ACM Transactions on Applied Perception

Papers
(The TQCC of ACM Transactions on Applied Perception is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
Personality Expression Using Co-Speech Gesture18
Exploring the Effects of Self-Overlapping Spaces on Distance Perception and Action Judgments16
The Duration of an Auditory Icon Can Affect How the Listener Interprets Its Meaning12
Display-Size Dependent Effects of 3D Viewing on Subjective Impressions12
Efficient Dataflow Modeling of Peripheral Encoding in the Human Visual System11
Twin Identification over Viewpoint Change: A Deep Convolutional Neural Network Surpasses Humans10
The Effects on Driving Behavior When Using a Head-mounted Display in a Dynamic Driving Simulator9
Identifying Lines and Interpreting Vertical Jumps in Eye Tracking Studies of Reading Text and Code9
Exploring the Relative Effects of Body Position and Locomotion Method on Presence and Cybersickness when Navigating a Virtual Environment8
Vibrotactile Threshold Measurements at the Wrist Using Parallel Vibration Actuators8
Virtual and Traditional Memory Palaces in Recall with ADHD7
Introduction to the Special Issue on SAP 20247
Design and Validation of a Virtual Reality Mental Rotation Test7
Creating Word Paintings Jointly Considering Semantics, Attention, and Aesthetics6
Experience Matters: Longitudinal Changes in Sensitivity to Rotational Gains in Virtual Reality6
Learning GAN-Based Foveated Reconstruction to Recover Perceptually Important Image Features6
Motor Variability in Complex Gesture Learning: Effects of Movement Sonification and Musical Background6
The Pulfrich Effect in Virtual Reality6
On the Immersive Properties of High Dynamic Range Video6
Improving the Perception of Mid-air Tactile Shapes with Spatio-temporally-modulated Tactile Pointers5
Decoding Functional Brain Data for Emotion Recognition: A Machine Learning Approach5
Reading Direction Shapes Data Visualization Perception: Insights from Right-to-Left and Left-to-Right User Studies5
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