J.D. Lomas
Please Note
10 records found
1
Bag-to-Remote
An Integrated and Modular Baggage Delivery Service
Research encompassed both the current landscape and future prospects of secondary education. Interviews with stakeholders, desk research, and semi-structured interviews with CLD teachers shed light on the current adoption of ChatGPT and the associated challenges, including biases, inaccuracies, and privacy concerns. Despite its potential benefits, inappropriate use among students and limited engagement from teachers due to time constraints and lack of training were identified.
Using the Vision in Product Design (ViP) approach, the project anticipated future scenarios and identified teachers' predominant mindset as social and motivated. Design efforts focused on accommodating this mindset while acknowledging teachers' time constraints. A problem statement emerged, highlighting the need for teachers to develop knowledge of Generative AI amidst demanding schedules and unclear guidance.
Concept prototypes, including a lesson module and a website, were developed and iteratively tested at CLD. Feedback sessions with teachers informed refinements, resulting in effective solutions that addressed teachers' needs and expectations. A roadmap for integrating Generative AI into secondary education by August 2026 was devised, emphasizing collaboration, knowledge sharing, and experimentation. CLD and SCO Delft are positioned as potential leaders, leveraging their insights and concept prototypes to drive adoption across schools.
Ultimately, the project underscores the inevitability of Generative AI in education and the importance of teaching students to use and critique it effectively. Teachers play a crucial role in guiding students and should be supported with ready-made teaching materials, professional development opportunities, and ongoing discussions. Government regulation is essential to ensure privacy and accessibility for all. As AI evolves rapidly, the roadmap must be regularly reviewed and adapted to remain relevant and effective. ...
Research encompassed both the current landscape and future prospects of secondary education. Interviews with stakeholders, desk research, and semi-structured interviews with CLD teachers shed light on the current adoption of ChatGPT and the associated challenges, including biases, inaccuracies, and privacy concerns. Despite its potential benefits, inappropriate use among students and limited engagement from teachers due to time constraints and lack of training were identified.
Using the Vision in Product Design (ViP) approach, the project anticipated future scenarios and identified teachers' predominant mindset as social and motivated. Design efforts focused on accommodating this mindset while acknowledging teachers' time constraints. A problem statement emerged, highlighting the need for teachers to develop knowledge of Generative AI amidst demanding schedules and unclear guidance.
Concept prototypes, including a lesson module and a website, were developed and iteratively tested at CLD. Feedback sessions with teachers informed refinements, resulting in effective solutions that addressed teachers' needs and expectations. A roadmap for integrating Generative AI into secondary education by August 2026 was devised, emphasizing collaboration, knowledge sharing, and experimentation. CLD and SCO Delft are positioned as potential leaders, leveraging their insights and concept prototypes to drive adoption across schools.
Ultimately, the project underscores the inevitability of Generative AI in education and the importance of teaching students to use and critique it effectively. Teachers play a crucial role in guiding students and should be supported with ready-made teaching materials, professional development opportunities, and ongoing discussions. Government regulation is essential to ensure privacy and accessibility for all. As AI evolves rapidly, the roadmap must be regularly reviewed and adapted to remain relevant and effective.
However, Recharge had the problem that users lost interest after interacting with the app. This sparked the opportunity for this project. To explore what caused users to lose motivation and how design can play a role to engage and motivate users to finish the Recharge week.
The project started with a literature research on Recharge and the integration of design on the topics motivation and engagement. As a result, a journey roadmap and a user scenario was developed to get an overview of the company and the service they provide. Furthermore, a framework was developed on what features can boost motivation in design, and engagement guidelines were formulated. It appeared that the app was lacking in providing community feelings, creating personalization and customization features and providing enough feedback.
To confirm these results, in-depth interviews were conducted with current Recharge users. The interviews confirmed the previous insights and showed the value of adding guidance throughout the app, smaller tasks and prioritizing and reflecting on health more regularly. With these final insights, a design direction and vision were formulated.
In the developing stage brainstorming, experimentation and user tests were performed to iteratively develop the final concept. The concept consists of a new onboarding experience where users experience more choice freedom in picking their goals and obstacles. Furthermore, well-being questionnaires were formulated to measure the success of the week and guides users to see what they want to achieve.
A new checkbox system was developed where users could customize their tasks, participate in smaller tasks and personal recommendations were displayed based on the onboarding data. At last, reflection activities were added where users could select statements to make it easier to reflect on their day and a final survey of the week was added.
During the last user test more feedback and reflection activities were added to the concept, for example adding a final summary at the end of the onboarding, day and week. In the daily overview users could reflect on the tasks by ranking them in a top 3 category. Furthermore, after every small task and at the end of the day/week users could check their progress.
Although the last recommendations were applied, there was still room for improvement. To push Recharge in the right direction a strategic roadmap was created for the coming 2 years. This roadmap consists of the future user focus, future features, feasibility and the METUX spheres. At last, an evaluation of the project was conducted with it’s main takeaways and limitations. Finally, the project ends with a personal reflection on my ambition and learning curve. ...
However, Recharge had the problem that users lost interest after interacting with the app. This sparked the opportunity for this project. To explore what caused users to lose motivation and how design can play a role to engage and motivate users to finish the Recharge week.
The project started with a literature research on Recharge and the integration of design on the topics motivation and engagement. As a result, a journey roadmap and a user scenario was developed to get an overview of the company and the service they provide. Furthermore, a framework was developed on what features can boost motivation in design, and engagement guidelines were formulated. It appeared that the app was lacking in providing community feelings, creating personalization and customization features and providing enough feedback.
To confirm these results, in-depth interviews were conducted with current Recharge users. The interviews confirmed the previous insights and showed the value of adding guidance throughout the app, smaller tasks and prioritizing and reflecting on health more regularly. With these final insights, a design direction and vision were formulated.
In the developing stage brainstorming, experimentation and user tests were performed to iteratively develop the final concept. The concept consists of a new onboarding experience where users experience more choice freedom in picking their goals and obstacles. Furthermore, well-being questionnaires were formulated to measure the success of the week and guides users to see what they want to achieve.
A new checkbox system was developed where users could customize their tasks, participate in smaller tasks and personal recommendations were displayed based on the onboarding data. At last, reflection activities were added where users could select statements to make it easier to reflect on their day and a final survey of the week was added.
During the last user test more feedback and reflection activities were added to the concept, for example adding a final summary at the end of the onboarding, day and week. In the daily overview users could reflect on the tasks by ranking them in a top 3 category. Furthermore, after every small task and at the end of the day/week users could check their progress.
Although the last recommendations were applied, there was still room for improvement. To push Recharge in the right direction a strategic roadmap was created for the coming 2 years. This roadmap consists of the future user focus, future features, feasibility and the METUX spheres. At last, an evaluation of the project was conducted with it’s main takeaways and limitations. Finally, the project ends with a personal reflection on my ambition and learning curve.
This graduation project explores how to utilize Generative Adversarial Networks (GANs) – a subset of artificial intelligence (AI) – to motivate public engagement through the emotion of fascination and element of play. The final design of this exploration is an interactive exhibition piece that allows its users to create novel, AI-generated landscapes.
In the first phase of the project, hands-on exploration of the use of GANs as a design opportunity was conducted and the experiences of the exploration process documented. Further research through interviews with climate researchers and literature review into the topics of climate change helped to get an understanding of the climate context and map out and narrow down the solution space for the following ideation phase. The context research revealed that the current climate debate is deeply emotional, with mostly negative emotions like fear and hopelessness in its center. Yet, it was also found that fostering positive emotions like fascination and joy is a potential means to increase interest and motivate people to engage with climate initiatives. Based on the context exploration, a series of design prototypes were created and tested with participants to inform the final design.
The final concept LANDSHAPES is an interactive exhibition piece intended for the museum context. It features a circular projection of AI-generated aerial landscapes – images that look real, yet have never been seen by anyone before. The installation enables participants to become absorbed in the morphing landscapes and experience their potential impact on our surroundings in a playful, open-ended manner.
A preliminary installation was evaluated with participants using qualitative methods of observation and interviews. The installation evoked a deep sense of beauty, calmness, and inspiration that contributed to a meditation-like, engaging experience. Even without a predefined narrative, participants automatically associated the morphing images with our changing planet and ascribed meaning to the abstract visuals. The addition of control over the moving landscapes resulted in a mindset shift, as the experience transformed from a passive and meditative experience to an experience with additional cognitive involvement. The preference of experience differed between participants.
The design research conducted in this project strengthens the assumption that experiences with positive emotion in its center can be used to foster initial engagement with the topic of climate change. Furthermore, it showed that GAN technology can be used to evoke an emotional response, which offers interesting opportunities for future work. More specifically, the research suggests the potential for further development of playful experiences to make climate data accessible and engaging to the general public, as well as an opportunity to explore GANs that utilize emotional value as an input to generate targeted media that reinforces or counteracts the viewer’s emotional response. ...
This graduation project explores how to utilize Generative Adversarial Networks (GANs) – a subset of artificial intelligence (AI) – to motivate public engagement through the emotion of fascination and element of play. The final design of this exploration is an interactive exhibition piece that allows its users to create novel, AI-generated landscapes.
In the first phase of the project, hands-on exploration of the use of GANs as a design opportunity was conducted and the experiences of the exploration process documented. Further research through interviews with climate researchers and literature review into the topics of climate change helped to get an understanding of the climate context and map out and narrow down the solution space for the following ideation phase. The context research revealed that the current climate debate is deeply emotional, with mostly negative emotions like fear and hopelessness in its center. Yet, it was also found that fostering positive emotions like fascination and joy is a potential means to increase interest and motivate people to engage with climate initiatives. Based on the context exploration, a series of design prototypes were created and tested with participants to inform the final design.
The final concept LANDSHAPES is an interactive exhibition piece intended for the museum context. It features a circular projection of AI-generated aerial landscapes – images that look real, yet have never been seen by anyone before. The installation enables participants to become absorbed in the morphing landscapes and experience their potential impact on our surroundings in a playful, open-ended manner.
A preliminary installation was evaluated with participants using qualitative methods of observation and interviews. The installation evoked a deep sense of beauty, calmness, and inspiration that contributed to a meditation-like, engaging experience. Even without a predefined narrative, participants automatically associated the morphing images with our changing planet and ascribed meaning to the abstract visuals. The addition of control over the moving landscapes resulted in a mindset shift, as the experience transformed from a passive and meditative experience to an experience with additional cognitive involvement. The preference of experience differed between participants.
The design research conducted in this project strengthens the assumption that experiences with positive emotion in its center can be used to foster initial engagement with the topic of climate change. Furthermore, it showed that GAN technology can be used to evoke an emotional response, which offers interesting opportunities for future work. More specifically, the research suggests the potential for further development of playful experiences to make climate data accessible and engaging to the general public, as well as an opportunity to explore GANs that utilize emotional value as an input to generate targeted media that reinforces or counteracts the viewer’s emotional response.
Empowering smart city residents through legibility
A Digital Tool to Discover Smart City Projects
AI-powered smartglasses for visually impaired people to achieve greater independence and social integration
Design of a concept for visually impaired people that uses human assistance substitution when artificial intelligence is not reliable
Well-being Driven Design
Creating a Meaningful Streaming-platform
APPROACH
This graduation project first investigated what happiness consisted of, and how media entertainment could contribute to that. The conclusion was that people need to engage in mindful, intentional, intrinsically motivated media-experiences which well-balances short-term pleasure (Hedonia) with long-term happiness (Eudaimonia). Then, current platforms were analysed to understand why they exist and why they are currently designed the way they are and how this affects well- being. The conclusion was that current streaming-platforms are being created to maximize media-consumption which resulted in an over-focus on hedonia at the cost of eudaimonia and therefore people’s long-term happiness. As ViP focuses on re-framing and reinvention by creating future opportunities, instead of solving the present-day problems, a future context of 2020 had been outlined through an extensive analysis using academic literature, trend reports- and sites and interviews. The result was three meta-factors that described the world of 2020 as “embracing the mindful pursuit of meaningfulness’.
SOLUTION
ViP states that as a designer, you should take a position in this future vision. The goal of this project is to design a new streaming-platform that improves people’s well- being through media-entertainment, which resulted in the following statement:
I want to empower people to experience media-entertainment meaningfully, by guiding them in articulating their intentions through trusted others.
DESIGN
The new concept considers media-entertaiment as meaningfull experience packages and facilites people in finding these packages through the suggestions of trusted others, such as people close to the user (like family and friends) but also famous people/accounts (like inspirational influencers or design blogs).
Plus it empowers people to experience these entertainment-packages meaningfully by increasing their mindfulness through 6 steps.
The concept contributes to well-being by focussing on improving both the hedonic and the eudaimonic experience by increasing people’s autonomy, competence and relatedness, focussing on personal growth, achieving goals, finding meaning in life and improving people’s vitalty by better self-regulating their media-behavior.
...
APPROACH
This graduation project first investigated what happiness consisted of, and how media entertainment could contribute to that. The conclusion was that people need to engage in mindful, intentional, intrinsically motivated media-experiences which well-balances short-term pleasure (Hedonia) with long-term happiness (Eudaimonia). Then, current platforms were analysed to understand why they exist and why they are currently designed the way they are and how this affects well- being. The conclusion was that current streaming-platforms are being created to maximize media-consumption which resulted in an over-focus on hedonia at the cost of eudaimonia and therefore people’s long-term happiness. As ViP focuses on re-framing and reinvention by creating future opportunities, instead of solving the present-day problems, a future context of 2020 had been outlined through an extensive analysis using academic literature, trend reports- and sites and interviews. The result was three meta-factors that described the world of 2020 as “embracing the mindful pursuit of meaningfulness’.
SOLUTION
ViP states that as a designer, you should take a position in this future vision. The goal of this project is to design a new streaming-platform that improves people’s well- being through media-entertainment, which resulted in the following statement:
I want to empower people to experience media-entertainment meaningfully, by guiding them in articulating their intentions through trusted others.
DESIGN
The new concept considers media-entertaiment as meaningfull experience packages and facilites people in finding these packages through the suggestions of trusted others, such as people close to the user (like family and friends) but also famous people/accounts (like inspirational influencers or design blogs).
Plus it empowers people to experience these entertainment-packages meaningfully by increasing their mindfulness through 6 steps.
The concept contributes to well-being by focussing on improving both the hedonic and the eudaimonic experience by increasing people’s autonomy, competence and relatedness, focussing on personal growth, achieving goals, finding meaning in life and improving people’s vitalty by better self-regulating their media-behavior.
Self-tracking based on emerging sensing technologies combined with the personal informatics might be a promising way to motivate behavior change. Such products have been applied in sports and monitoring chronic diseases such as migraines, diabetes, and allergies. The abundance of commercial smart trackers can also prove that self-tracking is competent to help users to self-understand, make plans, and finally, change habits. However, there are no available self-logging products specifically designed for wheelchair users. Furthermore, because of the limitation of their bodies and different needs from regular people, wheelchair users can hardly find suitable commercial products.
To solve these problems, a smart connected wheelchair system is designed which applies emerging self-tracking technologies and machine learning. The wheelchair can monitor postures, sedentary time, upper extremity muscle load, exercise level, and energy expenditure. The App associated can record and report this data for users' better self-understanding. Various strategies for motivating behavior changing, including goal-setting, reward, self-monitoring, and sharing, are also integrated into this system. In this way, wheelchair users can make new plans according to their data and keep moving toward a healthier lifestyle.
An agile design approach in combination with technology-driven rapid prototyping, which includes multiple iterations of technology experimentation, prototype development, and user test, was adopted throughout this project. In the prototyping phase, the concept was divided into three parts including sitting, muscle, and cardiopulmonary. Three generations of the prototype were then built, focusing on validating the sitting aspect of the concept from the technical perspective. By utilizing a simple machine learning algorithm, the function has been realized with a relatively satisfying accuracy. It turns out that the concept has potential to benefit wheelchair users in the future. ...
Self-tracking based on emerging sensing technologies combined with the personal informatics might be a promising way to motivate behavior change. Such products have been applied in sports and monitoring chronic diseases such as migraines, diabetes, and allergies. The abundance of commercial smart trackers can also prove that self-tracking is competent to help users to self-understand, make plans, and finally, change habits. However, there are no available self-logging products specifically designed for wheelchair users. Furthermore, because of the limitation of their bodies and different needs from regular people, wheelchair users can hardly find suitable commercial products.
To solve these problems, a smart connected wheelchair system is designed which applies emerging self-tracking technologies and machine learning. The wheelchair can monitor postures, sedentary time, upper extremity muscle load, exercise level, and energy expenditure. The App associated can record and report this data for users' better self-understanding. Various strategies for motivating behavior changing, including goal-setting, reward, self-monitoring, and sharing, are also integrated into this system. In this way, wheelchair users can make new plans according to their data and keep moving toward a healthier lifestyle.
An agile design approach in combination with technology-driven rapid prototyping, which includes multiple iterations of technology experimentation, prototype development, and user test, was adopted throughout this project. In the prototyping phase, the concept was divided into three parts including sitting, muscle, and cardiopulmonary. Three generations of the prototype were then built, focusing on validating the sitting aspect of the concept from the technical perspective. By utilizing a simple machine learning algorithm, the function has been realized with a relatively satisfying accuracy. It turns out that the concept has potential to benefit wheelchair users in the future.
Escape the Smart City
Critical pervasive game to question the AI-surveillance infrastructure in the smart city
The technologies behind AI-surveillance are proprietary and the nature of it is inherently a “black-box” which inhibits public from understanding it and having a say in its deployment. Due to this reason, the citizens that live in the cities with smart surveillance are often left behind not informed enough about the consequences of the pervasive technology in their environment.
This research addresses this lack of awareness by creating an escape room like experience around the city where players locate hidden surveillance cameras, discover algorithmic biases, and try to fool facial detection algorithm in order to go against a fictional all-seeing AI-surveillance system. Consistent with Flanagan’s (2009) critical play model, the 8 problems of AI-surveillance defined in the research are communicated by the game’s procedural rhetoric (Bogost, 2007).
It also questions whether critical pervasive games — which are the combination of critical design (Dunne & Raby, 2013) and pervasive games (Montola et al., 2009) — is possible of merging the ordinary world with the fictional game world to create a safe space to explore complex socio-technical problems in compelling, relatable ways.
Through the play-test, it was made clear that by providing the players with interactive feedback on how AI-surveillance would perceive the world, the players were able to get a sense of the black boxed nature of AI and ask critical questions about their necessity and consequences. Also, the in-situ experience outside created a heightened awareness of existing surveillance infrastructures. ...
The technologies behind AI-surveillance are proprietary and the nature of it is inherently a “black-box” which inhibits public from understanding it and having a say in its deployment. Due to this reason, the citizens that live in the cities with smart surveillance are often left behind not informed enough about the consequences of the pervasive technology in their environment.
This research addresses this lack of awareness by creating an escape room like experience around the city where players locate hidden surveillance cameras, discover algorithmic biases, and try to fool facial detection algorithm in order to go against a fictional all-seeing AI-surveillance system. Consistent with Flanagan’s (2009) critical play model, the 8 problems of AI-surveillance defined in the research are communicated by the game’s procedural rhetoric (Bogost, 2007).
It also questions whether critical pervasive games — which are the combination of critical design (Dunne & Raby, 2013) and pervasive games (Montola et al., 2009) — is possible of merging the ordinary world with the fictional game world to create a safe space to explore complex socio-technical problems in compelling, relatable ways.
Through the play-test, it was made clear that by providing the players with interactive feedback on how AI-surveillance would perceive the world, the players were able to get a sense of the black boxed nature of AI and ask critical questions about their necessity and consequences. Also, the in-situ experience outside created a heightened awareness of existing surveillance infrastructures.