scholarly journals Intuitive versus theoretical approaches to visual communication to facilitate knowledge transfer

2021 ◽  
Author(s):  
Dianne Nubla
Keyword(s):  
Design Process ◽  
Information Design ◽  
Data Driven ◽  
Design Solution ◽  
Information Graphics ◽  
Blind Test ◽  
Theoretical Approaches ◽  
Rule Change ◽  
Solid Foundation ◽  
The Impact

During the start of the 2002-2003 Ontario youth hockey season, Hockey Canada lowered the age of allowable bodychecking from 12-13 years of age to 9. Dr.Michael Cusimano, a neurosurgeon from St. Michael’s hospital, investigated the neurological impact of this rule change on youth players in an effort to educate hockey parents on the dangers of bodychecking. Using Dr. Cuismano’s research data, the investigator created three information graphics through three different design approaches: intuitive, theoretical and content-theoretical. Through a 5-Step practical-based methodology, the investigator sought to understand whether Dondis’basic elements of design and Gestalt theory would guide the design process to create a visual solutions geared towards educating hockey parents. The theoretical checklist played played an important role in the creation of the theoretical and content-theoretical designs. Furthermore, the process determined that richness of data generated more robust design solution. When comparing the three designs, it is evident that there is a continual evolution, with each new design extracting strong graphical elements and colour schemes from its predecessor. A blind test was conducted on Dr. Cusimano to determine the success of the visual solutions for the intended target audience. Selected designs included the intuitive and content-theoretical solutions, which Dr. Cusimano felt best represented his research and effectively captured the attention of hockey parents. This experimental design provides a solid foundation, which can be taken further; the three recommendations made by the investigator are to experiment with data-driven parameters, examine the impact of culture on the information design process or hold a focus group with hockey parents to test the impact of the three information graphics created.

scholarly journals Intuitive versus theoretical approaches to visual communication to facilitate knowledge transfer

2021 ◽  
Author(s):  
Dianne Nubla
Keyword(s):  
Design Process ◽  
Information Design ◽  
Data Driven ◽  
Design Solution ◽  
Information Graphics ◽  
Blind Test ◽  
Theoretical Approaches ◽  
Rule Change ◽  
Solid Foundation ◽  
The Impact

During the start of the 2002-2003 Ontario youth hockey season, Hockey Canada lowered the age of allowable bodychecking from 12-13 years of age to 9. Dr.Michael Cusimano, a neurosurgeon from St. Michael’s hospital, investigated the neurological impact of this rule change on youth players in an effort to educate hockey parents on the dangers of bodychecking. Using Dr. Cuismano’s research data, the investigator created three information graphics through three different design approaches: intuitive, theoretical and content-theoretical. Through a 5-Step practical-based methodology, the investigator sought to understand whether Dondis’basic elements of design and Gestalt theory would guide the design process to create a visual solutions geared towards educating hockey parents. The theoretical checklist played played an important role in the creation of the theoretical and content-theoretical designs. Furthermore, the process determined that richness of data generated more robust design solution. When comparing the three designs, it is evident that there is a continual evolution, with each new design extracting strong graphical elements and colour schemes from its predecessor. A blind test was conducted on Dr. Cusimano to determine the success of the visual solutions for the intended target audience. Selected designs included the intuitive and content-theoretical solutions, which Dr. Cusimano felt best represented his research and effectively captured the attention of hockey parents. This experimental design provides a solid foundation, which can be taken further; the three recommendations made by the investigator are to experiment with data-driven parameters, examine the impact of culture on the information design process or hold a focus group with hockey parents to test the impact of the three information graphics created.

Shared-Gaussian Process: Learning Interpretable Shared Hidden Structure Across Data Spaces for Design Space Analysis and Exploration

2020 ◽  
Vol 142 (8) ◽  
Author(s):  
Wei Xing ◽  
Shireen Y. Elhabian ◽  
Vahid Keshavarzzadeh ◽  
Robert M. Kirby
Keyword(s):  
Gaussian Process ◽  
Design Process ◽  
Latent Variable ◽  
Design Space ◽  
Mathematical Formulation ◽  
Correlated Data ◽  
Data Driven ◽  
Design Solution ◽  
Variable Model ◽  
Trade Offs

Abstract An industrial design process is often highly iterative. With unclear relationships between the quantity of interest (QoI) trade-offs and the design solution, the definition of the cost function usually undergoes several modifications that mandate a continued interaction between the designer and the client to encode all design and mission requirements into an optimization-friendly mathematical formulation. Such an iterative process is time consuming and computationally expensive. An efficient way to accelerate this process is to derive data-driven mappings between the design/mission and QoI spaces to provide visual insights into the interactions among different QoIs as related to their corresponding simulation parameters. In this paper, we propose Shared-Gaussian process (GP), a generative model for the design process that is based on a Gaussian process latent variable model. Shared-GP learns correlations within and across multiple, but implicitly correlated, data spaces considered in the design process (i.e., the simulation parameter space, the design space, and the QoI spaces) to provide data-driven mappings across these data spaces via efficient inference. Shared-GP also provides a structured low-dimensional representation shared among data spaces (some of which are of very high dimension) that the designer can use to efficiently explore the design space without the need for costly simulations.

scholarly journals The Meaning of “Near” and “Far”: The Impact of Structuring Design Databases and the Effect of Distance of Analogy on Design Output

2012 ◽  
Author(s):  
Katherine Fu ◽  
Joel Chan ◽  
Jonathan Cagan ◽  
Kenneth Kotovsky ◽  
Christian Schunn ◽  
...  
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Design Problem ◽  
Semantic Analysis ◽  
Cognitive Engineering ◽  
Design Solution ◽  
Data Mapping ◽  
Design Study ◽  
Design By Analogy ◽  
The Impact

This work lends insight into the meaning and impact of “near” and “far” analogies. A cognitive engineering design study is presented that examines the effect of the distance of analogical design stimuli on design solution generation, and places those findings in context of results from the literature. The work ultimately sheds new light on the impact of analogies in the design process and the significance of their distance from a design problem. In this work, the design repository from which analogical stimuli are chosen is the U.S. patent database, a natural choice, as it is one of the largest and easily accessed catalogued databases of inventions. The “near” and “far” analogical stimuli for this study were chosen based on a structure of patents, created using a combination of Latent Semantic Analysis and a Bayesian based algorithm for discovering structural form, resulting in clusters of patents connected by their relative similarity. The findings of this engineering design study are contextualized with the findings of recent work in design by analogy, by mapping the analogical stimuli used in the earlier work into similar structures along with the patents used in the current study. Doing so allows the discovery of a relationship between all of the stimuli and their relative distance from the design problem. The results confirm that “near” and “far” are relative terms, and depend on the characteristics of the potential stimuli. Further, although the literature has shown that “far” analogical stimuli are more likely to lead to the generation innovative solutions with novel characteristics, there is such a thing as too far. That is, if the stimuli are too distant, they then can become harmful to the design process. Importantly, as well, the data mapping approach to identify analogies works, and is able to impact the effectiveness of the design process. This work has implications not only in the area of finding inspirational designs to use for design by analogy processes in practice, but also for synthesis, or perhaps even unification, of future studies in the field of design by analogy.

scholarly journals The Meaning of “Near” and “Far”: The Impact of Structuring Design Databases and the Effect of Distance of Analogy on Design Output

2013 ◽  
Vol 135 (2) ◽  
Author(s):  
Katherine Fu ◽  
Joel Chan ◽  
Jonathan Cagan ◽  
Kenneth Kotovsky ◽  
Christian Schunn ◽  
...  
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Design Problem ◽  
Semantic Analysis ◽  
Cognitive Engineering ◽  
Design Solution ◽  
Data Mapping ◽  
Design Study ◽  
Design By Analogy ◽  
The Impact

This work lends insight into the meaning and impact of “near” and “far” analogies. A cognitive engineering design study is presented that examines the effect of the distance of analogical design stimuli on design solution generation, and places those findings in context of results from the literature. The work ultimately sheds new light on the impact of analogies in the design process and the significance of their distance from a design problem. In this work, the design repository from which analogical stimuli are chosen is the U.S. patent database, a natural choice, as it is one of the largest and easily accessed catalogued databases of inventions. The “near” and “far” analogical stimuli for this study were chosen based on a structure of patents, created using a combination of latent semantic analysis and a Bayesian based algorithm for discovering structural form, resulting in clusters of patents connected by their relative similarity. The findings of this engineering design study are juxtaposed with the findings of a previous study by the authors in design by analogy, which appear to be contradictory when viewed independently. However, by mapping the analogical stimuli used in the earlier work into similar structures along with the patents used in the current study, a relationship between all of the stimuli and their relative distance from the design problem is discovered. The results confirm that “near” and “far” are relative terms, and depend on the characteristics of the potential stimuli. Further, although the literature has shown that “far” analogical stimuli are more likely to lead to the generation of innovative solutions with novel characteristics, there is such a thing as too far. That is, if the stimuli are too distant, they then can become harmful to the design process. Importantly, as well, the data mapping approach to identify analogies works, and is able to impact the effectiveness of the design process. This work has implications not only in the area of finding inspirational designs to use for design by analogy processes in practice, but also for synthesis, or perhaps even unification, of future studies in the field of design by analogy.

Economic behavior of households and their welfare: models and forms of interaction

2020 ◽  
pp. 3-8
Author(s):  
Maryana Bil ◽  
Olha Mulska
Keyword(s):  
Economic Growth ◽  
Social Protection ◽  
Well Being ◽  
Central Place ◽  
Economic Behavior ◽  
Human Potential ◽  
Modern Theory ◽  
Economic Behaviour ◽  
Theoretical Approaches ◽  
The Impact

The article defines the content of welfare as a measure of socially oriented efficiency of economic growth, which reflects the appropriate level of providing the population with material and spiritual goods with the formation of favourable conditions for human development and capitalization of human potential in a competitive mobile space. The modern theory of welfare testifies to the deepening of scientific discussions on the transformation of economic welfare into mobile and inclusive, as well as the opposition of competitive and social protection welfare policy. Another milestone in the evolution of welfare theory is the individualization of its provision. Conditions of competition and mobility increase the importance of households in providing their well-being with further reflection on the processes of economic growth of the community, region, and state. This gives grounds to actualize the issues of household welfare research and strengthening economic growth based on behavioural economics. The needs, interests, motives, and incentives determine the economic behaviour of households. At higher levels, it defines an economic culture that is closely linked to the national mentality. In this regard, the main models of economic and social behaviour of households – socialization, adaptation, integration, values, regulation, and the definition of financial development strategies are outlined. Theoretical approaches to the explanation of economic behaviour are generalized, namely religious-ethical, psychological, substantive theories, theories of motivations and acquired needs, process theories, theories of justice, and others. Based on the ideas of foreign scientists, the main determinants of the economic policy of households are proposed. Political, stabilizing, and economic determinants are distinguished in the group of general determinants. In the group of determinants directly related to households, the financial, demographic, cultural, social, empirical, and psychological are suggested. The author’s emphasis is placed on the importance of the impact of financial determinants of the households’ economic behaviour, the central place among which is occupied by savings.

scholarly journals Mechatronic Design of a Robot for Upper Limb Rehabilitation at Home

2021 ◽  
Vol 18 (4) ◽  
pp. 857-871
Author(s):  
Elio Matteo Curcio ◽  
Giuseppe Carbone
Keyword(s):  
Design Process ◽  
Upper Limb ◽  
Experimental Tests ◽  
Design Solution ◽  
Upper Limb Rehabilitation ◽  
Potential Benefits ◽  
Significant Cost Reduction ◽  
Dynamics Models ◽  
Limb Rehabilitation ◽  
At Home

AbstractThis paper addresses the design of a novel bionic robotic device for upper limb rehabilitation tasks at home. The main goal of the design process has been to obtain a rehabilitation device, which can be easily portable and can be managed remotely by a professional therapist. This allows to treat people also in regions that are not easily reachable with a significant cost reduction. Other potential benefits can be envisaged, for instance, in the possibility to keep social distancing while allowing rehabilitation treatments even during a pandemic spread. Specific attention has been devoted to design the main mechatronic components by developing specific kinematics and dynamics models. The design process includes the implementation of a specific control hardware and software. Preliminary experimental tests are reported to show the effectiveness and feasibility of the proposed design solution.

scholarly journals From Evidence to Design Solution—On How to Handle Evidence in the Design Process of Sustainable, Accessible and Health-Promoting Landscapes

2021 ◽  
Vol 13 (6) ◽  
pp. 3249
Author(s):  
Marie C. Gramkow ◽  
Ulrik Sidenius ◽  
Gaochao Zhang ◽  
Ulrika K. Stigsdotter
Keyword(s):  
Design Process ◽  
Process Model ◽  
Design Solution ◽  
Design Criteria ◽  
Evidence Based ◽  
Design Program ◽  
Evidence Collection ◽  
Health Promoting ◽  
Development Goals ◽  
Programming Step

The work of landscape architects can contribute to the United Nation’s Sustainable Development Goals and the associated ‘Leave no one behind’ agenda by creating accessible and health-promoting green spaces (especially goals 3, 10 and 11). To ensure that the design of green space delivers accessibility and intended health outcomes, an evidence-based design process is recommended. This is a challenge, since many landscape architects are not trained in evidence-based design, and leading scholars have called for methods that can help landscape architects work in an evidence-based manner. This paper examines the implementation of a process model for evidence-based health design in landscape architecture. The model comprises four steps: ‘evidence collection’, ‘programming’, ‘designing’, and ‘evaluation’. The paper aims to demonstrate how the programming step can be implemented in the design of a health-promoting nature trail that is to offer people with mobility disabilities improved mental, physical and social health. We demonstrate how the programming step systematizes evidence into design criteria (evidence-based goals) and design solutions (how the design criteria are to be solved in the design). The results of the study are presented as a design ‘Program’, which we hope can serve as an example for landscape architects of how evidence can be translated into design.

scholarly journals Quantifying the Impact of a Tsunami on Data-Driven Earthquake Relief Zone Planning in Los Angeles County via Multivariate Spatial Optimization

Geosciences ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 99 ◽  
Author(s):  
Yueqi Gu ◽  
Orhun Aydin ◽  
Jacqueline Sosa
Keyword(s):  
Los Angeles ◽  
A Priori ◽  
Safety Data ◽  
Spatial Optimization ◽  
Optimal Number ◽  
Multidisciplinary Optimization ◽  
Data Driven ◽  
Fault System ◽  
Design Data ◽  
The Impact

Post-earthquake relief zone planning is a multidisciplinary optimization problem, which required delineating zones that seek to minimize the loss of life and property. In this study, we offer an end-to-end workflow to define relief zone suitability and equitable relief service zones for Los Angeles (LA) County. In particular, we address the impact of a tsunami in the study due to LA’s high spatial complexities in terms of clustering of population along the coastline, and a complicated inland fault system. We design data-driven earthquake relief zones with a wide variety of inputs, including geological features, population, and public safety. Data-driven zones were generated by solving the p-median problem with the Teitz–Bart algorithm without any a priori knowledge of optimal relief zones. We define the metrics to determine the optimal number of relief zones as a part of the proposed workflow. Finally, we measure the impacts of a tsunami in LA County by comparing data-driven relief zone maps for a case with a tsunami and a case without a tsunami. Our results show that the impact of the tsunami on the relief zones can extend up to 160 km inland from the study area.

scholarly journals The INSESS-COVID19 Project. Evaluating the Impact of the COVID19 in Social Vulnerability While Preserving Privacy of Participants from Minority Subpopulations

2021 ◽  
Vol 11 (7) ◽  
pp. 3110
Author(s):  
Karina Gibert ◽  
Xavier Angerri
Keyword(s):  
Social Vulnerability ◽  
Data Science ◽  
Policy Design ◽  
Data Driven ◽  
Informed Decision Making ◽  
Technological Infrastructure ◽  
Moderate Number ◽  
Reliable Diagnosis ◽  
Multivariate Relationships ◽  
The Impact

In this paper, the results of the project INSESS-COVID19 are presented, as part of a special call owing to help in the COVID19 crisis in Catalonia. The technological infrastructure and methodology developed in this project allows the quick screening of a territory for a quick a reliable diagnosis in front of an unexpected situation by providing relevant decisional information to support informed decision-making and strategy and policy design. One of the challenges of the project was to extract valuable information from direct participatory processes where specific target profiles of citizens are consulted and to distribute the participation along the whole territory. Having a lot of variables with a moderate number of citizens involved (in this case about 1000) implies the risk of violating statistical secrecy when multivariate relationships are analyzed, thus putting in risk the anonymity of the participants as well as their safety when vulnerable populations are involved, as is the case of INSESS-COVID19. In this paper, the entire data-driven methodology developed in the project is presented and the dealing of the small subgroups of population for statistical secrecy preserving described. The methodology is reusable with any other underlying questionnaire as the data science and reporting parts are totally automatized.

Sign in / Sign up

Export Citation Format

Share Document