A Testing Method and Cognitive Model of Human Diagram Understanding for Automating Design Sketch Recognition

2009 ◽  
Author(s):  
Mark D. Fuge ◽  
Levent Burak Kara
Keyword(s):  
Cognitive Processes ◽  
Visual Recognition ◽  
Peripheral Vision ◽  
Cognitive Model ◽  
Computational Design ◽  
Design Tools ◽  
Testing Method ◽  
Human Attention ◽  
Automated Tools ◽  
Insight Into

Sketches, whether hand-drawn or computer generated, are a natural and integral part of the design process. Despite this fact, modern day computational design tools are ill-equipped to take full advantage of sketching input. The computational challenges of recognizing sketches are easily overcome by human visual recognition and much insight stands to be gained by emulating human cognitive processes. Creating robust, automated tools that overcome the ambiguity of sketching input would allow for advances not only in the practice of engineering design, but in the education of design itself. One first step toward the development of a robust sketching tool is to determine how humans interpret mechanical engineering diagrams. This paper presents two contributions toward the goal of an automated diagram understanding system. First, a method is presented to gain insight into human diagram recognition using techniques analogous to peripheral vision and human attention. Following this, a cognitive model of human diagram understanding is presented from which to further develop computational design tools. With this work, researchers should be able to (1) improve understanding of human diagram recognition and (2) use our model to emulate human diagram recognition in future computational design tools.

scholarly journals To sext or not to sext. The role of social-cognitive processes in the decision to engage in sexting

2021 ◽  
Vol 38 (4) ◽  
pp. 1410-1429
Author(s):  
Claire Wilson ◽  
Tommy van Steen ◽  
Christabel Akinyode ◽  
Zara P. Brodie ◽  
Graham G. Scott
Keyword(s):  
Cognitive Processes ◽  
Self Efficacy ◽  
Social Cognitive ◽  
Cognitive Factors ◽  
Relationship Status ◽  
Injunctive Norm ◽  
The Social ◽  
And Behavior ◽  
Insight Into

Technology has given rise to online behaviors such as sexting. It is important that we examine predictors of such behavior in order to understand who is more likely to sext and thus inform intervention aimed at sexting awareness. We used the Theory of Planned Behavior (TPB) to examine sexting beliefs and behavior. Participants (n = 418; 70.3% women) completed questionnaires assessing attitudes (instrumental and affective), subjective norms (injunctive and descriptive), control perceptions (self-efficacy and controllability) and intentions toward sexting. Specific sexting beliefs (fun/carefree beliefs, perceived risks and relational expectations) were also measured and sexting behavior reported. Relationship status, instrumental attitude, injunctive norm, descriptive norm and self-efficacy were associated with sexting intentions. Relationship status, intentions and self-efficacy related to sexting behavior. Results provide insight into the social-cognitive factors related to individuals’ sexting behavior and bring us closer to understanding what beliefs predict the behavior.

scholarly journals Computational Design of Radical Recognition Assay with the Possible Application of Cyclopropyl Vinyl Sulfides as Tunable Sensors

2021 ◽  
Vol 22 (14) ◽  
pp. 7637
Author(s):  
Liliya T. Sahharova ◽  
Evgeniy G. Gordeev ◽  
Dmitry B. Eremin ◽  
Valentine P. Ananikov
Keyword(s):  
Uv Light ◽  
Computational Design ◽  
Energy Profiles ◽  
Vinyl Sulfides ◽  
Tunable Sensors ◽  
Radical Generation ◽  
Metal Catalyzed ◽  
Dynamics Simulations ◽  
Simulations And Modeling ◽  
Insight Into

The processes involving the capture of free radicals were explored by performing DFT molecular dynamics simulations and modeling of reaction energy profiles. We describe the idea of a radical recognition assay, where not only the presence of a radical but also the nature/reactivity of a radical may be assessed. The idea is to utilize a set of radical-sensitive molecules as tunable sensors, followed by insight into the studied radical species based on the observed reactivity/selectivity. We utilize this approach for selective recognition of common radicals—alkyl, phenyl, and iodine. By matching quantum chemical calculations with experimental data, we show that components of a system react differently with the studied radicals. Possible radical generation processes were studied involving model reactions under UV light and metal-catalyzed conditions.

An Interactive Morphological Matrix Computational Design Tool: A Hybrid of Two Methods

2007 ◽  
Author(s):  
Cari R. Bryant ◽  
Matt Bohm ◽  
Robert B. Stone ◽  
Daniel A. McAdams
Keyword(s):  
Computational Design ◽  
Design Tool ◽  
Design Tools ◽  
Concept Generation ◽  
University Of Missouri ◽  
Generation Algorithm ◽  
Design Theories ◽  
The University ◽  
Matrix Generator

This paper builds on previous concept generation techniques explored at the University of Missouri - Rolla and presents an interactive concept generation tool aimed specifically at the early concept generation phase of the design process. Research into automated concept generation design theories led to the creation of two distinct design tools: an automated morphological search that presents a designer with a static matrix of solutions that solve the desired input functionality and a computational concept generation algorithm that presents a designer with a static list of compatible component chains that solve the desired input functionality. The merger of both the automated morphological matrix and concept generation algorithm yields an interactive concept generator that allows the user to select specific solution components while receiving instantaneous feedback on component compatibility. The research presented evaluates the conceptual results from the hybrid morphological matrix approach and compares interactively constructed solutions to those returned by the non-interactive automated morphological matrix generator using a dog food sample packet counter as a case study.

scholarly journals Prosodic organization of English folk riddles and the mechanism of their decoding

2016 ◽  
Vol 2 ◽  
pp. 153-166
Author(s):  
Larysa Taranenko
Keyword(s):  
Characteristic Feature ◽  
Cognitive Processes ◽  
Conceptual Analysis ◽  
Specific Interaction ◽  
Cognitive Model ◽  
Compositional Structure ◽  
Auditory Analysis ◽  
Model Formation ◽  
Phonetic Study ◽  
Methodological Ground

The paper advances a cognitive model representing a creative mechanism of riddle decoding by its recipient, which serves as a theoretical and methodological ground for the experimental phonetic study of prosodic means that organize the text of a riddle. Within the process of cognitive model formation the author performs a conceptual analysis of the riddle compositional structure, presented as a systemic algorithmic scheme. It is confirmed that a characteristic feature of a folk riddle is its division into two elements: the first one is the description of an object, further differentiated into “topic” and “commentary”, while the second one is the riddle answer, or solution, generated directly in the recipient’s mind as a result of his/her mental activities. The carried out auditory analysis proves that such a limitation of the riddle’s structure is compensated by a set of prosodic means and their specific interaction, which trigger creative and cognitive processes in the recipient’s mind aimed at searching for the riddle solution.

scholarly journals An earlier role for intent in children’s partner choice versus punishment

2020 ◽  
Author(s):  
Justin Martin ◽  
Kyleigh Leddy ◽  
Liane Young ◽  
Katherine McAuliffe
Keyword(s):  
Young Children ◽  
Moral Judgment ◽  
Cognitive Processes ◽  
Developmental Trajectories ◽  
Partner Choice ◽  
Moral Judgments ◽  
Equal Weight ◽  
Behavioral Differences ◽  
The Many ◽  
Insight Into

Among the many factors that influence our moral judgments, two are especially important: whether the person caused a bad outcome and whether they intended for it to happen. Notably, the weight accorded to these factors in adulthood varies by the type of judgment being made. For punishment decisions, intentions and outcomes carry relatively equal weight; for partner choice decisions (i.e., deciding whether or not to interact with someone again), intentions are weighted much more heavily. These behavioral differences in punishment and partner choice judgments may also reflect more fundamental differences in the cognitive processes supporting these decisions. Exploring how punishment and partner choice emerge in development provides important and unique insight into these processes as they emerge and mature. Here, we explore the developmental emergence of punishment and partner choice decisions in 4- to 9-year-old children. Given the importance of intentions for partner choice decisions¬–from both theoretical and empirical perspectives–we targeted the sensitivity of these two responses to others’ intentions as well as outcomes caused. Our punishment results replicate past work: young children are more focused on outcomes caused and become increasingly sensitive to intentions with age. In contrast, partner choice judgments exhibit sensitivity to intentions at an earlier age than punishment judgments, manifesting as earlier partner choice in cases of attempted violations. These results reveal distinct developmental trajectories for punishment and partner choice judgments, with implications for our understanding of the processes underlying these two responses as well as the development of moral judgment more broadly.

UNDERSTANDING BLOGGERS POSTING ABOUT POP CULTURE: LINGUAPRAGMATICS OF «UNPOPULAR OPINION» IN THE ENGLISH INTERNET-DISCOURSE

2021 ◽  
Author(s):  
A.V. Kukovskaya
Keyword(s):  
Discourse Analysis ◽  
Cognitive Processes ◽  
Pop Culture ◽  
Computer Mediated ◽  
The Subject ◽  
The Given ◽  
Insight Into ◽  
Blog Posts ◽  
Subcultural Community

The paper explores communication within the English blogosphere in which the discourse manifests itself in blog posts, devoted, in particular, to reactions to a variety of pop-culture works. These posts are characterized by specific linguapragmatics. The article examines the language and the discourse of bloggers from the standpoint of the Linguistic Creativity approach, which may help to have an in-depth insight into the mechanisms of cognitive processes. The topicality of this topic is justified by the interest that modern linguists have in text studies, discourse analysis and computer-mediated Internet-discourse. The novelty of the article lies in the fact that the given discourse and the linguapragmatics of the posts in question in the English blogosphere have not so far received the attention they deserve and should be the subject of more research and analysis. The paper supplies relevant conclusions made on the basis of the empiric material. The research demonstrates that within the English Internet-discourse of bloggers, who interpret modern pop culture and can be considered a subcultural community, among other types of posts there can be singled out the so-called “unpopular opinion”, that boasts a number of linguapragmatic peculiarities coinciding with the communicative goals of bloggers. Decoding such posts may be a challenge and we, among other things, want to draw researchers’ attention to the “language of bloggers” and its study.

scholarly journals Applying Control Abstraction to the Design of Human–Agent Teams

Systems ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 10 ◽  
Author(s):  
Clifford D. Johnson ◽  
Michael E. Miller ◽  
Christina F. Rusnock ◽  
David R. Jacques
Keyword(s):  
Automated System ◽  
Cognitive Resources ◽  
System Control ◽  
Human Control ◽  
Human Agent ◽  
Human Attention ◽  
Levels Of Automation ◽  
Individual Decisions ◽  
System States ◽  
Insight Into

Levels of Automation (LOA) provide a method for describing authority granted to automated system elements to make individual decisions. However, these levels are technology-centric and provide little insight into overall system operation. The current research discusses an alternate classification scheme, referred to as the Level of Human Control Abstraction (LHCA). LHCA is an operator-centric framework that classifies a system’s state based on the required operator inputs. The framework consists of five levels, each requiring less granularity of human control: Direct, Augmented, Parametric, Goal-Oriented, and Mission-Capable. An analysis was conducted of several existing systems. This analysis illustrates the presence of each of these levels of control, and many existing systems support system states which facilitate multiple LHCAs. It is suggested that as the granularity of human control is reduced, the level of required human attention and required cognitive resources decreases. Thus, it is suggested that designing systems that permit the user to select among LHCAs during system control may facilitate human-machine teaming and improve the flexibility of the system.

Sign in / Sign up

Export Citation Format

Share Document