Capacity and selection in immersive visual working memory following naturalistic object disappearance

Area of Science:

• Cognitive Psychology
• Neuroscience
• Human-Computer Interaction

Background:

• Visual working memory (VWM) research traditionally uses static displays with abrupt object removal.
• Real-world VWM involves gradual object disappearance due to self-motion or object movement.
• The generalizability of established VWM findings to naturalistic scenarios remains unclear.

Purpose of the Study:

• To investigate if classic VWM findings, including capacity limits and space-based selection, apply to naturalistic object disappearance modes.
• To compare VWM performance in static, abrupt removal conditions versus dynamic, gradual disappearance conditions.
• To assess the influence of altered spatial relations on VWM.

Main Methods:

• Utilized virtual reality (VR) to simulate both static (abrupt removal) and flow (gradual disappearance) conditions.
• Participants performed VWM tasks in both simulated environments.
• Measured VWM capacity and analyzed gaze direction for evidence of space-based mnemonic selection.

Main Results:

• VWM capacity was comparable across static and flow conditions (around three objects).
• Space-based mnemonic selection, indicated by gaze biases, was observed in both conditions.
• Altered spatial relations and gradual disappearance did not significantly impact VWM capacity or selection strategies.

Conclusions:

• Classic VWM findings, including capacity and reliance on spatial cues, generalize to immersive VR environments with naturalistic object disappearance.
• VWM mechanisms appear robust to changes in object disappearance modes and dynamic observer-memoranda spatial relationships.
• This research bridges laboratory findings with real-world VWM experiences.