Turning Point Scotland's Housing First Project Evaluation: Final Report

GIS maps are one kind of complex display in which people search for targets. Recent studies have shown that the choice of colour-scales when displaying these maps has important implications for people's strategies in searching these displays (Donnelly, Cave, Welland & Menneer, 2006). The current study follows up on this research. Observers searched for multiple targets in each display. Two targets were red and two were blue, and targets were not very salient. Observers searched until all targets were found. This often took several seconds and many fixations. The order in hich observers found targets suggested that they were more reliant on search for particular colours under some color-scales than under others. What will be presented here is a number of oculomotor measures used to explore how search was guided in the displays: the degree to which fixations clustered around targets, the image characteristics of regions of the display that were fixated, and goodness of fit to fixation distributions of Itti & Koch saliency maps, where the features used to compute saliency were varied. The goal was to see which measures would best pick up on differences in what guided search through complex display

The effects of intensive grazing on nitrogen fixation by white clover

The effects of the grazing animal (treading, defoliation, and excreta) on N2 fixation were investigated in an intensively managed legume-based dairy pasture in the Waikato region, North Island, New Zealand. Two major 12-month field experiments were conducted in a long-term (>30 years) permanent mixed pasture of perennial ryegrass (Lolium perenne L.) and white clover (Trifolium repens L.) to determine the full effect of grazing animals on legume growth and N2 fixation. Each study was commenced in spring ( 1998 and 1999), when pasture was taken out of grazing and the relevant treatments applied in a randomised block design. Subsequently, pasture was defoliated by mowing at regular intervals and the herbage dry matter yield and pasture species composition determined. N2 fixation was estimated using the 15N isotope dilution technique to give an integrated estimate of the proportion of clover N derived from atmospheric N2 (%Ndfa) at each harvest. The first experiment (initiated in October 1998) investigated the effects of urine additions on N2 fixation in pasture managed with light and moderately severe cutting treatments. Urine application (equivalent to 746 kg N ha-1) increased average annual production by 85%, but did not significantly impact on clover production, except in the light cutting treatment at days 50-100. Urine application reduced %Ndfa to 25% of the control (as measured by 15N methods), with recovery taking almost a year, thus reducing total fixed N in clover herbage from 232 to 145 kg N ha-1 yr-1. Four methods of estimating %Ndfa from 15N data were used in the urine treated plots. The use of 15N-labelled urine gave estimates of %Ndfa that were 20-30% below values calculated using conventional 15N-labelling during the first 161 days. These differences were probably due to differences in the rooting depth between ryegrass and white clover in conjunction with treatment differences in 15N distribution with depth. The 15N natural abundance technique gave highly variable estimates of %Ndfa (-56 to 24%) during the first 23 days after urine application, but thereafter estimates of %Ndfa were similar to those using 15N-labelling methods. Defoliation severity had no immediate effect on N2 fixation, but during summer and autumn %Ndfa inmoderately-severe plots was consistently higher than under light defoliation. The greater abundance and productivity of vigorous growing weed and summer-grass species recorded in moderately-severe plots during summer and autumn indicate that these species were probably regulating N2 fixation by changing soil N availability. Overall, total N fixed increased by 36% under moderately-severe defoliation compared to light defoliation. Defoliation severity had no significant effect on clover production. The second major experiment (initiated in September 1999), examined the effects of pugging intensity on pasture growth and N2 fixation. A single pugging event at stocking rates of 4.5 cows 100 m-2 for 1.5 or 2.5 hours on a wet silt loam soil initiated the experiment, and was equivalent to a moderate or severe pugging event in spring. Fixed N in clover herbage decreased significantly from 76 kg N ha-1 yr-1 in the non-pugged control, to 66 kg N ha-1 yr-1 and 36 kg N ha-1 yr-1 under moderate and severe pugging, respectively. The decrease in fixed N was mainly due to treading damage to clover plants and an associated reduction in clover production which persisted for up to 259 days under severe pugging. Detailed clover morphology measurements revealed an increase in stolon fragmentation and a decrease in plant density, which heightened the vulnerability of plants to dry soil conditions following pugging. A medium-term reduction in grass growth under pugging probably led to increased soil inorganic N and would account for an observed decline in %Ndfa that occurred during the first 3-months of the study .Although pugging caused a major disturbance and rearrangement of the soil surface layers this only had a marginal short-term effect on soil physical properties. Soil aeration was reduced for approximately 21 days and did not measurably affect N2 fixation. However, an increase in denitrification during the first 21 days after pugging suggested biological process were affected by the reduction in soil aeration. A conceptual model is proposed to describe the principal processes that affect N2 fixation by grazing animals in intensively managed clover-grass pastures. The use of a whole farm dairying model of N cycling to further investigate animal impacts in legume-based pastures highlighted the need to consider pasture management strategies and interactions between treading, defoliation and excreta. In the future, more complex models specifically dealing with legume-based pasture ecosystems will be needed to integrate detailed animal-plant-soil components and thus assist in identifying how N2 fixing efficiency can be improved

Dual-Target Cost in Visual Search for Multiple Unfamiliar Faces.

The efficiency of visual search for one (single-target) and either of two (dual-target) unfamiliar faces was explored to understand the manifestations of capacity and guidance limitations in face search. The visual similarity of distractor faces to target faces was manipulated using morphing (Experiments 1 and 2) and multidimensional scaling (Experiment 3). A dual-target cost was found in all experiments, evidenced by slower and less accurate search in dual- than single-target conditions. The dual-target cost was unequal across the targets, with performance being maintained on one target and reduced on the other, which we label "preferred" and "non-preferred" respectively. We calculated the capacity for each target face and show reduced capacity for representing the non-preferred target face. However, results show that the capacity for the non-preferred target can be increased when the dual-target condition is conducted after participants complete the single-target conditions. Analyses of eye movements revealed evidence for weak guidance of fixations in single-target search, and when searching for the preferred target in dual-target search. Overall, the experiments show dual-target search for faces is capacity- and guidance-limited, leading to superior search for 1 face over the other in dual-target search. However, learning faces individually may improve capacity with the second face. (PsycINFO Database Recor

Understanding the contribution of target repetition and target expectation to the emergence of the prevalence effect in visual search

Behavior in visual search tasks is influenced by the proportion of trials on which a target is presented (the target prevalence). Previous research has found that when target prevalence is low (2% prevalence), participants tend to miss targets, compared with higher prevalence levels (e.g., 50% prevalence). There is an ongoing debate regarding the relative contribution of target repetition and the expectation that a target will occur in the emergence of prevalence effects. In order to disentangle these two factors, we went beyond previous studies by directly manipulating participants’ expectations regarding how likely a target was to appear on a given trial. This we achieved without using cues or feedback. Our results indicated both target repetition and target expectation contribute to the emergence of the prevalence effect

A cluster analysis approach to sampling domestic properties for sensor deployment

This is the final version. Available on open access from Elsevier via the DOI in this recordData availability: Data will be made available on request.Sensors are an increasingly widespread tool for monitoring utility usage (e.g., electricity) and environmental data (e.g., temperature). In large-scale projects, it is often impractical and sometimes impossible to place sensors at all sites of interest, for example due to limited sensor numbers or access. We test whether cluster analysis can be used to address this problem. We create clusters of potential sensor sites using factors that may influence sensor measurements. The clusters provide groups of sites that are similar to each other, and that differ between groups. Sampling a few sites from each group provides a subset that captures the diversity of sites. We test the approach with two types of sensors: utility usage (gas and water) and outdoor environment. Using a separate analysis for each sensor type, we create clusters using characteristics from up to 298 potential sites. We sample across these clusters to provide representative coverage for sensor installations. We verify the approach using data from the sensors installed as a result of the sampling, as well as using other sensor measures from all available sites over one year. Results show that sensor data vary across clusters, and vary with the factors used to create the clusters, thereby providing evidence that this cluster-based approach captures differences across sensor sites. This novel methodology provides representative sampling across potential sensor sites. It is generalisable to other sensor types and to any situation in which influencing factors at potential sites are known. We also discuss recommendations for future sensor-based large-scale projects.European Regional Development Fund (ERDF)Southwest Academic Health Science NetworkCornwall Counci

We can guide search by a set of colours, but are reluctant to do it.

For some real-world color searches, the target colours are not precisely known, and any item within a range of color values should be attended. This, a target representation that captures multiple similar colours would be advantageous. If such multicolour search is possible, then search for two targets (e..g Stroud, Menneer, Cave and Donnelly, 2012) might be guided by a target representation that included the target colours as well as the continuum of colours that fall between the targets within a contiguous region of color space. Results from Stroud et al (2012) suggest otherwise, however. The current set of experiments show that guidance for a set of colours that are from a single region of color space can be effective if targets are depicted as specific discrete colours. Specifically, Experiments 1-3 demonstrate that a search can be guided by four and even eight colours given the appropriate conditions. However, Experiment 5 gives evidence that guidance is sometimes sensitive to how informative the target preview is to search. Experiments 6 and 7 show that a stimulus showing a continuous range of target colours is not translated into a search target representation. Thus, search can be guided by multiple discrete colours that are from a single region in color space, but this approach was not adopted in a search for two targets with intervening distractor colours

Adding depth to overlapping displays can improve visual search performance

Standard models of visual search have focused upon asking participants to search for a single target in displays where the objects do not overlap one another, and where the objects are presented on a single depth plane. This stands in contrast to many everyday visual searches wherein variations in overlap and depth are the norm, rather than the exception. Here, we addressed whether presenting overlapping objects on different depths planes to one another can improve search performance. Across four different experiments using different stimulus types (opaque polygons, transparent polygons, opaque real-world objects, and transparent X-ray images), we found that depth was primarily beneficial when the displays were transparent, and this benefit arose in terms of an increase in response accuracy. Although the benefit to search performance only appeared in some cases, across all stimulus types, we found evidence of marked shifts in eye-movement behavior. Our results have important implications for current models and theories of visual search, which have not yet provided detailed accounts of the effects that overlap and depth have on guidance and object identification processes. Moreover, our results show that the presence of depth information could aid real-world searches of complex, overlapping displays

Modelling mould growth in domestic environments using relative humidity and temperature

This is the final version. Available from Elsevier via the DOI in this record. Damp and high levels of relative humidity (RH), typically above 70–80%, are known to provide mould-favourable conditions. Exposure to indoor mould contamination has been associated with an increased risk of developing and/or exacerbating a range of allergic and non-allergic diseases. The VTT model is a mathematical model of indoor mould growth that was developed based on surface readings of RH and temperature on wood in a controlled laboratory chamber. The model provides a mould index based on the environmental readings. We test the generalisability of this laboratory-based model to less-controlled domestic environments across different values of model parameters. Mould indices were generated using objective measurements of RH and temperature in the air, taken from sensors in a domestic setting every 3–5 min over 1 year in the living room and bedroom across 219 homes. Mould indices were assessed against self-reports from occupants regarding the presence of visible mould growth and mouldy odour in the home. Logistic regression provided evidence for relationships between mould indices and occupant responses. Mould indices were most successful at predicting occupant responses when the model parameters encouraged higher vulnerability to mould growth compared with the original VTT model. A lower critical RH level, above which mould grows, a higher sensitivity, and larger increases in the mould index all consistently increased performance. Using moment-to-moment time-series data for temperature and RH, the model and its developments could help inform smart monitoring or control of RH, for example to counter risks associated with reduced ventilation in energy efficient homes.European Regional Development Fund (ERDF)European Regional Development Fund (ERDF

The FVF framework and target prevalence effects

The Functional Visual Field (FVF) offers explanatory power. To us, it relates to existing literature on the flexibility of attentional focus in visual search and reading (Eriksen & St. James, 1986; McConkie & Rayner, 1975). The target article promotes reflection on existing findings. Here we consider the FVF as a mechanism in the Prevalence Effect in visual search (PE)

Variations in whole-life carbon emissions of similar buildings in proximity: An analysis of 145 residential properties in Cornwall, UK

This is the final version. Available on open access from Elsevier via the DOI in this recordData availability: Data will be made available on request.Assessing and reducing the whole-life carbon emissions (WLCE) of buildings is essential to achieving global climate targets. Although many studies have examined building WLCE, there is a lack of understanding of the variability of WLCE for a large number of similar buildings in proximity and the key influencing factors. We fill these knowledge gaps by quantifying the WLCE of 145 residential properties in Cornwall, UK, following methods recommended in official standards and guidelines for building WLCE and using actual electricity consumption recorded by sensors, and then analysing correlations between the WLCE and a range of factors related to the properties and their occupants. We found significant variations in the WLCE among these 145 properties, ranging from 21 to 193 t CO2eq, with the WLCE intensity ranging from 0.5 to 2.6 t CO2eq/m2. There are strong correlations between WLCE and two factors: floor area and number of occupants, followed by number of bedrooms, type of property, window frame material, type of heating system, age of the main occupant, type of glazing, and loft insulation thickness. This suggests that both building attributes and occupant characteristics can result in significant variations in the WLCE of similar buildings in proximity. Therefore, both building design and occupant lifestyle need to be considered when developing strategies to reduce building WLCE.China Scholarship CouncilUniversity of ExeterSmartline projectSmartline Extension projectEuropean Regional Development Fund (ERDF