Eye-tracking offers new ways to augment our interaction possibilities in extended reality. This paper investigates how gaze can assist pen users in translating shape points within graphical models. By leveraging gaze, we can support the usual design activities with an option where objects can be selected and repositioned through eye movements, with the pen serving as a confirmation tool. This can reduce manual effort and enhance efficiency and ergonomics. To evaluate its effectiveness, we compare four interaction techniques: two pen-based baselines (direct and ray-based) and two gaze-supported methods (gaze for selection and/or object dragging), using a probability based selection scheme. In a user study, 16 participants carried out a shape point translation task and their performance, effort, and user experience were measured. The results highlight the performance trade-offs of each technique - while the gaze-based dragging method introduced marginally more errors, it significantly reduced task time. Our findings offer comparative insights into the strength and limitations of gaze-and pen-based interaction methods, supporting the design of future multimodal 3D design tools.

Precise manipulation, fast interaction, and lasting comfort are hard to reconcile in VR. Modern controllers can track at sub-millimetre resolution in ideal conditions, yet mid-air reach, tremor, and arm elevation still impair accuracy and induce fatigue. We present Eyes on Target, Pen on Table, combining gaze-driven target selection with desk-supported, pressure-adaptive pen input. In a within-subjects study (N=12), it was compared with a direct mid-air pen baseline. In 2D tasks, mean placement error dropped by 40% with no significant time cost, while in 3D tasks error fell by 58% at a 52% time cost. With control-display gain with axis constraint, error reductions reached 77% in 2D and 81% in 3D relative to the baseline. Across conditions, the approach also reduced arm fatigue and NASA-TLX workload. Our findings position the Gaze + Pen on Table technique as a balanced, sustainable alternative for production-level VR design, with practical guidelines for implementation.