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Advisor(s)
Abstract(s)
A presença de robôs sociais tem vindo a aumentar nas nossas
vidas, em diferentes áreas do quotidiano em contextos tanto
particulares como públicos. A empatia sendo um fator crucial
na interação humano-robô (IHR), ganha cada vez mais força
no design dos robôs sociais visto que estes sistemas são
projetados com determinado propósito de interação empática,
do qual se podem esperar efeitos emocionais positivos ou
negativos. Neste sentido, é importante explorar como o design
emocional, sendo uma área que procura compreender de que
forma as experiências afetivas se manifestam na interação com
os produtos, pode ser aplicado no design de um robô, levando
em consideração as necessidades das pessoas. Considerando
o design da aparência do robô como um dos componentes
essenciais para gerar empatia, esta investigação pretendeu
contribuir para o avanço da IHR, explorando o efeito do
contexto e da tarefa nas perceções dos utilizadores face a
diferentes robôs (human-like, machine-like e humanoide). Esta
investigação, de carater misto (quantitativo e qualitativo),
iniciou-se com um pré-questionário, para recolha de dados
demográficos, avaliação da empatia e experiências passadas
com robôs. Posteriormente foi realizado um estudo piloto,
seguido de um estudo quasi-experimental. O estudo quasi experimental, teve como objetivo explorar a influência dos
fatores contexto, tarefa, emoções, empatia e atitudes na
intenção de interagir com os robôs, com base na sua aparência
de cada robô. Tendo como foco analisar o efeito dos contextos
e das tarefas nas intenções dos utilizadores para interagir com
diferentes robôs, foram usados os contextos hospitalar,
ambiente propício à adversidades e complexidade, e
doméstico, ambiente privado e mais íntimo. Os resultados
deste estudo sugerem que o contexto e a tarefa são fatores
que não influenciam estatisticamente a intenção de trabalhar
com os robôs. No entanto, os dados demográficos, tais como
a existência de irmãos e a visão política são fatores que
influenciam a empatia.
The presence of social robots has been increasing in our lives, in different areas of everyday life in both private and public contexts. Empathy being a crucial factor in human robot interaction (IHR), gains more and more strength in the design of social robots this that these systems are designed with a certain purpose of empathic interaction, from which one can expect positive or negative emotional effects. In this sense, it is important to explore how emotional design, being an area that seeks to understand how affective experiences manifest themselves in the interaction with products, can be applied in the design of a robot, considering people's needs. Considering the design of the robot as one of the essential components to generate empathy, this research aimed to contribute to the advancement of IHR, exploring the effect of context and task on users' perceptions of different robots (human-like, machine- like and humanoid). This research, of mixed character (quantitative and qualitative), began with a pre-questionnaire, to collect demographic data, assess empathy and past experiences with robots. Subsequently, a pilot study was conducted, followed by a quasi-experimental study. The quasi-experimental study aimed to explore the influence of factors context, task, emotions, empathy, and attitudes in the intention of interacting with robots, based on their appearance of each robot. Focusing on analyzing the effect of contexts and tasks in the intentions of users to interact with different robots, the contexts of the hospital, environment conducive to adversity and complexity, and domestic, private,and more intimate environment were used. The results of this study suggest that context and task are factors that do not statistically influence the intention to work with robots. However, the demographics as the existence of siblings and political vision are factors that influence empathy.
The presence of social robots has been increasing in our lives, in different areas of everyday life in both private and public contexts. Empathy being a crucial factor in human robot interaction (IHR), gains more and more strength in the design of social robots this that these systems are designed with a certain purpose of empathic interaction, from which one can expect positive or negative emotional effects. In this sense, it is important to explore how emotional design, being an area that seeks to understand how affective experiences manifest themselves in the interaction with products, can be applied in the design of a robot, considering people's needs. Considering the design of the robot as one of the essential components to generate empathy, this research aimed to contribute to the advancement of IHR, exploring the effect of context and task on users' perceptions of different robots (human-like, machine- like and humanoid). This research, of mixed character (quantitative and qualitative), began with a pre-questionnaire, to collect demographic data, assess empathy and past experiences with robots. Subsequently, a pilot study was conducted, followed by a quasi-experimental study. The quasi-experimental study aimed to explore the influence of factors context, task, emotions, empathy, and attitudes in the intention of interacting with robots, based on their appearance of each robot. Focusing on analyzing the effect of contexts and tasks in the intentions of users to interact with different robots, the contexts of the hospital, environment conducive to adversity and complexity, and domestic, private,and more intimate environment were used. The results of this study suggest that context and task are factors that do not statistically influence the intention to work with robots. However, the demographics as the existence of siblings and political vision are factors that influence empathy.
Description
Keywords
Interação humano-robô Empatia Aparência do robô Contexto Tarefa do robô