Smartphone Augmented Reality Applications for Tourism

Invisible, attentive and adaptive technologies that provide tourists with relevant services and information anytime and anywhere may no longer be a vision from the future. The new display paradigm, stemming from the synergy of new mobile devices, context-awareness and AR, has the potential to enhance tourists’ experiences and make them exceptional. However, effective and usable design is still in its infancy. In this publication we present an overview of current smartphone AR applications outlining tourism-related domain-specific design challenges. This study is part of an ongoing research project aiming at developing a better understanding of the design space for smartphone context-aware AR applications for tourists

Promoting slow tourism through FOSS4G Web Mapping: an Italian-Swiss case study

Slow tourism defines a sustainable way of experiencing a territory based on environmentally-friendly forms of transportation, the appreciation of nature and the rediscovery of local cultural traditions. Advancements in geo-information technology have opened new possibilities for promoting this practice. A slow tourism ongoing project focused on the cross-border area between Italy and Switzerland is presented. Several FOSS4G-based Web Mapping applications are developed which address different users and feature different functionalities. The applications include: a mobile app allowing tourists to report Points of Interest (POIs) along the paths; a mobile app enabling professionals to survey new paths; a traditional 2D Web viewer providing access to and interaction with the project data; an application offering a virtual tour along the paths; and a virtual-globe based 3D viewer with participative functionalities

Association Rule Mining Tourist-Attractive Destinations for the Sustainable Development of a Large Tourism Area in Hokkaido Using Wi-Fi Tracking Data

The rise of radiofrequency scanner technology has led to its potential application in the observation of people’s movements. This study used aWi-Fi scanner device to track tourists’ traveling behavior inHokkaido’s tourismarea,whichoccupies a large regionthat features auniquenatural landscape. Inbound tourists have significantly increased in recent years; thus, tourism’s sustainability is considered to be important formaintaining the tourismatmosphere in the long term. Using internet-enabled technology to conduct extensive area surveys can overcome the limitations imposed by conventional methods. This study aims to use digital footprint data to describe and understand traveler mobility in a large tourism area in Hokkaido. Association rule mining (ARM)—a machine learning methodology—was performed on a large dataset of transactions to identify the rules that link destinations visited by tourists. This process resulted in the discovery of traveling patterns that revealed the association rules between destinations, and the attractiveness of the destinations was scored on the basis of visiting frequency, with both inbound and outbound movements considered. A visualization method was used to illustrate the relationships between destinations and simplify the mathematical descriptions of traveler mobility in an attractive tourism area. Hence, mining the attractiveness of destinations in a large tourism area using an ARMmethod integrated with aWi-Fi mobility tracking approach can provide accurate information that forms a basis for developing sustainable destination management and tourism policies

Top-down neural attention by excitation backprop

We aim to model the top-down attention of a Convolutional Neural Network (CNN) classifier for generating task-specific attention maps. Inspired by a top-down human visual attention model, we propose a new backpropagation scheme, called Excitation Backprop, to pass along top-down signals downwards in the network hierarchy via a probabilistic Winner-Take-All process. Furthermore, we introduce the concept of contrastive attention to make the top-down attention maps more discriminative. In experiments, we demonstrate the accuracy and generalizability of our method in weakly supervised localization tasks on the MS COCO, PASCAL VOC07 and ImageNet datasets. The usefulness of our method is further validated in the text-to-region association task. On the Flickr30k Entities dataset, we achieve promising performance in phrase localization by leveraging the top-down attention of a CNN model that has been trained on weakly labeled web images.https://arxiv.org/abs/1608.00507Accepted manuscrip

Exploring narrativity in data visualization in journalism

Many news stories are based on data visualization, and storytelling with data has become a buzzword in journalism. But what exactly does storytelling with data mean? When does a data visualization tell a story? And what are narrative constituents in data visualization? This chapter first defines the key terms in this context: story, narrative, narrativity, showing and telling. Then, it sheds light on the various forms of narrativity in data visualization and, based on a corpus analysis of 73 data visualizations, describes the basic visual elements that constitute narrativity: the instance of a narrator, sequentiality, temporal dimension, and tellability. The paper concludes that understanding how data are transformed into visual stories is key to understanding how facts are shaped and communicated in society

Łódź Leisure Time Space as Perceived by Liceum Students and Members of the ‘Universities of the Third Age’

The article is a summary of research into the perception of leisure time space, conducted in 2014 among Liceum students (aged 16-19) and members of the ‘Universities of the Third Age’ (U3A) in Łódź. The author compared perceptions of the idea of leisure time by both of these groups, studied how they spent it and described the factors which have a significant influence. Next, he analysed different approaches to the urban space of Łódź as well as comparing them to the spatial range and the types of visited places and events

Take Part Prototype: Creating New Ways of Participation Through Augmented and Virtual Reality [in press]

Famous examples like the Amazon headquarter in New York City or the Stuttgart 21 train station demonstrate that construction projects are often subjects of common interest and can therefore produce protests if citizens feel unheard in urban planning. In this manuscript, we would therefore like to investigate whether e-participation can be used as a tool to foster citizen involvement in construction projects that are of public interest. To this end, we present a prototype that combines participation with augmented and virtual reality. While offering a source for a better understanding of construction processes, our prototype allows users to bring in their own design suggestions and discuss these with others. With this prototype paper, we thus want to demonstrate how augmented and virtual reality can lay the ground for innovative ways of political participation that would offer great potential for project initiators and citizens