Month: April 2023

Encouraging young adults to better understand how their relationship with their environment affects their risks during a flood.

Premise Encouraging young adults to better understand how their relationship with their environment affects their risks during a flood by creating an interactive story with Streamlit and a Recommender System.   Synopsis Residents of the Netherlands are at risk of experiencing coastal and river flooding. If such a situation arises, it is important to take […]

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Using Chatbot to help ADHD Adults Find Personalized Study Strategies

PREMISE Helping adults with ADHD to focus better while studying by suggesting personalized study strategies using chatbot technology. SYNOPSIS ADHD or “Attention Deficit Hyperactivity Disorder” is a neurodevelopmental disorder, mostly characterized by inattention, impulsivity, lack of motivation, and hyperactivity. Individuals with ADHD are diagnosable from early childhood, but the symptoms last into adulthood in most […]

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How can a recommender system be used to prevent filter bubbles on social media?

Premise Creating a visual recommender system prototype which potentially can help to prevent filter bubbles on social media. Synopsis “If we want to know what the world really looks like, we have to understand how filters shape and skew our view of it.” Pariser, (2011, para.3). This quote perfectly reflects the issue of filter bubbles […]

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A chatbot to encourage self-disclosure

Premise A conversational agent to make students with anxiety feel comfortable to self-disclose.   Synopsis Students with anxiety have a harder time self-disclosing to others. Anxiety can cause individuals to avoid social encounters, expect negative evaluations, and disclose less personal information. On the other hand, self-disclosure is critical for developing an identity, self-worth, and overall […]

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Developing a Color Recognition Model and Mobile App to Improve Clothing Pairing Decisions for Individuals with Color Blindness

 “Developing a Color Recognition Model and Mobile App to Improve Clothing Pairing Decisions for Individuals with Color Blindness” Premise: This research aims to develop a color recognition model using Lobe, and a mobile app in Figma to scan clothing items and provide color information, assisting individuals with color blindness in making more informed clothing pairing […]

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How can a chatbot be an energy saver: Using a chatbot (with a recommender system back-end) as an energy assistant for reducing electricity consumption in Dutch households.

PREMISE   Reducing Dutch households’ electricity consumption using a chatbot with a recommender system that provides personalized usage tips based on their usage pattern. SYNOPSIS This study aims to develop a chatbot with a recommender system back-end that can help households reduce their electricity consumption by offering usage patterns and recommending energy-efficient alternatives. The chatbot can […]

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Using Brain-Computer Interfaces to support students’ stress management

Premise Developing a BCI/EEG-based prototype to increase awareness of stress patterns in higher education students during the exam/graduation period. Synopsis This research project aims to develop a prototype Brain-Computer Interface (BCI) to help higher education students cope with stress and procrastination during exam time. Using the Emotiv Epoc+, which provides real-time metrics, the project went […]

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USING CHATBOT TECHNOLOGY TO ASSIST STUDENTS IN USING THEIR LEFTOVER INGREDIENTS AND REDUCE THEIR FOOD WASTE

PREMISE Using chatbot technology to assist students in using their leftover ingredients efficiently by suggesting personalized recipes. SYNOPSIS The production of food is one of the major drivers of global greenhouse gas emissions. Greenhouse gases are the reason for a multitude of environmental and health consequences. The environmental impact of food production and consumption is […]

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