Dorn helps Indivduals to defend themselves against assaults. The project contains two products, that offer users help in different ways. Everybody should be able to defend themselves, regardless of experience or self-confidence.
ScharfDorn works as a pepperspray to eliminate oppo-nents without physical contact and is designed for people that shy at direct combat and have little confidence in their abilties. SpitzDorn however is used as a Kubotan – a cylindrical object that is used by different martial arts for effective self-defence.
Beside the active defence mechanism, the product inter-acts with a dedicated app. It uses the wide range of fun-ctions a smartphone offers to support people in emergen-cy situations. With the simple push of a button, it can set of an emergency call, including location. It can also record audio for further use. These can help to identify attackers or act as proof if legal action can be taken. Both versions of the product are masked as pens to avoid attention in everyday life.
IAugmented Design discusses the visualisation of ideas in the design process, possible augmentation with artificial intelligence and its impact on design itself.
Generative artificial intelligence will cause a revolution in image generation. Could designers use this technology for their tasks? To visualise ideas – one of our most crucial skills – we already use software almost exclusively. Yet these tools will change dramatically as part of the rapid advancement in AI. Will this assist human creativity or manipulate our designs too much?
The pracitcal part of the thesis dealt with the leading question: “How might designers use the generative power of artificial intelligence for the visualisation of ideas?”. It lead to three concepts of these potential tools. They show that AI can indeed be used as a useful instrument. But quick, self-made visualisations will remain indespensable for the development of ideas. However, the human focus in the design process will shift more and more towards their own creativity.
Team: Annelie Kolckmann, Alissa Beer, Nathalie Mader
Flexibility is one of the most important factors in the future of work. Yet no one understands what exactly the term means in this context. Therefore, it is often abused to force unwanted methods of work on employees and justify more work or longer hours.
Uncover has defined flexibility as 20 measurable factors in the four categories time, location, money and profession. The users take a test to evaluate their individual flexibility. Afterwards, our platform enables them to find a position that fits their profile perfectly.
Our strategy also targets the hiring process. We want to shift the focus from professional adequacy to soft facts, that are essential for successful teamwork. Flexibilty is the most important aspect of this. To achieve this, uncover provides living CVs, that are realised with blockchain technology. The process of agreeing on an employment contract also gets fully automated with the aid of artificial intelligence. By providing this service, we can ensure that flexibility gets established as the most important factor here. Employers profit from a significantly more effecient hiring process. Employees can uncover their individual flexibility and arrange their job accordingly.
Team: Marvin Denk | Cooperation with H.P.Kaysser
Our vision was a simple and elegant system, designed for a workstation. We mainly focussed on cable management, connection to an outlet and straightforward assembly. The profiles have to be aligned and mounted with screws. Now all shelves can be fit without additional tools. Its weight is distributed to the wall via small support surfaces at the bottom. This way, the system is reassembled incredibly fast and convenient.
All cables get clipped into the profile and are later hidden with covers. These have to be hinged at the top of the profile. On the bottom, strong magnets attach one to the other. A large amount of cables can be led covertly to the shelves this way. With the simple extraction of cables, electronic devices can be removed, added or rearranged.
Team in the first part: Jonathan Aichele, Marvin Denk
Flare is a bike helmet that protects cyclists in case of a fall, as well as avoiding accidents beforehand by increasing visibility.
The outer shell is made from deep-drawn, translucent plastic, that can slide on asphalt (in case of a fall). It is also a perfect light guide. The form of the general shape and the lights is precise and geometric to avoid confusion of the activated signals. The blinkers are seperated by the rear light and show a clear direction. The latter also works as a flashing brake signal to warn other drivers. I placed two additional LEDs at the bottom of the helmet. These give visual feedback to the user once the blinker is triggered. The helmet is operated with a partial glove. Thin buttons are placed beneath the fingertips. They activate the according bliker when pressed strongly.
In the first part of the project, we developed the Product under the name Lunox in a team of three. We completed the semester with a functional model. I continued to work on the project alone and concentrated primarily on form and operation. Products with almost identical function are produced by other companies by now.
Team: Nico Göckeritz, Mark Meyer
Cooperation with Paulinenpflege Winnenden
ae:mote provides a training set for emotions to autists and their caregiver or parents. We create specific dialogues to make emotions visible and learnable for autists.
The set contains cards with different topics that can be used to create a controlled conversation. The digital component can be used as soon as the dialogue begins. The smartphone has to be set up with a simple fixation in the center of the table so it won’t disrupt the discussion. The attached mirror enables the recording and analysis of the parent or caregiver. The fixation also serves as the packaging of all included materials. It can be bundled up and stored easily once the conversation is finished.
The application recognizes emotions using the framework Affectiva and its neural net. The result is displayed to the user in addition to contextual information. Using the quiz mode, emotions can also be queried.