Ma$$iv -- An Intelligent Mobile Grocery Assistant

Autor:	Patrik Floréen, Teemu Pulkkinen, Andreas Forsblom, Sourav Bhattacharya, Antti Salovaara, Petri Myllymäki, Petteri Nurmi, Samuli Hemminki
Rok vydání:	2012
Předmět:	Association rule learning Multimedia business.industry Process (engineering) Computer science User modeling Mobile computing computer.software_genre Human–computer interaction Server Location-based service Mobile telephony business computer Natural language
Zdroj:	Intelligent Environments Aalto University
DOI:	10.1109/ie.2012.21
Popis:	We present Ma$$iv, an intelligent mobile grocery assistant that provides support for the customer during the entire shopping process. To guide the design of Ma$$iv, we conducted a user study that explored customer preferences regarding features in a mobile grocery aid. We first describe the study and its results, after which we introduce the design principles and design of Ma$$iv. We also describe the features that Ma$$iv supports and discuss functionalities that we are integrating into Ma$$iv. As part of the discussion, we describe technical challenges that we have encountered during our development efforts.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d33398882b559b0888c8b16f3a2ef089 https://doi.org/10.1109/ie.2012.21 Zobrazit plný text záznamu