166 research outputs found

    Humanoid and android robots in the imaginary of adolescents, young adults and seniors

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    This paper investigates effects of participants’ gender and age (adolescents, young adults, and seniors), robots’ gender (male and female robots) and appearance (humanoid vs android) on robots’ acceptance dimensions. The study involved 6 differently aged groups of participants (two adolescents, two young adults and two seniors’ groups, for a total of 240 participants) requested to express their willingness to interact and their perception of robots’ usefulness, pleasantness, appeal, and engagement for two different sets of females (Pepper, Erica, and Sophia) and male (Romeo, Albert, and Yuri) humanoid and android robots. Participants were also requested to express their preferred and attributed age ranges and occupations they entrusted to robots among healthcare, housework, protection and security and front office. Results show that neither the age nor participants and robots’ gender, nor robots’ human likeness univocally affected robots’ acceptance by these differently aged users. Robots’ acceptance appeared to be a nonlinear combination of all these factors

    Frontal left alpha activity as an indicator of willingness to interact with virtual agents: A pilot study

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    Over the last decade, much effort has been made to develop virtual agents acting as assistants of elderly people in their daily activities. With the emergence of such technologies, several questionnaires have been developed to investigate the factors increasing user's acceptance of virtual agents. While questionnaires provide detailed information about users' preferences, they may not be sufficient for investigating user's internal affective states and impressions during the interaction with virtual agents. Therefore, improving assessment techniques for elders' acceptance of virtual agents is necessary for understanding the impressions they arouse and determining their design accordingly. This paper is a report of a pilot study that benefits from the predictive ability of left frontal alpha activity in the brain on positive affect and approach related motivation, and investigates relationships between user's willingness to interact with virtual agents and left frontal alpha activity in order to gain insights on user's affective and motivational states during the interaction with an agent

    Ageing in the 21st century in Europe: social challenges and innovation opportunities to support elderly independency and wellbeing.

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    This chapter describes the vision of the EMPATHIC project of social challenges and innovation opportunities to support elderly independency and well- being. Asanintroduction,wefirstidentifythemainchallengesthatresultfromthe current demographic status in Europe. Then, we show the vision and approach pro- posed by the EMPATHIC project to deal with some of these challenges. Next sec- tion develops the main concepts, goals and outcomes of the EMPATHIC project. The following section reports the impact of the project and the final section de- scribes the exploitation of the results as well as the concluding remarksThe research leading to the results in this paper has been conducted in the project EMPATHIC (Grant N: 769872) that received funding from the European Union’s Horizon 2020 research and innovation programme

    Artificial Intelligence: Robots, Avatars, and the Demise of the Human Mediator

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    Published in cooperation with the American Bar Association Section of Dispute Resolutio

    Towards conversational technology to promote, monitor and protect mental health

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    This paper presents a general overview of the H2020-MSCA-RISE project MENHIR (Mental health monitoring through interactive conversations), which aim is to explore the possibilities of conversational technologies (chatbots) to understand, promote and protect mental health and assist people with anxiety and mild depression manage their conditions. MENHIR started on February 2019 and will have a duration of 4 years. Its consortium brings together 8 partners including universities, anon-profit organization and companies
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