The goal of this study was to empirically examine the relationship between individuals’ reported trust in automated driving features and their level self-confidence when driving. This utilized a series vignettes depict three different levels automation accordance with SAE International Automation. portrayed low (level 1), moderate (level3), high 5) functioning autonomous features. A self-effica...

We present a method to generate effective confirmation and guidance using concept-level confidence measures (CM) derived from speech recognizer output in order to handle speech recognition errors. We define two conceptlevel CM, which are on content-words and on semanticattributes, using 10-best outputs of the speech recognizer and parsing with phrase-level grammars. Content-word CM is useful fo...

We show how to introduce the Value at Risk (VaR) concept in optimization algorithms with emphasis in calculation complexity issues. To do so we assume known the PDF of the uncertainties. Our aim is to quantify our confidence on the optimal solution at low complexity without a sampling of the control space. The notion of over-solving appears naturally where it becomes useless to solve accurately...

Second Language Acquisition (SLA) is a complex psychosomatic process. As per educational psychology, its acquisition process depends on some affective determinants related to learners' self-confidence that accelerates learners’ zeal of learning the language. However, studies are rare empirically explore factors or ways help learners build their level. Thus, prime focus this study find out assoc...

Errors in the output of a speech recogniser can be said to be due to the interaction of inadequate phonetic and language modelling components. We investigate an approach to estimating confidence scores for the words output by a recogniser in which the language modelling and acoustic modelling are decoupled by the use of a phone recogniser working in parallel with the word recogniser. An advanta...