Autor:	Wataru Ohno, Hideyuki Fujita, Masatoshi Arikawa, Shin'ichi Konomi, Tomoyo Sasao, Kenta Shoji
Rok vydání:	2013
Předmět:	Work (electrical) Process (engineering) Computer science Context (language use) Crowding Data science Simulation
Zdroj:	UbiComp (Adjunct Publication)
DOI:	10.1145/2494091.2499218
Popis:	We describe our experiences with the prototype crowd sensing environments for supporting crowding detection and community fieldwork, and discuss the need to support sensing work in context. Sensing work is inseparable from the shifting observation modes in the overall inquiry process.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::df119e107cfcd4ea37b2682523af5ecc https://doi.org/10.1145/2494091.2499218 Zobrazit plný text záznamu