Tool developed as part of the EngD thesis: DaylightGuide - A tool for personalized daylight recommendations for the home office

The DaylightGuide tool (1) asks for input about the user’s home office setup , (2) provides insights in the daylighting conditions in the home office, and (3) presents recommendations for optimizing daylight in the home office. (Day)light metrics that are presented are melanopic Equivalent Daylight Illuminance (m-EDI), Daylight Glare Probability (DGP), spatial Daylight Autonomy (sDA), and Useful Daylight Illuminance (UDI). In the tool, these metrics are referred to as the daylight targets. The tool also provides recommendations for optimizing the daylight targets. The tool is developed for use in The Netherlands. To establish this tool, three steps were taken. First, a questionnaire study was conducted to make an inventory of Dutch home office space characteristics, with a special focus on characteristics that contribute to the indoor daylight distribution. Second, based on these office characteristics, parametric simulation models were developed and annual daylight simulations were conducted using Radiance. The parameters used in the simulations were: the type of window, the orientation of the window, the density of the outside area surrounding the home office, the glazing area of the window, the color of the walls in the home office space, the placement of the window with respect to the occupant, and the distance between the workplace and the window. In specific, simulations were conducted to retrieve m-EDI, DGP, sDA, and UDI values. Third, the simulation results were processed such that the annual data were averaged per month for daytime working hours (i.e., 08.00-18.00). The data were processed to show, for each month of the year, the percentage of work hours during which a certain target was met. This analysis was done for each daylight metric. A user interface was built for the processed simulation data, which is the developed DaylightGuide tool. Through the interface, anyone working (occasionally) from a home office in The Netherlands can gain insight into the daylighting conditions in their home office as well as recommendations on any changes they could make to their home office to optimize the daylight targets

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

Investigation of Dose-Response Relationships for Effects of White Light Exposure on Correlates of Alertness and Executive Control during Regular Daytime Working Hours

To date, it is largely unknown which light settings define the optimum to steer alertness and cognitive control during regular daytime working hours. In the current article, we used a multimeasure approach combined with a relatively large sample size (N = 60) and a large range of intensity levels (20-2000 lux at eye level) to investigate the dose-dependent relationship between light and correlates of alertness and executive control during regular working hours in the morning and afternoon. Each participant was exposed to a single-intensity light level for 1 h after a 30-min baseline phase (100 lux at the eye) in the morning and afternoon (on separate days) during their daily routine. Results revealed no clear dose-dependent relationships between 1-h daytime light exposure and correlates of alertness or executive control. Subjective correlates showed only very modest linear relationships with the log-transformed illuminance, and we found no significant effects of light intensity on the behavioral and physiological indicators. Overall, these results suggest that daytime exposure to more intense light, at least for 1 h of exposure, may not systematically benefit alertness or executive functioning. However, future research is required to investigate effects of longer exposure durations and potential moderations by prior light exposure, personal characteristics, and spectrum

Fluctuations in pedestrian dynamics routing choices

Set of pedestrian trajectories recorded during the GLOW festival in Eindhoven (The Netherlands), between November 9th and 16th 2019. The data has been used in the analysis described in the paper "Fluctuations in pedestrian dynamics routing choices". PNAS Nexus, pgac16

MetTLM 20NRM01 TU/e Dataset: Dependence of Temporal Frequency and Chromaticity on the Visibility of the Phantom Array Effect

The dataset has the following format: 20 (Participants) by 18 (= 3 Chromaticities × 6 Temporal Frequencies) Chromaticities: Red (R); Green (G); Warm White (W) Temporal Frequencies: F1 = 80 Hz; F2 = 300 Hz; F3 = 600 Hz; F4 = 900 Hz; F5 = 1200 Hz; F6 = 1800 Hz. R F1 R F2 R F3 R F4 R F5 R F6 G F1 G F2 G F3 G F4 G F5 G F6 W F1 W F2 W F3 W F4 W F5 W F6 P01 P02 P03 P04 ... P19 P20 Due to the fractional factorial 3 (colour) × 6 (temporal frequency) mixed design, there are some empty cells. The details are described in Table 2 of the publication. The values in the table represent the visibility thresholds in Modulation Depth (MD). For example, the values of 0.05, 0.1, and 1 means a MD of 5%, 10% and 100% respectively

Many Labs 2: Investigating Variation in Replicability Across Samples and Settings

We conducted preregistered replications of 28 classic and contemporary published findings, with protocols that were peer reviewed in advance, to examine variation in effect magnitudes across samples and settings. Each protocol was administered to approximately half of 125 samples that comprised 15,305 participants from 36 countries and territories. Using the conventional criterion of statistical significance (p < .05), we found that 15 (54%) of the replications provided evidence of a statistically significant effect in the same direction as the original finding. With a strict significance criterion (p < .0001), 14 (50%) of the replications still provided such evidence, a reflection of the extremely high-powered design. Seven (25%) of the replications yielded effect sizes larger than the original ones, and 21 (75%) yielded effect sizes smaller than the original ones. The median comparable Cohen’s ds were 0.60 for the original findings and 0.15 for the replications. The effect sizes were small (< 0.20) in 16 of the replications (57%), and 9 effects (32%) were in the direction opposite the direction of the original effect. Across settings, the Q statistic indicated significant heterogeneity in 11 (39%) of the replication effects, and most of those were among the findings with the largest overall effect sizes; only 1 effect that was near zero in the aggregate showed significant heterogeneity according to this measure. Only 1 effect had a tau value greater than .20, an indication of moderate heterogeneity. Eight others had tau values near or slightly above .10, an indication of slight heterogeneity. Moderation tests indicated that very little heterogeneity was attributable to the order in which the tasks were performed or whether the tasks were administered in lab versus online. Exploratory comparisons revealed little heterogeneity between Western, educated, industrialized, rich, and democratic (WEIRD) cultures and less WEIRD cultures (i.e., cultures with relatively high and low WEIRDness scores, respectively). Cumulatively, variability in the observed effect sizes was attributable more to the effect being studied than to the sample or setting in which it was studied