Driving among individuals with chronic conditions: A systematic review of applied research using kinematic driving sensors.

Background: Kinematic driving data studies are a novel methodology relevant to health care, but prior studies have considerable variance in their methods, populations, and findings suggesting a need for critical analysis and appraisal for feasibility and methodological guidelines.

Methods: We assessed kinematic driving studies of adults with chronic conditions for study feasibility, characteristics, and key findings, to generate recommendations for future study designs, and to identify promising directions for applications of kinematic driving data. PRISMA was used to guide the review and searches included PubMed, CINAHL, and Compendex.

Classification of Driver Distraction: A Comprehensive Analysis of Feature Generation, Machine Learning, and Input Measures.

Objective: The objective of this study was to analyze a set of driver performance and physiological data using advanced machine learning approaches, including feature generation, to determine the best-performing algorithms for detecting driver distraction and predicting the source of distraction.

Background: Distracted driving is a causal factor in many vehicle crashes, often resulting in injuries and deaths. As mobile devices and in-vehicle information systems become more prevalent, the ability to detect and mitigate driver distraction becomes more important.

On-Road Evaluation of In-vehicle Interface Characteristics and Their Effects on Performance of Visual Detection on the Road and Manual Entry.

Objective: This study investigated the impact of in-vehicle interface characteristics on drivers' multitasking performance measures relating to visual attention management, concerning the distraction potential of in-vehicle touchscreens.

Background: Compared with physical controls providing drivers with naturalistic nonvisual cues, in-vehicle touchscreen interaction relies on vision to a greater extent, leading to more time with eyes off the road and concerns for safety. Little is known from existing research about the extent to which synthetic feedback of in-vehicle touchscreens support visual attention of multitasking drivers, while automakers are increasingly incorporating nondriving functions into in-vehicle touchscreens.

Driving While Interacting With Google Glass: Investigating the Combined Effect of Head-Up Display and Hands-Free Input on Driving Safety and Multitask Performance.

Objective: This study evaluated the individual and combined effects of voice (vs. manual) input and head-up (vs. head-down) display in a driving and device interaction task.

Continuously informing vibrotactile displays in support of attention management and multitasking in anesthesiology.

Objective: A novel vibrotactile display type was investigated to determine the potential benefits for supporting the attention and task management of anesthesiologists.

Background: Recent research has shown physiological monitoring and multitasking performance can benefit from displaying patient data via alarm-like tactile notifications and via continuously informing auditory displays (e.g.

When Content Matters: The Role of Processing Code in Tactile Display Design.

The distribution of tasks and stimuli across multiple modalities has been proposed as a means to support multitasking in data-rich environments. Recently, the tactile channel and, more specifically, communication via the use of tactile/haptic icons have received considerable interest. Past research has examined primarily the impact of concurrent task modality on the effectiveness of tactile information presentation.

Cross-modal links among vision, audition, and touch in complex environments.

Objectives: This study sought to determine whether performance effects of cross-modal spatial links that were observed in earlier laboratory studies scale to more complex environments and need to be considered in multimodal interface design. It also revisits the unresolved issue of cross-modal cuing asymmetries.

Background: Previous laboratory studies employing simple cues, tasks, and/or targets have demonstrated that the efficiency of processing visual, auditory, and tactile stimuli is affected by the modality, lateralization, and timing of surrounding cues.