Essays about: "agent experience"
Showing result 1 - 5 of 93 essays containing the words agent experience.
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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 elektronikAbstract : 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
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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)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
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3. Orchestrating the service encounter in a digital era: How the presence of a greeting online service agent affects customers' experience of visiting a home electronics e-store
University essay from Handelshögskolan i Stockholm/Institutionen för marknadsföring och strategiAbstract : The service encounter is to an increasing extent being transported to an online context. Companies are more and more often trying to create an initial point of contact when a customer enters a website. READ MORE
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4. S-MARL: An Algorithm for Single-To-Multi-Agent Reinforcement Learning : Case Study: Formula 1 Race Strategies
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : A Multi-Agent System is a group of autonomous, intelligent, interacting agents sharing an environment that they observe through sensors, and upon which they act with actuators. The behaviors of these agents can be either defined upfront by programmers or learned by trial-and-error resorting to Reinforcement Learning. READ MORE
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5. Enhancing video game experience with playtime training and tailoring of virtual opponents : Using Deep Q-Network based Reinforcement Learning on a Multi-Agent Environment
University essay fromAbstract : When interacting with fictional environments, the users' sense of immersion can be broken when characters act in mechanical and predictable ways. The vast majority of AIs for such fictional characters, that control their actions, are statically scripted, and expert players can learn strategies that take advantage of this to easily win challenges that were intended to be hard. READ MORE