scholarly journals Developers’ Behavioral Characteristic and Its Impact On Performance: A Case Study Of Iot Development Product Design

2019 ◽  
Vol 63 (1) ◽  
pp. 1178-1182
Author(s):  
Jongsoon Park ◽  
David Kuhns
Keyword(s):  
System Design ◽  
Product Design ◽  
Human Performance ◽  
Behavioral Characteristics ◽  
Behavioral Characteristic ◽  
Design Considerations ◽  
Knowledge Based ◽  
And Performance ◽  
Developer Behavior

The IoT industry is facing a significant demand to provide more efficient paths for developer communities. At the same time, products are often developed without consideration of usability or are limited to general usability heuristics. Moreover, there is not much research on developers’ behavioral characteristics and its impact on human performance. This paper attempts to show how understanding their skill-, rule-, and knowledge-based behaviors can benefit developer experience and performance efficiency. This study references recent developer products to highlight 1) characteristics of developer behavior and 2) key system design considerations that help improve developer performance. We also discuss gaps identified in industry practices and the opportunities towards more consideration of the cognitive aspects in developer product design processes.

Cyberphysical Design Automation Framework for Knowledge-based Engineering

2013 ◽  
Vol 1 (1) ◽  
pp. 158-178
Author(s):  
Urcun John Tanik
Keyword(s):  
System Design ◽  
Design Process ◽  
Design Automation ◽  
Design Theory ◽  
Knowledge Bases ◽  
Knowledge Based ◽  
Knowledge Based Engineering ◽  
Cyberphysical System ◽  
Automation Framework

Cyberphysical system design automation utilizing knowledge based engineering techniques with globally networked knowledge bases can tremendously improve the design process for emerging systems. Our goal is to develop a comprehensive architectural framework to improve the design process for cyberphysical systems (CPS) and implement a case study with Axiomatic Design Solutions Inc. to develop next generation toolsets utilizing knowledge-based engineering (KBE) systems adapted to multiple domains in the field of CPS design automation. The Cyberphysical System Design Automation Framework (CPSDAF) will be based on advances in CPS design theory based on current research and knowledge collected from global sources automatically via Semantic Web Services. A case study utilizing STEM students is discussed.

Behavioral Characteristics of Electromechanical Products and Their Representation Based on a Modified Petri Net

2010 ◽  
Vol 37-38 ◽  
pp. 222-225
Author(s):  
Hua Bo He ◽  
Ke Wang
Keyword(s):  
Petri Nets ◽  
Conceptual Design ◽  
Petri Net ◽  
Behavioral Effect ◽  
Behavioral Characteristics ◽  
Behavioral Characteristic ◽  
Electromechanical Products ◽  
Behavior Characteristics

Behavioral characteristic is one of the important targets in conceptual design and re-design of electromechanical products. To summarize the knowledge of behavior characteristics of electromechanical products, this paper proposed the concepts of behavioral effect, elemental behavior and behavioral chain. It made the modification to classical Petri nets, then analyzed and expressed the behavior characteristics using the modified Petri nets. Finally, a case study of an electric nail-gun was conducted to demonstrate the feasibility of the proposed methodologies.

Making Behavioral Data Useful for System Design Applications: Development of the Engineering Data Compendium

1988 ◽  
Vol 32 (16) ◽  
pp. 1021-1025 ◽  
Author(s):  
Janet E. Lincoln ◽  
Kenneth R. Boff
Keyword(s):  
System Design ◽  
Human Performance ◽  
Technical Information ◽  
Human Perception ◽  
Support Design ◽  
Data Resource ◽  
Engineering Data ◽  
Trade Offs ◽  
Research Findings ◽  
And Performance

In spite of the critical need to match the capabilities of complex human-interfaced systems to the capabilities and limitations of the human operator, relevant research findings on human perception and performance are seldom given systematic consideration in the design of control and display systems. A major reason is that the costs and risks associated with accessing, interpreting, and applying these data are unacceptably high to designers already overburdened with technical information. To help reduce these costs, the Integrated Perceptual Information for Designers (IPID) program has developed: (1) a procedure for compiling and integrating widely scattered human performance research data with potential application in system design; and (2) a format for presenting these data so they can be used directly by practitioners to support design decisions and trade-offs. This data consolidation procedure and presentation format have been used to produce a full-scale demonstration data resource, the Engineering Data Compendium, that integrates information from over 75 subareas of human perception and performance into a 4-volume reference work for designers.

Study on Logistics-Oriented Product Innovative Design

2010 ◽  
Vol 139-141 ◽  
pp. 1136-1141
Author(s):  
Chun Sheng Zhou ◽  
Wu Zhao ◽  
Kai Zhang
Keyword(s):  
Product Design ◽  
Quality Function Deployment ◽  
Design Theory ◽  
Product Performance ◽  
Design Criteria ◽  
Innovative Design ◽  
Knowledge Based ◽  
Engineering Parameters ◽  
Design Conflicts

In order to improve the logistic characteristics of products, a process of product innovative design for logistics is presented which is combined with the idea of product design for logistics and innovative design theory. Some innovative design approaches i.e. TRIZ, QFD, knowledge-based innovative design, are introduced. Based upon product design criteria for logistics and QFD (Quality Function Deployment), the conflicts between product performance and logistic characteristics are discussed and determined. TRIZ (Theory of Inventive Problem Solving) is employed to solve the conflicts, with the conflict matrix and inventive principles. According to the product logistic characteristics, the general TRIZ engineering parameters are simplified to facilitate the application. Further more, the analysis of logistic design conflicts is introduced. A case study has been done to illustrate the method proposed in this paper.

Modeling Human Performance with Environmental Stressors: A Case Study of the Effect of Vehicle Motion

2007 ◽  
Vol 51 (12) ◽  
pp. 780-783
Author(s):  
Josephine Q. Wojciechowski
Keyword(s):  
Human Performance ◽  
Performance Modeling ◽  
Environmental Stressors ◽  
Modeling Tools ◽  
Moving Vehicle ◽  
Task Time ◽  
Improved Performance ◽  
And Performance ◽  
The Impact

Human performance modeling tools are used to predict mission performance as a function of human performance. The U.S. Army Research Laboratory has developed a human performance modeling tool, the Improved Performance Research Integration Tool (IMPRINT), for investigation of the impact on a Soldier's performance when the Soldier subjected to environmental stressors such as heat and cold. IMPRINT has the capability to create user-defined stressors to study the stressors' effect on human performance and therefore system performance. This case study used data from literature to create a user-defined stressor in IMPRINT to predict the effect of riding in a moving vehicle on task time and performance. This capability can provide useful information to system designers.

Acquired, transferred and integrated knowledge: a study of M&A knowledge performance

2018 ◽  
Vol 11 (3) ◽  
pp. 282-305 ◽  
Author(s):  
Rachel Calipha ◽  
David M. Brock ◽  
Ahron Rosenfeld ◽  
Dov Dvir
Keyword(s):  
Knowledge Integration ◽  
Theory Model ◽  
Annual Reports ◽  
Content Type ◽  
Knowledge Based ◽  
Before And After ◽  
And Performance ◽  
The Relationship ◽  
Integrated Knowledge

PurposeThe acquisition of knowledge through mergers and acquisition (M&A) may not create value—usually because the knowledge may not be transferred, or transferred but not integrated. The purpose of this paper to develop and test a theoretical model of knowledge and performance in the M&A process.Design/methodology/approachTheory, model and case analysis.FindingsThe literature review led us to distinguish between three main categories of knowledge along the different stages of the M&A process: acquired knowledge in the pre-merger stage; and transferred knowledge and integrated knowledge in the post-merger stage. The application of the model is illustrated in a case study of technology M&A, which includes data collected from annual reports before and after the merger.Research limitations/implicationsThe model recommends acknowledging the differences between the acquired knowledge, transferred knowledge and integrated knowledge when examining the relationship between knowledge and performance in M&As. In addition, the model suggests considering several factors that influence future knowledge integration in the pre-merger stage. Ignoring the three categories and the factors may be the reason for the reports of previous studied stating that the acquisition of knowledge-based resources is associated with negative announcement returns to the acquiring firm.Originality/valueThe paper presents new procedures to measure knowledge, collecting data on R&D employees by using annual reports. In addition, the paper suggests adding “in-process R&D” as an “Acquired Knowledge” measure.

An Efficient Branch-and-Bound Algorithm for Interface-Based Modular Product Design and Performance Evaluation

2013 ◽  
Vol 13 (4) ◽  
Author(s):  
John Jung-Woon Yoo ◽  
Anirudh Aryasomayajula ◽  
Seung Ki Moon
Keyword(s):  
Performance Evaluation ◽  
Product Design ◽  
Branch And Bound ◽  
Branch And Bound Algorithm ◽  
Planning Problem ◽  
Modular Product ◽  
And Performance ◽  
Main Components ◽  
Machine Readable

In our earlier work, we have proposed a cyberinfrastructure-based collaboration system for modular product design. One of the main components of the system is a design repository to which suppliers can upload the descriptions of their components using machine-readable, interface-based component description language, so that manufacturers can refer to the descriptions during product design phases. In this paper, we propose an efficient algorithmic approach based on a branch-and-bound (BnB) algorithm to support product design using the interface-based component descriptions stored in the design repository. This product design problem is categorized into a planning problem, whose complexity is known as non-deterministic polynomial-time (NP) hard. For performance evaluation, we compare the performance of the branch-and-bound algorithm with that of a depth-first search (DFS) algorithm, which is an exhaustive search method. This paper describes the details of the proposed branch-and-bound algorithm using a case study and experimental results are discussed.

Knowledge Flow in Product Design

2008 ◽  
Author(s):  
Zhinan Zhang ◽  
Youbai Xie
Keyword(s):  
Product Design ◽  
Knowledge Flows ◽  
Product Performance ◽  
Knowledge Flow ◽  
Knowledge Based ◽  
Proposed Model ◽  
Critical Resource ◽  
Definition Of ◽  
Resource Environment

Product design (PD) is viewed as a knowledge-based, socially mediated, technical activity, and knowledge represents the critical resource in the PD. As knowledge is action enabled, knowledge flows can improve product performance. However, Knowledge flow (KF) has been defined and developed in the organization domain. Unfortunately, the knowledge management field does not have the benefit of strong theory on knowledge flows to inform the enhancement of Knowledge flows to enable and support PD. This paper presents the definition of KF in the domain of PD and analyzes types of KF. The key elements of KF have been introduced respectively and the four types of KF in a distributed resource environment (DRE) are presented and analyzed. We put forward a four-level knowledge flow model (KFM) and establish a novel framework of knowledge flow engine for PD in a DRE. The model has been employed for a case study directly. The proposed model and framework provide a new way to enhance KF in PD under a DRE.

Behavioral Characteristic of Synthetic Teammates in Simulation-Based Training

2002 ◽  
Vol 46 (25) ◽  
pp. 2039-2043 ◽  
Author(s):  
Michael A. Szczepkowski ◽  
Joan Ryder ◽  
Jacqueline Scolaro
Keyword(s):  
Human Performance ◽  
Cognitive Model ◽  
Behavioral Characteristics ◽  
Simulation Environment ◽  
Behavioral Characteristic ◽  
Model Based ◽  
Simulation Based ◽  
Training Simulation

Cognitive model-based synthetic teammates allow individuals to engage in guided mission rehearsal when other teammates and/or instructors may not be available. Synthetic teammates employed in a training simulation environment need to behave in a believable manner in order to interact with human teammates effectively. Synthetic teammate developers must consider which types of exhibited behavior are required to provide instruction. Classes of behavior that may be required of a synthetic include individual taskwork, teamwork, and instruction. In addition, the level of human performance emulation, i.e., the degree of competency of these behaviors, needs to be considered. This paper discusses these classes of behavior as well as the appropriateness of performance versus competence modeling. Two examples of synthetic teammate development efforts are presented that illustrate these behavioral characteristics.

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