Determination of optimal product styles by ordinal logistic regression versus conjoint analysis for kitchen faucets

Date

2009-09-01

Author

Demirtas, Ezgi Aktar
ANAGÜN, AHMET SERMET
Köksal, Gülser

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

118
views

0
downloads

In this study, a two-stage integrated approach is proposed and implemented to explore user perceptions about kitchen faucet styles and to find optimal levels of design parameters related to product appearance. At the first stage, a group of representative users have been asked to judge 38 systematically selected different faucet designs by using a semantic differential (SD) scale for 11 image (kansei) words about their visual perceptions. Then the relations between overall preference and kansei word scores of users are investigated by Ordinal Logistic Regression (OLOGREG). The model obtained helps understand how customers describe highly preferred designs. It can also be used to confirm if a product design will be highly preferred. At the second stage, the relations between overall preference scores and design parameter levels related to the product appearance are modeled using again OLOGREG,and then the best design parameter levels for visual perceptions are found by maximizing the overall preference scores. The results are confirmed and discussed. They are also compared to those of a commonly used approach in the literature, Conjoint Analysis (CA). This comparison has showed that the OLOGREG approach is superior to traditional CA. Finally, it is discussed how the product style design optimization approach presented and demonstrated in this study for the case of some kitchen faucets can be used in general for other products.

Subject Keywords

Public Health, Environmental and Occupational Health, Human Factors and Ergonomics

URI

https://hdl.handle.net/11511/36275

Journal

INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS

DOI

https://doi.org/10.1016/j.ergon.2009.06.007

Collections

Department of Industrial Engineering, Article

Suggestions

OpenMETU
Core

Rapid LC and LC/MS for routine analysis of mycotoxins in foods Senyuva, H.; Gilbert, J.; Özcan Kabasakal, Süreyya; Gurel, N. (Wageningen Academic Publishers, 2008-08-01) Affinity column clean-up of food samples for mycotoxin analysis produces extracts which are free of co-extractives and therefore require little chromatography for separation and quantification of the target analytes. Using such clean extracts, we report rapid chromatographic methods for aflatoxins B(1), B(2), G(1) and G(2), aflatoxin M(1), ochratoxin A, zearalenone and fumonisins. Using short columns with small particle size packing, HPLC conditions have been developed reducing analysis time typically by 75...
A review on modeling and simulation of quenching Şimşir, Caner; Gür, Cemil Hakan (ASTM International, 2009-02-01) Modeling and simulation of quenching are powerful tools in the design, optimization, and understanding of the quenching process since they provide quantitative results such as the evolution of microstructure and the internal stresses, which are practically impossible to acquire experimentally. The research on simulation of quenching and related phenomena originates from the early 70s and is still an active field owing to its industrial and scientific output. This paper aims to provide a comprehensive review...
An Adjusted Recommendation List Size Approach for Users' Multiple Item Preferences Peker, Serhat; Koçyiğit, Altan (2016-09-10) This paper describes the design and implementation of a novel approach to dynamically adjust the recommendation list size for multiple preferences of a user. By considering users' earlier preferences, machine learning techniques are employed to estimate the optimal recommendation list size according to current conditions of users. The proposed approach has been evaluated on real-life data from grocery shopping domain by conducting a series of experiments. The results show that the proposed approach achieves...
Ergonomics And Universal Design In Interior Architecture Education Olguntürk, Nilgün; Demirkan, Halime (Middle East Technical University, Faculty of Architecture, 2009-12-15) The focus of this article is on the application of Human Factors and Ergonomics (HFE) principles on design process. Designers begin acquiring HFE principles and data during their university education. Universal Design (UD) approaches HFE as incorporating the whole of the population rather than a certain percent. This study explores the effectiveness of a specially designed course on UD in an interior architecture undergraduate program. After completion of the course, students were asked to evaluate their le...
Immobilization of fluorescent bacterial bioreporter for arsenic detection ELÇİN, EVRİM; Öktem, Hüseyin Avni (Springer Science and Business Media LLC, 2020-06-01) Whole-cell bacterial biosensors hold great promise as a practical complementary approach for in-field detection of arsenic. Although there are various bacterial bioreporter systems for arsenic detection, fewer studies reported the immobilization of arsenic bioreporters. This study aimed at determining immobilization of specific bacterial bioreporter in agar and alginate biopolymers to measure level of arsenite and/or arsenate. To achieve sensitive detection, immobilization parameters of polymer concentratio...

Citation Formats

E. A. Demirtas, A. S. ANAGÜN, and G. Köksal, “Determination of optimal product styles by ordinal logistic regression versus conjoint analysis for kitchen faucets,” INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, pp. 866–875, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/36275.