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When AI Speaks for the Dead: Mapping the intention to use Deadbots to connect with deceased loved ones
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Autores
Resumo(s)
The perceptual factors that shape intention to use chatbot technologies, commonly referred
to as "Deadbots," are the focus of this study. As Artificial Intelligence (AI) systems become
increasingly humanlike and relational, Deadbots represent a particularly sensitive form of this
technology. Aiming to replicate conversations with deceased loved ones, these tools seek to
engage users as if they are having a two-way conversation with the dead. The opinions of 622
participants, collected through an online questionnaire, were recorded after they had a
genuine interaction with a bespoke Deadbot. The conceptual model encompasses constructs
such as perceived empathy, anthropomorphism, warmth, competence, parasocial interaction,
privacy concerns, and creepiness to measure usage intention. Structural equation modeling
(with SmartPLS) was used for data analysis. Findings reveal that perceived empathy is a strong
predictor of intention to use, significantly influenced by competence, warmth, and parasocial
interaction. Anthropomorphism was not a significant factor. Privacy concerns negatively
impacted adoption intention. The study also examined demographic and experimental control
variables. Notably, recent bereavement was associated with lower interest in Deadbots. These
insights contribute to future explorations of Deadbots’ development, mapping how users feel
about these tools and what they value in this type of interaction.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Marketing Intelligence
Palavras-chave
Artificial Intelligence chatbots grief AI and emotional well-being users’ expectations intention to use