scholarly journals Design and Validation of a Method to Characterize Human Interaction Variability

Systems ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 32
Author(s):  
Kailyn Cage ◽  
Monifa Vaughn-Cooke ◽  
Mark Fuge
Keyword(s):  
Dynamic Capabilities ◽  
Engineering Students ◽  
Use Cases ◽  
Human Interaction ◽  
Design Parameters ◽  
Human Interactions ◽  
Interaction Factors ◽  
Application Identification ◽  
Product Mapping

Human interactions are paramount to the user experience, satisfaction, and risk of user errors. For products, anthropometry has traditionally been used in product sizing. However, structured methods that accurately map static and dynamic capabilities (e.g., functional mapping) of musculoskeletal regions for the conceptualization and redesign of product applications and use cases are limited. The present work aims to introduce and validate the effectiveness of the Interaction Variability method, which maps product components and musculoskeletal regions to determine explicit design parameters through limiting designer variation in the classification of human interaction factors. This study enrolled 16 engineering students to evaluate two series of interactions for (1) water bottle and (2) sunglasses applications enabling method validity and designer consistency assessments. For each interaction series, subjects identified and characterized product applications, components, and human interaction factors. Primary interactions, product mapping, and application identification achieved consensus between ranges of 31.25% and 100.00%, with significance (p < 0.1) observed at consensus rates of ≥75.00%. Significant levels of consistency were observed amongst designers, for at least one measure in all phases except anthropometric mapping for the sunglasses application indicating method effectiveness. Interaction variability was introduced and validated in this work as a standardized approach to identify, define, and map human and product interactions, which may reduce unintended use cases and user errors, respectively, in consumer populations.

Decision support or autonomous artificial intelligence? The case of wrong blood in tube errors

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Christopher-John L. Farrell
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Artificial Neural Network ◽  
Computer Simulation ◽  
Clinical Chemistry ◽  
Human Interaction ◽  
Final Decision ◽  
P Values ◽  
Laboratory Staff

Abstract Objectives Artificial intelligence (AI) models are increasingly being developed for clinical chemistry applications, however, it is not understood whether human interaction with the models, which may occur once they are implemented, improves or worsens their performance. This study examined the effect of human supervision on an artificial neural network trained to identify wrong blood in tube (WBIT) errors. Methods De-identified patient data for current and previous (within seven days) electrolytes, urea and creatinine (EUC) results were used in the computer simulation of WBIT errors at a rate of 50%. Laboratory staff volunteers reviewed the AI model’s predictions, and the EUC results on which they were based, before making a final decision regarding the presence or absence of a WBIT error. The performance of this approach was compared to the performance of the AI model operating without human supervision. Results Laboratory staff supervised the classification of 510 sets of EUC results. This workflow identified WBIT errors with an accuracy of 81.2%, sensitivity of 73.7% and specificity of 88.6%. However, the AI model classifying these samples autonomously was superior on all metrics (p-values<0.05), including accuracy (92.5%), sensitivity (90.6%) and specificity (94.5%). Conclusions Human interaction with AI models can significantly alter their performance. For computationally complex tasks such as WBIT error identification, best performance may be achieved by autonomously functioning AI models.

Analysis of Interactions through a Web Annotation Tool in a Pre-University Mathematics Online Course

2010 ◽  
pp. 79-97 ◽  
Author(s):  
Núria Escudero-Viladoms ◽  
Teresa Sancho-Vinuesa
Keyword(s):  
Engineering Students ◽  
Social Criticism ◽  
Online Course ◽  
Annotation Tool ◽  
Online Interaction ◽  
Communication Tool ◽  
University Mathematics ◽  
Collaborative Tool ◽  
Mathematical Competencies

employed as a collaborative tool or as a medium of artistic or social criticism, has been introduced in a mathematics course for online pre-engineering students. The objective of this innovation is to integrate the communication and the subject’s contents and to check whether a better level of communication between students and professors improves the acquisition of basic mathematical competencies. As a result of this study, we put forward a model for the analysis of the online interaction, as well as a classification of students in relation to the use of the communication tool.

Medical Reports Analysis Using Natural Language Processing for Disease Classification

2020 ◽  
pp. 155-172
Author(s):  
Sumathi S. ◽  
Indumathi S. ◽  
Rajkumar S.
Keyword(s):  
Natural Language Processing ◽  
Language Processing ◽  
Text Classification ◽  
Medical Data ◽  
Disease Classification ◽  
Human Interaction ◽  
Time Consumption ◽  
Medical Reports ◽  
Medical Documents

Text classification in medical domain could result in an easier way of handling large volumes of medical data. They can be segregated depending on the type of diseases, which can be determined by extracting the decisive key texts from the original document. Due to various nuances present in understanding language in general, a requirement of large volumes of text-based data is required for algorithms to learn patterns properly. The problem with existing systems such as MedScape, MedLinePlus, Wrappin, and MedHunt is that they involve human interaction and high time consumption in handling a large volume of data. By employing automation in this proposed field, the large involvement of manpower could be removed which in turn speeds up the process of classification of the medical documents by which the shortage of medical technicians in third world countries are addressed.

scholarly journals Landscape Changes and Fragmentation Analysis in a Guinea Savannah Ecosystem: Case study of Talensi and Nabdam Districts of the Upper East region, Ghana

2016 ◽  
Vol 8 (1) ◽  
pp. 41 ◽  
Author(s):  
Steve Ampofo ◽  
Isaac Sackey ◽  
Boateng Ampadu
Keyword(s):  
Human Interaction ◽  
Northern Ghana ◽  
Landcover Change ◽  
East Region ◽  
Upper East Region ◽  
Spatio Temporal ◽  
Categorical Maps ◽  
Landsat Satellite

Landcover change is an observed natural change dynamics at both the local and regional levels. However, its scales are exacerbated by human interaction with its natural environment. The study examines these spatio-temporal changes in landcover and the level to which the change is accompanied by fragmentation of the identifiable cover types in the Talensi and Nabdam districts in Northern Ghana. The research uses digital classification of Landsat satellite imagery for 1999 and 2007 to produce the cover types which results in good accuracy levels of 66.39% and 63.03% respectively. Fragmentation analysis of the landscape was computed using FRAGSTATS® software for categorical maps obtained from the classified landcover maps for the two years. All cover types increased marginally. However, Bare areas decreased by as much as 17.17% and that of water decreased from 3% to 1%. The changing landscape involving conversions within and among various cover types is accompanied by fragmentation in all classes but more pronounced in the Bare class. The Bare class type which has more patches corresponds to the class with increased cover size and rather strangely decreases in the mean path size.

scholarly journals TOWARDS THE HCI LIVING CURRICULUM

2018 ◽  
Author(s):  
Andrea Jovanovic ◽  
Olivier St-Cyr ◽  
Mark Chignell
Keyword(s):  
Social Network ◽  
Human Computer Interaction ◽  
Interest Group ◽  
Special Interest ◽  
Use Cases ◽  
Human Interaction ◽  
Teaching Materials ◽  
Computing Machinery ◽  
Design Requirements ◽  
Living Curriculum

Abstract –The Association of Computing Machinery (ACM) Special Interest Group on Computer-Human Interaction (SIGCHI) has been supporting research into HCI education for many years, most actively in the last six years. At its CHI2014 conference, a workshop on developing a new Human-Computer Interaction (HCI) living curriculum was held, building on three years of research and collaboration. We believe the time is now right to design and build the proposed HCI living curriculum. This paper proposes the preliminary framework for a concrete active social network of HCI scholars and educators, sharing and collaborating to develop course outlines, curricula, and teaching materials. In particular, this paper presents the use cases and design requirements of the HCI living curriculum, based on data collected from HCI educators and practitioners. Future initiatives to move the designforward by prototyping a first version of the living curriculum are also discussed.  

Psychologically Plausible Cognitive Models for Simulating Interactive Human Behaviors

2005 ◽  
Vol 49 (12) ◽  
pp. 1205-1209 ◽  
Author(s):  
Michael L. Bernard ◽  
Patrick Xavier ◽  
Paul Wolfenbarger ◽  
Derek Hart ◽  
Russel Waymire ◽  
...  
Keyword(s):  
Cognitive Modeling ◽  
Human Interaction ◽  
Human Model ◽  
Motor Functioning ◽  
Human Behaviors ◽  
Human Interactions ◽  
Cognitive Framework ◽  
Interaction Modeling ◽  
Cognition Model ◽  
High Level

The intent of Sandia National Laboratories' Human Interactions (HI) project is to demonstrate initial virtual human interaction modeling capability. To accomplish this, we have begun the process of simulating human behavior in a manner that produces life-like characteristics and movement, as well as creating the framework for models that are based on the most current experimental research in cognition, perception, physiology, and cognitive modeling. Currently the simulated human models can sense each other, react to each other, and move about in a simulated 3D environment. A preliminary action generation or motor-level cognition model, which transforms abstract actions generated by high-level cognition to actions that can be carried out by a simulated physical human model, has also been developed. Our work has yielded models of perceptual, spatial, and motor functioning and memory that will be embedded in upgrades to the cognitive framework.

Sign in / Sign up

Export Citation Format

Share Document