1,720,963 research outputs found
Robot personality for cognitive training
No full textRobots are becoming more present in our daily activities and in particular in the health context. To improve the human-robot interaction in a training session it is important to design and develop social behavior and personality in robots. Recent studies found that personality is an essential feature for creating socially assistive robots. For this purpose, I want to investigate if the robot personality (extrovert or introvert) can improve the user’s cognitive performances in elders with Mild Cognitive Impairments during one-o-one cognitive training
Designing adaptive behavior in a social robot
No full textRobots are becoming more and more present in our daily activities. In order to improve user interaction with them, it is important to design behaviors in robots that show social attitude and ability to adapt to the users. For this purpose, robots should adapt their behavior recognizing the user's emotion, also considering the actual user with cognitive and physical disabilities. However, most contemporary approaches rarely attempt to consider recognized emotional features in an active manner to modulate robot decision-making and dialogue for the benefit of the user. In this project, I aim to design and implement a module in a humanoid robot to create an adaptive behavior in a Social Robot for older adults who may have cognitive impairments
Towards Adaptation of Humanoid Robot Behaviour in Serious Game Scenarios using Reinforcement Learning
No full textRepetitive cognitive training can be seen as tedious by older adults and cause participants to drop out. Humanoid robots can be exploited to reduce boredom and the cognitive burden in playing serious games as part of cognitive training. In this paper, an adaptive technique to select the best actions for a robot is proposed to maintain the attention level of elderly users during a serious game. The goal is to create a strategy to adapt the robot's behaviour to stimulate the user to remain attentive through reinforcement learning. Specifically, a learning algorithm (QL) has been applied to obtain the best adaptation strategy for the selection of the robot's actions. The robot's actions consist of a combination of verbal and nonverbal interaction aspects. We have applied this approach to the behaviour of a Pepper robot for which two possible personalities have been defined. Each personality is exhibited by performing specific actions in the various modalities supported. Simulation results indicate learning convergence and seem promising to validate the effectiveness of the obtained strategy. Preliminary test results with three participants suggest that the adaption in the robot is perceived
A Cooking Game for Cognitive Training of Older Adults Interacting with a Humanoid Robot
No full textIn this paper, we present the design and the implementation of a cooking game for older adults interacting through a humanoid robot. We discuss the motivations and the requirements that have driven such design and indicate how it has been implemented. The main goal is to stimulate the cognitive resources of older adults in order to limit their decline. For this purpose, we have exploited the multimodal possibilities of the humanoid robot and have identified two robot personalities, which are suitable to improve users' engagement, and thus their potential participation in cognitive training programmes
Adaptation in humanoid robots serious games for mild cognitive impairment older adults
No full textSince the number of Mild Cognitive Impairment (MCI) older adults is increasing, it becomes more and more important to provide them with support to avoid the progression of their cognitive decline to dementia. To this regard, interactive serious games can play an important role. However, while most of them have been deployed mainly through tablets, the current emerging humanoid robots are opening up novel possibilities to this regard. In this position paper we aim to describe our current research interest in better understanding the impact of humanoid robots in supporting serious games for such users
MCI Older Adults' User Experience with Introverted and Extraverted Humanoid Robot Personalities
No full textThis study aimed to investigate the impact of different personalities in humanoid robots for cognitive training scenarios with older adults with mild cognitive impairment (MCI). In particular, we have designed an application with two opposite personalities based on the Extraversion dimension of the Big Five Factors model. A user test with 16 Italian-speaking participants diagnosed with MCI aged 68+ was performed. The analysis of the data collected suggests that the robot's personality can have an effect on the engagement of such users and also found that participants can discriminate between the two personalities. Overall, the study highlights the importance of designing human-robot interactions considering personality-related aspects when considering MCI older adults
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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