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   <dc:title>Requirement Engineering Activities in Smart Environments for Large Facilities</dc:title>
   <dc:creator>Gómez Sanz, Jorge Jesús</dc:creator>
   <dc:creator>Pax Sánchez, Rafael</dc:creator>
   <dc:creator>Arroyo Menéndez, Millan</dc:creator>
   <dc:creator>Cárdenas Bonett, Marlon</dc:creator>
   <dc:subject>Crowd simulation</dc:subject>
   <dc:subject>Applied social sciences</dc:subject>
   <dc:subject>Ambient intelligence</dc:subject>
   <dc:subject>Multidisciplinary development</dc:subject>
   <dc:subject>Inteligencia artificial (Informática)</dc:subject>
   <dc:subject>Investigación social</dc:subject>
   <dc:subject>1203.04 Inteligencia Artificial</dc:subject>
   <dc:description>Developing a large, but smart environment is a complex task that requires the collaboration of experts of different disciplines. How to successfully attain such collaboration is not a trivial matter. The paper illustrates the problem with a case study where the manager of the facility intends to influence pedestrians so that they choose a task that requires certain effort, e.g. using staircases, instead of the current one that requires less effort, e.g. using the elevator. Defining requirements for such scenarios requires a strong multidisciplinary collaboration which is not currently well supported. This paper contributes with an approach to provide non-technician experts with tools so that they can provide feedback on the requirements and verify them in a systematic way.</dc:description>
   <dc:description>Ministerio de Economía y Competitividad (MINECO)</dc:description>
   <dc:description>Comunidad de Madrid/EU Structural Funds FSE and FEDER.</dc:description>
   <dc:description>Depto. de Sociología: Metodología y Teoría</dc:description>
   <dc:description>Fac. de Ciencias Políticas y Sociología</dc:description>
   <dc:description>TRUE</dc:description>
   <dc:description>pub</dc:description>
   <dc:date>2023-06-17T22:27:53Z</dc:date>
   <dc:date>2023-06-17T22:27:53Z</dc:date>
   <dc:date>2017</dc:date>
   <dc:type>journal article</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14352/18532</dc:identifier>
   <dc:identifier>1820-0214</dc:identifier>
   <dc:identifier>10.2298/CSIS161015003G</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>(TIN2014-57028-R )</dc:relation>
   <dc:relation>MOSI-AGIL-CM (S2013/ICE-3019)</dc:relation>
   <dc:rights>open access</dc:rights>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>ComSIS Consortium</dc:publisher>
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