Terry Amorese

Children’s preferences for virtual agents with natural and synthetic voices: Exploring developmental differences in willingness to interact and perceived voice quality

Miriam Veneziano, Maria Sarno, Maria Santina Ler, Marialucia Cuciniello et autres

Investigations into children’s perception and acceptance of new technologies, including voice chatbots, robots, and virtual agents, represent an emerging and rapidly expanding field of academic research. These interactive dialogue systems offer new opportunities in various settings (e.g., educational, therapeutic, and health settings) …

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Preliminary Investigation on Children’s Acceptance of Interactive Dialogue Systems

Miriam Veneziano, Marialucia Cuciniello, Terry Amorese, Gennaro Cordasco et autres

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Factors Influencing Young Users’ Acceptance of Interactive Dialogue Systems with Pedagogical Role: A Recent Review of Literature

Maria Sarno, Terry Amorese, Marialucia Cuciniello, Gennaro Cordasco et autres

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Decoding Emotions: The Role of Age and Gender in Recognition Accuracy

Somdatta Chakraborty, Terry Amorese, Marialucia Cuciniello, Vincenzo Villino et autres

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Detecting Cognitive Decline Through Handwriting: The Role of Task Complexity and Feature Selection

Maria Santina Ler, Terry Amorese, Marialucia Cuciniello, Gennaro Cordasco et autres

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Exploring Students’ Perceptions of an Educational Robot: The Influence of Voice and Video Modalities

Maria Sarno, Marialucia Cuciniello, Terry Amorese, Gennaro Cordasco et autres

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The role of speaker gender in vocal emotion recognition

Marialucia Cuciniello, Terry Amorese, Anna Alterio, Anna Aurelia Esposito et autres

This study investigates the impact of stimulus gender on vocal emotion recognition. To that end, 3 groups of listeners were asked to classify joy, neutral state, fear, anger and sadness in Italian meaningful and nonsensical sentences in 2 settings: a controlled laboratory …

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Synthetic Facial Emotional Expression Recognition in People with Depressive Symptoms

Rosa Milo, Marialucia Cuciniello, Terry Amorese, Anna Aurelia Esposito et autres

Considering the exploitation of virtual agents in Information and Communication Technologies (ICT)-based interventions for mental health, it is necessary to investigate the underlying characteristics of their interactions with users experiencing mental health issues, like depression. Existing literature highlights an impaired ability to …

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Exploring students’ acceptance of Pedagogical Agents: A Pilot Study

Maria Sarno, Miriam Veneziano, Terry Amorese, Marialucia Cuciniello et autres

The present study aims to investigate factors’ influencing students’ acceptance of different types of interactive dialogue systems (such as virtual agents and voice chatbots) designed to support learning, taking into account the gender of the system (male/female) and the age they represent …

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Development and Validation of the Robot Acceptance Questionnaire (RAQ)

Terry Amorese, Marialucia Cuciniello, Claudia Greco, Alfonsina D’Iorio et autres

This study aimed to validate the Robot Acceptance Questionnaire (RAQ), a self-report instrument designed to assess user acceptance toward social robots. Originally structured around four theoretical domains—pragmatic, hedonic (identity and feelings), and attractiveness—the RAQ was empirically found to converge into two robust …

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Frontal Alpha Asymmetry as an Index of Willingness to Interact with Virtual Agents in Users with Depressive Symptoms

Rosa Milo, Terry Amorese, Marialucia Cuciniello, Gennaro Cordasco et autres

Socially engaging interactive systems, like virtual agents, can be employed as "companions" or "therapists", promoting wellbeing and mental health. To favor the actual usage of this kind of technologies, it is crucial to identify the features influencing users’ perception and acceptance toward …

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Exploring the impact of noise, language familiarity, and experimental settings on emotion recognition

Terry Amorese, Marialucia Cuciniello, Anna Alterio, Odette Scharenborg et autres

Introduction: This work aims to understand the contextual factors affecting speech emotion recognition (SER), more specifically the current research investigates whether the identification of vocal emotional expressions of anger, fear, sadness, joy, and neutrality is affected by three factors: (a) the experimental …

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