Smart Home IoT Scenarios

We release our dataset to support and encourage further research on crowd-created IoT scenarios. Data set contains 306 IoT scenarios containing more than 20 attributes that were carefully extracted by analyzing each IoT scenario in detail by two author

OOCSI

OOCSI is a prototyping middleware for designing distributed products and it is targeted mainly at Industrial Design and Computer Science education. OOCSI supports multiple client platforms that allow prototyping connected products and systemic designs with various heterogeneous components from embedded to mobile to the cloud. In the past years, OOCSI has been used by hundreds of students, educators, and researchers, and it is continuously developed as an open-source project with feedback from the community

Fabrication files and documentation about the Embroidered Inflatables Sample Series

This dataset is a compilation of files related to the Embroidered Inflatable samples. The Embroidery Inflatables were created throug a material-driven process that aimed to explore the implications of using digital machine embroidery to create soft actuators for wearable or other textile-based applications. These inflatables are created through the combination of embroidery and silicone casting. The embroidery defines the shape and behavior of the inflatables, removing the complexity from the mold and casting process, and increasing the design possibilities. The methods of fabrication described can also support a robust integration of soft electronics and the actuators into textiles through a single fabrication process (embroidery). In this dataset, you can find the documentation of the design process (including techninal specifications and fabrication method for each sample) and the embroidery files (.pes) of the samples. You can use these to reproduce or, better yet, design new interactive materials and soft interfaces based on digital machine embroidery

Supplementary data for the paper 'Predicting perceived risk of traffic scenes using computer vision'

Perceived risk, or subjective risk, is an important concept in the field of traffic psychology and automated driving. In this paper, we investigate whether perceived risk in images of traffic scenes can be predicted from computer vision features that may also be used by automated vehicles (AVs). We conducted an international crowdsourcing study with 1378 participants, who rated the perceived risk of 100 randomly selected dashcam images on German roads. The population-level perceived risk was found to be statistically reliable, with a split-half reliability of 0.98. We used linear regression analysis to predict (r = 0.62) perceived risk from two features obtained with the YOLOv4 computer vision algorithm: the number of people in the scene and the mean size of the bounding boxes surrounding other road users. When the ego-vehicle’s speed was added as a predictor variable, the prediction strength increased to r = 0.75. Interestingly, the sign of the speed prediction was negative, indicating that a higher vehicle speed was associated with a lower perceived risk. This finding aligns with the principle of self-explaining roads. Our results suggest that computer-vision features and vehicle speed contribute to an accurate prediction of population subjective risk, outperforming the ratings provided by individual participants (mean r = 0.41). These findings may have implications for AV development and the modeling of psychological constructs in traffic psychology

Audio Files - Driving simulator soundscapes

To prevent drivers from taking over control in the vehicle from an autopilot when there is no need to do so, the degradation of experience may need to be compensated for. One way to do so maybe by offering proper soundscapes. A study was conducted in a driving simulator, in which the influence of two different soundscapes on the driving experience was investigated, one giving a more thrilling experience, the other giving a more relaxing experience

Supplementary data for the paper 'Get out of the way! Examining eHMIs in critical driver-pedestrian encounters in a coupled simulator'

Past research suggests that displays on the exterior of the car, known as eHMIs, can be effective in helping pedestrians to make safe crossing decisions. This study examines a new application of eHMIs, namely the provision of directional information in scenarios where the pedestrian is almost hit by a car. In an experiment using a head-mounted display and a motion suit, participants had to cross the road while a car driven by another participant approached them. The results showed that the directional eHMI caused pedestrians to step back compared to no eHMI. The eHMI increased the pedestrians’ self-reported understanding of the car’s intention, although some pedestrians did not notice the eHMI. In conclusion, there may be potential for supporting pedestrians in situations where they need support the most, namely critical encounters. Future research may consider coupling a directional eHMI to autonomous emergency steering

Conceptions of sleep experience: a layman perspective

Objective To date, there is little information on how lay people understand and discuss sleep in the context of daily life. Efforts to conceptualize sleep quality have been largely driven by clinical considerations of sleep disorders. As such, they are not necessarily of how normal sleepers without clinical expertise conceptualize sleep quality. A phenomenological approach was taken to understand the essence of the sleep experience and the concepts held by lay people without sleep disorders. A sentence completion questionnaire was developed and administered to a quota sample of 64 respondents who were selected aiming for sufficient representation of different gender, ages, and education levels. Results Significant sentences and meaningful units were derived inductively, resulting in a classification of nine categories. The major facets of sleep experience of lay people were ‘daytime functioning’, ‘interruptions during the night’ and ‘before bed state’. This implies that the experienced sleep quality is not only depending on the progress of the night. These results can guide future research to provide suitable psychometric measures for normal sleepers, as well as the design of sleep data visualization applications in the context of health self-monitoring

Intrauterine resuscitation during the second stage of term labour by maternal hyperoxygenation versus conventional care: study protocol for a randomised controlled trial (INTEREST O2)

Abstract Background Perinatal asphyxia is, even in developed countries, one the major causes of neonatal morbidity and mortality. Therefore, if foetal distress during labour is suspected, one should try to restore foetal oxygen levels or aim for immediate delivery. However, studies on the effect of intrauterine resuscitation during labour are scarce. We designed a randomised controlled trial to investigate the effect of maternal hyperoxygenation on the foetal condition. In this study, maternal hyperoxygenation is induced for the treatment of foetal distress during the second stage of term labour. Methods/design This study is a single-centre randomised controlled trial being performed in a tertiary hospital in The Netherlands. From among cases of a suboptimal or abnormal foetal heart rate pattern during the second stage of term labour, a total of 116 patients will be randomised to the control group, where normal care is provided, or to the intervention group, where before normal care 100% oxygen is supplied to the mother by a non-rebreathing mask until delivery. The primary outcome is change in foetal heart rate pattern. Secondary outcomes are Apgar score, mode of delivery, admission to the neonatal intensive care unit and maternal side effects. In addition, blood gas values and malondialdehyde are determined in umbilical cord blood. Discussion This study will be the first randomised controlled trial to investigate the effect of maternal hyperoxygenation for foetal distress during labour. This intervention should be recommended only as a treatment for intrapartum foetal distress, when improvement of the foetal condition is likely and outweighs maternal and neonatal side effects. Trial registration EudraCT, 2015-001654-15; registered on 3 April 2015. Dutch Trial Register, NTR5461; registered on 20 October 2015

Self-initiations in young children with autism during Pivotal Response Treatment with and without robot assistance

The aim of this study was to investigate the effect of Pivotal Response Treatment versus robot-assisted Pivotal Response Treatment on self-initiations of children with autism spectrum disorder and to explore the relation between self-initiations and collateral gains in general social-communicative skills. Forty-four participants with autism spectrum disorder aged 3–8 years (Pivotal Response Treatment: n = 20, Pivotal Response Treatment + robot: n = 24), who were recruited as part of a larger randomized controlled trial (number NL4487/NTR4712, https://www.trialregister.nl/trial/4487), were included. Self-initiations were blindly coded, assessing video probes of all parent–child sessions using an event-recording system. General social-communicative skills were assessed with the parent- and teacher-rated Social Responsiveness Scale during intervention and at 3-month follow-up. Results using linear mixed-effects models showed overall gains in self-initiations during both Pivotal Response Treatment intervention groups (estimate = 0.43(0.15), 95% confidence interval (CI): 0.13–0.73), with larger gains in functional self-initiations in children receiving robot-assisted Pivotal Response Treatment (estimate = −0.27(0.12), 95% confidence interval: −0.50 to −0.04). Growth in self-initiations was related to higher parent-rated social awareness at follow-up compared with baseline in the total sample (r = −0.44, p = 0.011). The clinical implications of these findings, as well as directions for future research in the utility of Pivotal Response Treatment and robot assistance in autism spectrum disorder intervention, are discussed.Lay abstractThe initiation of social interaction is often defined as a core deficit of autism spectrum disorder. Optimizing these self-initiations is therefore a key component of Pivotal Response Treatment, an established intervention for children with autism spectrum disorder. However, little is known about the development of self-initiations during intervention and whether this development can be facilitated by robot assistance within Pivotal Response Treatment. The aim of this study was to (1) investigate the effect of Pivotal Response Treatment and robot-assisted Pivotal Response Treatment on self-initiations (functional and social) of young children with autism spectrum disorder over the course of intervention and (2) explore the relation between development in self-initiations and additional gains in general social-communicative skills. Forty-four children with autism spectrum disorder (aged 3–8 years) were included in this study. Self-initiations were assessed during parent–child interaction videos of therapy sessions and coded by raters who did not know which treatment (Pivotal Response Treatment or robot-assisted Pivotal Response Treatment) the child received. General social-communicative skills were assessed before start of the treatment, after 10 and 20 weeks of intervention and 3 months after the treatment was finalized. Results showed that self-initiations increased in both treatment groups, with the largest improvements in functional self-initiations in the group that received robot-assisted Pivotal Response Treatment. Increased self-initiations were related to higher parent-rated social awareness 3 months after finalizing the treatment