8,209 research outputs found

    Ecological IVIS design : using EID to develop a novel in-vehicle information system

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    New in-vehicle information systems (IVIS) are emerging which purport to encourage more environment friendly or โ€˜greenโ€™ driving. Meanwhile, wider concerns about road safety and in-car distractions remain. The โ€˜Foot-LITEโ€™ project is an effort to balance these issues, aimed at achieving safer and greener driving through real-time driving information, presented via an in-vehicle interface which facilitates the desired behaviours while avoiding negative consequences. One way of achieving this is to use ecological interface design (EID) techniques. This article presents part of the formative human-centred design process for developing the in-car display through a series of rapid prototyping studies comparing EID against conventional interface design principles. We focus primarily on the visual display, although some development of an ecological auditory display is also presented. The results of feedback from potential users as well as subject matter experts are discussed with respect to implications for future interface design in this field

    Analysis of the Use of Interaction Design in the Interface of In-vehicle Multimedia Platform

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    Aiming at the interface design of in-vehicle multimedia platform, with interaction design as the core, this paper analyzes the important role played by interaction design in the interface design of in-vehicle multimedia platform. By analyzing the definition of interaction design and the characteristics of in-vehicle multimedia platform, this paper proposes how to use interaction design in the interface design of in-vehicle multimedia platform. The advantages of interaction design in user experience, usability and efficiency of in-vehicle multimedia platform are analyzed in detail with examples, and the corresponding solutions are proposed for the problems in the interface design of in-vehicle multimedia platform

    Modelling and evaluating driversโ€™ interactions with in-vehicle information systems (IVIS)

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    Evaluating the usability of In-Vehicle Information Systems (IVIS) guides engineers in understanding the interaction design limitations of current systems and assessing the potential of concept technologies. The complexity and diversity of the driving task presents a unique challenge in defining usability: user-IVIS interactions create a dual-task scenario, in which conflicts can arise between the primary driving tasks and secondary IVIS tasks. This, and the safety-critical nature of driving, must be specified in defining and evaluating IVIS usability.Work was carried out in the initial phases of this project to define usability for IVIS and to develop a framework for evaluation. One of the key findings of this work was the importance of context-of-use in defining usability, so that specific usability criteria and appropriate evaluation methods can be identified. The evaluation methods in the framework were categorised as either analytic, i.e. applicable at the earliest stages of product development to predict performance and usability; or empirical, i.e. to measure user performance under simulated or real-world conditions. Two case studies have shown that the evaluation framework is sensitive to differences between IVIS and can identify important usability issues, which can be used to inform design improvements.The later stages of the project have focussed on Multimodal Critical Path Analysis (CPA). Initially, CPA was used to predict IVIS task interaction times for a stationary vehicle. The CPA model was extended to produce fastperson and slowperson task time estimates, as well as average predictions. In order for the CPA to be of real use to designers of IVIS, it also needed to predict dual-task IVIS interaction times, i.e. time taken to perform IVIS tasks whilst driving. A hypothesis of shared glances was developed, proposing that drivers are able to monitor two visual information sources simultaneously. The CPA technique was extended for prediction of dual-task interaction times by modelling this shared glance pattern. The hypothesis has important implications for theories of visual behaviour and for the design of future IVIS

    Designing an Adaptive Interface: Using Eye Tracking to Classify How Information Usage Changes Over Time in Partially Automated Vehicles

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    While partially automated vehicles can provide a range of benefits, they also bring about new Human Machine Interface (HMI) challenges around ensuring the driver remains alert and is able to take control of the vehicle when required. While humans are poor monitors of automated processes, specifically during โ€˜steady stateโ€™ operation, presenting the appropriate information to the driver can help. But to date, interfaces of partially automated vehicles have shown evidence of causing cognitive overload. Adaptive HMIs that automatically change the information presented (for example, based on workload, time or physiologically), have been previously proposed as a solution, but little is known about how information should adapt during steady-state driving. This study aimed to classify information usage based on driver experience to inform the design of a future adaptive HMI in partially automated vehicles. The unique feature of this study over existing literature is that each participant attended for five consecutive days; enabling a first look at how information usage changes with increasing familiarity and providing a methodological contribution to future HMI user trial study design. Seventeen participants experienced a steady-state automated driving simulation for twenty-six minutes per day in a driving simulator, replicating a regularly driven route, such as a work commute. Nine information icons, representative of future partially automated vehicle HMIs, were displayed on a tablet and eye tracking was used to record the information that the participants fixated on. The results found that information usage did change with increased exposure, with significant differences in what information participants looked at between the first and last trial days. With increasing experience, participants tended to view information as confirming technical competence rather than the future state of the vehicle. On this basis, interface design recommendations are made, particularly around the design of adaptive interfaces for future partially automated vehicles

    Gesturing on the steering wheel, a comparison with speech and touch interaction modalities

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    This paper compares an emergent interaction modality for the In-Vehicle Infotainment System (IVIS), i.e., gesturing on the steering wheel, with two more popular modalities in modern cars: touch and speech. We conducted a betweensubjects experiment with 20 participants for each modality to assess the interaction performance with the IVIS and the impact on the driving performance. Moreover, we compared the three modalities in terms of usability, subjective workload and emotional response. The results showed no statically significant differences between the three interaction modalities regarding the various indicators for the driving task performance, while significant differences were found in measures of IVIS interaction performance: users performed less interactions to complete the secondary tasks with the speech modality, while, in average, a lower task completion time was registered with the touch modality. The three interfaces were comparable in all the subjective metrics

    Queuing Network Modeling of Human Multitask Performance and its Application to Usability Testing of In-Vehicle Infotainment Systems.

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    Human performance of a primary continuous task (e.g., steering a vehicle) and a secondary discrete task (e.g., tuning radio stations) simultaneously is a common scenario in many domains. It is of great importance to have a good understanding of the mechanisms of human multitasking behavior in order to design the task environments and user interfaces (UIs) that facilitate human performance and minimize potential safety hazards. In this dissertation I investigated and modeled human multitask performance with a vehicle-steering task and several typical in-vehicle secondary tasks. Two experiments were conducted to investigate how various display designs and control modules affect the driver's eye glance behavior and performance. A computational model based on the cognitive architecture of Queuing Network-Model Human Processor (QN-MHP) was built to account for the experiment findings. In contrast to most existing studies that focus on visual search in single task situations, this dissertation employed experimental work that investigates visual search in multitask situations. A modeling mechanism for flexible task activation (rather than strict serial activations) was developed to allow the activation of a task component to be based on the completion status of other task components. A task switching scheme was built to model the time-sharing nature of multitasking. These extensions offer new theoretical insights into visual search in multitask situations and enable the model to simulate parallel processing both within one task and among multiple tasks. The validation results show that the model could account for the observed performance differences from the empirical data. Based on this model, a computer-aided engineering toolkit was developed that allows the UI designers to make quantitative prediction of the usability of design concepts and prototypes. Scientifically, the results of this dissertation research offer additional insights into the mechanisms of human multitask performance. From the engineering application and practical value perspective, the new modeling mechanism and the new toolkit have advantages over the traditional usability testing methods with human subjects by enabling the UI designers to explore a larger design space and address usability issues at the early design stages with lower cost both in time and manpower.PHDIndustrial and Operations EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/113590/1/fredfeng_1.pd

    Intravehicular, Short- and Long-Range Communication Information Fusion for Providing Safe Speed Warnings

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    Inappropriate speed is a relevant concurrent factor in many traffic accidents. Moreover, in recent years, traffic accidents numbers in Spain have fallen sharply, but this reduction has not been so significant on single carriageway roads. These infrastructures have less equipment than high-capacity roads, therefore measures to reduce accidents on them should be implemented in vehicles. This article describes the development and analysis of the impact on the driver of a warning system for the safe speed on each road section in terms of geometry, the presence of traffic jams, weather conditions, type of vehicle and actual driving conditions. This system is based on an application for smartphones and includes knowledge of the vehicle position via Ground Positioning System (GPS), access to intravehicular information from onboard sensors through the Controller Area Network (CAN) bus, vehicle data entry by the driver, access to roadside information (short-range communications) and access to a centralized server with information about the road in the current and following sections of the route (long-range communications). Using this information, the system calculates the safe speed, recommends the appropriate speed in advance in the following sections and provides warnings to the driver. Finally, data are sent from vehicles to a server to generate new information to disseminate to other users or to supervise driversโ€™ behaviour. Tests in a driving simulator have been used to define the system warnings and Human Machine Interface (HMI) and final tests have been performed on real roads in order to analyze the effect of the system on driver behavior

    Ambient hues and audible cues: An approach to automotive user interface design using multi-modal feedback

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    The use of touchscreen interfaces for in-vehicle information, entertainment, and for the control of comfort settings is proliferating. Moreover, using these interfaces requires the same visual and manual resources needed for safe driving. Guided by much of the prevalent research in the areas of the human visual system, attention, and multimodal redundancy the Hues and Cues design paradigm was developed to make touchscreen automotive user interfaces more suitable to use while driving. This paradigm was applied to a prototype of an automotive user interface and evaluated with respects to driver performance using the dual-task, Lane Change Test (LCT). Each level of the design paradigm was evaluated in light of possible gender differences. The results of the repeated measures experiment suggests that when compared to interfaces without both the Hues and the Cues paradigm applied, the Hues and Cues interface requires less mental effort to operate, is more usable, and is more preferred. However, the results differ in the degradation in driver performance with interfaces that only have visual feedback resulting in better task times and significant gender differences in the driving task with interfaces that only have auditory feedback. Overall, the results reported show that the presentation of multimodal feedback can be useful in design automotive interfaces, but must be flexible enough to account for individual differences

    Draft guidelines concerning E&D issues: The TELSCAN handbook of design guidelines for usability of systems by elderly and disabled drivers and travellers. Version 2

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    Draft guidelines concerning E&D issues: The TELSCAN handbook of design guidelines for usability of systems by elderly and disabled drivers and travellers. Version

    ์ฐจ๋Ÿ‰์šฉ ํ—ค๋“œ์—… ๋””์Šคํ”Œ๋ ˆ์ด ์„ค๊ณ„์— ๊ด€ํ•œ ์ธ๊ฐ„๊ณตํ•™ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์‚ฐ์—…๊ณตํ•™๊ณผ, 2020. 8. ๋ฐ•์šฐ์ง„.Head-up display (HUD) systems were introduced into the automobile industry as a means for improving driving safety. They superimpose safety-critical information on top of the drivers forward field of view and thereby help drivers keep their eyes forward while driving. Since the first introduction about three decades ago, automotive HUDs have been available in various commercial vehicles. Despite the long history and potential benefits of automotive HUDs, however, the design of useful automotive HUDs remains a challenging problem. In an effort to contribute to the design of useful automotive HUDs, this doctoral dissertation research conducted four studies. In Study 1, the functional requirements of automotive HUDs were investigated by reviewing the major automakers' automotive HUD products, academic research studies that proposed various automotive HUD functions, and previous research studies that surveyed drivers HUD information needs. The review results indicated that: 1) the existing commercial HUDs perform largely the same functions as the conventional in-vehicle displays, 2) past research studies proposed various HUD functions for improving driver situation awareness and driving safety, 3) autonomous driving and other new technologies are giving rise to new HUD information, and 4) little research is currently available on HUD users perceived information needs. Based on the review results, this study provides insights into the functional requirements of automotive HUDs and also suggests some future research directions for automotive HUD design. In Study 2, the interface design of automotive HUDs for communicating safety-related information was examined by reviewing the existing commercial HUDs and display concepts proposed by academic research studies. Each display was analyzed in terms of its functions, behaviors and structure. Also, related human factors display design principles, and, empirical findings on the effects of interface design decisions were reviewed when information was available. The results indicated that: 1) information characteristics suitable for the contact-analog and unregistered display formats, respectively, are still largely unknown, 2) new types of displays could be developed by combining or mixing existing displays or display elements at both the information and interface element levels, and 3) the human factors display principles need to be used properly according to the situation and only to the extent that the resulting display respects the limitations of the human information processing, and achieving balance among the principles is important to an effective design. On the basis of the review results, this review suggests design possibilities and future research directions on the interface design of safety-related automotive HUD systems. In Study 3, automotive HUD-based take-over request (TOR) displays were developed and evaluated in terms of drivers take-over performance and visual scanning behavior in a highly automated driving situation. Four different types of TOR displays were comparatively evaluated through a driving simulator study - they were: Baseline (an auditory beeping alert), Mini-map, Arrow, and Mini-map-and-Arrow. Baseline simply alerts an imminent take-over, and was always included when the other three displays were provided. Mini-map provides situational information. Arrow presents the action direction information for the take-over. Mini-map-and-Arrow provides the action direction together with the relevant situational information. This study also investigated the relationship between drivers initial trust in the TOR displays and take-over and visual scanning behavior. The results indicated that providing a combination of machine-made decision and situational information, such as Mini-map-and-Arrow, yielded the best results overall in the take-over scenario. Also, drivers initial trust in the TOR displays was found to have significant associations with the take-over and visual behavior of drivers. The higher trust group primarily relied on the proposed TOR displays, while the lower trust group tended to more check the situational information through the traditional displays, such as side-view or rear-view mirrors. In Study 4, the effect of interactive HUD imagery location on driving and secondary task performance, driver distraction, preference, and workload associated with use of scrolling list while driving were investigated. A total of nine HUD imagery locations of full-windshield were examined through a driving simulator study. The results indicated the HUD imagery location affected all the dependent measures, that is, driving and task performance, drivers visual distraction, preference and workload. Considering both objective and subjective evaluations, interactive HUDs should be placed near the driver's line of sight, especially near the left-bottom on the windshield.์ž๋™์ฐจ ํ—ค๋“œ์—… ๋””์Šคํ”Œ๋ ˆ์ด๋Š” ์ฐจ๋‚ด ๋””์Šคํ”Œ๋ ˆ์ด ์ค‘ ํ•˜๋‚˜๋กœ ์šด์ „์ž์—๊ฒŒ ํ•„์š”ํ•œ ์ •๋ณด๋ฅผ ์ „๋ฐฉ์— ํ‘œ์‹œํ•จ์œผ๋กœ์จ, ์šด์ „์ž๊ฐ€ ์šด์ „์„ ํ•˜๋Š” ๋™์•ˆ ์ „๋ฐฉ์œผ๋กœ ์‹œ์„ ์„ ์œ ์ง€ํ•  ์ˆ˜ ์žˆ๊ฒŒ ๋„์™€์ค€๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์šด์ „์ž์˜ ์ฃผ์˜ ๋ถ„์‚ฐ์„ ์ค„์ด๊ณ , ์•ˆ์ „์„ ํ–ฅ์ƒ์‹œํ‚ค๋Š”๋ฐ ๋„์›€์ด ๋  ์ˆ˜ ์žˆ๋‹ค. ์ž๋™์ฐจ ํ—ค๋“œ์—… ๋””์Šคํ”Œ๋ ˆ์ด ์‹œ์Šคํ…œ์€ ์•ฝ 30๋…„ ์ „ ์šด์ „์ž์˜ ์•ˆ์ „์„ ํ–ฅ์ƒ์‹œํ‚ค๊ธฐ ์œ„ํ•œ ์ˆ˜๋‹จ์œผ๋กœ ์ž๋™์ฐจ ์‚ฐ์—…์— ์ฒ˜์Œ ๋„์ž…๋œ ์ด๋ž˜๋กœ ํ˜„์žฌ๊นŒ์ง€ ๋‹ค์–‘ํ•œ ์ƒ์šฉ์ฐจ์—์„œ ์‚ฌ์šฉ๋˜๊ณ  ์žˆ๋‹ค. ์•ˆ์ „๊ณผ ํŽธ์˜ ์ธก๋ฉด์—์„œ ์ž๋™์ฐจ ํ—ค๋“œ์—… ๋””์Šคํ”Œ๋ ˆ์ด์˜ ์‚ฌ์šฉ์€ ์ ์  ๋” ์ฆ๊ฐ€ํ•  ๊ฒƒ์œผ๋กœ ์˜ˆ์ƒ๋œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด๋Ÿฌํ•œ ์ž๋™์ฐจ ํ—ค๋“œ์—… ๋””์Šคํ”Œ๋ ˆ์ด์˜ ์ž ์žฌ์  ์ด์ ๊ณผ ๋ฐœ์ „ ๊ฐ€๋Šฅ์„ฑ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , ์œ ์šฉํ•œ ์ž๋™์ฐจ ํ—ค๋“œ์—… ๋””์Šคํ”Œ๋ ˆ์ด๋ฅผ ์„ค๊ณ„ํ•˜๋Š” ๊ฒƒ์€ ์—ฌ์ „ํžˆ ์–ด๋ ค์šด ๋ฌธ์ œ์ด๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ๋Š” ์ด๋Ÿฌํ•œ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ณ , ๊ถ๊ทน์ ์œผ๋กœ ์œ ์šฉํ•œ ์ž๋™์ฐจ ํ—ค๋“œ์—… ๋””์Šคํ”Œ๋ ˆ์ด ์„ค๊ณ„์— ๊ธฐ์—ฌํ•˜๊ณ ์ž ์ด 4๊ฐ€์ง€ ์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ์ฒซ ๋ฒˆ์งธ ์—ฐ๊ตฌ๋Š” ์ž๋™์ฐจ ํ—ค๋“œ์—… ๋””์Šคํ”Œ๋ ˆ์ด์˜ ๊ธฐ๋Šฅ ์š”๊ตฌ ์‚ฌํ•ญ๊ณผ ๊ด€๋ จ๋œ ๊ฒƒ์œผ๋กœ์„œ, ํ—ค๋“œ์—… ๋””์Šคํ”Œ๋ ˆ์ด ์‹œ์Šคํ…œ์„ ํ†ตํ•ด ์–ด๋–ค ์ •๋ณด๋ฅผ ์ œ๊ณตํ•  ๊ฒƒ์ธ๊ฐ€์— ๋Œ€ํ•œ ๋‹ต์„ ๊ตฌํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด์— ์ฃผ์š” ์ž๋™์ฐจ ์ œ์กฐ์—…์ฒด๋“ค์˜ ํ—ค๋“œ์—… ๋””์Šคํ”Œ๋ ˆ์ด ์ œํ’ˆ๋“ค๊ณผ, ์ž๋™์ฐจ ํ—ค๋“œ์—… ๋””์Šคํ”Œ๋ ˆ์ด์˜ ๋‹ค์–‘ํ•œ ๊ธฐ๋Šฅ๋“ค์„ ์ œ์•ˆํ•œ ํ•™์ˆ  ์—ฐ๊ตฌ, ๊ทธ๋ฆฌ๊ณ  ์šด์ „์ž์˜ ์ •๋ณด ์š”๊ตฌ ์‚ฌํ•ญ๋“ค์„ ์ฒด๊ณ„์  ๋ฌธํ—Œ ๊ณ ์ฐฐ ๋ฐฉ๋ฒ•๋ก ์„ ํ†ตํ•ด ํฌ๊ด„์ ์œผ๋กœ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ์ž๋™์ฐจ ํ—ค๋“œ์—… ๋””์Šคํ”Œ๋ ˆ์ด์˜ ๊ธฐ๋Šฅ์  ์š”๊ตฌ ์‚ฌํ•ญ์— ๋Œ€ํ•˜์—ฌ ๊ฐœ๋ฐœ์ž, ์—ฐ๊ตฌ์ž, ์‚ฌ์šฉ์ž ์ธก๋ฉด์„ ๋ชจ๋‘ ๊ณ ๋ คํ•œ ํ†ตํ•ฉ๋œ ์ง€์‹์„ ์ „๋‹ฌํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด ์ž๋™์ฐจ ํ—ค๋“œ์—… ๋””์Šคํ”Œ๋ ˆ์ด์˜ ๊ธฐ๋Šฅ ์š”๊ตฌ ์‚ฌํ•ญ์— ๋Œ€ํ•œ ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ์„ ์ œ์‹œํ•˜์˜€๋‹ค. ๋‘ ๋ฒˆ์งธ ์—ฐ๊ตฌ๋Š” ์•ˆ์ „ ๊ด€๋ จ ์ •๋ณด๋ฅผ ์ œ๊ณตํ•˜๋Š” ์ž๋™์ฐจ ํ—ค๋“œ์—… ๋””์Šคํ”Œ๋ ˆ์ด์˜ ์ธํ„ฐํŽ˜์ด์Šค ์„ค๊ณ„์™€ ๊ด€๋ จ๋œ ๊ฒƒ์œผ๋กœ, ํ—ค๋“œ์—… ๋””์Šคํ”Œ๋ ˆ์ด ์‹œ์Šคํ…œ์„ ํ†ตํ•ด ์•ˆ์ „ ๊ด€๋ จ ์ •๋ณด๋ฅผ ์–ด๋–ป๊ฒŒ ์ œ๊ณตํ•  ๊ฒƒ์ธ๊ฐ€์— ๋Œ€ํ•œ ๋‹ต์„ ๊ตฌํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์‹ค์ œ ์ž๋™์ฐจ๋“ค์˜ ํ—ค๋“œ์—… ๋””์Šคํ”Œ๋ ˆ์ด ์‹œ์Šคํ…œ์—์„œ๋Š” ์–ด๋–ค ๋””์Šคํ”Œ๋ ˆ์ด ์ปจ์…‰๋“ค์ด ์‚ฌ์šฉ๋˜์—ˆ๋Š”์ง€, ๊ทธ๋ฆฌ๊ณ  ํ•™๊ณ„์—์„œ ์ œ์•ˆ๋œ ๋””์Šคํ”Œ๋ ˆ์ด ์ปจ์…‰๋“ค์—๋Š” ์–ด๋–ค ๊ฒƒ๋“ค์ด ์žˆ๋Š”์ง€ ์ฒด๊ณ„์  ๋ฌธํ—Œ ๊ณ ์ฐฐ ๋ฐฉ๋ฒ•๋ก ์„ ํ†ตํ•ด ๊ฒ€ํ† ํ•˜์˜€๋‹ค. ๊ฒ€ํ† ๋œ ๊ฒฐ๊ณผ๋Š” ๊ฐ ๋””์Šคํ”Œ๋ ˆ์ด์˜ ๊ธฐ๋Šฅ๊ณผ ๊ตฌ์กฐ, ๊ทธ๋ฆฌ๊ณ  ์ž‘๋™ ๋ฐฉ์‹์— ๋”ฐ๋ผ ์ •๋ฆฌ๋˜์—ˆ๊ณ , ๊ด€๋ จ๋œ ์ธ๊ฐ„๊ณตํ•™์  ๋””์Šคํ”Œ๋ ˆ์ด ์„ค๊ณ„ ์›์น™๊ณผ ์‹คํ—˜์  ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋“ค์„ ํ•จ๊ป˜ ๊ฒ€ํ† ํ•˜์˜€๋‹ค. ๊ฒ€ํ† ๋œ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์•ˆ์ „ ๊ด€๋ จ ์ •๋ณด๋ฅผ ์ œ๊ณตํ•˜๋Š” ์ž๋™์ฐจ ํ—ค๋“œ์—… ๋””์Šคํ”Œ๋ ˆ์ด์˜ ์ธํ„ฐํŽ˜์ด์Šค ์„ค๊ณ„์— ๋Œ€ํ•œ ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ์„ ์ œ์‹œํ•˜์˜€๋‹ค. ์„ธ ๋ฒˆ์งธ ์—ฐ๊ตฌ๋Š” ์ž๋™์ฐจ ํ—ค๋“œ์—… ๋””์Šคํ”Œ๋ ˆ์ด ๊ธฐ๋ฐ˜์˜ ์ œ์–ด๊ถŒ ์ „ํ™˜ ๊ด€๋ จ ์ธํ„ฐํŽ˜์ด์Šค ์„ค๊ณ„์™€ ํ‰๊ฐ€์— ๊ด€ํ•œ ๊ฒƒ์ด๋‹ค. ์ œ์–ด๊ถŒ ์ „ํ™˜์ด๋ž€, ์ž์œจ์ฃผํ–‰ ์ƒํƒœ์—์„œ ์šด์ „์ž๊ฐ€ ์ง์ ‘ ์šด์ „์„ ํ•˜๋Š” ์ˆ˜๋™ ์šด์ „ ์ƒํƒœ๋กœ ์ „ํ™˜์ด ๋˜๋Š” ๊ฒƒ์„ ์˜๋ฏธํ•œ๋‹ค. ๋”ฐ๋ผ์„œ ๊ฐ‘์ž‘์Šค๋Ÿฐ ์ œ์–ด๊ถŒ ์ „ํ™˜ ์š”์ฒญ์ด ๋ฐœ์ƒํ•˜๋Š” ๊ฒฝ์šฐ, ์šด์ „์ž๊ฐ€ ์•ˆ์ „ํ•˜๊ฒŒ ๋Œ€์ฒ˜ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ๋น ๋ฅธ ์ƒํ™ฉ ํŒŒ์•…๊ณผ ์˜์‚ฌ ๊ฒฐ์ •์ด ํ•„์š”ํ•˜๊ฒŒ ๋˜๊ณ , ์ด๋ฅผ ํšจ๊ณผ์ ์œผ๋กœ ๋„์™€์ฃผ๊ธฐ ์œ„ํ•œ ์ธํ„ฐํŽ˜์ด์Šค ์„ค๊ณ„์— ๋Œ€ํ•ด ์—ฐ๊ตฌํ•  ํ•„์š”์„ฑ์ด ์žˆ๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ž๋™์ฐจ ํ—ค๋“œ์—… ๋””์Šคํ”Œ๋ ˆ์ด ๊ธฐ๋ฐ˜์˜ ์ด 4๊ฐœ์˜ ์ œ์–ด๊ถŒ ์ „ํ™˜ ๊ด€๋ จ ๋””์Šคํ”Œ๋ ˆ์ด(๊ธฐ์ค€ ๋””์Šคํ”Œ๋ ˆ์ด, ๋ฏธ๋‹ˆ๋งต ๋””์Šคํ”Œ๋ ˆ์ด, ํ™”์‚ดํ‘œ ๋””์Šคํ”Œ๋ ˆ์ด, ๋ฏธ๋‹ˆ๋งต๊ณผ ํ™”์‚ดํ‘œ ๋””์Šคํ”Œ๋ ˆ์ด)๋ฅผ ์ œ์•ˆํ•˜์˜€๊ณ , ์ œ์•ˆ๋œ ๋””์Šคํ”Œ๋ ˆ์ด ๋Œ€์•ˆ๋“ค์€ ์ฃผํ–‰ ์‹œ๋ฎฌ๋ ˆ์ดํ„ฐ ์‹คํ—˜์„ ํ†ตํ•ด ์ œ์–ด๊ถŒ ์ „ํ™˜ ์ˆ˜ํ–‰ ๋Šฅ๋ ฅ๊ณผ ์•ˆ๊ตฌ์˜ ์›€์ง์ž„ ํŒจํ„ด, ๊ทธ๋ฆฌ๊ณ  ์‚ฌ์šฉ์ž์˜ ์ฃผ๊ด€์  ํ‰๊ฐ€ ์ธก๋ฉด์—์„œ ํ‰๊ฐ€๋˜์—ˆ๋‹ค. ๋˜ํ•œ ์ œ์•ˆ๋œ ๋””์Šคํ”Œ๋ ˆ์ด ๋Œ€์•ˆ๋“ค์— ๋Œ€ํ•ด ์šด์ „์ž๋“ค์˜ ์ดˆ๊ธฐ ์‹ ๋ขฐ๋„ ๊ฐ’์„ ์ธก์ •ํ•˜์—ฌ ๊ฐ ๋””์Šคํ”Œ๋ ˆ์ด์— ๋”ฐ๋ฅธ ์šด์ „์ž๋“ค์˜ ํ‰๊ท  ์‹ ๋ขฐ๋„ ์ ์ˆ˜์— ๋”ฐ๋ผ ์ œ์–ด๊ถŒ ์ „ํ™˜ ์ˆ˜ํ–‰ ๋Šฅ๋ ฅ๊ณผ ์•ˆ๊ตฌ์˜ ์›€์ง์ž„ ํŒจํ„ด, ๊ทธ๋ฆฌ๊ณ  ์ฃผ๊ด€์  ํ‰๊ฐ€๊ฐ€ ์–ด๋–ป๊ฒŒ ๋‹ฌ๋ผ์ง€๋Š”์ง€ ๋ถ„์„ํ•˜์˜€๋‹ค. ์‹คํ—˜ ๊ฒฐ๊ณผ, ์ œ์–ด๊ถŒ ์ „ํ™˜ ์ƒํ™ฉ์—์„œ ์ž๋™ํ™”๋œ ์‹œ์Šคํ…œ์ด ์ œ์•ˆํ•˜๋Š” ์ •๋ณด์™€ ๊ทธ์™€ ๊ด€๋ จ๋œ ์ฃผ๋ณ€ ์ƒํ™ฉ ์ •๋ณด๋ฅผ ํ•จ๊ป˜ ์ œ์‹œํ•ด ์ฃผ๋Š” ๋””์Šคํ”Œ๋ ˆ์ด๊ฐ€ ๊ฐ€์žฅ ์ข‹์€ ๊ฒฐ๊ณผ๋ฅผ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค. ๋˜ํ•œ ๊ฐ ๋””์Šคํ”Œ๋ ˆ์ด์— ๋Œ€ํ•œ ์šด์ „์ž์˜ ์ดˆ๊ธฐ ์‹ ๋ขฐ๋„ ์ ์ˆ˜๋Š” ๋””์Šคํ”Œ๋ ˆ์ด์˜ ์‹ค์ œ ์‚ฌ์šฉ ํ–‰ํƒœ์™€ ๋ฐ€์ ‘ํ•œ ๊ด€๋ จ์ด ์žˆ์Œ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์‹ ๋ขฐ๋„ ์ ์ˆ˜์— ๋”ฐ๋ผ ์‹ ๋ขฐ๋„๊ฐ€ ๋†’์€ ๊ทธ๋ฃน๊ณผ ๋‚ฎ์€ ๊ทธ๋ฃน์œผ๋กœ ๋ถ„๋ฅ˜๋˜์—ˆ๊ณ , ์‹ ๋ขฐ๋„๊ฐ€ ๋†’์€ ๊ทธ๋ฃน์€ ์ œ์•ˆ๋œ ๋””์Šคํ”Œ๋ ˆ์ด๋“ค์ด ๋ณด์—ฌ์ฃผ๋Š” ์ •๋ณด๋ฅผ ์ฃผ๋กœ ๋ฏฟ๊ณ  ๋”ฐ๋ฅด๋Š” ๊ฒฝํ–ฅ์ด ์žˆ์—ˆ๋˜ ๋ฐ˜๋ฉด, ์‹ ๋ขฐ๋„๊ฐ€ ๋‚ฎ์€ ๊ทธ๋ฃน์€ ๋ฃธ ๋ฏธ๋Ÿฌ๋‚˜ ์‚ฌ์ด๋“œ ๋ฏธ๋Ÿฌ๋ฅผ ํ†ตํ•ด ์ฃผ๋ณ€ ์ƒํ™ฉ ์ •๋ณด๋ฅผ ๋” ํ™•์ธ ํ•˜๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์˜€๋‹ค. ๋„ค ๋ฒˆ์งธ ์—ฐ๊ตฌ๋Š” ์ „๋ฉด ์œ ๋ฆฌ์ฐฝ์—์„œ์˜ ์ธํ„ฐ๋ž™ํ‹ฐ๋ธŒ ํ—ค๋“œ์—… ๋””์Šคํ”Œ๋ ˆ์ด์˜ ์ตœ์  ์œ„์น˜๋ฅผ ๊ฒฐ์ •ํ•˜๋Š” ๊ฒƒ์œผ๋กœ์„œ ์ฃผํ–‰ ์‹œ๋ฎฌ๋ ˆ์ดํ„ฐ ์‹คํ—˜์„ ํ†ตํ•ด ๋””์Šคํ”Œ๋ ˆ์ด์˜ ์œ„์น˜์— ๋”ฐ๋ผ ์šด์ „์ž์˜ ์ฃผํ–‰ ์ˆ˜ํ–‰ ๋Šฅ๋ ฅ, ์ธํ„ฐ๋ž™ํ‹ฐ๋ธŒ ๋””์Šคํ”Œ๋ ˆ์ด ์กฐ์ž‘ ๊ด€๋ จ ๊ณผ์—… ์ˆ˜ํ–‰ ๋Šฅ๋ ฅ, ์‹œ๊ฐ์  ์ฃผ์˜ ๋ถ„์‚ฐ, ์„ ํ˜ธ๋„, ๊ทธ๋ฆฌ๊ณ  ์ž‘์—… ๋ถ€ํ•˜๊ฐ€ ํ‰๊ฐ€๋˜์—ˆ๋‹ค. ํ—ค๋“œ์—… ๋””์Šคํ”Œ๋ ˆ์ด์˜ ์œ„์น˜๋Š” ์ „๋ฉด ์œ ๋ฆฌ์ฐฝ์—์„œ ์ผ์ •ํ•œ ๊ฐ„๊ฒฉ์œผ๋กœ ์ด 9๊ฐœ์˜ ์œ„์น˜๊ฐ€ ๊ณ ๋ ค๋˜์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ํ™œ์šฉ๋œ ์ธํ„ฐ๋ž™ํ‹ฐ๋ธŒ ๋””์Šคํ”Œ๋ ˆ์ด๋Š” ์Œ์•… ์„ ํƒ์„ ์œ„ํ•œ ์Šคํฌ๋กค ๋ฐฉ์‹์˜ ๋‹จ์ผ ๋””์Šคํ”Œ๋ ˆ์ด์˜€๊ณ , ์šด์ „๋Œ€์— ์žฅ์ฐฉ๋œ ๋ฒ„ํŠผ์„ ํ†ตํ•ด ๋””์Šคํ”Œ๋ ˆ์ด๋ฅผ ์กฐ์ž‘ํ•˜์˜€๋‹ค. ์‹คํ—˜ ๊ฒฐ๊ณผ, ์ธํ„ฐ๋ž™ํ‹ฐ๋ธŒ ํ—ค๋“œ์—… ๋””์Šคํ”Œ๋ ˆ์ด์˜ ์œ„์น˜๊ฐ€ ๋ชจ๋“  ํ‰๊ฐ€ ์ฒ™๋„, ์ฆ‰ ์ฃผํ–‰ ์ˆ˜ํ–‰ ๋Šฅ๋ ฅ, ๋””์Šคํ”Œ๋ ˆ์ด ์กฐ์ž‘ ๊ณผ์—… ์ˆ˜ํ–‰ ๋Šฅ๋ ฅ, ์‹œ๊ฐ์  ์ฃผ์˜ ๋ถ„์‚ฐ, ์„ ํ˜ธ๋„, ๊ทธ๋ฆฌ๊ณ  ์ž‘์—… ๋ถ€ํ•˜์— ์˜ํ–ฅ์„ ๋ฏธ์นจ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋ชจ๋“  ํ‰๊ฐ€ ์ง€ํ‘œ๋ฅผ ๊ณ ๋ คํ–ˆ์„ ๋•Œ, ์ธํ„ฐ๋ž™ํ‹ฐ๋ธŒ ํ—ค๋“œ์—… ๋””์Šคํ”Œ๋ ˆ์ด์˜ ์œ„์น˜๋Š” ์šด์ „์ž๊ฐ€ ๋˜‘๋ฐ”๋กœ ์ „๋ฐฉ์„ ๋ฐ”๋ผ๋ณผ ๋•Œ์˜ ์‹œ์•ผ ๊ตฌ๊ฐ„, ์ฆ‰ ์ „๋ฉด ์œ ๋ฆฌ์ฐฝ์—์„œ์˜ ์™ผ์ชฝ ์•„๋ž˜ ๋ถ€๊ทผ์ด ๊ฐ€์žฅ ์ตœ์ ์ธ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.Abstract i Contents v List of Tables ix List of Figures x Chapter 1 Introduction 1 1.1 Research Background 1 1.2 Research Objectives and Questions 8 1.3 Structure of the Thesis 11 Chapter 2 Functional Requirements of Automotive Head-Up Displays: A Systematic Review of Literature from 1994 to Present 13 2.1 Introduction 13 2.2 Method 15 2.3 Results 17 2.3.1 Information Types Displayed by Existing Commercial Automotive HUD Systems 17 2.3.2 Information Types Previously Suggested for Automotive HUDs by Research Studies 28 2.3.3 Information Types Required by Drivers (users) for Automotive HUDs and Their Relative Importance 35 2.4 Discussion 39 2.4.1 Information Types Displayed by Existing Commercial Automotive HUD Systems 39 2.4.2 Information Types Previously Suggested for Automotive HUDs by Research Studies 44 2.4.3 Information Types Required by Drivers (users) for Automotive HUDs and Their Relative Importance 48 Chapter 3 A Literature Review on Interface Design of Automotive Head-Up Displays for Communicating Safety-Related Information 50 3.1 Introduction 50 3.2 Method 52 3.3 Results 55 3.3.1 Commercial Automotive HUDs Presenting Safety-Related Information 55 3.3.2 Safety-Related HUDs Proposed by Academic Research 58 3.4 Discussion 74 Chapter 4 Development and Evaluation of Automotive Head-Up Displays for Take-Over Requests (TORs) in Highly Automated Vehicles 78 4.1 Introduction 78 4.2 Method 82 4.2.1 Participants 82 4.2.2 Apparatus 82 4.2.3 Automotive HUD-based TOR Displays 83 4.2.4 Driving Scenario 86 4.2.5 Experimental Design and Procedure 87 4.2.6 Experiment Variables 88 4.2.7 Statistical Analyses 91 4.3 Results 93 4.3.1 Comparison of the Proposed TOR Displays 93 4.3.2 Characteristics of Drivers Initial Trust in the four TOR Displays 102 4.3.3 Relationship between Drivers Initial Trust and Take-over and Visual Behavior 104 4.4 Discussion 113 4.4.1 Comparison of the Proposed TOR Displays 113 4.4.2 Characteristics of Drivers Initial Trust in the four TOR Displays 116 4.4.3 Relationship between Drivers Initial Trust and Take-over and Visual Behavior 117 4.5 Conclusion 119 Chapter 5 Human Factors Evaluation of Display Locations of an Interactive Scrolling List in a Full-windshield Automotive Head-Up Display System 121 5.1 Introduction 121 5.2 Method 122 5.2.1 Participants 122 5.2.2 Apparatus 123 5.2.3 Experimental Tasks and Driving Scenario 123 5.2.4 Experiment Variables 124 5.2.5 Experimental Design and Procedure 126 5.2.6 Statistical Analyses 126 5.3 Results 127 5.4 Discussion 133 5.5 Conclusion 135 Chapter 6 Conclusion 137 6.1 Summary and Implications 137 6.2 Future Research Directions 139 Bibliography 143 Apeendix A. Display Layouts of Some Commercial HUD Systems Appendix B. Safety-related Displays Provided by the Existing Commercial HUD Systems Appendix C. Safety-related HUD displays Proposed by Academic Research ๊ตญ๋ฌธ์ดˆ๋ก 187Docto
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