A method for automatic generation of fuzzy membership functions for mobile device’s characteristics based on Google Trends
Abstract: While creating a framework for adaptive mobile interfaces for m-learning applications we found that in order to ease the use of our framework we needed to present the mobile device characteristics to non-expert users in a easy to understand manner. Using fuzzy sets to represent the charact...
| Publicado en: | Computers in Human Behavior Vol. 29; no. 2; pp. 510 - 518 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
| Publicado: |
Elsevier B.V.
Mar2013
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=84645546&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 84645546 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 07475632 JC4 jtl: Computers in Human Behavior issn: 07475632 maglogo: N pubinfo: dt: Mar2013 vid: 29 iid: 2 pid: 2410 pub: Elsevier B.V. artinfo: ui: 84645546 10.1016/j.chb.2012.06.005 ppf: 510 ppct: 8 formats: tig: atl: A method for automatic generation of fuzzy membership functions for mobile device’s characteristics based on Google Trends aug: au: Almeida, Aitor Orduña, Pablo Castillejo, Eduardo López-de-Ipiña, Diego Sacristán, Marcos affil: Deusto Institute of Technology – DeustoTech, University of Deusto, Bilbao, Spain Treelogic, Llanera, Spain su: Educational technology Economics Mobile communication systems Mobile learning Educational technology research Fuzzy sets Algorithm research Algorithms Wireless communications sug: subj: Educational technology Economics Wireless Telecommunications Carriers (except Satellite) Radio and Television Broadcasting and Wireless Communications Equipment Manufacturing Mobile communication systems Mobile learning Educational technology research Fuzzy sets Algorithm research Algorithms Wireless communications keyword: Characterization Fuzzy Google Trends Membership functions Mobile devices Characterization Fuzzy Google Trends Membership functions Mobile devices ab: Abstract: While creating a framework for adaptive mobile interfaces for m-learning applications we found that in order to ease the use of our framework we needed to present the mobile device characteristics to non-expert users in a easy to understand manner. Using fuzzy sets to represent the characteristics of mobile devices, non-expert developers such as teachers or instructional designers can actively participate in the development or adaptation of the educational tools. To be able to automatically generate the fuzzy membership functions of the sets we needed the data of the mobile device market, regrettably this information is not publicly available. To tackle this problem we have developed a method to estimate the market share of each mobile device based on the popularity metrics recovered from Google Trends and then we use that estimated value as the input to generate the fuzzy set of each characteristic. The proposed method allows us to not only model the state of the market in different periods of time, but also to localize the results to adapt them to the mobile market of specific countries. In this paper we will describe the proposed algorithm and we will discuss the obtained results. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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