174,990 research outputs found
The Importance of Adaptivity to Provide Onboard Services. A Preliminary Evaluation of an Adaptive Tourist Information Service Onboard Vehicles
No full textThis paper presents an adaptive onboard tourist guide and its experimental evaluation. The guide is an adaptive system which modifies its behaviour (time of activation, content, presentation layout) according to a model it dynamically builds about the user (driver) and the context of interaction (time, location and driving conditions). After a short description of the role that adaptation can play in mobile systems installed on vehicles, the paper describes goals and architecture of the system, focusing on the forms of adaptation it implements. Finally the paper presents an evaluation exercise carried out to test the system. This preliminary evaluation is very promising as regards both suggested content and the way they are provided. This last issue is particularly critical for the driver safety and depends on a proper evaluation of the user capabilities and of the contextual situation
AI*HCI 2013: International Workshop on Intelligent User Interfaces
No full textAbstract. The AI*HCI workshop attempts to provide some answers on how AI can be used in the context of HCI research community. Adaptation, personalization and user modeling have been the recurrent themes among the accepted papers. These themes have been investigated and applied to several domains such as tourism, museum visits, information presentation and virtual environment adaptation.This first edition of the workshop has eight accepted papers
Evaluation of an on-vehicle adaptive tourist service
No full textThis paper describes methodology and results obtained in the evaluation of a system that provides personalized tourist information onboard cars. With a PC simulator, using a layered sampling strategy and strong statistic metrics to compare the system suggestions to the users answers, we analyzed several dimensions of adaptation (user preferences, context risk, etc.)
Personalization and adaptation for on-board information system: a prototype and its evaluation
No full textPersonalization and adaptation techniques are an interesting opportunity to design new services on-board vehicles. In this context, in fact, the need of an individual user to receive the “right” service at the “right” time and in the “right” and non intrusive way is more critical than in other cases, where personalization and adaptation already showed interesting advantages. These ideas have been experimented in practice in the design of MastroCARONTE, an adaptive system that provides tourist information on board cars. In this paper we briefly describe the system, the forms of personalization and adaptation that it implements and we report a first evaluation exercise we performed with a prototype implementatio
Robots to Make You Feel Good: Supporting Autistic Youths in Managing Medical Visit Challenges with Robot-Assisted Therapy
No full textThe following paper provides an overview of the "Feel Good" project, including its objectives, methodologies and plans. The premise of the project is to explore the integration of social robots within therapeutic frameworks aimed at easing the anxiety and distress associated with medical appointments for autistic youth. Social robots have shown effectiveness in supporting autism therapies, enhancing engagement and therapeutic outcomes. The aim of this initiative is to improve communication between healthcare providers and autistic youth. Through the implementation of various strategies, the initiative seeks to enhance the children's capacity to identify and express their symptoms while also providing a comfortable healthcare experience. Furthermore, the initiative offers a secure environment where the children can work on their weaknesses and practice managing medical events. The activities are tailored according to their individual support needs and levels to ensure the best possible outcome
When personalization is not an option: An in-the-wild study on persuasive news recommendation
No full textAiming at granting wide access to their contents, online information providers often choose not to have registered users, and therefore must give up personalization. In this paper, we focus on the case of non-personalized news recommender systems, and explore persuasive techniques that can, nonetheless, be used to enhance recommendation presentation, with the aim of capturing the user's interest on suggested items leveraging the way news is perceived. We present the results of two evaluations "in the wild", carried out in the context of a real online magazine and based on data from 16,134 and 20,933 user sessions, respectively, where we empirically assessed the effectiveness of persuasion strategies which exploit logical fallacies and other techniques. Logical fallacies are inferential schemes known since antiquity that, even if formally invalid, appear as plausible and are therefore psychologically persuasive. In particular, our evaluations allowed us to compare three persuasive scenarios based on the Argumentum Ad Populum fallacy, on a modified version of the Argumentum ad Populum fallacy (Group-Ad Populum), and on no fallacy (neutral condition), respectively. Moreover, we studied the effects of the Accent Fallacy (in its visual variant), and of positive vs. negative Framing
UbiquiTo-S: A Preliminary Step Toward Semantic Adaptive Web Services
No full textIn this paper we describe an approach to design an adaptive system as a Semantic Web Service. We focus on how adaptive systems can provide adaptive services through web service technologies. In particular, we concentrate on adding semantic information to enrich the service discovery phase. We present a recommender system, UbiquiTO-S, which exploits the technology of Web Services (WS) and Semantic Web to allow software agents to discover its services and use its adaptive service
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