Smart Service Systems: Analytics, Artificial Intelligence and Cognitive Applications

Permanent URI for this collection


Recent Submissions

Now showing 1 - 4 of 4
  • Item
    Classifying Smart Personal Assistants: An Empirical Cluster Analysis
    ( 2019-01-08) Knote, Robin ; Janson, Andreas ; Söllner, Matthias ; Leimeister, Jan Marco
    The digital age has yielded systems that increasingly reduce the complexity of our everyday lives. As such, smart personal assistants such as Amazon’s Alexa or Apple’s Siri combine the comfort of intuitive natural language interaction with the utility of personalized and situation-dependent information and service provision. However, research on SPAs is becoming increasingly complex and opaque. To reduce complexity, this paper introduces a classification system for SPAs. Based on a systematic literature review, a cluster analysis reveals five SPA archetypes: Adaptive Voice (Vision) Assistants, Chatbot Assistants, Embodied Virtual Assistants, Passive Pervasive Assistants, and Natural Conversation Assistants.
  • Item
    Emoty: an Emotionally Sensitive Conversational Agent for People with Neurodevelopmental Disorders
    ( 2019-01-08) Catania, Fabio ; Di Nardo, Nicola ; Garzotto, Franca ; Occhiuto, Daniele
    Our research aims at exploiting the advances in conversational technology to support people with Neurodevelopmental Disorder (NDD). NDD is a group of conditions that are characterized by severe deficits in the cognitive, emotional and motor areas and produce severe impairments in communication and social functioning. This paper presents the design, technology and exploratory evaluation of Emoty, a spoken Conversational Agent (CA) created specifically for individuals with NDD. The goal of Emoty is to help these persons enhancing communication abilities related to emotional recognition and expression, which are fundamental in any form of human relationship. The system exploits emotion detection capabilities based on the semantics of the speech by calling the IBM Watson Tone Analyzer API and from the harmonic features of the audio thanks to an “all-of-us” Deep Learning model. The design and evaluation of Emoty are based on the close collaboration among computer engineers and specialists in NDD (psychologists, neurological doctors, educators).
  • Item
    Constraint Programming for Flexible Service Function Chaining Deployment
    ( 2019-01-08) Liu, Tong ; Callegati, Franco ; Cerroni PhD, Walter ; Contoli, Chiara ; Gabbrielli, Maurizio ; Giallorenzo, Saverio
  • Item