1,721,151 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
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
A Multidimensional Approach for the Semantic Representation of Taxonomies and Rules in Adaptive Hypermedia Systems
No full textThis paper introduces a semantic framework for adaptive systems. The core is a multidimensional matrix whose different planes contain the ontological representation of different types of knowledge. On these planes we represent user features, her actions, context, device, domain, adaptation goals and methods. The intersection between planes allows us to represent and managing semantic rules for inferring new user features or defining adaptation strategies. We exploit OWL to represent taxonomic knowledge and SWRL for rules
Web Services and Semantic Web for Adaptive Systems
No full textIn this paper we describe the modalities through which an Adaptive System can provide adaptive services using the support of Semantic Web Service technologies. This is the first stage of a project for creating a Semantic Adaptive Web Service that automatically provides both user-adapted services and user models knowledge. In this paper we focus on the enrichment of the service discovery phase through the addition of semantic information
Can empathy affect the attribution of mental states to robots?
No full textThis paper presents an experimental study showing that the humanoid robot NAO, in a condition already validated with regards to its capacity to trigger situational empathy in humans, is able to stimulate the attribution of mental states towards itself. Indeed, results show that participants not only experienced empathy towards NAO, when the robot was afraid of losing its memory due to a malfunction, but they also attributed higher scores to the robot emotional intelligence in the Attribution of Mental State Questionnaire, in comparison with the users in the control condition. This result suggests a possible correlation between empathy toward the robot and humans' attribution of mental states to it
Towards a tag-based user model: how can user model benefit from tags?
No full textSocial tagging is a kind of social annotation by which users label resources, typically web objects, by means of keywords with the goal of sharing, discovering and recovering them. In this paper we investigate the possibility of exploiting the user tagging activity in order to infer knowledge about the user. Up to now the relation between tagging and user modeling seems not to have been investigated in depth. Given the widespread diffusion of web tools for collaborative tagging, it is interesting to understand how user modeling can benefit from this feedback
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
MUSE: A Multidimensional Semantic Environment for Adaptive Hypermedia Systems
No full textThis paper proposes a model for the design of adaptive systems. The core of the model is based on three matrices whose different planes contain the ontological represen-tation of different types of knowledge. On these planes we represent user features, her actions, context, device, content domain, adaptation goals and methods. The join between planes allows us to represent semantic rules for inferring new user features and to define adaptation strategies. We exploit OWL (Ontology Web Language) to represent taxonomic knowledge and SWRL (Semantic Web Rule Language) for rules. The framework presents a new approach to build adaptive hypermedia systems that support interoperability
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