TY - THES A1 - Gron, Alisa T1 - A comparison of the impact between recorded and classic cooking recipes employing user experience research methods N2 - This research focuses on measuring learning curves from different people while they cook with the aid from various media channels. For such purpose profile inquiries, face-to-face interviews, self-recorded assignments, and classification tests will be used. The analysis of the results intends to derive into good practices of e-learning media design. KW - UX KW - SDA-M KW - Learning media KW - Self-education KW - Cooking KW - Self-education KW - Cooking KW - SDA-M KW - Learning media KW - UX Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-3937 ER - TY - THES A1 - Awasthi, Sudarshan T1 - Pepper ChatGPT System as a Study Programme Guide for Students N2 - This thesis centers on enhancing the humanoid Pepper robot with Artificial Intelligence-driven information delivery capabilities in an educational setting using Large Language Model at student service centers. In this work, Pepper was connected to GPT-Engine to act as a voice assistant robot. With the help of GPT-Engine Pepper can answer questions about the University and its study programmes. The enhancement involves a client-server architecture, where the client-side application enables students to interact with Pepper via speech, and the server-side, equipped with AI functionalities, processes these interactions and generates appropriate responses. This setup significantly augments Pepper's capabilities, allowing for more accurate and efficient information delivery. An experiment was conducted with nine student participants of Hochschule-Rhein Waal, where they asked questions about the University and study Programmes to inform themselves about the University and Study Programmes. During the interaction, they evaluated the robot's clarity of communication, accuracy of responses, and overall user experience. The findings indicate that while the AI enhancements generally improved Pepper's ability to communicate and provide information, areas such as voice recognition and response accuracy require further improvement. This research contributes to the field of human-robot interaction by illustrating a practical approach to augmenting existing service robots with AI capabilities. It underscores the importance of advanced AI integration in enhancing the functionality of service robots in educational environments. The study provides valuable insights into the broader application of AI-enhanced robots in the Information Guide role, highlighting the ongoing need for technological advancements in AI integration and humanrobot interaction. KW - Pepper robot KW - AI integration KW - Human-robot interaction KW - Educational technology KW - Client server KW - ChatGPT KW - Large Language Models Y1 - 2024 ER - TY - THES A1 - Marchenko, Tetiana T1 - Implementation and evaluation of a "Friendship flowerbed" - a novel approach of incorporating interactive friendship data physicalization in gifting experiences N2 - Data physicalizations are physical objects that encode data. The concept comes from data visualization, except for in a physicalization the data is presented as 3D tangible objects. Research shows that physical representation of data and being able to interact with it improve understanding and memorability of data, which supports the embodied cognition thesis, according to which cognition is supported by the body and the physical world and developmental psychology research, suggesting that manipulation of physical objects can promote understanding and learning. Alongside traditional physicalizations of statistical data, there also exist physicalizations of personal data, for example heartrate patterns, DNA data, one’s emotional states during the course of the week, etc. Research shows that such physicalizations, often embodied into everyday objects to promote familiarity and intuitive interaction, stimulate self-reflection as well as social interactions by telling others the stories behind the data. Some researchers thought about using data physicalizations as gifts and created example of such gifting artifacts. However, the design process of these artifacts was not based on the user research; nor were the physicalization gifts evaluated in any way. This is the gap that we are addressing in this master thesis, and the goal of our project was therefore to create and evaluate a personal data physicalization present using the human centered design approach. We started our work by conducting user research: performing interviews and defining the important characteristics of the future physicalisation gift. It was followed by a brainstorming session of possible design solutions and creation of the prototype. The prototype was then tested with users, addressing understandability of the data presented in the physicalisation and subjective perception of the gift. Our documentation of the findings and the research process provides a new step in the research of personal data physicalisations and lays out new topics for future investigations. Y1 - 2023 ER - TY - THES A1 - Pozdnyakova, Olga T1 - Exploring the Impact of Ecolabel Elements on Consumer Product Perception and Purchase Intention N2 - Ecolabelling is a tool that aims to engage consumers in making more sustainable choices, by communicating the environmental characteristics of a product. Previous studies have emphasized the significant impact of design and ecolabel elements in capturing consumers’ attention and influencing their preferences. However, only a limited number of studies have explored the effect of individual ecolabel elements and their orchestration in regard to visual attention and consumers perception, particularly in the context of textile products. The aim of the present study was to provide new insights into effective ecolabel design practices by investigating the influence of color, visual symbol, and text on consumers’ visual attention, environmental product perception and purchase intention. The current study employed a mixed method approach, combining quantitative and qualitative methods. The integrated methods included a review of existing ecolabels in the textile industry, an eye tracking experiment with sixteen custom-designed ecolabels, questionnaires, interviews, and a card sorting task. Visual attention was measured with the eye tracking, while other methods were employed to deepen the understanding of consumers’ perception and reasoning behind their decision-making. The results of the study revealed that the green ecolabels with natural symbols, such as Cotton and Leaf, received the highest environmental friendliness and purchase intention ratings, with the green Cotton ecolabel demonstrating the highest rate of visual attention engagement. In contrast, blue ecolabels were perceived as less environmentally friendly, particularly those with the visual symbols unrelated to nature. In addition, precise environmental claims with numerical data, such as “90% Organic cotton”, in combination with a website link, had a positive impact on trust and environmental perception. However, their role in visual attention and environmental perception was found to be less significant compared to the color and visual symbol. The findings contribute to textile research, highlighting the importance of the ecolabel context, visual symbol and color in ecolabel design, and providing new insights about visual attention patterns. The study outlines practical recommendations that can be utilized by professionals developing or redesigning ecolabels, in order to effectively communicate the characteristics of sustainable products. KW - Ecolabels KW - Sustainable products KW - Environmental perception KW - Visual attention KW - Eye tracking Y1 - 2025 ER - TY - THES A1 - Oyewole, Oluwabusayomi T1 - Conversational design: the use of chatbot as an electoral information dissemination tool N2 - A steady decline in voter turnout has been recorded in many democratic countries, with young people (i.e Gen Z and Millennials) identified as a significant portion of those who don’t vote. Research has shown that one of the reasons young people do not vote is a lack of information about the electoral process, candidates and policies. Studies have also shown that preferred information dissemination medium is aligned across age groups, with older people trusting old media such as newspapers and young people leaning towards new media such as social media. With the recent advancement in machine learning, natural language interface and popularity of conversational agents such as chatbots, a new subset of new media has emerged. This study aims to investigate if chatbots could be an efficient medium for young people to access electoral information. It does this by comparing it with a website, using the EU electoral page as a case study. Based on the content of the EU electoral webpage, a chatbot was designed, trained and deployed on Telegram. Participants were randomly divided into two experimental groups (chatbot and website) and asked to find a list of crucial information, interact with the medium and then respond to the System usability scale (SUS), and a perception questionnaire. Observed data and interview notes were also taken. Analysis of the experimental data, observed data and surveys demonstrated that chatbot as a tool is inefficient as an electoral information tool because of the limitation of chatbot when out of scope questions are asked and limitation in following conversation contexts which is crucial to conversations. However, it is rated as above average on usability and joy of use, but raises questions on trust and data protection. It is recommended that the study be performed again when there are more advances to natural language processing to see if its efficiency as an electoral information medium will improve. A longitudinal study is also recommended to see if there’s a direct impact of chatbots as a tool, on young people’s motivation to vote. KW - Conversational design KW - Information KW - Chatbot KW - Election Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-4294 ER -