Scavenger Hunt for Resources

Instructions
The goal of this assignment is to demonstrate critical thinking about the relationship between interaction and cognition in HCI. In this assignment you will conduct individual research to investigate this issue and demonstrate knowledge by going beyond the reading and resources given to you.
Step 1: Review the learning materials for the assignment. Annotate your materials and synthesize your learning through note taking in a manner that helps you organize and comprehend the following
concepts:
Step 2: Conduct an "online scavenger hunt" (i.e. search online) for good resources in understanding, explaining, and studying the relationship between interaction and cognition. Bookmark or save your resources.
Step 3: Recommend a minimum of three and maximum of five online resources (not including any
instructor provided resources). Write one or more sentences providing the rational for why you
recommended each. Resources can include articles, videos, and podcasts and must be freely available
online. You must include the link and title for each.
 Engineering

Scavenger Hunt for Resources

Edgar, Laura, et al. “Better Decision-Making: Sharing mental models and Clinical

Competency Committee.” Journal of Graduate Medical Education, Vol. 13, no. 2s, 2021,

pp. 51-58. 10.4300/jgme-d-20-00850.1.

The paper is essential in explaining the significance that shared models play in today’s age of computers and the process of making decisions. It can be useful in establishing connections between IT applications and the human mind’s perception. The reaction that our minds give to technical changes is the most important factor in the efficiency of interactions between humans and computers and the products that are produced. Mental models guarantee high-quality and reliability in processes. Procopio, Marianne, et al. “Impact of cognitive biases in Progressive Visualization.” IEEE Transactions on Visualization and Computer Graphics Vol. 28, no. 9, 2022, pp.

3093-3112. ieeexplore.ieee.org/abstract/document/9320596,

10.1109/TVCG.2021.3051013.

The article illustrates how humans make use of mind biases to interpret data. Visualization has allowed the interpretation of huge amounts of data before conclusion but the cognitive biases of humans make it difficult for people to provide accurate interpretations , making the process less reliable. The results of the information fed can be observed even prior to the completion of the process by computer-generated visualization, but because of biases, process of data visualization gets hindered. This article can be used to understand the impact of biases, and the best way to manage them for the successful visualization of data and interpretation. Dimara, Evanthia, et al. “A Task-based Taxonomy of Bias in Cognitive Behavior to information Visualization.” IEEE Transactions on Visualization and Computer Graphics 2018: Pages.