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- 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.
- To Binge or not To Binge: viewers’ moods and behaviors during the consumption of subscribed video streamingPublication . Cabral, Diogo; Castro, Deborah; Rigby, Jacob M.; Vasanth, Harry; Cameirão, Mónica S.; Bermúdez i Badia, Sergi; Nisi, ValentinaThe popularity of internet-distributed TV entertainment services, such as Netflix, has transformed TV consumption behavior. Currently, the level of control viewers have over their TV experiences, along with the release of com plete seasons at once, are some of the factors that stimulate the so-called binge watching phenomenon (the consumption of several episodes of a program in a single sitting). Most of binge-watching studies have focused on viewers’ habits and health effects. This paper presents a study that relates to viewers’ behaviors and moods. It was carried out with 13 young participants at their home, watching online content, collecting physiological, inertial, and self-reported data. We iden tify and compare binge-watching with non-binge-watching behaviors. Our results suggest that while viewers recur to online serial entertainment in pursuit of lei sure related needs, such as relaxation, relief from boredom and escapism, the act of binge-watching tends to make them feel rather unsatisfied with no change in Arousal. Nevertheless, in binge-watching the Positive Affect increases while the Negative decreases. Moreover, watching a single episode only, tends to result in increased arousal and but not necessarily in increased satisfaction. This prelimi nary finding can be the starting point of fruitful future investigations on unpack ing further motives and nuances from this outcome.
- 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.
- Designing with teenagers: A teenage perspective on enhancing mobile museum experiencesPublication . Cesário, Vanessa; Nisi, ValentinaTeenagers are an understudied group within the Interaction Design and Children community. Museums and cultural heritage spaces offer solutions for young children but none that are specifically targeted to teenagers. The active involvement of teenagers in the design of interactive technologies for museums is lacking further development. This paper centres on the presentation and discussion of several design sessions deployed with 155 teenage participants aged 15-19. They were asked to ideate a mobile museum experience that they would enjoy. Through qualitative analysis, the disparities in suggestions about story-based apps vs. game-based apps show that teenagers might value gamification over narratives. This work generates design recommendations for mobile museum tour guides for teenagers, to be used by both curators and museum designers in engaging teenagers in museum exhibitions. We also contrast the game and narrative mechanics produced by teenagers with what is already known. Finally, we answer the questions of how these findings align with existing museum guides for teenagers and how other designers can design with teenagers for this domain.
- Exploring proximity-based recommendation criteria as a tool for information exchange and interactions between locals and touristsPublication . Ceccarini, Chiara; Nisi, Valentina; Prandi, CatiaSharing economy and contemporary tourism are two emerging concepts that urge to be investigated together with new ubiquitous and immersive technologies, in the tourism and hospitality sector. In this rich scenario, we designed and implemented ShareCities, a plat form to foster remote direct information exchange and meaningful interactions among tourists and locals. Exploiting ShareCities we here present an extended analysis on the opportunity to use people-to-people recommendation criteria based on proximity. We hence defined three criteria which drove our analysis: i) profile similarity, ii) geographical proxim ity, and iii) random exploration. Through an online questionnaire, we collect answers from 126 young-adult students, obtaining a general positive interest in the three criteria but also concerns in terms of privacy, trust, and feeling of disorientation.