Sentence examples for increase comprehensibility from inspiring English sources

However, for younger viewers this reduced complexity may accentuate critical expressive features and increase comprehensibility, which in turn leads to increased attention (Pempek, Kirkorian, Richards, Anderson, Lund & Stevens, 2010, Kidd, Piantadosi & Aslin, 2012).

Griffith, Wahl and Izurieta (2011) introduced the TrueRefactor tool to find and remove a set of code smells from a program in order to increase comprehensibility.

For example, the Danish translation of item 3 deleted "I am satisfied that" to increase comprehensibility of the item in Danish.

This pretest prompted changes that essentially involved spelling out both the main question and answer options more thoroughly (e.g. "problems with running" instead of "running" and "never was a problem" instead of "never") to increase comprehensibility.

In conclusion, our results indicate that symbols should be designed to be comprehensible as possible (i.e. to have a high probability of having its meaning guessed) and that, in some instances, added complexity can increase comprehensibility.

In order to increase comprehensibility in the reporting phase, we hereby distinguished between slight frailty (ZZP 1), moderate frailty (ZZP 2 and 3), and severe frailty (ZZP 4, 5, and 6).

A significant main effect of comprehensibility complexity condition (low, medium and high) indicated that mean target composite confidence increased with increasing comprehensibility and complexity, F 2,87) = 98.87, p < 0.01, η = 0.69 (see Table 2).

Alternatively, it may be the case that the increased visual complexity would inhibit comprehension of the symbols – that is, the increased complexity may prevent, or override, a benefit of increased comprehensibility.

In addition, the predictions regarding the effects of symbol characteristics on reaction times are unclear because increased complexity might be expected to lengthen initial visual processing, whereas increased comprehensibility might be expected to shorten the decision stage.

Currently, most research focuses on improving the accuracy or precision of these models and comparatively little research has been undertaken to increase their comprehensibility to the analyst or end-user.

Finally, studies have shown that less complex information displays should be employed to increase the comprehensibility and usage of report cards [17, 23].