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- Object modeling for user-centered development and user interface design: the wisdom approachPublication . Nunes, Nuno Jardim
- 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.
- Understanding the limitations of eco-feedback: a one-year long-term studyPublication . Pereira, Lucas; Quintal, Filipe; Barreto, Mary; Nunes, Nuno J.For the last couple of decades the world has been witnessing a change in habits of energy consumption in domestic environments, with elec tricity emerging as the main source of energy consumed. The effects of these changes in our eco-system are hard to assess, therefore encouraging researchers from different fields to conduct studies with the goal of understanding and im proving perceptions and behaviors regarding household energy consumption. While several of these studies report success in increasing awareness, most of them are limited to short periods of time, thus resulting in a reduced knowledge of how householders will behave in the long-term. In this paper we attempt to reduce this gap presenting a long-term study on household electricity consump tion. We deployed a real-time non-intrusive energy monitoring and eco feedback system in 12 families during 52 weeks. Results show an increased awareness regarding electricity consumption despite a significant decrease in interactions with the eco-feedback system over time. We conclude that after one year of deployment of eco-feedback it was not possible to see any significant increase or decrease in the household consumption. Our results also confirm that consumption is tightly coupled with independent variables like the house hold size and the income-level of the families.
- DreamScope Catcher: a Touch Sensitive Interface to Catch DreamsPublication . Dionisio, Mara; Bala, Paulo; Trindade, Rui; Nisi, Valentina; Nunes, Nuno JardimDream Scope is the interactive, stand alone, self contained portion of a bigger Art installation named Lucid Peninsula. The goal of the installation is to offer a way for people to experience the future through a physical interactive installation. To achieve this aim we designed and developed the interactive DreamScope device, while the Time’s Up collective designed and built the physical installation. On one side with the DreamViewer binoculars enable participants to see the Lucid Peninsula fictional world and absorb data relating to factors such as air quality, presence of plant and other life forms, etc. On the other side of the installation, the audience will be able to borrow mobile devices (DreamCatchers) and ‘catch’ the dreams of the inhabitants of the peninsula, which are mixed with memories of the world before it was transformed.
- Towards using Low-Cost Opportunistic Energy Sensing for Promoting Energy ConservationPublication . Nunes, Nuno J.; Pereira, Lucas; Nisi, ValentinaThis position paper discusses how to leverage low-cost energy sensing to opportunistically develop activity-based approaches to energy conservation. Based on our extensive experience developing low-cost sensing infrastructures and long term deployment of ecofeedback systems, we discuss the possibility of unobtrusively inferring domestic activities from the overall aggregated energy consumption of households. We then postulate how the combination of this information with daily household activities could lead to more effective and meaningful ways to re-aggregate residential energy consumption for the purpose of ecofeedback. Here we briefly present a practical approach towards this new research direction that leverages HCI related methods, in particular using the day reconstruction method to provide semi-supervised approaches for automatic detection of household activities.
- 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.
- When the Elephant Trumps": A Comparative Study on Spatial Audio for Orientation in 360◦ VideosPublication . Bala, Paulo; Masu, Raul; Nisi, Valentina; Nunes, NunoOrientation is an emerging issue in cinematic Virtual Reality (VR), as viewers may fail in locating points of interest. Recent strategies to tackle this research problem have investigated the role of cues, specifically diegetic sound effects. In this paper, we examine the use of sound spatialization for orien tation purposes, namely by studying different spatialization conditions ("none", "partial", and "full" spatial manipulation) of multitrack soundtracks. We performed a between-subject mixed-methods study with 36 participants, aided by Cue Control, a tool we developed for dynamic spatial sound edit ing and data collection/analysis. Based on existing literature on orientation cues in 360◦ and theories on human listening, we discuss situations in which the spatialization was more ef fective (namely, "full" spatial manipulation both when using only music and when combining music and diegetic effects), and how this can be used by creators of 360◦ videos.
- 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.
- 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.
- What-a-Watt: exploring electricity production literacy through a long term eco-feedback studyPublication . Quintal, Filipe; Pereira, Lucas; Nunes, Nuno J.; Nisi, ValentinaThis paper presents the design, implementation and evaluation of an eco-feedback system capable of providing detailed household consumption information and also real-time production breakdown per energy source. We build on recent studies reporting an increased awareness generated by eco feedback systems that also integrate micro-production information, taking advantage of a closed grid production network on an island with a high concentration of renewables, we deployed the What-a-Watt system in a building with 9 households for a period of 34 consecutive weeks. Results show that all the participating families have shown increased awareness of the production and distribution of electricity, thus becoming more familiarized with concepts such as the different sources of energy and how their availability relates to external variables such as weather conditions and time of day. Furthermore, our results also show, that the families using our system have managed to reduce their overall consumption. This research is a first attempt to provide more effective eco-feedback systems to consumers by integrating complex Smartgrid information in the feedback.
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