Visualisation techniques, human perception and the built environment

Historically, architecture has a wealth of visualisation techniques that have evolved throughout the period of structural design, with Virtual Reality (VR) being a relatively recent addition to the toolbox. To date the effectiveness of VR has been demonstrated from conceptualisation through to final stages and maintenance, however, its full potential has yet to be realised (Bouchlaghem et al, 2005). According to Dewey (1934), perceptual integration was predicted to be transformational; as the observer would be able to ‘engage’ with the virtual environment. However, environmental representations are predominately focused on the area of vision, regardless of evidence stating that the experience is multi sensory. In addition, there is a marked lack of research exploring the complex interaction of environmental design and the user, such as the role of attention or conceptual interpretation. This paper identifies the potential of VR models to aid communication for the Built Environment with specific reference to human perception issues

Prevalence and patterns of higher-order drug interactions in Escherichia coli.

Interactions and emergent processes are essential for research on complex systems involving many components. Most studies focus solely on pairwise interactions and ignore higher-order interactions among three or more components. To gain deeper insights into higher-order interactions and complex environments, we study antibiotic combinations applied to pathogenic Escherichia coli and obtain unprecedented amounts of detailed data (251 two-drug combinations, 1512 three-drug combinations, 5670 four-drug combinations, and 13608 five-drug combinations). Directly opposite to previous assumptions and reports, we find higher-order interactions increase in frequency with the number of drugs in the bacteria's environment. Specifically, as more drugs are added, we observe an elevated frequency of net synergy (effect greater than expected based on independent individual effects) and also increased instances of emergent antagonism (effect less than expected based on lower-order interaction effects). These findings have implications for the potential efficacy of drug combinations and are crucial for better navigating problems associated with the combinatorial complexity of multi-component systems

Diagrams in Essays: Exploring the Kinds of Diagrams Students Generate and How Well They Work

Part of the Lecture Notes in Computer Science book series (LNAI, volume 12909)12th International Conference, Diagrams 2021, Virtual, September 28–30, 2021, ProceedingsUsing appropriate diagrams is generally considered efficacious in communication. However, although diagrams are extensively used in printed and digital media, people in general rarely construct diagrams to use in common everyday communication. Furthermore, instruction on diagram use for communicative purposes is uncommon in formal education and, when students are required to communicate what they have learned, the usual expectation is they will use words --not diagrams. Requiring diagram inclusion in essays, for example, would be almost unheard of. Consequently, current understanding about student capabilities in this area is very limited. The aim of this study therefore was to contribute to addressing this gap: it comprised a qualitative exploration of 12 undergraduate students’ diagram use in two essays (in which they were asked to include at least one diagram). Analysis focused on identifying the kinds of diagrams produced, and the effectiveness with which those diagrams were used. Useful functions that the diagrams served included clarification, summarization, integration of points, and provision of additional information and/or perspectives in visual form. However, there were also redundancies, as well as unclear, schematically erroneous, and overly complicated representations in some of the diagrams that the students constructed. These findings are discussed in terms of needs, opportunities, and challenges in instructional provision

A Task Analysis of Metacommunication in Time-Limited Dynamic Psychotherapy

This study examined how successful metacommunication unfolded in time-limited dynamic psychotherapy (TLDP) using the task-analytic paradigm developed by Greenberg (2007). Specifically, the purpose of the study was to discern the elements, themes, and temporal sequences that were common to effective metacommunication. In accordance with the paradigm, this was accomplished by the creation of a rational model, which combined existing theoretical literature on metacommunication and anecdotal clinical evidence. Next, the distilled components of metacommunication in six high-quality (HQ) sequences were contrasted to the distilled components of six low-quality (LQ) sequences in order to generate an empirical model. These sequences were selected from 66 audiotaped TLDP training sessions and selected for analysis via an aggregate score on several client- and therapist-completed process measures. The empirical model was then integrated with the initial rational model to generate the final rational-empirical model, which can be viewed as a five-component series of essential “tasks” that the therapist-client dyad must complete. The most important client task was clients’ ability to identify their own contributions to, or feelings about, their depictions of thematically repeated interpersonal conflict. The most important therapist tasks involved allowing for the emergence of a pattern in clients’ interpersonal difficulty before making the metacommunicative statement, as well as establishing an empathic, encouraging tone throughout the metacommunicative sequence. The presence of client-therapist mutuality (a shared sense of regard and working together) was deemed to be an essential component of successful metacommunication as well. Study findings suggest that therapists practice “patience” in allowing clients’ depictions of interpersonal or relational conflicts to become thematically established before offering a metacommunicative statement; additionally, therapists should incorporate supportive and encouraging elements into these statements. Lastly, therapists should be cautious of using metacommunication to explore clients’ self-criticism in the context of a poor therapeutic alliance. The absence of a reliable measure of metacommunication with which to select metacommunicative instances for analysis, as well as the possibility of difficult client interpersonal styles which might negatively impact therapists’ metacommunicative attempts are discussed as limitations to the study. Finally, a personal reflection is offered on a misguided metacommunicative intervention

Residential choices and interaction in three-member households: a choice experiment.

Microeconomics studies group behaviour by using the representative member model. However, there is growing evidence that there can be significant differences between choices made by single individuals and those made by the same individuals when choosing collectively. This study investigates the differences between individual and joint decisionmaking in the context of residential location choice. It is widely recognized that household location choices involve several members of a household with heterogeneous preferences and influence power. Nonetheless little is known about group decision-making processes in practice. In particular, there is only scant evidence on how preferences differ among family members and to what extent individual preferences can be aggregated to achieve an approximation of joint choices. The study evaluates whether there is heterogeneity in single members’ preferences. Furthermore, relative power is inferred by measuring similarity between ex ante single preferences and ex post joint choice outcomes. We also quantify the implicit bias generated by relying on the representative member approach. These issues are tested by employing a two-stage conjoint choice experiment administered to a sample of 53 Italian families. This work proposes a novel extension of the commonly used dyadic interaction approach to consider the role of adolescents in household decision-making.Unitary household, stated choice experiments, residential location, agent interaction and relative influence, discrete choice models, MNL, MMNL.

A novel approach to measure brain-to-brain spatial and temporal alignment during positive empathy

: Empathy is defined as the ability to vicariously experience others' suffering (vicarious pain) or feeling their joy (vicarious reward). While most neuroimaging studies have focused on vicarious pain and describe similar neural responses during the observed and the personal negative affective involvement, only initial evidence has been reported for the neural responses to others' rewards and positive empathy. Here, we propose a novel approach, based on the simultaneous recording of multi-subject EEG signals and exploiting the wavelet coherence decomposition to measure the temporal alignment between ERPs in a dyad of interacting subjects. We used the Third-Party Punishment (TPP) paradigm to elicit the personal and vicarious experiences. During a positive experience, we observed the simultaneous presence in both agents of the Late Positive Potential (LPP), an ERP component related to emotion processing, as well as the existence of an inter-subject ERPs synchronization in the related time window. Moreover, the amplitude of the LPP synchronization was modulated by the presence of a human-agent. Finally, the localized brain circuits subtending the ERP-synchronization correspond to key-regions of personal and vicarious reward. Our findings suggest that the temporal and spatial ERPs alignment might be a novel and direct proxy measure of empathy

The herd moves? Emergence and self-organization in collective actors?

The puzzle about collective actors is in the focus of this contribution. The first section enters into the question of the adequateness and inadequateness of reductionist explanations for the description of entities. The considerations in this part do not draw on systems and hence not on principles of self-organisation, because this concept necessitates a systemic view. In other words, the first section discusses reductionism and holism on a very general level. The scope of these arguments goes far beyond self-organising systems. Pragmatically, these arguments will be discussed within the domain of corporative actors. Emergence is a concept embedded in system theory. Therefore, in the second part the previous general considerations about holism are integrated with respect to the concept “emergence”. In order to close the argument by exactly characterising self-organising systems and giving the conceptual link between self-organisation and emergence – which is done in the section four – the third section generally conceptualises systems. This conceptualisation is independent of whether these systems are self-organising or not. Feedback loops are specified as an essential component of systems. They establish the essential precondition of system-theoretic models where causes may also be effects and vice versa. System-theory is essential for dynamic models like ecological models and network thinking. In the fourth part mathematical chaos-theory bridges the gap between the presentation of systems in general and the constricted consideration of self-organising systems. The capability to behave or react chaotically is a necessary precondition of self-organisation. Nevertheless, there are striking differences in the answers given from theories of self-organisation in biology, economics or sociology on the question “What makes the whole more than the sum of its parts?” The fracture seems particularly salient at the borderline between formal-mathematical sciences like natural sciences including economy and other social sciences like sociology, for instance in the understanding and conceptualisation of “chaos” or “complexity”. Sometimes it creates the impression that originally well defined concepts from mathematics and natural science are metaphorically used in social sciences. This is a further reason why this paper concentrates on conceptualisations of self-organisation from natural sciences. The fifth part integrates the arguments from a system-theoretic point of view given in the three previous sections with respect to collective and corporative actors. Due to his prominence all five sections sometimes deal with the sociological system theory by Niklas Luhmann, especially in those parts with rigorous and important differences between his conception and the view given in this text. Despite Luhmann’s undoubted prominence in sociology, the present text strives for a more analytical and formal understanding of social systems and tries to find a base for another methodological approach.

ACTOR CENTRALITY IN NETWORK PROJECTS AND SCIENTIFIC PERFORMANCE: AN EXPLORATORY STUDY

This study analyzed the relationship between actor centrality of Network Projects and scientific productivity performance using a method known as Social Network Analysis (SNA). SNA and its respective properties are able to analyze actors´ positions in the structure and existing social interactions in networks. Thus, this method generates indicators to understand the format of collaborative structures of projects and their respective performances in scientific productivity. In order to carry out this proposal, models for multimodal analysis were used, taking into consideration different centrality measures. The behavior of centrality metrics has proven to be significantly different for analyses. Furthermore, the correlations between these metrics and scientific productivity performance have shown to be important in achieving project goals. This shows that the more centrality there is, the greater the chance the project has to achieve its goals