in Behavioural Finance |
Does not take place this semester.
Number of participants limited to 40
Particularly suitable for students of D-MTEC
|3 credits||2S||C. Hölscher|
|Abstract||This interactive practical course provides and overview of the key topics in behavioral finance. Along studying information about investor's behavior, decision-making, cognitive, biological and personality markers of risk taking and measuring risk appetite, students train critical thinking, argumentation and presentation. The learning process is based on interactive discussions and presentations.|
|Objective||This course provides an overview of the key topics in behavioural finance and gives the opportunity for a first hands-on experience in designing, analysing and presenting a behavioural study. In the first half of the semester, students present papers from different topics within behavioural finance, including Judgment and Decision Making, psychometrics and individual differences, and risk perception and eliciting people’s propensity to take risk, biological markers of risk taking and investment behavior and trading games. The paper presentations are informal, require no power-point presentations and are followed by a discussion with the rest of the students in the class. The goal of these presentations is three-fold: in an interactive and engaging way, to provide an overview of the topics contained in the area of behavioural finance, to teach students to extract the most relevant information from scientific papers and be able to communicate them to their peers and to enhance critical thinking during the discussion.|
In the middle of the semester, the students pick a topic in which they want to conduct a small study. Some topics will be offered by the lecturers, but students are free to choose a topic of their own.
This is followed by fine-tuning their research questions given found literature, data collection and analysis. At the end of the semester students receive feedback and advice on the data analysis and present the results in a formal presentation with slides. The final assignment is a written report from their study. Active participation in the meetings is mandatory to pass the course. This course does not involve learning by heart.
Key skills after the course completion:
- Overview of topics in behavioural finance
- Communication of research output in an a formal and informal way, in an oral and written form
- Critical thinking
- Argumentation and study design
|Content||- Giving presentations|
- How to quickly "read" a paper
- Judgment and Decision Making, Heuristics and Biases
- Biology on the trading floor
- Psychometrics and individual differences
- Eliciting people's propensity to take risks
- Experimental design in behavioural studies
- Experimental Asset Markets
|Lecture notes||All learning materials will be available to students over eDoz platform.|
|Literature||Tversky, A., & Kahneman, D. (1992). Advance in prospect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5(4), 297-323|
Rieskamp, J. (2008). The probabilistic nature of preferential choice. Journal of Experimental Psychology: Learning, memory and Cognition, 34(6), 1446-1465
Hertwig, R., & Herzog, S. (2009). Fast and frugal heuristics: Tools of social rationality. Social Cognition, 27(5), 661-698
Coates, J.M., Gurnell, M., & Sarnyai, Z. (2010). From molecule to market: steroid hormones and financial risk taking. Philosophical Transacations of the Royal Society B, 365, 331-343
Cueva, C., Roberts, R.E., Spencer, T., Rani, N., Tempest, M., Tobler, P.N., Herbert, J., & Rustichini (2015). Cortisol and testosterone increase financial risk taking and may destabilize markets. Nature, 5(11206), 1-16
Conlin, A., Kyröläinen, P., Kaakinen, M., Järvelin, M-R., Perttunen, J., & Svento, R. (2015). Personality traits and stock market participation. Journal of Empirical Finance, 33, 34-50
Kosinski, M., Stillwell, D., & Graepel, T. (2013). Private traits and attributes are predictable from digital records of human behavior. Proceedings in National Academy of Sciences, 110, 5802-5805
Oehler, A., Wedlich, F., Wendt, S., & Horn, M. (July 9, 2016). Available at SSRN: https://ssrn.com/abstract=2807401
Fenton-O'Creevy, M., Nicholson, N., Soane, E., & Willman, P. (2003). Trading on illusions: Unrealistic perceptions of control and trading performance. Journal of Occupational and Organizational Psychology, 76, 53-68
Frey, R., Pedroni, A., Mata, R., Rieskamp, J., & Hertwig, R. (2017). Risk preference shares the psychometric structure of major psychological traits. Science Advances, 3, 1-13
Schürmann, O., Andraszewicz, S., & Rieskamp, J. (2017). The importance of losses when eliciting risk preferences. Under review
Andraszewicz, S., Kaszas, D., Zeisberger, S., Murphy, R.O., & Hölscher, C. (2017). Simulating historical market crashes in the laboratory. Manuscript in preparation.
Allenbach, M., Kaszas, D., Andraszewicz, S., & Hölscher, C. (2017). Skin conductance response as marker or risk undertaken by investors. Manuscript in preparation.
Simic, M., Kaszas, D., Andraszewicz, S., & Hölscher, C. (2017). Incentive structure compatibility in a principal agent problem. Manuscript in preparation.
Sornette, D., Andraszewicz, S., Wu, K., Murphy, R.O., Rindlerm P., & Sanadgol, D. (2017). Overpricing persistance in experimental asset markets with intrinsic uncertainty. Under review.
Andraszewicz, S., Wu, K., & Sornette, D. (2017). Behavioural effects and market dynamics in field and laboratory experimental asset markets. Under review.
|Prerequisites / Notice||Grading is based the active participation in the class and the final project. There is no exam.|