Producción CientíficaThe long term evaluation of the Sacarino robot is presented in this paper. This study aimed to improve the robot`s capabilities as a bellboy in a hotel; walking alongside the guests, providing information about the city and the hotel and providing hotel-related services. The paper establishes a three-stage assessment methodology based on the continuous measurement of a set of metrics regard- ing navigation and interaction with guests. Sacarino has been automatically collecting information in a real hotel environment for long periods of time. The acquired information has been analyzed and used to improve the robot's opera- tion in the hotel through successive re nements. Some interesting considerations and useful hints for the researchers of service robots have been extracted from the analysis of the results.Junta de Castilla y León (Programa de apoyo a proyectos de investigación-Ref. VA036U14)Junta de Castilla y León (programa de apoyo a proyectos de investigación - Ref. VA013A12-2)Ministerio de Economía, Industria y Competitividad (Grant DPI2014-56500-R
1 October 2015 in International Journal of Human-Computer Studies
Producción CientíficaThis paper provides the results of various trial experiments in a hotel environment carried out using Sacarino, an interactive bellboy robot. We analysed which aspects of the robot design and behaviour are relevant in terms of user engagement and comfort when interacting with our social robot. The experiments carried out focused on the influence over proxemics, duration and effectiveness of the interaction taking into account three dichotomous factors related with the robot design and behaviour: robot embodiment (with/without robotic body), status of the robot (awake/asleep) and who starts communication (robot/user). Results show that users tend to maintain a personal distance when interacting with an embodied robot and that embodiment engages users in maintaining longer interactions. On the other hand, including a greeting model in a robot is useful in terms of engaging users to maintain longer interactions, and that an active-looking robot is more attractive to the participants, producing longer interactions than in the case of a passive-looking robot.Junta de Castilla y León (Programa de apoyo a proyectos de investigación-Ref. VA036U14)Junta de Castilla y León (Programa de apoyo a proyectos de investigación-Ref. VA013A12-2)Ministerio de Economía, Industria y Competitividad (Grant DPI2014-56500-R
During literature reviews, and specially when conducting systematic literature reviews, finding and screening relevant papers during scientific document search may involve managing and processing large amounts of unstructured text data. In those cases where the search topic is difficult to establish or has fuzzy limits, researchers require to broaden the scope of the search and, in consequence, data from retrieved scientific publications may become huge and uncorrelated. However, through a convenient analysis of these data the researcher may be able to discover new knowledge which may be hidden within the search output, thus exploring the limits of the search and enhancing the review scope. With that aim, this paper presents an iterative methodology that applies text mining and machine learning techniques to a downloaded corpus of abstracts from scientific databases, combining automatic processing algorithms with tools for supervised decision-making in an iterative process sustained on the researchers’ judgement, so as to adapt, screen and tune the search output. The paper ends showing a working example that employs a set of developed scripts that implement the different stages of the proposed methodology.
In this paper an interactive and realistic virtual head oriented to human-computer interaction and social robotics is presented. It has been designed following a hybrid approach, taking robotic characteristics into account and searching for a convergence between these characteristics, real facial actions and animation techniques. An initial head model is first obtained from a real person using a laser scanner. Then the model is animated using a hierarchical skeleton based procedure. The proposed rig structure is close to real facial muscular anatomy and its behaviour follows the Facial Action Coding System. Speech synthesis and visual human-face tracking capabilities are also integrated for providing the head with further interaction ability. Using the said hybrid approach, the head can be readily linked to a social-robot architecture. The opinions of a number of persons interacting with this social avatar have been evaluated and are reported in the paper, as against their reactions when interacting with a social robot with a mechatronic face. Results show the suitability of the avatar for on-screen, real-time interfacing in human-computer interaction. The proposed technique could also be helpful in the future for designing and parameterizing mechatronic human-like heads for social robots.
Applying the concepts of technological ecosystems to the care and assistance domain is an emerging field that has gained interest during the last years, as they allow to describe the complex relationships between actors in a technologically boosted care domain. In that context, this paper presents a systematic review and mapping of the literature to identify, analyse and classify the published research carried out to provide care and assistance services under a technological ecosystems’ perspective. Thirty-seven papers were identified in the literature as relevant and analysed in detail (between 2003–2018). The main findings show that it is indeed an emerging field, as few of the found ecosystem proposals have been developed in the real world nor have they been tested with real users. In addition, a lot of research to date reports the proposal of platform-centric architectures developed over existing platforms not specifically developed for care and services provision. Employed sensor technologies for providing services have very diverse natures depending on the intended services to be provided. However, many of these technologies do not take into account medical standards. The degree of the ecosystems’ openness to adding new devices greatly depends on the approach followed, such as the type of middleware considered. Thus, there is still much work to be done in order to equate other more established ecosystems such as business or software ecosystems.