Session 7A- Symposia:Puzzling Relationship between Memory Over Short & Long-Term
Organizer: Dominic Guitard Moderator: Dominic Guitard (edg2851@umoncton.ca) Symposia Abstract: Sometimes you need information for a short period (e.g., when transferring a telephone number manually to your phone) while other times you need information for a longer period (e.g., when learning the names of your colleagues). Despite more than a century of research, we do not understand the relation between short (STM) or working memory (WM), a system for holding mental representations temporarily for use in thought and action, and long-term memory (LTM), a system for indefinite retention of an unlimited amount of information. In this symposium world renown experts will discuss empirical advances motivated by three contrasting theoretical approaches to memory: an embedded-processes approach (Cowan), a feature model approach (Saint-Aubin), and a time-based resource sharing approach (Camos). Forsberg presents new evidence that shows how STM/WM limits strongly predict LTM performance. Discussions will focus on the implications of a range of new evidence for the competing approaches.
Session 7B - Attention 4
Moderator: Daniel Smilek (dsmilek@uwaterloo.ca)
Session 7C - Visual Perception
Moderator: Sarah McCrackin (sarah.mccrackin@mail.mcgill.ca)
Session 7D - Measuring and Maximizing Eye Tracker Data Quality with EyeLinks
Measuring and Maximizing Eye Tracker Data Quality with EyeLinks (SR-Research) Sam Hutton, SR Research Ltd (sam@sr-research.com) Understanding eye tracking data quality is critical for researchers who want to maximize their ability to detect significant effects and generate and report high quality, replicable data. In this Webinar, SR Research staff will discuss the key determinants of eye tracking data quality, and provide clear instructions for how critical data quality metrics such as accuracy and precision can be derived from their EyeLink data. The workshop will also describe a range of tips and tricks that attendees can use to ensure they maximize data quality in their own EyeLink systems – from optimizing camera and participant set-up, to choosing the most appropriate calibration model. The overall aim of the webinar is to provide EyeLink users with the tools they need to measure and report eye tracking data quality, and to help them ensure that they are using their equipment optimally.