User modeling

About: User modeling is a research topic. Over the lifetime, 10701 publications have been published within this topic receiving 278012 citations.

User-adapted plan recognition and user-adapted shared control: A Bayesian approach to semi-autonomous wheelchair driving

Abstract: Many elderly and physically impaired people experience difficulties when maneuvering a powered wheelchair. In order to ease maneuvering, powered wheelchairs have been equipped with sensors, additional computing power and intelligence by various research groups. This paper presents a Bayesian approach to maneuvering assistance for wheelchair driving, which can be adapted to a specific user. The proposed framework is able to model and estimate even complex user intents, i.e. wheelchair maneuvers that the driver has in mind. Furthermore, it explicitly takes the uncertainty on the user's intent into account. Besides during intent estimation, user-specific properties and uncertainty on the user's intent are incorporated when taking assistive actions, such that assistance is tailored to the user's driving skills. This decision making is modeled as a greedy Partially Observable Markov Decision Process (POMDP). Benefits of this approach are shown using experimental results in simulation and on our wheelchair platform Sharioto.

Choice-based preference elicitation for collaborative filtering recommender systems

Abstract: We present an approach to interactive recommending that combines the advantages of algorithmic techniques with the benefits of user-controlled, interactive exploration in a novel manner. The method extracts latent factors from a matrix of user rating data as commonly used in Collaborative Filtering, and generates dialogs in which the user iteratively chooses between two sets of sample items. Samples are chosen by the system for low and high values of each latent factor considered. The method positions the user in the latent factor space with few interaction steps, and finally selects items near the user position as recommendations. In a user study, we compare the system with three alternative approaches including manual search and automatic recommending. The results show significant advantages of our approach over the three competing alternatives in 15 out of 24 possible parameter comparisons, in particular with respect to item fit, interaction effort and user control. The findings corroborate our assumption that the proposed method achieves a good trade-off between automated and interactive functions in recommender systems.

Graphical User Interface Design and Evaluation: A Practical Process

Abstract: From the Publisher: Written from the point of view of software systems developers, this guide describes the process for designing and evaluating the graphical user interface (GUI) to computer application software. Defines a comprehensive user-interface design process, showing how complementary techniques can be used together. Shows how task analysis can be used in conjunction with user object modeling to create a user-centered application model. Offers a coherent and practical approach to the design of the user

Smart tourism: State of the art and literature review for the last six years

Abstract: In the modern era, the tourism sector has grown to be one of the dominant sectors globally while technology continues to evolve. These facts have given birth to the “Smart Tourism” concept which can be characterized as a progression from traditional tourism. In order to realize an actual Smart Tourism experience, the proper services need to be delivered to the right user at the right time with the best possible way. During the last six years, there has been a significant amount of research in the Smart Tourism field which, to the best of our knowledge, have not yet been presented in a thorough literature review. In this paper, after carefully reviewing a wide number of papers, we have managed to identify the most commonly used approaches and basic concepts in the Smart Tourism sector and present them in detail along with the papers that focus on them. In this study, “key concepts” include: Privacy Preserving, Context Awareness, Cultural Heritage, Recommender Systems, Social Media, Internet of Things, User Experience, Real Time, User Modeling, Augmented Reality and Big Data. At the same time, major Smart Tourism challenges are presented so as to lay the foundations for future researches in the field.