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In seated virtual reality (VR), where large physical turns are limited, altering the mapping between physical and virtual movements can amplify head rotation, enabling efficient view control with reduced physical effort. This thesis introduces two amplified head rotation (AHR) techniques for seated VR: the user-empowered Interactive, which affords user-timed switching between high and low gain, and Adaptive, which adjusts gain automatically based on head-motion kinematics. We evaluated both techniques in a mixed-methods study (n = 31), compared with a Static constant-gain baseline across a head-pointing task and a 180◦ rotation task. Both Interactive and Adaptive improved head-pointing performance relative to Static, while increasing physical head movement; cybersickness remained low and virtual–physical heading offsets were generally modest. Qualitatively, participants valued Interactive for the agency and control it afforded. Notably, this control enabled an emergent behavior in which users intentionally reoriented the virtual view via asymmetric rotational gains—a user-initiated redirection strategy we term ViewShift. Adaptive reduced cognitive load but could occasionally misalign with user intent. Together, the findings suggest potential for giving users control over rotational gains and highlight visible, user-centered AHR as an interaction technique for seated VR.