Essays about: "Feedback agent"

Showing result 1 - 5 of 35 essays containing the words Feedback agent.

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

   University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronik

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

   Abstract : 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. READ MORE

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

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

   Abstract : 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. READ MORE

4. 3. A Deep Learning approach to Analysing Multimodal User Feedback during Adaptive Robot-Human Presentations : A comparative study of state-of-the-art Deep Learning architectures against high performing Machine Learning approaches

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Manuel Fraile Rodríguez; [2023]
   Keywords : Human Feedback; Deep Learning; Convolutional Neural Networks; Transformers; Mänsklig återmatning; mänsklig feedback; djupinlärning; CNN; transformer;

   Abstract : When two human beings engage in a conversation, feedback is generally present since it helps in modulating and guiding the conversation for the involved parties. When a robotic agent engages in a conversation with a human, the robot is not capable of understanding the feedback given by the human as other humans would. READ MORE

5. 4. Scalable Reinforcement Learning for Linear-Quadratic Control of Networks

   University essay from Lunds universitet/Institutionen för reglerteknik

   Author : Johan Olsson; [2023]
   Keywords : Technology and Engineering;

   Abstract : Distributed optimal control is known to be challenging and can become intractable even for linear-quadratic regulator problems. In this work, we study a special class of such problems where distributed state feedback controllers can give near-optimal performance. READ MORE

6. 5. Contextualizing Customer Feedback: A Research-through-Design Approach - Alternative Approaches and Dialogical Engagement in Survey Design

   University essay from Uppsala universitet/Människa-datorinteraktion

   Author : Rasmus Svensson; [2023]
   Keywords : Human-Computer Interaction; Research-through-Design RtD ; Digital Service Design; Enterprise Resource Planning ERP systems; Invoicing; Customer Experience CX ; Customer Satisfaction CS ; Contextualization; Dialogical Approach; Customer Journey; Survey design; Questionnaire design; Net Promoter Score NPS ; Customer Satisfaction Score CSAT ; Customer Effort Score CES ; Chatbot; Virtual Agent; Customer Support Agent; Design Guidelines; Double Diamond; User Experience UX ; User Interface UI ; Interaction Design ID ;

   Abstract : Providing context behind customer feedback remains a challenge for company’s who rely on approaching Customer Experience (CX) through standardized Customer Satisfaction (CS) metrics like Net Promoter Score (NPS), Customer Satisfaction Score (CSAT), and Customer Effort Score (CES). Practical guidelines for monitoring CS throughout the customer journey are limited, creating a gap in academic research. READ MORE