Interactions in low-cost Extended Reality (XR) environments present significant challenges due to the limitations of available hardware, particularly in motion tracking and object manipulation. This work explores and evaluates three interaction techniques designed for low-cost XR systems: head movement tracking using smartphone sensors, hand tracking via a custom low-cost controller using microcontrollers, and voice-based interaction using a cellphone’s microphone. The user study analyzes the performance of these modalities in an object manipulation scenario with basic commands. Experimental results with user participation indicate that head movement tracking offers the highest precision and efficiency, whereas the hand tracking method suffers from drift and noise due to hardware constraints. Voice interaction, while effective for basic commands, shows limitations in terms of ease of use. These findings provide insights into the trade-offs between interaction fidelity, cost, and usability in low-cost XR environments, contributing to the development of more accessible and efficient XR interaction techniques.