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Understanding Expectations of Different User Groups of a Sophisticated Fall Detection System

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Języki publikacji
EN
Abstrakty
EN
The evaluation in technical invention is important because it tests functionality of the intervention and it forms an overall point of view of a user. This study aims to introduce an approach for collecting user expectations with Q methodology in Safe Private Home for Elderly Persons (CARE), which is a new development in ambient assisted living. CARE is a sophisticated fall detection system used in elderly homes to monitor elderly people and the staff. Expectations of elderly people and the staff were collected with Q sorting. Requirements of examined groups were explored successfully on the basis of the sorting and the differences in their opinions were appointed.
Rocznik
Strony
227--238
Opis fizyczny
Bibliogr. 9 poz., rys., tab.
Twórcy
autor
  • Department of Ergonomics and Psychology, Budapest University of Technology and Economics, Budapest, Hungary
Bibliografia
  • 1.Barbosa JC, Willoughby P, Rosenberg CA, Mrtek RG. Statistical methodology: VII. Q-Methodology, a structural analytic approach to medical subjectivity. Acad Emerg Med. 1998;5(10):1032–40.
  • 2.Ramlo SE, McConnell D, Duan ZH, Moore FB. Evaluating an inquiry-based bioinformatics course using Q methodology. J Sci Educ Technol. 2008;17(3):219–25.
  • 3.Davies BB, Hodge ID. Exploring environmental perspectives in lowland agriculture: a Q methodology study in East Anglia, UK. Ecol Econ. 2007;61(2–3):323–33.
  • 4.Talbott AD. Q technique and its methodology: a brief introduction and consideration [unpublished presentation]. The Use of Q Methodology for Research in Educational Administration Symposium. 1971.
  • 5.Militello M, Benham MKP. “Sorting out” collective leadership: how Q-methodology can be used to evaluate leadership development. Leadersh Q. 2010;21(4):620–32.
  • 6.Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions. Ageing well in the information society—an i2010 initiative—action plan on information and communication technologies and ageing. 2007. Retrieved April 3, 2014, from: http:// eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=CELEX:52007DC0332:EN:HTML.
  • 7.Block J. The Q-sort method in personality assessment and psychiatric research, American Lecture Series. Springfield, IL, USA: Charles C. Thomas; 1961. Retrieved April 3, 2014, from: http://www.abegs.org/sites/Research/DocLib1/%D8%A3%D8%AC%D9%86%D8%A8%D9%8A%D8%A9/The%20Q-Sort%20Method%20in%20Personality%20Assessment%20and%20Psychiatric%20Research.pdf.
  • 8.Cools M, Moons E, Janssens B, Wets G. Shifting towards environment-friendly modes: profiling travelers using Q-methodology. Transportation. 2009;36(4):437–53.
  • 9.Ketskeméty L, Izsó L, Könyves-Tóth E. Introduction to IBM statistics. Budapest, Hungary: Arteria Studio; 2011. In Hungarian.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a90d8297-0db0-4f2b-a2d9-243b5b3dcdf1
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