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Ouaazki, Abdessalam
Nom
Ouaazki, Abdessalam
Affiliation principale
Fonction
Collaborateur.trice scientifique
Email
abdessalam.ouaazki@unine.ch
Identifiants
Résultat de la recherche
Voici les éléments 1 - 2 sur 2
- PublicationAccès libreNewsChat: A Generative AI Conversational Agent to Enhance the Reading Experience of Data-Driven ArticlesData-driven articles have become an effective way to turn complex datasets into clear, engaging stories. However, this approach can produce dense articles filled with complex details and statistics, which may overwhelm readers. Interactive techniques like visualizations and scrollytelling help simplify content, but often lack personalization and adaptability. This study explores the integration of a Generative AI (GenAI) conversational agent in a data-driven article to simplify content and offer personalized explanations. Through an online experiment, we assessed how the GenAI agent affects the reading experience in this context. Our results reveal that the agent enhances enjoyment, particularly for individuals with limited interest in the topic. However, the agent may negatively impact perceived credibility, especially among those with skepticism towards chatbots. Thematic analysis of user comments revealed both positive perceptions of utility, alongside concerns about risks such as over-reliance, inaccuracies, and distrust in GenAI.
- PublicationAccès libreCare-Based Eco-Feedback Augmented with Generative AI: Fostering Pro-Environmental Behavior through Emotional Attachment(2024-04-11)
; ; ; ; Lights out! With the escalating climate crisis, eco-feedback has gained prominence over the last decade. However, traditional ap- proaches could be underperforming as they often use data-driven strategies and assume that people only need additional information about their consumption to change behavior. A proposed path to overcome this issue is to design eco-feedback to foster emotional connections with users. However, not much is known about the effectiveness of such designs. In this paper, we propose a novel care- based eco-feedback system. Central to the system is a Tamagotchi- inspired digital character named Infi who gets its life force from the user’s energy savings. Additionally, we harness the latest ad- vancements in generative artificial intelligence to enhance emo- tional attachment through conversational interactions that users can have with Infi. The results of a randomized controlled experi- ment (N=420) convey the fact that this design increases emotional attachment, which in turn increases energy-saving behavior.