The tracking of tourist movements is an essential aspect in the management of sustainable tourist destinations. The current information and communication technologies provide innovative ways of collecting data on tourist movements, but it is still necessary to evaluate tools and methods of study for this challenge. At this point, mobile technologies are the best candidate for this task. Given the relevance of the topic, this paper proposes a mapping science analysis of publications on "movement of tourists" and "traceability." It has been carried out in the two main sources WOS and SCOPUS. The term "traceability" is brought from industry and technology areas to be applied to the tourist movement/mobility tracking and management. The methodological scheme is based on a selection of search criteria with combinations of terms. The sources of specialized information in applied social sciences and technology were then selected. From there, the searches have been executed for their subsequent analysis in three stages-(I) relevance analysis filtering the results to obtain the most pertinent; (II) analysis of articles with similarity thematic, authors, journals or citations; (III) analysis of selected papers as input for the mapping analysis using Citespace. The automatic naming of clusters under the selected processing confirms that the analysis of movements is a valid scientific trend but research-oriented from the perspective of traceability is non-existent, so this approach is novel and complementary to existing ones and a potential contribution to knowledge about tourist movements. Finally, a set of methodological considerations and a classification of information capture tools are proposed. In this classification, mobile technology is the best option to enable tourist movement analysis.

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This demo presents the design of the NFC Interactive Panel. This is a touchable surface with which mobile phones can interact. The surface represents a display for interactive and adaptive information controlled by people using NFC (Near Field Communication) enabled phones. The mobile phone is used to touch the surface selecting the different items displayed on it.

The collection of physiological data from people has been facilitated due to the mass use of cheap wearable devices. Although the accuracy is low compared to specialized healthcare devices, these can be widely applied in other contexts. This study proposes the architecture for a tourist experiences recommender system (TERS) based on the user’s emotional states who wear these devices. The issue lies in detecting emotion from Heart Rate (HR) measurements obtained from these wearables. Unlike most state-of-the-art studies, which have elicited emotions in controlled experiments and with high-accuracy sensors, this research’s challenge consisted of emotion recognition (ER) in the daily life context of users based on the gathering of HR data. Furthermore, an objective was to generate the tourist recommendation considering the emotional state of the device wearer. The method used comprises three main phases: The first was the collection of HR measurements and labeling emotions through mobile applications. The second was emotional detection using deep learning algorithms. The final phase was the design and validation of the TERS-ER. In this way, a dataset of HR measurements labeled with emotions was obtained as results. Among the different algorithms tested for ER, the hybrid model of Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks had promising results. Moreover, concerning TERS, Collaborative Filtering (CF) using CNN showed better performance.

<p>La publicidad ha sido durante años una de las herramientas más valiosas del mercadeo a través de un enfoque principalmente masivo, generalizado y vertical entre clientes y anunciantes. No obstante, una nueva corriente conocida como publicidad ubicua marca una evolución en el concepto clásico hacia entornos más interactivos, personalizados y horizontales que busca mejorar la eficiencia y el impacto de la publicidad convencional. Gracias al apoyo de tecnologías emergentes que se sustentan en la evolución de los <em>smartphones</em> y los <em>smart TV</em>, el potencial de la publicidad ubicua es indudable, lo cual la ha convertido en un terreno fértil de investigación. El presente artículo presenta un modelo conceptual que condensa las áreas de investigación más relevantes relacionadas con el despliegue de publicidad en entornos de computación ubicua soportados en esquemas de cooperación <em>smart TV – smartphone</em>.</p>

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This paper presents the results of the application of four different tools (tourist card, questionarie, GPS and NFC) with the objective to study the movement of tourists in a tourist historic city (Popayán, Colombia). Given the need for these types of cities to manage tourism in a sustainable way, and considering that the management of tourist flows is a key aspect to achieve this, the aim was to find out which of the tools applied provides more precise data on the movement of tourists in the destination. For this, information was collected on the movement of tourists with four different tools, applying each tool in four different years (2011, 2012, 2013 and 2015) during the same time period (Holy Week). For the analysis of tourist movements, the Markov chain was obtained for each period. In order to study the generation of routes geo-location was used in each case. The results show that even though GPS technology provided more information on the visited places, NFC technology facilitates more extensive information. In addition, NFC technology allowed the extraction of important information about the places visited, showing a wide number of sites visited and, therefore, providing greater value for the study. Finally, the results of the study provide a better understanding of how destination management organizations could develop more suitable alternatives of the customer services systems, the delivery of tourist information and the identification of sites with heavy use. Conclusively, this study helps to identify how to take better advantage of the marketing strategies through different tools that analyses tourism movements.

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