Abstract
In the rapid development of HCI technology, mouse-replacement interfaces have innovated the user interaction experience with graphical user interfaces, specifically for those with neuromuscular diseases. By employing click actuation modalities that do not require a mouse for performing the tasks of pointing and clicking, the individuals are provided with a solution for effective interaction with computers. We present an alternative click actuation modality called “sound-click recognition” for the users of Camera Mouse, a mouse-replacement interface that tracks user motion. Using the sound-click recognition feature, users can generate a left click of the mouse based on the volume of the sound they generate. Furthermore, we present the findings of the evaluation of Camera Mouse while employing two input methods including sound-click recognition and dwell-time selection to analyze the user performance with each approach through side-by-side comparison. The metrics used to measure performance are generated by the GoFitts evaluation tool and are movement time(ms), throughput(bits/s), error rate (%), and target re-entries.
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References
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Acknowledgements
The undergraduate authors would like to acknowledge and appreciate Clark University’s Department of Computer Science for providing guidance and necessary resources for this research project. NSF support for this project is also acknowledged and greatly appreciated (#IIS-1551590).
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Pagan, P., Choi, H., Magee, J. (2022). Camera Mouse: Sound-Based Activation as a New Approach to Click Generation. In: Duffy, V.G., Gao, Q., Zhou, J., Antona, M., Stephanidis, C. (eds) HCI International 2022 – Late Breaking Papers: HCI for Health, Well-being, Universal Access and Healthy Aging. HCII 2022. Lecture Notes in Computer Science, vol 13521. Springer, Cham. https://doi.org/10.1007/978-3-031-17902-0_35
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DOI: https://doi.org/10.1007/978-3-031-17902-0_35
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