Perception Lecture, IE 486, Fall 2024 PDF
Document Details
Uploaded by Deleted User
University of Michigan Industrial and Operations Engineering
2024
N. Sarter
Tags
Summary
This document contains lecture notes from IE 486, focusing on perception. The notes cover different theories, including Gestalt principles, and introduce metrics and methods for studying perception, such as eye tracking.
Full Transcript
IE 486 – Fall 2024 Portions of these notes were taken from N. Sarter (2012). UM IOE 434 Lecture Notes. “Viewed as a geometric figure, the ant’s path is irregular, complex, hard to describe. But it’s complexity is really a complexity in the surface of the beach, not complexity in the ant” – Si...
IE 486 – Fall 2024 Portions of these notes were taken from N. Sarter (2012). UM IOE 434 Lecture Notes. “Viewed as a geometric figure, the ant’s path is irregular, complex, hard to describe. But it’s complexity is really a complexity in the surface of the beach, not complexity in the ant” – Simon (1981) Implications: to understand behavior, we need descriptions of the “landscape” in which behavior takes place and of the psychological mechanisms that are generating the behavior “Whilst part of what we perceive comes through our senses from the object before us, another part (and it may be the larger part) always comes out of our head.” – William James, 1890 Things are affected by where they are and by what surrounds them… so that things are better described as “more than the sum of their parts” Gestaltists believed that context was very important in perception Things which are closer together will be seen as belonging together Things which share visual characteristics such as shape, size, color, texture, value, or orientation will be seen as belonging together We tend to see complete figures even when part of the information is missing The whole of a figure is perceived rather than the individual parts which make up the figure We tend to perceive elements moving in the same direction as being more related than elements that are stationary or that more in different directions People are surprisingly poor at noticing large changes to objects and motion pictures when these changes happen at the same time as a visual transient, such as an eye movement or flash of a display (Simon, 2000) Observers attending to a particular object or event often fail to report the presence of an unexpected and therefore unattended items Color can be a powerful tool to improve user interfaces, but its inappropriate use can severely reduce the performance of the systems we build Provides objective and quantitative evidence of a user’s visual processes Helps to reveal what a person is looking at Eye-mind hypothesis: What a person is interested in What grabbed a person’s attention Three broad types/techniques: Electro-oculography (EOG) Measures electrical potential difference Scleral contact lens/search coil Measures wire coil’s orientation in a magnetic field Video-based Camera used to take video of the eye Can be desktop-mounted or head- mounted Most commonly used Camera image is used to measure distinguishable properties of the eye Pupil shape Corneal reflection For pupil and corneal reflection, light source needed (infrared light) – indicates where person is looking Head-tracking can be used to account for the movement of the head Eye calibration needed in order to accurately map screen locations to eye tracker coordinates Fixations: spatially stable gazes during which visual processing occurs; characterized by location and duration (~ 100-300 msecs) Saccades: rapid eye movements between successive fixations Scanpath: sequence of fixations and saccades Area of interest: regions of the display on which analysis is conducted, generally defined by the experimenter 2 1 3 Gaze (or dwell): series of fixations within a particular Area of Interest (AOI), beginning with the first fixation on that AOI and ending with the last fixation inside of that AOI Fixations and saccades form the building blocks for numerous other eye tracking metrics For example: Metric Usually related to Time to first fixation on Target salience target Scanpath length Search efficiency Convex hull area Layout/organization Fixation duration Interest in target Caution: metrics might mean different things Long fixation duration: interest or uncertainty/confusion? Fixation plot Fixations and saccades Sequence information Heat map Aggregated fixations No sequence information Cannot track peripheral visual (lose about 98% of visual field) Debate about eye-mind hypothesis Shows where and not why Eye tracker type could bias results Websites Software Cockpits Car dashboards Maps Cellphones (Samsung Galaxy) …