Proceedings : AutomotiveUI 2014 : 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications : September 17-19, 2014, Seattle, Washington, USA. International Conference on Automotive User Interface...最新文献
{"title":"ADAS HMI using peripheral vision","authors":"Sabine Langlois","doi":"10.1145/2516540.2516558","DOIUrl":"https://doi.org/10.1145/2516540.2516558","url":null,"abstract":"We propose to enhance utility of Advance Driver Assistance Systems (ADAS) with an interface that creates luminous signals able to be handled by peripheral vision while driving. The system, called Lighting Peripheral Display (LPD), consists of a box illuminated by LEDs whose light is reflected onto the windscreen. The shapes of the box are designed so that reflections can easily match the problems signaled by the ADAS. Surface, colors and movements are modulated to graduate urgency and to discriminate between the different assistance systems.\u0000 A user test has been done on a driving simulator to compare a cluster with and without LPD. Both subjective and objective data (oculometry, vehicle parameters) were collected. They show that driving performance and comfort are enhanced by LPD. Reaction time is reduced for the most frequent warnings; perceived utility of ADAS is increased. However, driver's eyes tend to look at LPD instead of the cluster; peripheral vision utilization is thus not validated but, as ocular path is smaller with LPD, it helps the driver to keep his vision on the road.","PeriodicalId":90949,"journal":{"name":"Proceedings : AutomotiveUI 2014 : 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications : September 17-19, 2014, Seattle, Washington, USA. International Conference on Automotive User Interface...","volume":"17 1","pages":"74-81"},"PeriodicalIF":0.0,"publicationDate":"2013-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76957320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The effect of cognitive load on adaptation to differences in steering wheel force feedback level","authors":"S. Anand, J. Terken, J. Hogema","doi":"10.1145/2516540.2516552","DOIUrl":"https://doi.org/10.1145/2516540.2516552","url":null,"abstract":"In an earlier study it was found that drivers can adjust quickly to different force feedback levels on the steering wheel, even for such extreme levels as zero feedback. It was hypothesized that, due to lack of cognitive load, participants could easily and quickly learn how to deal with extreme force feedback settings by giving more effort. The study presented in this paper tested this hypothesis by increasing cognitive load by means of an N-back secondary task with the experimental conditions used in the earlier study. The secondary task was performed simultaneously while driving a simulated vehicle with six different force feedback levels provided on the steering wheel. Driving performance was measured using standard metrics such as standard deviation of lateral position, standard deviation of steering wheel angle, steering wheel reversal rate and mean driving speed. It was found that addition of the secondary task affected driving performance for the six different force feedback levels to an equal extent and did not differentially affect performance for the extreme levels of force feedback. Thus, the results do not provide support for the proposed hypothesis.","PeriodicalId":90949,"journal":{"name":"Proceedings : AutomotiveUI 2014 : 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications : September 17-19, 2014, Seattle, Washington, USA. International Conference on Automotive User Interface...","volume":"59 1","pages":"158-164"},"PeriodicalIF":0.0,"publicationDate":"2013-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73580241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Anticipatory driving competence: motivation, definition & modeling","authors":"P. Stahl, Birsen Donmez, G. Jamieson","doi":"10.1145/2516540.2516579","DOIUrl":"https://doi.org/10.1145/2516540.2516579","url":null,"abstract":"Anticipation of future events is recognized to be a significant element of driver competence. Surely, guiding one's behavior through the anticipation of future traffic states provides potential gains in recognition and reaction times. However, the role of anticipation in driving and ways to support it have not been systematically studied. In this paper, we identify the characteristics of anticipatory driving and provide a working definition. In particular, we distinguish it from overall driving goals such as eco or defensive driving, but rather present it as a high-level competence for efficient positioning of the vehicle to ultimately facilitate these goals. We also argue that anticipation occurs within the context of stereotypical scenarios and provide an initial taxonomy for the identification of such scenarios. We suggest the Decision Ladder as a useful way of modeling anticipatory driving and finally discuss a potential approach for the facilitation of anticipatory driving through skill- and rule-based behavior, which can allow for shortcuts on the Decision Ladder.","PeriodicalId":90949,"journal":{"name":"Proceedings : AutomotiveUI 2014 : 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications : September 17-19, 2014, Seattle, Washington, USA. International Conference on Automotive User Interface...","volume":"17 1","pages":"286-291"},"PeriodicalIF":0.0,"publicationDate":"2013-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75632510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A left-turn driving aid using projected oncoming vehicle paths with augmented reality","authors":"Cuong Tran, Karlin Bark, V. Ng-Thow-Hing","doi":"10.1145/2516540.2516581","DOIUrl":"https://doi.org/10.1145/2516540.2516581","url":null,"abstract":"Making left turns across oncoming traffic without a protected left-turn signal is a significant safety concern at intersections. In a left turn situation, the driver typically does not have the right of way and must determine when to initiate the turn maneuver safely. It has been reported that a driver's inability to correctly judge the velocity and time gap of the oncoming vehicles is a major cause of left turn crashes. Although the position and velocity of surrounding vehicles is available using camera and laser based vehicle detection and tracking, methods on how to effectively communicate such information to help the driver have been relatively under-explored. In this paper, we describe a left turn aid that displays a 3 second projected path of the oncoming vehicle in the driver's environment with a 3D Head-Up Display (3D-HUD). Utilizing the abilities of our 3D-HUD to show the projected path in Augmented Reality (AR) could help increase driver intuition and alleviate visual distraction as compared to other possible non-AR solutions. Through an iterative process utilizing early user feedback, the design of the left turn aid was refined to interfere less with the driver view and be more effective. A pilot study has been designed for a driving simulation environment and can be used to evaluate the potential of the proposed AR left turn aid in helping the driver be more cautious or efficient when turning left.","PeriodicalId":90949,"journal":{"name":"Proceedings : AutomotiveUI 2014 : 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications : September 17-19, 2014, Seattle, Washington, USA. International Conference on Automotive User Interface...","volume":"1 2","pages":"300-307"},"PeriodicalIF":0.0,"publicationDate":"2013-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91405162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alexander Meschtscherjakov, David Wilfinger, Sebastian Osswald, Nicole Perterer, M. Tscheligi
{"title":"Trip experience sampling: assessing driver experience in the field","authors":"Alexander Meschtscherjakov, David Wilfinger, Sebastian Osswald, Nicole Perterer, M. Tscheligi","doi":"10.1145/2390256.2390294","DOIUrl":"https://doi.org/10.1145/2390256.2390294","url":null,"abstract":"This paper introduces Trip Experience Sampling (TES)---a low-tech method to gather driver experiences in the car. It builds upon the original paper-and-pencil based experience sampling method and applies it to the automotive context. TES uses driver logbooks to survey user experience at the end of a trip while still sitting in the car. To proof the feasibility of TES we collected 475 trip experience samples from 20 participants in a field study. Our study showed that TES is a feasible and successful method to conduct user experience research in the car without distracting the driver. TES is a successful method in terms of return rate, trip diversity, data quality and subjective participants' responses. The strengths of the method lie in the entire abandonment of technology making it a quantifiable field method, which is easy to conduct.","PeriodicalId":90949,"journal":{"name":"Proceedings : AutomotiveUI 2014 : 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications : September 17-19, 2014, Seattle, Washington, USA. International Conference on Automotive User Interface...","volume":"1 1","pages":"225-232"},"PeriodicalIF":0.0,"publicationDate":"2012-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77274222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hand gesture-based visual user interface for infotainment","authors":"Eshed Ohn-Bar, Cuong Tran, M. Trivedi","doi":"10.1145/2390256.2390274","DOIUrl":"https://doi.org/10.1145/2390256.2390274","url":null,"abstract":"We present a real-time vision-based system that discriminates hand gestures performed by in-vehicle front-row seat occupants for accessing the infotainment system. The hand gesture-based visual user interface may be more natural and intuitive to the user than the current tactile interaction interface. Consequently, it may encourage a gaze-free interaction, which can alleviate driver distraction without limiting the user's infotainment experience. The system uses visible and depth images of the dashboard and center-console area in the vehicle. The first step in the algorithm uses the representation of the image area given by a modified histogram-of-oriented-gradients descriptor and a support vector machine (SVM) to classify whether the driver, passenger, or no one is interacting with the region of interest. The second step extracts gesture characteristics from temporal dynamics of the features derived in the initial step, which are then inputted to a SVM in order to perform gesture classification from a set of six classes of hand gestures. The rate of correct user classification into one of the three classes is 97.9% on average. Average hand gesture classification rates for the driver and passenger using color and depth input are above 94%. These rates were achieved on in-vehicle collected data over varying illumination conditions and human subjects. This approach demonstrates the feasibility of the hand gesture-based in-vehicle visual user interface.","PeriodicalId":90949,"journal":{"name":"Proceedings : AutomotiveUI 2014 : 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications : September 17-19, 2014, Seattle, Washington, USA. International Conference on Automotive User Interface...","volume":"124 1","pages":"111-115"},"PeriodicalIF":0.0,"publicationDate":"2012-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79793309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sebastian Osswald, D. Wurhofer, Sandra Trösterer, Elke Beck, M. Tscheligi
{"title":"Predicting information technology usage in the car: towards a car technology acceptance model","authors":"Sebastian Osswald, D. Wurhofer, Sandra Trösterer, Elke Beck, M. Tscheligi","doi":"10.1145/2390256.2390264","DOIUrl":"https://doi.org/10.1145/2390256.2390264","url":null,"abstract":"This paper is aimed at studying information technology acceptance in an automotive context. Most models of technology acceptance focus on barriers of successful information technology implementation in organizations, while factors that take the contextual situation into account are neglected. We address this issue through deriving context-related determinants from an extensive literature review and a content analysis, and we further describe a technology acceptance modeling process to provide an explanation for drivers' acceptance of in-car technology. Based on our evaluation we take the determinants safety and anxiety into consideration, and propose a theoretical car technology acceptance model (CTAM) by incorporating these determinants into the Unified Theory of Acceptance and Use of Technology (UTAUT) model. Our modeling approach and proposed questionnaire support decision processes regarding in-vehicle information system implementation in the automotive industry as well as behavior prediction for research purposes.","PeriodicalId":90949,"journal":{"name":"Proceedings : AutomotiveUI 2014 : 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications : September 17-19, 2014, Seattle, Washington, USA. International Conference on Automotive User Interface...","volume":"48 1","pages":"51-58"},"PeriodicalIF":0.0,"publicationDate":"2012-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79296510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of an automotive user interface design knowledge system","authors":"Hao Tan, Yi Zhu, Jianghong Zhao","doi":"10.1145/2390256.2390291","DOIUrl":"https://doi.org/10.1145/2390256.2390291","url":null,"abstract":"Design knowledge plays a key role in the design of a good automotive user interface. In this paper, we propose a qualitative field study and design approach to develop a design knowledge system for automotive user interface. The methods used are based on contextual design and similar concepts from the area of User Centered Design (UCD). Using the data from field study and design as the knowledge content, we developed a web-based design knowledge system: Transportation User Interface Design Knowledge System (TUI) that consists of user, design, and scenario modules. Designers and engineers can use the system to identify drivers' needs, generate design ideas, and help them enhance the automotive user interface. The system has been adopted in one automotive design firm in China, and one actual interface has been designed with the help of the system. The success of the adoption of the system is also discussed in this paper.","PeriodicalId":90949,"journal":{"name":"Proceedings : AutomotiveUI 2014 : 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications : September 17-19, 2014, Seattle, Washington, USA. International Conference on Automotive User Interface...","volume":"47 1","pages":"201-208"},"PeriodicalIF":0.0,"publicationDate":"2012-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85152923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
U. Trutschel, M. Golz, C. Heinze, D. Sommer, Bill Sirois, D. Edwards
{"title":"Heart rate measures reflect the interaction of low mental workload and fatigue during driving simulation","authors":"U. Trutschel, M. Golz, C. Heinze, D. Sommer, Bill Sirois, D. Edwards","doi":"10.1145/2390256.2390299","DOIUrl":"https://doi.org/10.1145/2390256.2390299","url":null,"abstract":"The objective of this study was to assess the monotonic mental workload under changing conditions of operator fatigue during a night time driver simulation study. Several cardiovascular measures were used in order to differentiate between driving and a continuous tracking task. From all of the standard cardiovascular measures, heart rate in beats per minute emerged as the most sensitive for workload discrimination. Heart rate was higher during driving than during the tracking task, pointing to a slightly higher demanding workload for the driving task. This result was stable over the course of the night and showed only a minimal fatigue influence. Heart rate variability in milliseconds, on the other hand, was on average higher for the continuous tracking task in comparison to the driving. This was especially the case for the sessions with high subjective sleepiness. It can thus be concluded that the fatigue state of the operator was more impaired during the tracking task than during driving.","PeriodicalId":90949,"journal":{"name":"Proceedings : AutomotiveUI 2014 : 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications : September 17-19, 2014, Seattle, Washington, USA. International Conference on Automotive User Interface...","volume":"3 1","pages":"261-264"},"PeriodicalIF":0.0,"publicationDate":"2012-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79964955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring the effects of size and luminance of visual targets on the pupillary light reflex","authors":"A. Kun, Oskar Palinko, Ivan Razumenic","doi":"10.1145/2390256.2390287","DOIUrl":"https://doi.org/10.1145/2390256.2390287","url":null,"abstract":"In driving simulator studies pupil diameter is often employed as a physiological measure of cognitive load. However, pupil size is primarily influenced by the pupillary light reflex (PLR). In this paper, we explore the influence of the size and luminance of visual targets on the PLR. Our results indicate that even for small targets (angular radius of 2.5°) changes in luminance can result in PLR that can obscure cognitive load-related pupil diameter changes. We propose a weighting function to be used to predict the PLR and present initial results that support its utility.","PeriodicalId":90949,"journal":{"name":"Proceedings : AutomotiveUI 2014 : 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications : September 17-19, 2014, Seattle, Washington, USA. International Conference on Automotive User Interface...","volume":"6 1","pages":"183-186"},"PeriodicalIF":0.0,"publicationDate":"2012-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79722595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}