Currently, the museums use different interactive technologies to communicate their exhibitions; however, it turns out that in most cases, information is not accessible to all members of the public. In this paper, we present the design of a tangible user interface to enhance accessibility in geological exhibitions, specifically for the case of visitors with visual impairments, and we also present the study’s results about how to improve the experience of those who visit museums, using this tangible media technology as an exhibitor for samples. The results showed that the interaction with the interface pleased the visitors and that it has application space ithin geological exhibitions.
This study is aimed to model and forecast the tourism demand for Mozambique for
the period from January 2004 to December 2013 using artificial neural networks models. The
number of overnight stays in Hotels was used as representative of the tourism demand. A set
of independent variables were experimented in the input of the model, namely: Consumer
Price Index, Gross Domestic Product and Exchange Rates, of the outbound tourism markets,
South Africa, United State of America, Mozambique, Portugal and the United Kingdom. The best
model achieved has 6.5% for Mean Absolute Percentage Error and 0.696 for Pearson correlation
coefficient. A model like this with high accuracy of forecast is important for the economic
agents to know the future growth of this activity sector, as it is important for stakeholders to
provide products, services and infrastructures and for the hotels establishments to adequate
its level of capacity to the tourism demand.
