scholarly journals Investigating the Case-Based Reasoning Process During HCI Design

2015 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
José Antonio Gonçalves Motta ◽  
Simone Diniz Junqueira Barbosa
Keyword(s):  
Interaction Design ◽  
Human Interaction ◽  
Design Knowledge ◽  
Design Activity ◽  
Case Based Reasoning ◽  
Access Methods ◽  
Reflective Process ◽  
New Ideas ◽  
Previous Design ◽  
Case Based

Given that the design activity makes use of previous design knowledge, we turned to case-based reasoning (CBR) to help identify opportunities to support the design of human-computer interaction (HCI). Using interviews with professional designers and Semiotic Engineering, we developed a CBR tool called CHIDeK (Computer-Human Interaction Design Knowledge), with which we conducted a study to observe how it influenced the HCI design activity. We found that the cases recorded in CHIDeK supported design by motivating the designers’ reflective process, triggering their memories of experiences with similar systems, and helping to generate new ideas. We have also identified limitations in our case representation and case access methods, which offer opportunities for further research.

scholarly journals Research on new creative conceptual design system using adapted case-based reasoning technique

2016 ◽  
Vol 31 (1) ◽  
pp. 16-29 ◽  
Author(s):  
Jie Hu ◽  
Jin Ma ◽  
Jin-Feng Feng ◽  
Ying-Hong Peng
Keyword(s):  
Knowledge Representation ◽  
Conceptual Design ◽  
Design System ◽  
Design Knowledge ◽  
Case Based Reasoning ◽  
Pump Design ◽  
Design Models ◽  
Representation Model ◽  
Previous Design ◽  
Case Based

AbstractCreative conceptual design requires significant previous design knowledge. Case-based reasoning enables learning from previous design experience and has a great potential in supporting creative conceptual design by means of seeking to retrieve, reuse, and revise most appropriate cases to generate inspired solutions. However, traditional case-based reasoning based creative conceptual design models focus on design strategies research, pay little attention to defining a consistent knowledge representation model, and neglect the research to make various types of knowledge retrieval tractable. Faced with such drawbacks, the expected design knowledge cannot be retrieved properly, especially in cases where multidisciplinary knowledge is concerned or exact query terms are absent. In order to solve these issues, this paper presents a combined approach to support creative conceptual design process. First, function–behavior–structure knowledge cell is introduced as a unified consistent design knowledge representation model. Second, a hybrid similarity measure is proposed to increase the overall possibility of obtaining useful design knowledge by considering semantic understanding ability. Third, an intelligent creative conceptual design system has been developed with a case study of a novel insulin pump design to demonstrate its usage, and two experiments are conducted to evaluate the performance of the proposed approach. The results show that the proposed approach outperforms other case-based reasoning based creative conceptual design models.

DEJAVU: Case-based reasoning for mechanical design

1993 ◽  
Vol 7 (2) ◽  
pp. 111-124 ◽  
Author(s):  
Theodore Bardasz ◽  
Ibrahim Zeid
Keyword(s):  
Mechanical Design ◽  
Design Knowledge ◽  
Case Based Reasoning ◽  
Design Environment ◽  
Design Problems ◽  
Evaluation Module ◽  
Main Components ◽  
Domain Independent ◽  
Synergistic Relationship ◽  
Case Based

The architecture and implementation of a mechanical designer's assistant shell called DEJAVU is presented. The architecture is based on an integration of design and CAD with some of the more well known concepts in case-based reasoning (CBR). DEJAVU provides a flexible and cognitively intuitive approach for acquiring and utilizing design knowledge. It is a domain independent mechanical design shell that can incrementally acquire design knowledge in the domain of the user. DEJAVU provides a design environment that can learn from the designer(s) until it can begin to perform design tasks autonomously or semi-autonomously. The main components of DEJAVU are a knowledge base of design plans, an evaluation module in the form of a design plan system, and a blackboard-based adaptation module. The existance of these components are derived from the utilization of a CBR architecture. DEJAVU is the first step in developing a robust designer's assistant shell for mechanical design problems. One of the major contributions of DEJAVU is the development of a clean architecture for the utilization of case-based reasoning in a mechanical designer's assistant shell. In addition, the components of the architecture have been developed, tailored or modified from a general CBR context into a more synergistic relationship with mechanical design.

Hybrid similarity measure for retrieval in case-based reasoning systems and its applications for computer numerical control turret design

2016 ◽  
Vol 232 (5) ◽  
pp. 918-927 ◽  
Author(s):  
Haiqiao Wang ◽  
Beibei Sun ◽  
Xianfa Shen
Keyword(s):  
Similarity Measure ◽  
Computer Numerical Control ◽  
Structure Design ◽  
Numerical Control ◽  
Design Knowledge ◽  
Case Based Reasoning ◽  
Case Retrieval ◽  
Reasoning Systems ◽  
Global Similarity ◽  
Case Based

Analyzing the history of design is helpful in creating the computer numerical control turret design. Knowledge acquired from reasonably organizing and reusing designs may contribute to establishing computer numerical control turret design tasks. This article presents the results of our study on the representation and reuse of computer numerical control turret design knowledge and highlights the application of a case-based reasoning method in the structure design of a computer numerical control turret. The primary step in case-based reasoning systems is case retrieval where the similarity measure plays a significant role. The objective of this study is to develop a new method for a hybrid similarity measure with five formats of attribute values: crisp symbols, crisp numbers, fuzzy numbers, fuzzy linguistic variables, and fuzzy intervals. First, a hybrid similarity measure for a mixture of crisp and fuzzy sets is proposed for retrieving cases. Subsequently, a synthesis weight is formed through the combination of the subjective weight and objective weight. The calculation formula of the global similarity, which can retrieve the proper historical case, can be established by combining the hybrid similarity measure and the synthesis weight measure accordingly. Finally, the hybrid similarity measure and weight assignment method were applied in a computer numerical control turret conceptual design case-based reasoning system. The results showed that the global similarity of these five attribute types and the distribution of weight coefficients could improve the accuracy of case retrieval, which would help designers achieve the goal of rapid design.

A Case Retrieval Method in Case-Based Fixture Design

2012 ◽  
Vol 586 ◽  
pp. 282-287
Author(s):  
Yun He ◽  
Fa Ping Zhang ◽  
Zhan Chun Sun ◽  
Bo Gao ◽  
Juan Han
Keyword(s):  
Design Process ◽  
Design System ◽  
Design Knowledge ◽  
Fixture Design ◽  
Retrieval Method ◽  
Weighted Algorithm ◽  
Previous Design ◽  
Semantic Attribute ◽  
Cbd Method ◽  
Case Based

Most fixture design process are based on the reuse of the previous design knowledge and experience, in this paper, we use a case-based design (CBD) method to design fixture. Based on the analysis of various CBD methods, we found that most methods used to calculate the similarity between new part and cases are too single, so we put forward a method combining the semantic attribute similarity and the shape similarity together, use a weighted algorithm to calculate the similarity. Using this method, we designed a Fixture Design System on CATIA V5 R19, and use this system to retrieve and design fixture, the retrieved results are more close to the new part and reusable, the design process is more efficient.

An Ideation Framework for Service Process Improvement

2012 ◽  
pp. 191-227
Author(s):  
Maya Kaner ◽  
Reuven Karni
Keyword(s):  
Service Process ◽  
Case Based Reasoning ◽  
Process Redesign ◽  
Crucial Step ◽  
Road Map ◽  
Current State ◽  
Successful Design ◽  
New Ideas ◽  
Improvement Methodologies ◽  
Case Based

Service delivery processes play a key role in the competitiveness of modern organizations. Their effectiveness and efficiency are a consequence of successful design of new processes and improvement of existing processes. Improvement methodologies commonly focus on generic steps serving as a road map for moving a process from its current state along a guided path to better performance. However, these methodologies ignore the crucial step of methods for modifying processes, which often necessitate the generation of new improvement alternatives; generally based on “randomized” brainstorming rather than on systematic triggering of new ideas and reusing past improvements. The authors’ framework comprises and integrates 21 goal determinants to be achieved through process redesign, 32 best practices describing possible process modifications, 40 TRIZ inventive principles for generating new improvement ideas, and case-based reasoning (CBR) for retaining and reusing past improvements. This paper illustrates the application of the proposed methodology using an example of an inbound telesales process.

scholarly journals The 2016 Computational Analogy Workshop at ICCBR

AI Magazine ◽  
2017 ◽  
Vol 38 (4) ◽  
pp. 91-92
Author(s):  
Joseph Blass ◽  
Tesca Fitzgerald
Keyword(s):  
Incomplete Information ◽  
Cognitive Processes ◽  
Real World ◽  
Structural Alignment ◽  
Case Based Reasoning ◽  
Related Research ◽  
Research Areas ◽  
New Ideas ◽  
Case Based ◽  
Real World Problems

Computational analogy and case-based reasoning (CBR) are closely related research areas. Both employ prior cases to reason in complex situations with incomplete information. Analogy research often focuses on modeling human cognitive processes, the structural alignment between a base/source and target, and adaptation/abstraction of the analogical source content. While CBR research also deals with alignment and adaptation, the field tends to focus more on retrieval, case-base maintenance, and pragmatic solutions to real-world problems. However, despite their obvious overlap in research goals and approaches, cross communication and collaboration between these areas has been progressively diminishing. CBR and computational analogy researchers stand to benefit greatly from increased exposure to each other's work and greater cross-pollination of ideas. The objective of this workshop is to promote such communication by bringing together researchers from the two areas, to foster new collaborative endeavors, to stimulate new ideas and avoid reinventing old ones.

scholarly journals Case-based design: A review and analysis of building design applications

1997 ◽  
Vol 11 (1) ◽  
pp. 59-87 ◽  
Author(s):  
Ian Watson ◽  
Srinath Perera
Keyword(s):  
Process Design ◽  
Ethical Issues ◽  
Building Design ◽  
Detailed Comparison ◽  
Case Based Reasoning ◽  
Case Representation ◽  
Previous Design ◽  
Design Solutions ◽  
Legal And Ethical Issues ◽  
Case Based

AbstractThis paper presents a review of CBD and its application to building design in particular. Case-based design is the application of case-based reasoning to the design process. Design maps well to case-based reasoning because designers use parts of previous design solutions in developing new design solutions. This paper identifies problems of case representation, retrieval, adaptation, presentation, and case-based maintenance along with creativity, legal, and ethical issues that need to be addressed by CBD systems. It provides a comprehensive review of CBD systems developed for building design and provides a detailed comparison of the CBD systems reviewed.

A study in applying case-based reasoning to engineering design: Mechanical bearing design

2003 ◽  
Vol 17 (3) ◽  
pp. 235-252 ◽  
Author(s):  
XIAOLI QIN ◽  
WILLIAM C. REGLI
Keyword(s):  
Engineering Design ◽  
Constraint Satisfaction ◽  
Engineering Problem ◽  
Problem Definition ◽  
Case Based Reasoning ◽  
Design Problems ◽  
Engineering Design Problems ◽  
Previous Design ◽  
Bearing Design ◽  
Case Based

Case-based reasoning (CBR) is a promising methodology for solving many complex engineering design problems. CBR employs past problem-solving experiences when solving new problems. This paper presents a case study of how to apply CBR to a specific engineering problem: mechanical bearing design. A system is developed that retrieves previous design cases from a case repository and uses adaptation techniques to modify them to satisfy the current problem requirements. The approach combines both parametric and constraint satisfaction adaptations. Parametric adaptation considers not only parameter substitution but also the interrelationships between the problem definition and its solution. Constraint satisfaction provides a method to globally check the design requirements to assess case adaptability. Currently, our system has been implemented and tested in the domain of rolling bearings. This work serves as a template for application of CBR techniques to realistic engineering problems.

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