Validation of evaluation model and evaluation indicators comprised Kansei Engineering and eye movement with EEG: an example of medical nursing bed

Abstract

The study is to innovate an evaluation model of medical nursing bed and verify indicators by triangulation of subjective feelings, eye movement and electroencephalography (EEG). The underlying theory is Kansei Engineering that is the technology to measure and transform consumers' perceptions of products into design elements. Kansei Engineering comprises external physiological sensory measurement and intrinsic psychological susceptibility measurement. The evaluation of medical nursing bed should measure subjective and objective data. The current evaluation method of medical nursing bed is very subjective and cannot be tested objectively. It is rationale to apply Kansei Engineering in medical nursing bed evaluation comprised subjective feelings and eye movement with electroencephalography. The methodology is the experimental research in which four design proposals of medical nursing bed were compared by 20 participants. Data collection adopted Tobii X2 eye tracker and NeurOne EEG recording system except subjective feelings. D-lab, ERGO-LAB, and EEGLAB was applied to process data of eye movement and EEG. Correlation of triangulation was analyzed for criterion-related validity. Cronbach's Alpha was used as a measure of internal consistency for reliability. Findings indicated design proposal 2 contained a rounded rectangular and line surface organically combined was optimal. Triangulation was supported as indicators for more objective and persuasive evaluation of medical nursing beds. Implications for practice will be applied in NCC Medical Co.

New Product Development Method Trends and Future Research

“…The obtained results can be used to determine the size, shape, features, style, and color of the desired product. Papers that reported the use of Kansei Engineering include [22,30,31,32,33,34,35,36,37].…”

“…KE was used by 14 papers that used KE in their studies. Papers that used KE such as [13,14,18,23,28,29,30,31,32,33,34,35,36,37]. Only four papers from the 14 papers have a case study that implemented the KE method.…”

“…Product Design in this category from the 50 selected paper in Table 2 we could summarize in the following categories such as Mechanical product (medical nursing bed [30], Thai ceramics [32], Bottle design [34], Mazu Crowned design [35], real estate preference [19], open molding manufacturing [47], dishwasher [42], airplane tale [8], sneakers [22], construction technology [24], medical infusion [25], semiconductor [36], aquatic robotic gripper [26], and Product Services (banking service [48], door to door delivery service [12], innovation research center [23], real estate preference [19], railway catering service [40]). We can use NPD tools such as Kansei Engineering, TRIZ, and Axiomatic Design for mechanical products.…”

The Use of Mathematical Analysis in the Nursing Bed Design Evaluation

“…Subjective factors are major contributors in this evaluation method; it is impossible to determine whether the obtained evaluation is a true evaluation. Therefore, in a previous article, a triangular verification method, by combining subjective evaluation, electroencephalogram (EEG) data, and eye movement data, was proposed for a more convincing evaluation method [18].…”

Identifying opportunities for educators to pursue collaboration at the interface of nursing and engineering – and a word of caution

“…The most highly cited article in this group was titled, ‘A human factors engineering conceptual framework of nursing workload and patient safety in intensive care units’ (Carayon & Gurses, ). Other examples of articles in this group mentioned ‘systems engineering’ to improve nursing management (Cui et al, ) or the use of ‘clinical engineering’ (Arquilla & Cram ) or ‘Kansei engineering’ (Zhou, Cheng, Wei, & Lee, ) to improve technology designed to assist nurses in the performance of nursing care. We characterize these articles as interdisciplinary applications of best practices from the field of engineering to the field of nursing, and these articles focused upon professional practice and continuing education rather than pre‐service formative education.…”