Delivering Green Persuasion Strategies with a Conversational Agent: a Pilot Study

Climate change is undeniable. The drastic consequences it may have on our lives make a collective effort crucial. Our research explores how Conversational Agents (CAs) can persuade people into environmentally sustainable behaviors, particularly in domestic spaces where these technologies are becoming increasingly popular. In this research work, we conducted an empirical evaluation (N=29) exploring the effectiveness and stance towards the adoption of different persuasive strategies compared to a CA delivering messages referring to just one persuasion strategy. Furthermore, this contribution reports on a custom dialogue manager's implementation, designed to enable the execution of the experiment. Although study results suggested no significant difference in persuasion effectiveness and usability of the conversational agents, participants reported a significant difference in the perceptions of parasocial interactions and dialogue with the CA, preferring the one delivering multiple persuasive strategies

Web extensions to UML: Using the MVC Triad

Abstract. Current Web Modelling Languages (WMLs) fall short of the requirements for the modelling of web system development. In particular, those WMLs with a hypermedia basis are more closely focussed on the information architecture whereas software system WMLs are more focussed on the functional architecture. Generally, modelling languages have failed to bridge the gap between these two areas. They also do not handle well the connection between different levels of abstraction and are largely unable to connect well with business models. Based on an analysis of existing modelling approaches, we propose a conceptual extension to modelling approaches that attempts to address these limitations. We show how it can implemented using UML modelling along with the addition of concepts taken from Web information modelling approaches, WebML in particular. The extensions are structured around the Model-View-Controller concept, which we argue provides an appropriate integrating modelling framework. We begin by discussing the scope and objectives of the extensions, followed by a description of the extensions themselves. We then illustrate the extensions by showing their application to a small case study.

MagicMuseum: Team-based Experiences in Interactive Smart Spaces for Cultural Heritage Education

MagicMuseum is a set of team-based, immersive, full-body activities for Cultural Heritage Education of primary school children. MagicMuseum exploits the interactive and multisensory capability of the Magic Room, an indoor smart space equipped with IoT-enriched components such as floor and wall projections, smart lighting, music and sound, motion and gesture sensors, and smart objects. The paper describes MagicMuseum and briefly reports an exploratory study involving 22 children at a local primary school

MCTK: a Multi-modal Conversational Troubleshooting Kit for supporting users in web applications

Conversational Interfaces for user assistance are becoming persuasive. Today, though, most chatbots are not integrated into the application in which they are placed, but only superimposed, with no communication between the conversational and the graphical interface. We propose Multi-modal Conversational Troubleshooting Kit (MCTK), a Python package to easily integrate a conversational agent for troubleshooting in web applications. MCTK is multi-modal: once the system recognizes the problem the user is encountering, the textual solution in the chat is coupled with visual hints in the GUI. On top of that, MCTK is easy to configure and offers separation of concerns: dialogue designers can work on the conversation without the necessity of modifying the code, and vice versa

Using HoloLens Mixed Reality to research correlations between language and movement: a case study

Communication can be defined as the understanding and exchanging of meaningful messages. The role of communication is central to the lives of human beings as, everyday, we use language to interact with the world around us. Linguistic skills play a fundamental role in this scenario and Language Disorders (LD) are impairments that limit the processing of linguistic information. Early and accurate identification of LD is thus essential to promote lifelong learning and well-being. From an evolutionary perspective, some human language constructs evolved from an ancestral motor system and share the same neural pathways in the Broca’s area of the brain. This suggests a correlation between action and language. If such a relationship is well established and reliable, it would be possible to use the former as a marker of the latter. The hypothesis of our work, in a nutshell, is that movement can be a predictor of language. To study this correlation, we developed C(H)o(L)ordination, a Mixed Reality (MR) application for HoloLens 2. The application offers several activities based on visual stimuli involving motor movements, which tap on the same skills needed to perform some language tasks. We performed an exploratory study with N=22 users to test the application usability and user experience. The results suggest that C(H)o(L)ordination is a usable and powerful tool to gather insights on the ongoing debate about language evolution and language disorders

Structuring specification in Z to build a unifying framework for hypertext systems

A report is given on work undertaken to produce a structured specification in Z of a model which aims to capture the essential abstractions of hypertext systems. The specification is presented in part and the potential value of this specification to the hypertext community is explored and discussed. We argue that this specification provides a framework for hypertext systems in that it provides: explicit and unambiguous definitions of hypertext terms, an explicit environment for the presentation, comparison and evaluation of hypertext systems and a foundation for future research and development in the field. Although there are many formal reference models of hypertext, we have found Z expressive enough to allow a unified account of a system and its operations. Our model does not restrict the specifier to any particular design, but provides a mathematical framework within which different models may be compared. Further, we were able to structure the specification in order that the model could be described initially at the highest level of abstract with complexity added at increasingly lower levels of abstraction. This structure

Fluid balance and urine volume are independent predictors of mortality in acute kidney injury.

INTRODUCTION: In ICUs, both fluid overload and oliguria are common complications associated with increased mortality among critically ill patients, particularly in acute kidney injury (AKI). Although fluid overload is an expected complication of oliguria, it remains unclear whether their effects on mortality are independent of each other. The aim of this study is to evaluate the impact of both fluid balance and urine volume on outcomes and determine whether they behave as independent predictors of mortality in adult ICU patients with AKI. METHODS: We performed a secondary analysis of data from a multicenter, prospective cohort study in 10 Italian ICUs. AKI was defined by renal sequential organ failure assessment (SOFA) score (creatinine >3.5 mg/dL or urine output (UO) <500 mL/d). Oliguria was defined as a UO <500 mL/d. Mean fluid balance (MFB) and mean urine volume (MUV) were calculated as the arithmetic mean of all daily values. Use of diuretics was noted daily. To assess the impact of MFB and MUV on mortality of AKI patients, multivariate analysis was performed by Cox regression. RESULTS: Of the 601 included patients, 132 had AKI during their ICU stay and the mortality in this group was 50\%. Non-surviving AKI patients had higher MFB (1.31 ± 1.24 versus 0.17 ± 0.72 L/day; P <0.001) and lower MUV (1.28 ± 0.90 versus 2.35 ± 0.98 L/day; P <0.001) as compared to survivors. In the multivariate analysis, MFB (adjusted hazard ratio (HR) 1.67 per L/day, 95\%CI 1.33 to 2.09; <0.001) and MUV (adjusted HR 0.47 per L/day, 95\%CI 0.33 to 0.67; <0.001) remained independent risk factors for 28-day mortality after adjustment for age, gender, diabetes, hypertension, diuretic use, non-renal SOFA and sepsis. Diuretic use was associated with better survival in this population (adjusted HR 0.25, 95\%CI 0.12 to 0.52; <0.001). CONCLUSIONS: In this multicenter ICU study, a higher fluid balance and a lower urine volume were both important factors associated with 28-day mortality of AKI patients