1,721,081 research outputs found
Digital Twins in Human-Computer Interaction: A Systematic Review
No full textWith the spreading of Industry 4.0, cyber-physical systems, and tools for augmented and virtual reality, Digital Twin (DT) is gaining momentum in several areas of Computer Science and Engineering. This paper presents a systematic literature review that investigates the way DTs are described in Human-Computer Interaction (HCI) scientific literature. The study includes 23 papers selected through a systematic search on the 21 most ranked journals and conferences in the HCI area. As a result of this work, it appears clear that the way humans interact with DTs is a topic still far from being widely studied. A set of hints for future research about the relationship between HCI and DT constitute the main outcome of this paper
Routine Creation in Multi-User Contexts: Improving the Quality of Life through Conflict Resolution
Full text linkExploring the Reciprocal Influence of Artificial Intelligence and End-User Development
Full text linkThis paper explores the reciprocal influence between Artificial Intelligence (AI) features of modern systems and End-User Development (EUD) activities aimed at adapting systems’ behavior to users’ needs and preferences. To improve the quality of life of people who are called on to use AI-infused systems and customize them, new methods and techniques for EUD should be studied. EUD could be of help in exploiting AI algorithms to collect information about users and to offer them advanced interaction modalities. The paper explores these possibilities through the analysis of two application domains where the effective combination of AI and EUD might play a crucial role in the future
A Meta-Design Model for Creative Distributed Collaborative Design
No full textAs collaboration in creating software systems becomes more complex and frequent among multidisciplinary teams, finding new strategies to support this collaboration becomes crucial. The challenge is to bridge the communication gaps among stakeholders with diverse cultural and professional backgrounds. Moreover, future uses and issues cannot be completely anticipated at design time, and it is necessary to develop open-ended software environments that can be evolved and tailored in opportunistic ways to tackle co-evolution of users and systems. A conceptual meta-design model, the Hive-Mind Space (HMS) model, has been proposed to support multidisciplinary design teams' collaboration and foster their situated innovation. The model provides localized habitable environments for diverse stakeholders and tools for them to tailor the system, allowing the co-evolution of systems and practices. The authors explore the possibility of utilizing boundary objects within the HMS model to facilitate the communication amongst stakeholders as well as their participation in the creative distributed design process. Two concrete case studies, a factory automation and the Valchiavenna Portal, demonstrate the implementation of the HMS model and provide a possible solution to overcome the complex, evolving and emerging nature of the collaborative design
A User-in-the-loop Digital Twin for Energy Consumption Prediction in Smart Homes
No full textThis paper describes a digital twin of smart homes able to predict future energy consumption and help the user make better decisions about the activation of smart appliances and the scheduling of automations comprising different appliances' activations. To deal with the problem of time series forecasting for energy consumption prediction, a deep learning approach based on Long-Short Term Memory has been adopted, and a grid search has been used to identify the values of hyperparameters with the best prediction accuracy. Proper information visualization and interaction features have been then implemented in the digital twin interface to explain to the user the predicted consumption data and the reasons underlying warnings and suggestions provided by the system. In this way, the digital twin becomes a system based on artificial intelligence that exhibits an explainable behavior, which allows the user to make decisions about smart home management in a more conscious and sustainable way
Enhancing Sustainability in Smart Home Management with Automation Simulations and Green Suggestions
Full text linkThis paper presents a digital twin for green smart homes that can simulate the impact of user-created automations on energy consumption. Data collected about the states of appliances and estimated power requirements of automations are exploited by the digital twin to estimate the overall energy consumption of the smart home. Consequently, the digital twin can alert users about potential energy overloads and provide suggestions for sustainable actions
EUDability: A new construct at the intersection of End-User Development and Computational Thinking
No full textThe sustainable and digital future of work may imply a dramatic equilibrium change between social factors and technological ones. We argue that providing suitable tools to support End-User Development (EUD) in the workplace could represent a way to cope with such future changes. The contributions of this paper include the analysis and characterization of the most used EUD techniques and their crossover with a new conveyed model of Computational Thinking. The synthesis between these aspects is made explicit in the construct of EUDability, which is designed to capture the quality dimensions of EUD systems suitable to work scenarios where better roles and better tools for individuals may be shaped. EUDability has to do with identifying and assessing the difficulties of EUD techniques on one side and the Computational Thinking skills held by individuals on the other side. (c) 2022 Elsevier Inc. All rights reserved
Exploring the Role of End Users in Performing EUD with Large Language Models
Full text linkLarge Language Models (LLMs) are being used to expand the concept of End-User Development (EUD), allowing end users to describe their needs related to the creation, modification, extension or testing of digital artifacts in natural language. This paper presents a survey on recent papers that explore the integration of EUD with LLMs. The final aim is to reflect on the opportunities offered by LLMs to EUD and on the challenges to address, to understand how to empower end users rather than diminish their role in tailoring systems
- …
