293 research outputs found

    Extraction of antenna gain from path loss model for in-body communication

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    Our Museum Game:A Collaborative Game for User-Centered Exhibition Design

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    The sensitivity of laboratory tests assessing driving related skills to dose-related impairment of alcohol:A literature review

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    AbstractLaboratory tests assessing driving related skills can be useful as initial screening tools to assess potential drug induced impairment as part of a standardized behavioural assessment. Unfortunately, consensus about which laboratory tests should be included to reliably assess drug induced impairment has not yet been reached. The aim of the present review was to evaluate the sensitivity of laboratory tests to the dose dependent effects of alcohol, as a benchmark, on performance parameters. In total, 179 experimental studies were included. Results show that a cued go/no-go task and a divided attention test with primary tracking and secondary visual search were consistently sensitive to the impairing effects at medium and high blood alcohol concentrations. Driving performance assessed in a simulator was less sensitive to the effects of alcohol as compared to naturalistic, on-the-road driving. In conclusion, replicating results of several potentially useful tests and their predictive validity of actual driving impairment should deserve further research. In addition, driving simulators should be validated and compared head to head to naturalistic driving in order to increase construct validity

    Path loss model for wireless narrowband communication above flat phantom

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    Massive radio channel sounder architecture for 5G mobility scenarios : MaMIMOSA

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    This paper presents a real-time 64 x 16 massive MIMO channel sounder based on space-frequency division multiplexing and antenna subarray switching, giving a large possibility of antenna allocation and frequency tone between 2 and 12 GHz. This channel sounder called Massive MIMOSA or MaMIMOSA belongs to the new generation of software radio design based systems. The architecture of the proposed approach was designed with the highest flexibility thus opening a wide range of applications depending upon the investigated scenarios. Currently, the system is being setup using a massive 10 x 10 antenna array operating around 6 GHz with 80 MHz bandwidth for SG V2X applications. The channel sounder can be powered with vehicle batteries to perform day long measurements when electrical outlets are not available. The output file gives the measured Massive MIMO matrix in a friendly compact binary format. It will be operational in early 2020

    Driving performance and neurocognitive skills of long-term users of sedating antidepressants

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    Objective: To assess driving performance and neurocognitive skills of long‐term users of sedating antidepressants, in comparison to healthy controls. Methods: Thirty‐eight long‐term (>6 months) users of amitriptyline (n = 13) and mirtazapine (n = 25) were compared to 65 healthy controls. Driving performance was assessed using a 1‐h standardised highway driving test in actual traffic, with road‐tracking error (standard deviation of lateral position [SDLP]) being the primary measure. Secondary measures included neurocognitive tasks related to driving. Performance differences between groups were compared to those of blood alcohol concentrations of 0.5 mg/ml to determine clinical relevance. Results: Compared to controls, mean increase in SDLP of all antidepressant users was not significant, nor clinically relevant (+0.75 cm, 95% CI: - 0.83 cm; +2.33 cm). However, users treated less than 3 years (n = 20) did show a significant and clinically relevant increase in SDLP (+2.05 cm). No significant effects were observed on neurocognitive tasks for any user group, although large individual differences were present. Most results from neurocognitive tests were inconclusive, while a few parameters confirmed non‐inferiority for users treated longer than 3 years. Conclusion: The impairing effects of antidepressant treatment on driving performance and neurocognition mitigate over time following long‐term use of 3 years

    The influence of alcohol (0.5‰) on the control and manoeuvring level of driving behaviour, finding measures to assess driving impairment:A simulator study

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    Objective: The influence of psychoactive substances on driving performance and traffic safety has been extensively studied. Research on the influence of alcohol at the control level of behaviour (i.e. automated processes) has been well established and has shown that the ability to operate a vehicle decreases with rising alcohol levels. However, results one level higher at the manoeuvring level (i.e. conscious processes), are inconsistent. The current study aimed to replicate findings on the influence of alcohol on the control level of behaviour and investigate effects on the manoeuvring level in order to find suitable measures to assess driving impairment. Method: The study was double-blind, placebo-controlled with a counterbalanced treatment order and a two-way crossover design. Thirty participants performed tasks in a driving simulator under the influence of alcohol (0.5‰) and a placebo. In the driving tasks the control level of behaviour (swerving, average speed, and speed variation) was investigated, as well as the manoeuvring level of behaviour (distance to other traffic during an overtaking manoeuvre, reaction time to a traffic light turning amber, and response to a suddenly merging car). Results: As expected, alcohol affected the control level of behaviour negatively. Participants swerved more and showed more speed variation after alcohol intake. The manoeuvring level of driving behaviour was also affected by alcohol. The distance to other drivers during an overtaking manoeuvre was smaller under the influence of alcohol. Results on reaction time were however less straightforward. Reaction time increased significantly under the influence of alcohol when reacting to a traffic light but not in reaction to a car unexpectedly merging into traffic. When analysing behaviour in reaction to these different events in more detail it became clear that they were responded to in varying manners, making it difficult to find an average impairment measure. Conclusions: The deteriorating effect of alcohol at the control level of driving behaviour was replicated, confirming the suitability of the standard deviation of lateral position and the variation in speed as measures of impairment. At the manoeuvring level, the kept distance to the leading car during an overtaking manoeuvre appeared to be a suitable measure to assess impairment as well as reaction time to a traffic light. The current study also confirms the difficulties in evaluating complex driving behaviour and the need for more research on this subject

    Developing a coding scheme for detecting usability and fun problems in computer games for young children

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    This article describes the development and assessment of a coding scheme for finding both usability and fun problems through observations of young children playing computer games during user tests. The proposed coding scheme is based on an existing list of breakdown indication types of the detailed video analysis method (DEVAN). This method was developed to detect usability problems in task-based products for adults. However, the new coding scheme for children's computer games takes into account that in games, fun, in addition to usability, is an important factor and that children behave differently from adults. Therefore, the proposed coding scheme uses 8 of the 14 original breakdown indications and has 7 new indications. The article first discusses the development of the new coding scheme. Subsequently, the article describes the reliability assessment of the coding scheme. The any-two agreement measure of 38.5% shows that thresholds for when certain user behavior is worth coding will be different for different evaluators. However, the any-two agreement of .92 for a fixed list of observation points shows that the distinction between the available codes is clear to most evaluators. Finally, a pilot study shows that training can increase any-two agreement considerably by decreasing the number of unique observations, in comparison with the number of agreed upon observations
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