In-Car Media Search (original) (raw)

A comparison between spoken queries and menu-based interfaces for in-car digital music selection

2005

Abstract. Distracted driving is a significant issue for our society today, and yet information technologies, including growing digital music collections, continue to be introduced into the automobile. This paper describes work concerning methods designed to lessen cognitive load and distracting visual demands on drivers as they go about the task of searching for and listening to digital music.

Human Computer Inte raction in the Car

2010

Cars have become complex interactive systems. Mechanical controls and electrical systems are transformed to the digital realm. It is common that drivers operate a vehicle and, at the same time, interact with a variety of devices and applications. Texting while driving, looking up an address for the navigation system, and taking a phone call are just some common examples that add value for the driver, but also increase the risk of driving. Novel interaction technologies create many opportunities for designing useful and attractive in-car user interfaces. With technologies that assist the user in driving, such as assistive cruise control and lane keeping, the user interface is essential to the way people perceive the driving experience. New means for user interface development and interaction design are required as the number of factors influencing the design space for automotive user interfaces is increasing. In comparison to other domains, a trial and error approach while the product is already in the market is not acceptable as the cost of failure may be fatal. User interface design in the automotive domain is relevant across many areas ranging from primary driving control, to assisted functions, to navigation, information services, entertainment and games.

Evaluation of different speech and touch interfaces to in-vehicle music retrieval systems

Accident Analysis & Prevention, 2010

In-vehicle music retrieval systems are becoming more and more popular. Previous studies have shown that they pose a real hazard to drivers when the interface is a tactile one which requires multiple entries and a combination of manual control and visual feedback. Voice interfaces exist as an alternative. Such interfaces can require either multiple or single conversational turns. In this study, each of 17 participants between the ages of 18 and 30 years old was asked to use three different music-retrieval systems (one with a multiple entry touch interface, the iPod™, one with a multiple turn voice interface, interface B, and one with a single turn voice interface, interface C) while driving through a virtual world. Measures of secondary task performance, eye behavior, vehicle control, and workload were recorded. When compared with the touch interface, the voice interfaces reduced the total time drivers spent with their eyes off the forward roadway, especially in prolonged glances, as well as both the total number of glances away from the forward roadway and the perceived workload. Furthermore, when compared with driving without a secondary task, both voice interfaces did not significantly impact hazard anticipation, the frequency of long glances away from the forward roadway, or vehicle control. The multiple turn voice interface (B) significantly increased both the time it took drivers to complete the task and the workload. The implications for interface design and safety are discussed.

Voice interfaced vehicle user help

2010

Manuals were designed to provide support and information about the usage and maintenance of the vehicle. In many cases user's manuals are the driver's only guidance. However, lack of clarity and efficiency of manuals lead to user dissatisfaction. In vehicles this problem is even more crucial given that driving a motor vehicle is, for many people, the most complex and potentially dangerous task they will perform during their lifetime. In this paper we present a voice interfaced driver manual that can potentially fix the deficiencies of its alternatives. In addition we aim to provide a case for the integration of such technology in a vehicle to reduce driver distraction, increase driver satisfaction, and manual usability, while also benefiting Original Equipment Manufacturers (OEMs) in lowering costs and reducing the documentation process.

Improving perceived accuracy for in-car media search

Speech recognition technology is prone to mistakes, but this is not the only source of errors that cause speech recognition systems to fail; sometimes the user simply does not utter the command correctly. Usually, user mistakes are not considered when a system is designed and evaluated. This creates a gap between the claimed accuracy of the system and the actual accuracy perceived by the users. We address this issue quantitatively in our in-car infotainment media search task and propose expanding the capability of voice command to accommodate user mistakes while retaining a high percentage of the performance for queries with correct syntax. As a result, failures caused by user mistakes were reduced by an absolute 70% at the cost of a drop in accuracy of only 0.28%.

Comparison of manual vs. speech-based interaction with in-vehicle information systems

Accident Analysis and Prevention, 2009

This study examined whether speech-based interfaces for different in-vehicle-information-systems (IVIS) reduce the distraction caused by these systems. For three frequently used systems (audio, telephone with name selection, navigation system with address entry and point of interest selection) speech, manual control and driving without IVIS (baseline) were compared. The Lane Change Task was used to assess driving performance. Additionally, gaze behavior and a subjective measure of distraction were analyzed. Speech interfaces improved driving performance, gaze behavior and subjective distraction for all systems with the exception of point-of-interest entry. However, these improvements were overall not strong enough to reach the baseline performance level. Only in easy segments of the driving task the performance level was comparable to baseline. Thus, speech-based IVIS have to be further developed to keep the cognitive complexity at an adequate level which does not disturb driving. However, looking at the benefits, speech control is a must for the car of the future.

Evaluating Demands Associated with the Use of Voice-Based In-Vehicle Interfaces

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting, 2016

This panel addresses current efforts associated with the evaluation of demands associated with the use of voice-based in-vehicle interfaces. As generally implemented, these systems are perhaps best characterized as mixed-mode interfaces drawing upon varying levels of auditory, vocal, visual, manual and cognitive resources. Numerous efforts have quantified demands associated with these systems and several have proposing evaluation methods. However, there has been limited discussion in the scientific literature on the benefits and drawbacks of various measures of workload; appropriate reference points for comparison (i.e. just driving, visual-manual versions of the task one is looking to replace, etc.); the relationship of demand characteristics to safety; and practical design considerations that can be gleamed from efforts to date. Panelists will discuss scientific progress in the topic areas. Each panelist is expected to present a brief perspective followed by discussion and Q&A. Figure 1: Re-conceptualization of DVI demands: (a) "traditional view point" of visual-auditory-cognitive-psychomotor dimensions; (b) proposed conceptualization of modern multi-modal system demands

Can User-Paced, Menu-free Spoken Language Interfaces Improve Dual Task Handling While Driving?

Lecture Notes in Computer Science, 2014

The use of speech-based interaction over traditional means of interaction in secondary tasks may increase safety in demanding environments with high requirements on operator attention. Speech interfaces have suffered from issues similar to those of visual displays, as they often rely on a complex menu structure that corresponds to that of visual systems. Recent advances in speech technology allow the use of natural language, eliminating the need for menu structures and offering a tighter coupling between the intention to act and the completion of the action. Modern speech technology may not only make already existing types of interaction safer, but also opens up for new applications, which may enhance safety. One such application is a speech-based hazard reporting system. A small fixed-base simulator study showed that drivers adapt the timing of the hazard reports to the situation at hand, such that an increase in reported workload was avoided.

The Impact of an Adaptive User Interface on Reducing Driver Distraction

This paper discusses the impact of an adaptive prototype in-car communication system (ICCS), called MIMI (Multimodal Interface for Mobile Info-communication), on driver distraction. Existing ICCSs attempt to minimise the visual and manual distraction, but more research needs to be done to reduce cognitive distraction. MIMI was designed to address usability and safety issues with existing ICCSs. Few ICCSs available today consider the driver’s context in the design of the user interface. An adaptive user interface (AUI) was designed and integrated into a conventional dialogue system in order to prevent the driver from receiving calls and sending text messages under high distraction conditions. The current distraction level is detected by a neural network using the driving speed and steering wheel angle of the car as inputs. An adaptive version of MIMI was compared to a non-adaptive version in a user study conducted using a simple driving simulator. The results obtained showed that the adaptive version provided several usability and safety benefits, including reducing the cognitive load, and that the users preferred the adaptive version.

Design and Elimination of Driving Distraction

IJAEM , 2023

Driving is already a complex task that requires varying degrees of cognitive and physical stress. With the advancement of technology, the automobile has become the work place of media consumption, communication center and interconnection. The car's futures have also increased. As a result, the user interaction in the car becomes crowded and complicated. This increases the number of distracted driving and increases the number of traffic accidents caused by distracted driving. This paper focuses on two main aspects of the current automobile environment, multi-modal interaction (MMI) and advanced driver assistance system (ADAS) to reduce interference. It also provides indepth market research for the future trend of smart car technology. After careful analysis, it has been found that a fun filled with many underlying picture information screen, one with a large number of small button at the center of the stack, and terrible voice recognition (VR) led to a high cognitive load, and these are the cause of driver distraction. While VR has become a standard technology, the current state of technology focuses on functional design and sales driven approaches. Most automakers have focused on the virtual reality better, but perfect in the VR is not the answer, as there are inherent challenges and limitations in respect to the in-car environment and cognitive load.