Video Prototype – Team 3

With KInspire we developed a powerful tool to help you with your team’s Brainstorming process, to get that one million dollar idea. KInspire is an AI assisted smart software, designed for people working in the creative industry. It was made to bring structure to disorganised meetings, to inspire your team, and to assist with solution finding along with bundling already found solutions to a focal point, in a quick but fun manner.
By simply inputting a prompt or topic into the app it provides multiple different design ideas. Each member of your team can then rank the ideas on their device in terms of innovation and feasibility. Additionally feedback can be given afterwards: what did you like about the idea? What could be done better? Do you have any other suggestions for improving on the idea itself? Based on the ranking and the provided feedback kInspire adjusts and improves the ideas. After any number of reiterations you get the top ranking 5 ideas visualized and can now start the discussion within your team. By clicking on one idea, KInspire offers the detailed view, showing precisely which aspects are in favor of and against the idea, packed with a list of datapoints and descriptions hiding behind every single one. Through countless re-iterations your idea can be precisely refined, which leaves you with the idea of your dreams every time.

The benefits of KInspire are more than obvious. Brainstorming sessions, be it the convergent or divergent phases in the discussion tend to get worse the more people you have. You might think to yourself, “well the more people the better the ideas and higher the creative output!” and you’d be right. In brainstroming sessions without kInspire however, these meetings tend to get out of hand. Not everybody can get a constructive word in, people get frustrated and the theoretical potential of everybodies brainpower summed up is never reached. kInspire eliminates all of those problems. Through AI improved ideas or idea suggestions, anonymous feedback, and the intricate but simple voting system youre sure to leave with the best idea possible at all times.
With an ever growing database and constantly improving AI technology, kInspire is getting smarter by the minute and is already blowing the competition out of the water. Fundraisers are not needed as we have already developed the software. Advertising is not needed as we already have a strong, reputable and stable userbase. We already have a patent on our one of a kind technology so the question is not what are our next steps, the question is what are yours and what new heights are you reaching with the assistance of kInspire?

Videoprototype, Team 04

DesAIgn is a cutting-Edge AI Assistant, which is tailored for every designer who seeks optimizing his or her creative process. It’s an artificial intelligence-driven innovation which creates multifaceted solutions that help create a more simple and efficient design process.

DesAIgn functions by using its memory and creative capacities. DesAIgn remembers all of the Designers interactions with past or current clients including both finished and unfinished projects. Using its creative capabilities, DesAIgn is able to create Mockups and templates tailored to the specific needs of the designer. The Mockups and templates can also be aligned with data gathered from previous interactions with the customer if those exist. Using the customization function, a designer could implement his or her creative vision or simply enhance the look and function of the templates provided by DesAIgn. However, if a project is paused by a designer for any reason, DesAIgn eliminates the burden of having to find or restart those projects by archiving them and granting access to the designer whenever needed. It can also provide summaries for any existing projects, both finished and unfinished.

DesAIgn is a very valuable asset to any designer. Firstly, it can save a designer a lot of time, by simplifying the mockup creation process. Secondly, it guarantees consistency by creating designs based on a clients previous projects, which preserves the clients brand identity. Thirdly, a designer is always in control and is free to apply his creativity at any given point due to the flexibility of the customization function. Fourthly, the designer is never in danger of losing progress on his projects, since DesAIgn archives all projects in real time. This also makes it possible to return to paused projects.

Moving on, the first step would be the seamless integration of DesAIgn into the workspace. At the same time gathering user feedback is the key to updating DesAIgns functions and refining its AI algorithm.

VIDEOPROTOTYPE – GROUP 5

Meetings are quite infamous for their lengthiness, lack of participation from attendees and overall boringness. But what if meetings could not only be informative, but also entertaining? That’s exactly what our concept “Meet Bowl” is!

The way “Meet Bowl” works is incredibly simple. Essentially, “Meet Bowl” is a virtual meeting tool that has a voting feature on the progress of the meeting in the form of a digital salad bowl. Each participant can place virtual “ingredients” in the bowl to indicate that they are satisfied with the current topic and are ready to move on to the next item on the agenda. When all votes, i.e. ingredients, on the current topic have been cast, it is decided, that the meeting will now address the next topic.
Voting takes place completely anonymously as to prevent effects of social pressure.
Once the salad bowl is completley filled, attendees can decide to leave the meeting or end it altogether.

The benefits of “Meet Bowl” are obvious:

The game-like interaction can increase participant engagement while at the same time helping to make meetings more efficient. “Meet Bowl” allows accelerated discussion of topics which saves time and valuable resources.
It also provides an opportunity for speakers to get immediate feedback on the mood of the audience and to be able to react to it.
Through more active participants and clearer signals of progress, better decision-making can be achieved with “Meet Bowl”. It can also lead to a fairer and more balanced distribution of speaking time.

We believe that a concept like “Meet Bowl” could fundamentally change the meeting culture.

Videoprototype – Team 1

WireFramR is a tool to support the creation of digital prototypes in the form of wireframes. With the help of an AI, the design results are then optimized and clearly displayed in order to relieve the designer team in their work in the best possible way.

The tool listens to the ideation through speech recognition and implements the discussed content in real time in digital form. WireFramR reacts to special key phrases such as “I imagine it this way … “. The smartphone can act as a microphone. As long as there is a connection to a laptop or PC running the program, it can work perfectly. The voices of the individual participants are distinguished. In this way, a certain idea can also be assigned to a specific participant.

The tedious conversion of paper prototypes into digital prototypes is replaced by WireFramR, which proves to be a great advantage in the design process, as it can save time. In addition, the tool stores all steps during creation, so that a past state can be used at any time. As a result, no ideas are lost and the design process remains transparent and well structured for all parties involved. In this way, comparisons between different ideas can also be well visualized. Votes on various proposals in the team are therefore also well possible. WireFramR can also be integrated as a plugin for existing prototyping programs such as Figma or Miro. This can ensure that the previous design workflow is not completely renewed, but only receives an additional function. The created digital prototypes can then be used as usual.

Videoprototype – Team 6

When working with external collaborators, people in the creative industry have to invest too much time asking how far along their colleagues are, or reminding them of the project’s deadline. Instead of writing dozens of uncomfortable emails, “Duedle” makes motivating others to meet their deadline as simple as sharing a single link. Upon opening this link, one is presented with an image of an egg, as well as a list of AI-generated tasks. The tasks may be edited or accepted as they are, after which a cute creature hatches from the egg. The creature grows with each completed task, slightly changing its appearance. The creature itself and all its growth-stages are AI-generated, making every creature unique. As tasks are being checked-off, the supervisor can simply check the progress through Duedle. Once all tasks are completed and the deadline is met, all that is left to do is for the supervisor to confirm the finished project. After this, the creature in its final stage will be added to the collection, where all other collected creatures are also displayed. However, if one misses the deadline, the creature dies and will not be added to the collection. 

Duedle motivates people to meet their deadlines by letting them take care of a cute creature, and rewarding them whenever they complete a task. The collection allows people to compare their unique creatures to those of co-workers, which is another incentive to collect creatures and meet deadlines. The overall goal is to create a positive, stress-free environment for both the supervisor and their colleague. In the future, Duedle could be used in other areas of work as well. Some next steps would be gathering user feedback, before refining the AI that creates the creatures as well as the UI of the website itself.

Videoprototype – Group 2

As the final result of this course, we developed a video prototype on our product. It is a universal software, based on artificial intelligence, that is able to deal with different company internal systems, like the ones for requesting vacation, reporting sickness or calling colleagues. Our AI called ERICA combines these systems into one easy to understand interface. Users also have the possibility to ask ERICA questions if they don’t know how to do certain administrative tasks or want to receive specific information on in-house topics.

Our approach has many benefits. A system like ERICA can help new employees to deal with often complicated administrative tasks by being able to answer questions that might occur, or directly execute specific chores. Longstanding staff members also benefit of our system. Repetitive duties that have little to do with the actual work are taken away from them, which creates the possibility to be more efficient in the work on design processes. Another advantage of our product is its universality. Even though we focused on the deployment in creative industries, it is very well conceivable that other sectors might benefit as well, as the problem of having a lot of different systems occurs in many companies. Besides, the features shown in this video prototype are just a start and many more are imaginable.

We are well aware that our process only focused on the part of user needs and didn’t pay attention to technical possibilities and concerns. (So far) none of us knows how to implement an actual AI-client or knows what to look for in business questions. But this is just the current state of our knowledge, and as we continue to learn, you might hear from ERICA again.

Concept – Team 3

Brainstorming has always been central to the design process. Seeking ways to improve its efficiency and boost the designer’s creativity, we asked ourselves, “How might we integrate AI systems to support brainstorming in design teams and encourage new, unconventional ideas?”

We began by sketching concept storyboards to visualize our idea. After presenting these initial storyboards to our peers, we collected valuable insights and feedback, allowing us to refine our vision further.

From this process emerged our app, kInspire, designed specifically for design professionals.

When a team gathers for a brainstorming session and gives the AI a specific topic, the system presents a set of ideas. However, it’s more than just a passive idea generator. Designers actively rank suggestions based on innovation and feasibility. This feedback loop enables kInspire to adjust and refine its ideas in real-time during the brainstorming session, leading to an array of innovative concepts the designers can then work with.

Concept – Team 1

Creating a storyboard was one of the most significant steps towards a successful video prototype. Our product “WireframR”, an interactive AI for generating website prototypes, was to be implemented according to the “show, don’t tell” method.

To give the user a clear picture of what our prototype can do, we therefore applied a “problem-solution structure”:

Peter’s group of designers descends into chaos, confused and annoyed as they talk to each other without having a picture of each other’s ideas in their heads. During the lunch break, one of the designers talks about his frustration with his friend Hans from another designer company. Hans has a great solution for his colleague, called “Wireframr”. His company interacts with our voice-driven tool on a regular basis, which implements all suggestions and design decisions for websites in real time. As a result, all employees understand their colleagues’ visions, waste hardly any time on tedious explanations, and are therefore much more relaxed than Peter’s team. Peter is thrilled, doesn’t want to waste any time and wants to introduce the tool directly to his colleagues.

Concept – Group 5

As a result of the analysis of the five interviews we conducted, we formulated a number of insights from which we then derived ‘How might we’ questions. The ‘How might we’ challenge we agreed to tackle is: ‘How might we make meetings more entertaining and time-saving?’ We generated various ideas as potential solutions, and after some discussion and evaluation, we decided on three ideas to implement as storyboards.

The first idea is a progress bar represented by a salad bowl designed to speed up the progress of meetings. Meeting participants can indicate that it is time to move on to the next point on the agenda by adding ingredients to the salad bowl.

As the second idea, we conceptualized a gamification system that rewards completed tasks with coins. These coins could be exchanged for rewards such as snacks.

Our third idea is a tool that can automatically transcribe meetings using AI. After the meeting, users could use the tool to decide which points should be prioritized.

After receiving feedback on these ideas, we finally chose to implement the salad bowl idea as our video prototype.

Concept – Team 6

After completing our user research, we analyzed our results and finally asked ourselves the question “How might we bring external collaborators to meet deadlines?” We brainstormed many ideas to answer this question, which inspired our final storyboard. The issue we are addressing is people in the creative industry having to write many emails reminding external collaborators to meet their deadlines. This wastes time that could otherwise be used to work creatively. Instead of having to write many emails to remind the collaborator of their deadline, our solution is as simple as sending them a single link. When the collaborator opens the link they are taken to a website with a list of AI-generated tasks which are needed to complete the project and meet the deadline. They can edit these tasks or simply accept them, before a small cute AI-generated creature appears. With each completed task the creature grows. If they successfully meet the deadline, the creature gets added to a collection, but if they miss the deadline the creature dies.