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003 AR-LpUFIB
005 20250311170453.0
008 230201s2018 xx o 000 0 eng d
024 8 _aDIF-M7766
_b7984
_zDIF007095
040 _aAR-LpUFIB
_bspa
_cAR-LpUFIB
100 1 _aGrigera, Julián
245 1 0 _aA mixed usability evaluation on a multi criteria group decision support system in agriculture
300 _a1 archivo (281,2 kB)
500 _aFormato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
520 _aDecision Support Systems (DSS) help users make decisions by organizing the decision-making process in stages, dealing with several input sources. In the agricultural context, these tools are becoming more important given the variety of data that producers face, market regulations and interaction of several actors with different backgrounds. Different DSS have existed for years, but their adoption is reportedly very low, being poor usability one of the most relevant factors. While there are surveys indicating this, we have not found usability evaluations on DSS with concrete results. In this work, we evaluated decision-making in the agricultural domain using a group DSS called GRUS. We present 3 different usability evaluations: a heuristic evaluation, a user test, and an automated diagnosis.
534 _aInteracción 2018. International Conference on Human Computer (19na : 2018 : Palma, España)
650 4 _aUSABILIDAD
650 4 _aINTERACCIÓN HOMBRE-COMPUTADORA
650 4 _aAGROINFORMÁTICA
653 _aagricultura
700 1 _aGarrido, Alejandra
700 1 _aZaraté, Pascale
700 1 _aCamilleri, Guy
700 1 _aFernández, Alejandro
856 4 0 _uhttp://dx.doi.org/10.1145/3233824.3233852
942 _cCP
999 _c56870
_d56870