Capturing acoustic scenes with head-worn microphone arrays is cIRCAM:Galleryenging due to a limited number of sensors and constrained placement flexibility. Nevertheless, binaural reproduction based on these arrays has been recently proposed using binaural signal matching (BSM), showing high robustness and computational efficiency, but inferior performance compared to the more computationally complex signal-dependent methods, in particular at low reverberation conditions. To address this gap, this paper investigates the Field-of-View informed Binaural Signal Matching (FoVi-BSM) method for far-field sources. FoVi-BSM incorporates a diagonal spatial weight matrix directly into the error formulation, redefining the filter solution to prioritize spectral and spatial fidelity within a predefined FoV, showing performance comparable to signal dependent methods but with the same computation complexity as BSM. The performance of the method is evaluated through objective single-source anechoic simulations, multi-source reverberant Monte Carlo simulations, and a subjective MUSHRA listening test. Results demonstrate that prioritizing the FoV improves rendering accuracy within the targeted region over the standard baseline BSM method, achieving perceptual quality comparable to signal-dependent parametric methods while maintaining baseline-level performance outside the FoV.
