Sökning: "conversational agent"

Visar resultat 1 - 5 av 25 uppsatser innehållade orden conversational agent.

  1. 1. Exploring the Future of Movie Recommendations : Increasing User Satisfaction using Generative Artificial Intelligence Conversational Agents

    Master-uppsats, Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Författare :Signe Bennmarker; [2023]
    Nyckelord :User centered design; Recommender systems; Natural language processing; Conversational agent; User satisfaction;

    Sammanfattning : This thesis explores potential strategies to enhance user control and satisfaction within the movie selection process, with a particular focus on the utilization of conversational generative artificial intelligence, such as ChatGPT, for personalized movie recommendations. The study adopts a qualitative user-centered design thinking approach, aiming to compre-hensively understand user needs, goals, and behavior. LÄS MER

  3. 2. EcoBot : study design and development of a persuasive FSM-free Chatbot for energy saving

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Francesco Milano; [2023]
    Nyckelord :chatbot; context management; persuasive strategies; domestic energy saving; smart appliances; sustainability.; chatbot; kontexthantering; övertygande strategier; hushållsenergibesparing; smarta apparater; hållbarhet;

    Sammanfattning : This study presents the development and evaluation of a conversational agent, EcoBot, designed to inform users about their energy habits and persuade them to save more energy when at home, to help fight climate change and energy waste. To reach this goal, three persuasion strategies were first identified: Feedback, to give users personalized suggestions based on their habits, Goal Setting, to set and track consumption goals for the user’s domestic appliances, and Social Comparison, to compare the user’s consumption with that of others. LÄS MER

  4. 3. Safe Reinforcement Learning for Social Human-Robot Interaction : Shielding for Appropriate Backchanneling Behavior

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Mohamed Akif; [2023]
    Nyckelord :Human-Robot Interaction; Backchanneling; Social Robots; Safe Reinforcement Learning; Shielding; Recurrent Neural Network; Gated Recurrent Unit; Människa-Robot Interaktion; Uppbackning; Sociala Robotar; Säker Förstärkningsinlärning; Avskärmning; Återkommande Neurala Nätverk; Gated Återkommande Enhet;

    Sammanfattning : Achieving appropriate and natural backchanneling behavior in social robots remains a challenge in Human-Robot Interaction (HRI). This thesis addresses this issue by utilizing methods from Safe Reinforcement Learning in particular shielding to improve social robot backchanneling behavior. LÄS MER

  5. 4. Exploring Emely: An exploratory case study on the usability and user experience of a conversational agent for L2 learning

    Kandidat-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

    Författare :Julia Ahrling; Jonna Franzén; [2023]
    Nyckelord :Conversational agents; Second language learning; L2 learning; Usability; User experience;

    Sammanfattning : This study focuses on evaluating and enhancing the user experience of Emely, a conversational agent aimed at improving language skills for second language learners, particularly those who want to increase their chances of securing employment in Sweden. Usability testing was conducted in two test rounds, with the first round providing design implications for the user interface in the second round. LÄS MER

  7. 5. Shaping conversations : Investigating how conversational agents are designed and developed

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Annetta Sillard; [2022]
    Nyckelord :Conversational Agent; Voice interface; Chatbot; Interview study; Design methods; Design tools;

    Sammanfattning : Conversational agents are becoming increasingly common in our day to day lives. We can speak to our phones, our cars and our smart home devices. Despite these advances, the current conversational agents are still far from perfect. LÄS MER