Technology Category
Cognitive Modeling & Cognitive Systems: Adaptive BehaviorNatural Language Processing: Sentiment Analysis, Stylistic Analysis, and Argument MiningMultiagent Systems: Agent-Based Simulation and Emergent Behavior
Toward a Behavioural Translation Style Space: Simulating the Temporal Dynamics of Affect, Behaviour, and Cognition in Human Translation Production
🤖 AI Summary
This study investigates the dynamic interplay among affect, cognition, and automated behavior during translation and its underlying psychological architecture. To this end, we propose the Behavior-based Translation Style Space (BTSS)—the first hierarchical computational framework integrating temporal features of affective, cognitive, and behavioral processes. Leveraging synchronized eye-tracking and keystroke-logging data, BTSS employs a multi-level embedded modeling approach to quantify cognitive load, affective fluctuation, and behavioral automation, enabling their dynamic co-simulation. Unlike prior models that treat these dimensions separately, BTSS unifies them within a single, computationally tractable, and psychologically interpretable framework. It thus advances process-oriented translation research by significantly improving both modeling fidelity and theoretical explanatory power regarding the internal mechanisms of translation.
Technology Category
Application Category
📝 Abstract
The paper introduces a Behavioural Translation Style Space (BTSS) that describes possible behavioural translation patterns. The suggested BTSS is organized as a hierarchical structure that entails various embedded processing layers. We posit that observable translation behaviour - i.e., eye and finger movements - is fundamental when executing the physical act of translation but it is caused and shaped by higher-order cognitive processes and affective translation states. We analyse records of keystrokes and gaze data as indicators of the hidden mental processing structure and organize the behavioural patterns as a multi-layered embedded BTSS. The BTSS serves as the basis for a computational translation agent to simulate the temporal dynamics of affect, automatized behaviour and cognition during human translation production.
Problem
Research questions and friction points this paper is trying to address.
Model behavioral translation patterns using hierarchical processing layers
Link eye and finger movements to cognitive and affective states
Simulate human translation dynamics via computational agent
Innovation
Methods, ideas, or system contributions that make the work stand out.
Hierarchical Behavioural Translation Style Space
Keystroke and gaze data analysis
Computational agent simulates translation dynamics
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