HCSep 28, 2020

Metrics for Multi-Touch Input Technologies

arXiv:2009.13219v12 citations
Originality Synthesis-oriented
AI Analysis

This work tackles a foundational problem for researchers and designers in human-computer interaction by identifying a critical gap in multi-touch technology evaluation.

The paper addresses the lack of standardized performance metrics and prediction models for multi-touch input technologies, which hinders comparison and design efficiency, proposing the need for dedicated approaches to solve this problem.

Multi-touch input technologies are becoming popular with the increased interest in touchscreen- and touchpad-based devices. A great deal of work has been done on different multi-touch technologies, and researchers and practitioners are frequently coming up with new ones. However, it is almost impossible to compare such technologies due to the absence of multi-touch performance metrics. Designers usually use their own methods to report their techniques' performances. Moreover, multi-touch interaction was never modeled. That makes it impossible for designers to predict the performance of a new technology before developing it, costing them valuable time, effort, and money. This article discusses the necessity of having dedicated performance metrics and prediction model for multi-touch technologies, and ways of approaching that.

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