Abstract:

This research study introduces an innovative electrical buzz wire (EBW) device developed using Arduino hardware, with a focus on assessing its performance under various conditions. The improved EBW incorporates a highly responsive circuit and sensors to detect different aspects of player interaction. The study involved 10 participants aged 23-25, tested under conditions of dominant vs. non-dominant hand use, left-to-right vs. right-to-left direction, and genuine vs. fake completion.

Key features of the EBW include capturing touch quality, providing status information, producing buzz sounds, and displaying data on an LCD screen. The device transmits data to a computer for analysis. Post-task surveys collected qualitative insights into participants' experiences. The data were analyzed using machine learning and statistical methods including k-means clustering and t-tests.

Results revealed a significant difference (p < 0.05) in performance between dominant and non-dominant hands, emphasizing the role of hand dominance in fine motor tasks. Directional biases were observed, with slightly better performance in one direction with the dominant hand. Practice lead to improved performance, suggesting potential skill acquisition through repetition. K-means clustering identified clusters associated with different player intentions, providing insights into user engagement.

The study's findings contribute to motor skills assessment, hand-eye coordination, and interactive technology design. The directional preferences observed have potential applications in rehabilitation. The gradual improvement in performance with practice opens avenues for exploration in educational and skill development contexts. Identified clusters offer insights into user engagement with broader applications in human-computer interaction, cognitive psychology, and interactive technology design.

The study concludes by proposing enhancements to the EBW device, including the integration of computer vision technology for precise tracking and a variable resistor mechanism for accurate touch location tracking. The incorporation of a small magnetic field around the wire is suggested to capture sensitive dexterity parameters. These enhancements aim to advance the EBW device's capabilities for research in various domains.

Beyond device improvements, the EBW is seen as a valuable tool for studying neurological disorders, investigating the relationship between cognitive load and motor performance, and conducting longitudinal studies on skill acquisition. The device's versatility positions it as a valuable tool for advancing understanding in neurology, cognitive science, education, human-computer interaction, and interactive technology design.

In conclusion, the study successfully developed and evaluated a research-grade EBW tool, highlighting its capability to capture differences in participant performance. The proposed enhancements and potential applications across diverse research domains demonstrate the versatility and significance of the EBW device in advancing knowledge and technology.

Keywords:

Electrical Buzz Wire (EBW), Arduino hardware, hand-eye coordination, motor skills assessment, interactive technology design, education.