Browsing by Author "Ribeiro, Miguel"
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- Beanstalk: a community based passive wi-fi tracking system for analysing tourism dynamicsPublication . Nunes, Nuno; Ribeiro, Miguel; Prandi, Catia; Nisi, ValentinaThis paper presents Beanstalk, an interactive platform to assist communities in easily running systematic analysis of mobility patterns of tourists at their destinations, contributing in new ways in visualizing spatio-temporal mobility data for forecasting, tracking trends, detecting patterns and noticing anomalies. The approach takes advantage of a combination of passive Wi-Fi tracking and ground truth data provided by tourism authorities. By analyzing a large dataset for a medium sized European island, we provide evidence of the accuracy and effectiveness of this low-cost method in inferring topological characteristics of tourist behavior and relevant typologies of trip itineraries. This helps decision makers in the touristic sector to plan and manage actions geared towards improving the sustainability and competitiveness of their touristic regions. In particular, we argue that in a world where sensing data is becoming inexpensive, there is an opportunity to use this approach to deliver data back to local communities which are empowered to act and leverage this information.
- Enhancing sustainable mobility awareness by exploiting multi-sourced data: the case study of the Madeira islandsPublication . Prandi, Catia; Nunes, Nuno; Ribeiro, Miguel; Nisi, ValentinaIn this paper we present a low-cost infrastructure to collect a variety of location-based multi-sourced data with the aim of providing personalized services and raising awareness for sustainable mobility solutions. The gathered data can be used to provide: (i) citizens and tourists with personalized location-based services to increase sustainability awareness; (ii) local authorities and tourism boards with a tool to identify and prevent mobility issues; and (iii) transport companies with an instrument to support urban mobility planning decisions. To collect data, we exploited a low-cost Wi-Fi passive tracking system and we augmented this infrastructure using sensors for detecting environmental conditions. To achieve this, we provided 60 points of interest and 20 buses with our solution, to spread out the sensors over the entire Madeira Island. Using the gathered data, we developed different scenarios to prove that in a world where sensing data is becoming inexpensive, there are opportunities to use our approach to deliver data back to the citizens, empowering local communities, with the goal of promoting sustainable mobility and tourism.
- LoRaquatica: Studying Range and Location Estimation using LoRa and IoT in Aquatic SensingPublication . Radeta, Marko; Ribeiro, Miguel; Vasconcelos, Dinarte; Noronha, Hildegardo; Nunes, Nuno JardimWhile ubiquitous computing remains vastly applied in urban environments, their applications in ocean environment remain scarce due to the limitations in range and cost of current radio technology. This hinders environmental telemetry in the oceans and other remote areas. In this study, we explore the usage of IoT and Long Range Radio Communication (LoRa) in ocean environments. We study the maximum distance for LoRa and a potential location estimation based on the same technology using the passive RSSI analysis. Using three coastal based nodes and a node mounted on a sea vessel, we report a maximum range of 83.6km. We also achieve a location error within a radius of 3.4km (4% of maximum distance) in the sea. These results support marine biologist expeditions, allowing them to use low cost, long-lasting and easy to deploy solutions for tracking marine objects and species in open ocean, providing them data in near real-time. We discuss the findings from used models, outlining limitations, and providing a scenario for future ubiquitous IoT applications for tracking sea objects.
- LoRattle - An Exploratory Game with a Purpose Using LoRa and IoTPublication . Radeta, Marko; Ribeiro, Miguel; Vasconcelos, Dinarte; Nunes, Nuno JardimThe Internet of Things (IoT) is opening new possibilities for sensing, monitoring and actuating in urban environments. They sup port a shift to a hybrid network of humans and things collaborating in production, transmission and processing of data through low-cost and low power devices connected via long-range (LoRa) wide area networks (WAN). This paper describes a 2-player duel game based on IoT con trollers and LoRa radio communication protocol. Here we report on the main evaluation dimensions of this new design space for games, namely: (i) game usability (SUS) leading to an above average score; (ii) affective states of the players (SAM) depicting pleasant and engaging gameplay, while players retain control; (iii) radio coverage perception (RCP) show ing that most participants did not change their perception of the radio distance after playing. Finally, we discuss the findings and propose future interactive applications to take advantage of this design space.
- Modeling Adoption, Security, and Privacy of COVID-19 Apps: Findings and Recommendations From an Empirical Study Using the Unified Theory of Acceptance and Use of TechnologyPublication . Nunes, Nuno; Adamo, Greta; Ribeiro, Miguel; Gouveia, Bruna R.; Gouveia, Élvio Rúbio; Teixeira, Pedro; Nisi, ValentinaBackground: The global health crisis caused by COVID-19 has drastically changed human society in a relatively short time. However, this crisis has offered insights into the different roles that such a worldwide virus plays in the lives of people and how those have been affected, as well as eventually proposing new solutions. From the beginning of the pandemic, technology solutions have featured prominently in virus control and in the frame of reference for international travel, especially contact tracing and passenger locator applications. Objective: The objective of this paper is to study specific areas of technology acceptance and adoption following a unified theory of acceptance and use of technology (UTAUT) research model. Methods: We presented a research model based on UTAUT constructs to study the determinants for adoption of COVID-19–related apps using a questionnaire. We tested the model via confirmatory factor analysis (CFA) and structural equation modeling (SEM) using travelers’ data from an insular tourist region. Results: Our model explained 90.3% of the intention to use (N=9555) and showed an increased understanding of the vital role of safety, security, privacy, and trust in the usage intention of safety apps. Results also showed how the impact of COVID-19 is not a strong predictor of adoption, while age, education level, and social capital are essential moderators of behavioral intention. Conclusions: In terms of scientific impact, the results described here provide important insights and contributions not only for researchers but also for policy and decision makers by explaining the reasons behind the adoption and usage of apps designed for COVID-19.
- Passive Wi-Fi monitoring in the wild: a long-term study across multiple location typologiesPublication . Ribeiro, Miguel; Nunes, Nuno; Nisi, Valentina; Schöning, JohannesIn this paper, we present a systematic analysis of large-scale human mobility patterns obtained from a passive Wi-Fi tracking system, deployed across different location typologies. We have deployed a system to cover urban areas served by public transportation systems as well as very isolated and rural areas. Over 4 years, we collected 572 million data points from a total of 82 routers covering an area of 2.8 km2. In this paper we provide a systematic analysis of the data and discuss how our low-cost approach can be used to help communities and policymakers to make decisions to improve people’s mobility at high temporal and spatial resolution by inferring presence characteristics against several sources of ground truth. Also, we present an automatic classification technique that can identify location types based on collected data.
- SeaMote - Interactive Remotely Operated Apparatus for Aquatic ExpeditionsPublication . Radeta, Marko; Ribeiro, Miguel; Vasconcelos, Dinarte; Lopes, Jorge; Sousa, Michael; Monteiro, João; Nunes, Nuno JardimIoT has been widely adopted by HCI communities and citi zen scientists to sense and control the surrounding environments. While their applications are mostly reported in urban settings, they remain scarce in aquatic settings. Oceans are undergoing an immense increase of human generated pollution ranging from noise to marine litter, where current USV solutions to detect its impact on environment remain at high cost. In our study, we design a first low-cost, long-range, radio controlled USV, based on IoT and LoRa, intended to be used for aquatic expeditions collecting environmental telemetry. We gather temperature, humidity, GPS position, footage and provide a mobile interface for remote control ling the USV. With this pilot study, we provide an initial study of the suitable simplistic GUI for long-range remote sensing in aquatic setting. We discuss the findings and propose future applications and Internet of Water Things as future research direction.