Title :
Functional and emotional dimensions: Method to measure through data collection instruments for new products in healthcare
Author :
Zenni Tanure, Raffaela Leane ; Flores Magnago, Patricia ; Soares Echeveste, Marcia Elisa
Author_Institution :
Ind. Eng. Dept., Fed. Univ. of Rio Grande do Sul, Porto Alegre, Brazil
fDate :
July 28 2013-Aug. 1 2013
Abstract :
The development of equipment for the healthcare industry requires systematic management as, according to the standard of usability for medical equipment IEC 62366:2010 (Application of Usability Engineering to Medical Devices), functional and non-functional data should be considered, in that order, aiming to develop safer and more effective products. However, non-functional requirements such as emotions caused to users and usability aspects have not been fully covered, as tests are usually conducted under the technical vision and not in the real environment in which devices will be used. In this context, it is essential to emphasize the importance of an evaluation that expands in two dimensions, seeking technological solutions that meet the conditions of field use (assessed by functional metrics) as well as the emotional aspects (measured by scale of emotions), concerning the usability of the product. This work aims to development a method to measure functional and emotional dimensions through data collection instruments by assessing users who are able to evaluate the dimensions of usability in medical equipment. The users are patients on dialysis and their nursing staff. Analyses suggested for future research include: descriptive analysis, factor analysis, clustering and MANOVA (Multivariate Analysis of Variance).
Keywords :
IEC standards; biomedical equipment; data acquisition; health care; patient care; pattern clustering; product development; statistical analysis; IEC 62366:2010; MANOVA; clustering; data collection instrument; descriptive analysis; emotional dimension; factor analysis; functional dimension; healthcare industry; medical equipment development; multivariate analysis of variance; new product development; nonfunctional requirement; nursing staff; Data collection; Hospitals; Instruments; Technological innovation; Technology management; Usability;
Conference_Titel :
Technology Management in the IT-Driven Services (PICMET), 2013 Proceedings of PICMET '13:
Conference_Location :
San Jose, CA