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Advisor(s)
Abstract(s)
Introdução: A evolução dos chatbots tem oferecido respostas rápidas e personalizadas,
que poderão ser valorizadas por adultos emergentes, que exploram relações e privilegiam
o contacto virtual. Este estudo teve como objetivos:1) explorar como traços de
personalidade, necessidade de pertença e antropomorfismo predizem a perceção de
intimidade com chatbots;2) adaptar instrumentos de avaliação para a interação humanochatbot.
Método: Participaram 480 adultos emergentes portugueses (18-29 anos; Midade=23,18;
DP=3,35) que responderam a um questionário sociodemográfico, de saúde e uso de
chatbot, seguido do Inventário de Personalidade, Need to Belong Scale, Questionário de
Antropomorfismo, Human-Robot Interaction Evaluation Scale e Functional Analytic
Psychotherapy Intimacy Scale.
Resultados: Sexo Masculino (β=-0,081; p=0,020), maior Frequência de Uso (β=0,177;
p<0,001), Necessidade de pertença (β=0,135; p=0,003), Sociabilidade (β=0,306;
p<0,001) e Vivacidade (β=0,242; p<0,001) predisseram maior Honestidade e
Genuinidade na interação com o chatbot. Maior Frequência de Uso (β=0,114; p=0,004),
Abertura à Experiência (β=0,107; p=0,011), Necessidade de pertença (β=0,092;
p=0,041), Sociabilidade (β=0,247; p<0,001), Estranheza (β=0,098; p=0,007) e
Vivacidade (β=0,385; p<0,001) predisseram maior Expressão de Sentimentos Positivos
com o chatbot. Sexo masculino (β=-0,167; p=0,001) predisse menos Pensamentos e
Sentimentos Escondidos e maior Estranheza (β=-0,225; p<0,001) predisse mais
Pensamentos e Sentimentos Escondidos na interação com a inteligência artificial.
Conclusão: Características individuais e pistas situacionais influenciam a perceção de
intimidade, aproximando as relações humanas às interações humano-chatbot e reforçando
a importância de um maior investimento na investigação nesta área que implica múltiplos
desafios ao nível do impacto sobre as interações, proteção de dados, entre outros, e sobre
a qual a literatura é ainda escassa.
Introduction: The evolution of chatbots has offered rapid and personalised responses, which may be valued by emerging adults who explore relationships and favour virtual contact. This study aimed to: 1) explore how personality traits, need to belong, and anthropomorphism predict perceived intimacy with chatbots; 2) adapt assessment instruments for human-chatbot interaction. Method: 480 Portuguese emerging adults (aged 18–29; Mage = 23.18; SD = 3.35) completed a sociodemographic, health and chatbot use questionnaire, followed by the Personality Inventory, Need to Belong Scale, Anthropomorphism Scale, Human-Robot Interaction Evaluation Scale and Functional Analytic Psychotherapy Intimacy Scale. Results: Male sex (β=-0.081; p=0.020), higher Frequency of Use (β=0.177; p<0.001), Need to Belong (β=0.135; p=0.003), Sociability (β=0.306; p<0.001) and Animacy (β=0.242; p<0.001) predicted greater Honesty and Genuineness in interactions with the chatbot. Higher Frequency of Use (β=0.114; p=0.004), Openness to Experience (β=0.107; p=0.011), Need to Belong (β=0.092; p=0.041), Sociability (β=0.247; p<0.001), Disturbance (β=0.098; p=0.007) and Animacy (β=0.385; p<0.001) predicted greater Expression of Positive Feelings with the chatbot. Male sex (β =-0.167; p=0.001) predicted fewer Hidden Thoughts and Feelings and higher Disturbance (β=-0.225; p<0.001) predicted higher Hidden Thoughts and Feelings in interactions with the artificial intelligence. Conclusion: Individual characteristics and situational cues influence perceived intimacy, bringing human relationships closer to human–chatbot interactions and reinforcing the importance of greater investment in research in this area, which involves multiple challenges related to the impact on interactions, data protection, and other factors, and about which the literature remains scarce.
Introduction: The evolution of chatbots has offered rapid and personalised responses, which may be valued by emerging adults who explore relationships and favour virtual contact. This study aimed to: 1) explore how personality traits, need to belong, and anthropomorphism predict perceived intimacy with chatbots; 2) adapt assessment instruments for human-chatbot interaction. Method: 480 Portuguese emerging adults (aged 18–29; Mage = 23.18; SD = 3.35) completed a sociodemographic, health and chatbot use questionnaire, followed by the Personality Inventory, Need to Belong Scale, Anthropomorphism Scale, Human-Robot Interaction Evaluation Scale and Functional Analytic Psychotherapy Intimacy Scale. Results: Male sex (β=-0.081; p=0.020), higher Frequency of Use (β=0.177; p<0.001), Need to Belong (β=0.135; p=0.003), Sociability (β=0.306; p<0.001) and Animacy (β=0.242; p<0.001) predicted greater Honesty and Genuineness in interactions with the chatbot. Higher Frequency of Use (β=0.114; p=0.004), Openness to Experience (β=0.107; p=0.011), Need to Belong (β=0.092; p=0.041), Sociability (β=0.247; p<0.001), Disturbance (β=0.098; p=0.007) and Animacy (β=0.385; p<0.001) predicted greater Expression of Positive Feelings with the chatbot. Male sex (β =-0.167; p=0.001) predicted fewer Hidden Thoughts and Feelings and higher Disturbance (β=-0.225; p<0.001) predicted higher Hidden Thoughts and Feelings in interactions with the artificial intelligence. Conclusion: Individual characteristics and situational cues influence perceived intimacy, bringing human relationships closer to human–chatbot interactions and reinforcing the importance of greater investment in research in this area, which involves multiple challenges related to the impact on interactions, data protection, and other factors, and about which the literature remains scarce.
Description
Dissertação de Mestrado apresentada no Ispa – Instituto Universitário para obtenção de grau de Mestre na especialidade de Psicologia Clínica.
Keywords
Traços de personalidade Necessidade de pertença Antropomorfismo Intimidade Interação humano-chatbot Personality traits Need to belong Anthropomorphism Intimacy Humanchatbot interaction
