Which real-time rendering algorithm affords

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A single LRA instead of our stacked dual LRAs. Using the same method, we also determined that sending a maximum intensity signal of 1.00 to both LRAs produced a maximum amplitude of 1.74 G. Independent and Dependent Variables For our experiment, we had three independent variables: the real-time tactile rendering algorithm (Grid Region or Syncopated Energy), the rendered amplitude (1.40 or 1.74 G), and the vibrotactile pattern rendered (one of the five single-finger or five whole-hand touch gestures). We varied all these independent variables with subject. We also used two trials for each condition.

Hence, each participant evaluated a total of 80 vibrotactile patterns (2 algorithms × 2 amplitudes × 10 gestures × 2 trials). For our experiment, we had two dependent variables: the tactile pattern recognition accuracy and a continuity rating. Recognition Spain phone number list accuracy was calculated as the percentage of the correctly recognized patterns compared to the total evaluated patterns, similar to Yanagida et al. (2004). Continuity ratings were collected for each evaluated pattern, similar to the subjective measures used by Israr and Poupyrev (2011a). For each pattern, participants had to rate the perceived continuity of the pattern from.



Research Questions and Hypotheses For our experiment, we had four research questions. IQ1. The greater recognition accuracy? IH1a. Due to its smooth motions but distinguishing syncopations, we hypothesized that our new Syncopated Energy algorithm would yield better recognition accuracy than the Grid Region algorithm for single-finger tactile gestures. IH1b. However, we hypothesized that there would not be a significant difference between the two for the whole-hand gestures, due to the gestures' large distinguishing motions.