Autobus

Samsonov, Pavel; Heller, Florian; Schöning, Johannes

doi:10.1145/3152832.3152846

Cited by 6 publications

References 19 publications

(20 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

Improving the Tourists’ Experience

Gonçalves

Ferreira

Campos

2019

IFIP Advances in Information and Communication Technology

View full text Add to dashboard Cite

The Internet of Things (IoT) is part of a new paradigm where it is possible to integrate every sensor to the Internet, allowing it to be even more immersive and pervasive. Mastering these technologies, such as pervasive and smart places, is a challenge, especially when the goal is to achieve a closer interaction between citizens and applications. The rapid development and exciting innovation create an opportunity to stimulate a variety of new tools for tourists. Taking into account the versatility of IoT sensors for different applications, in this position paper we outline our perspective of ambient intelligence in smart tourism.

show abstract

Improving the Tourists’ Experience

Gonçalves

Ferreira

Campos

2019

IFIP Advances in Information and Communication Technology

View full text Add to dashboard Cite

show abstract

Tourism Guidance Tracking and Safety Platform

Gonçalves

Martins

Ferreira

et al. 2020

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

View full text Add to dashboard Cite

Mobile Sensing for Wellbeing Estimation of Urban Green using Physiological Signals

Flutura

Seiderer

Aslan

et al. 2019

Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good

View full text Add to dashboard Cite

Designing for wellbeing and a better quality of life is a challenge due to individual differences and contextual influences. How a person feels may depend on inner-body and outerbody circumstances. Moreover, some places may foster while others hinder wellbeing. The objective of this paper is to identify typical patterns across characteristics of the urban environment, the user's self-reported wellbeing as well as physiological measures as indicators of wellbeing. To this end, we conducted a study with 7 participants in an urban environment covering different kinds of climate zones. In addition to multi-sensor data collection, participants were asked to provide location-specific experience samples with the help of off-the-shelf wrist accessories and a smartphone. The paper at hand presents classification results for the collected data. It furthermore analyzes the limitations of the approach and discusses the potential for future therapeutic applications that enhance the value of urban green by making use of sensory technologies. CCS CONCEPTS• Human-centered computing Ubiquitous and mobile computing systems and tools;

show abstract

Autobus

Cited by 6 publications

References 19 publications

Improving the Tourists’ Experience

Improving the Tourists’ Experience

Tourism Guidance Tracking and Safety Platform

Mobile Sensing for Wellbeing Estimation of Urban Green using Physiological Signals

Contact Info

Product

Resources

About