Fitts’ Law Index of Difficulty Evaluated and Extended for Screen Size Variations

Okada, Hidehiko; Akiba, Takayuki

doi:10.5772/9496

Cited by 1 publication

(2 citation statements)

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“…Having analyzed the impact of speed-accuracy trade-off in pointing tasks in [2], the authors have proposed a modified spatial adjustment factor, , as in (6), where is a power factor expressing a nonlinear relation between and . was formulated using this modified spatial adjustment factor , as in (7). The value of was empirically determined and cannot be generalized for other datasets.…”

Section: Related Workmentioning

confidence: 99%

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ANTASID: A Novel Temporal Adjustment to Shannon’s Index of Difficulty for Quantifying the Perceived Difficulty of Uncontrolled Pointing Tasks

et al. 2022

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Shannon's Index of Difficulty ( ), reputable for quantifying the perceived difficulty of pointing tasks as a logarithmic relationship between movement-amplitude ( ) and target-width (W), is used for modelling the corresponding observed movement-times ( ) in such tasks in controlled experimental setup. However, reallife pointing tasks are both spatially and temporally uncontrolled, being influenced by factors such as -human aspects, subjective behavior, the context of interaction, the inherent speed-accuracy trade-off where, emphasizing accuracy compromises speed of interaction and vice versa, and so on. Effective target-width ( ) is considered as spatial adjustment for compensating accuracy. However, no significant adjustment exists in the literature for compensating speed in different contexts of interaction in these tasks. As a result, without any temporal adjustment, the true difficulty of an uncontrolled pointing task may be inaccurately quantified using Shannon's . To verify this, we propose ANTASID (A Novel Temporal Adjustment to Shannon's ID) formulation with detailed performance analysis. We hypothesized a temporal adjustment factor ( ) as a binary logarithm of , compensating for speed due to contextual differences and minimizing the non-linearity between movementamplitude and target-width. Considering spatial and/or temporal adjustments to , we conducted regression analysis using our own and Benchmark datasets in both controlled and uncontrolled scenarios of pointing tasks with a generic mouse. ANTASID formulation showed significantly superior fitness values and throughput in all the scenarios while reducing the standard error. Furthermore, the quantification of with ANTASID varied significantly compared to the classical formulations of Shannon's , validating the purpose of this study.

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Section: Related Workmentioning

confidence: 99%

“…Researchers have also studied the effect of screen size variations on in controlled experimental conditions [7]. Their findings revealed that the ratio of and in , fails to capture the true perceived difficulty in pointing tasks.…”

Section: = *mentioning

confidence: 99%