1,720,957 research outputs found
Improvement of Driving Simulator Eye Tracking Software
No full textThis work focuses on improving the eye tracking analysis tools used with the HumanFIRST driving simulator. Eye tracking is an important tool for simulation-based studies. It allows researchers to understand where participants are focusing their visual attention while driving. The eye tracking system provides a nearly continuous record of the direction in which the driver is looking with respect to real-world coordinates. However, this by itself does not give any information about the objects at which the driver is looking. To determine when a driver is fixated on a given element in the simulated world (e.g., a vehicle or sign), additional processing is necessary. Current methods to process this data are time and resource intensive, requiring a researcher to manually review the eye tracking data. This motivates an automated solution that can automatically and programmatically combine eye tracking and simulator data to determine at which object(s) (either in the real world or the simulated world) the driver is looking. This was accomplished by developing and implementing software capable of providing useful eye tracking data to researchers without requiring time and resource intensive human intervention and hand coding of data. The data generated by the analysis software was designed to provide a set of summary statistics and metrics that will be useful across different simulation studies. Additionally, visualization software was created to allow researchers to view key simulator and eye tracking data for context or insight or to identify and characterize anomalies in the analysis software. Overall, the software implemented will increase the efficiency with which eye tracking data can be used alongside simulator data.Davis, Brian; Morris, Nichole L.; Achtemeier, Jacob D.; Easterlund, Peter. (2019). Improvement of Driving Simulator Eye Tracking Software. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/203634
Examining Optimal Sight Distances at Rural Intersections
Full text linkDecisions made regarding driver sight distance at rural intersections are complex and require considerations for safety, efficiency, and environmental factors. Sight distance, cross-traffic velocity, and vehicle placements significantly affect driver judgment and behavior atthese intersections. A series of rural, two-lane thru-STOP simulated intersections with differing sight distances and traffic speeds were created and then validated by county and state engineers. Experimental data from 36 participants in a time-to-collision (TTC) intersection crossing judgment task and a rural highway thru-STOP intersection driving simulation task was analyzed to clarify the influence of rural thru-STOP intersection characteristics on driving performance and decision-making. Results demonstrated that longer sight distances of1,000 ft. and slower crossing speeds (i.e., 55 mph) were more accommodating for participants attempting to select gaps and cross from the minor road, corresponding with (1) lower mental workload, perceived risk, difficulty, and anxiousness, and (2) better performance in terms of estimated crash rate, and larger TTCs. Second, longer distances of 1,000 ft. appear to aid drivers’ responsiveness on the main road approaching an intersection, specifically when another driver on the minor road runs the stop sign. Minor road drivers positioned close tothe roadway at the stop sign, compared to standard stop bar placement, tended to help reduce the speed of main road drivers. Overall,results demonstrated a systematic improvement in the performance of both minor and major road drivers with the implementation of a1,000-foot sight distance at rural thru-STOP intersections.Morris, Nichole L.; Craig, Curtis M.; Achtemeier, Jacob D.. (2019). Examining Optimal Sight Distances at Rural Intersections. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/208697
In-Vehicle Dynamic Curve-Speed Warnings at High-Risk Rural Curves
Full text linkLane-departure crashes at horizontal curves represent a significant portion of fatal crashes on rural Minnesota roads. Because of this, solutions are needed to aid drivers in identifying upcoming curves and inform them of a safe speed at which they should navigate the curve. One method for achieving this that avoids costly infrastructure-based methods is to use in-vehicle technology to display dynamic curve-speed warnings to the driver. Such a system would consist of a device located in the vehicle capable of providing a visual and auditory warning to the driver when approaching a potentially hazardous curve at an unsafe speed. This project seeks to determine the feasibility of in-vehicle dynamic curve-speed warnings as deployed on a smartphone app. The system was designed to maximize safety and efficacy to ensure that system warnings are appropriate, timely, and non-distracting to the driver. The developed system was designed and implemented based on the results of a literature survey and a usability study. The developed system was evaluated by 24 Minnesota drivers in a controlled pilot study at the Minnesota Highway Safety and Research Center in St. Cloud, Minnesota. The results of the pilot study showed that, overall, the pilot study participants liked the system and found it useful. Analysis of quantitative driver behavior metrics showed that when receiving appropriately placed warnings, drivers navigated horizontal curves 8-10% slower than when not using the system. These findings show that such a curve-speed warning system would be useful, effective, and safe for Minnesota drivers.Davis, Brian; Morris, Nichole L.; Achtemeier, Jacob D.; Patzer, Brady. (2018). In-Vehicle Dynamic Curve-Speed Warnings at High-Risk Rural Curves. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/197461
Computerized Crash Reports Usability and Design Investigation
No full textElectronic crash reports are advantageous because they can limit missing data, transcription errors, and the space limitations of a single sheet of paper. Advancing electronic reports through user-centered design affords an opportunity to improve law enforcement officer’s (LEOs) ability to accurately, timely, and efficiently document crashes. Minnesota’s commencement of a new crash records database offered a unique opportunity for a redesign of its electronic crash report to best support LEOs. A well-designed electronic report will not only support LEOs in the line of duty but will also lead to more useful, complete, and accurate data for various state and federal agencies for analysis and policy decision making. The objectives of this project were to: 1) improve crash data reliability and validity, 2) develop a framework crash report interface based on human factors principles and usability requirements, and 3) reduce the mental workload and required steps for users. Project tasks included: heuristic and hierarchical task analysis, cognitive walkthroughs, validity and reliability testing, interviews, beta testing, and usability testing. The human factors principles and user-centric approach lead the iterative design process to produce a product with high levels of usability and intuitiveness. The project featured a cooperative approach among university researchers, state agencies, and a private developer to ensure that the knowledge, design, and results of the research effort was fully transferred into the final product. The resulting interfaces preliminarily suggest improved user satisfaction, along with data completeness and accuracy, and provide a resource for replication in multiple domains.Morris, Nichole L.; Achtemeier, Jacob D.; Ton, Alice; Plummer, John Paul; Sykes, Jennifer. (2016). Computerized Crash Reports Usability and Design Investigation. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/182433
HumanFIRST Driving Simulation Educational Development
No full textThe HumanFIRST Laboratory was recently awarded a grant through the University of Minnesota Office of the Vice President for Research tomatch funds to completely overhaul the laboratory’s driving simulators. This upgrade, which includes large touchscreen displays in theimmersive simulators’ cockpit, will allow the laboratory to conduct innovative research in the fields of connected vehicles, in-vehicle technologies, and automated vehicles. In addition, the visibility of the laboratory’s increased capabilities is expected to boost an alreadyfrequent demand for educational and training partnerships (particularly around high-risk behaviors, such as distraction and speeding) fromboth government and private groups. In addition to the value in education and dissemination of knowledge regarding roadway safety tothe greater community through demonstrations using the simulator, these partnerships often foster future opportunities for research partnerships and funding. Legacy driving scenarios will be updated to new simulator specifications. The creation of this new content is expected to allow new funding opportunities and will facilitate the research team to share its knowledge through educational and training opportunities within the regional community. This research leveraged the investment in the new simulator and propel the laboratory’s capabilities through the creation of three distinct simulated demonstrations focused on controlled hand-offs with automated vehicles,distracted driving via non-driving-related in-vehicle technologies, and speeding in pedestrian populated areas. These topics are keyresearch focus areas for the Roadway Safety Institute and are core focus areas for the HumanFIRST Laboratory and its funding stakeholders.Morris, Nichole L.; Craig, Curtis M.; Achtemeier, Jacob D.; Easterlund, Peter. (2019). HumanFIRST Driving Simulation Educational Development. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/203196
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
- …
