Forecasting tool on a mobile device

  • Authors:
  • Olivier Mercier;Stephane Dupin;Cédric Ulmer;Johannes Demund

  • Affiliations:
  • SAP Labs France SAS, Mougins, France;SAP Labs France SAS, Mougins, France;SAP Labs France SAS, Mougins, France;SAP Labs France SAS, Mougins, France

  • Venue:
  • 23rd French Speaking Conference on Human-Computer Interaction
  • Year:
  • 2011

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Abstract

Within the domain of predictive analytics [7, 11], this paper presents a mobile application for data forecasting [9] and its corresponding user interface. Although forecasting tools already exist, none of them were available on mobile devices. With a focus on simplicity, we present the results of usability surveys, based on interactions assumptions we took. These interactions use current mobile best practices, mainly leveraging touch screens and multi-touch capacities. We also present performance results, and their impact and users perception. This paper illustrates this work through a use case on budget forecasting for a city mayor.