OUR WORKSHOPS

 
 
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Workshop #1

How to design next-level in-car-experiences with voice with Tim Kahle, 169 Labs GmbH

Voice assistants are already far more than a hype. They conquer living rooms, worldwide. Automobile manufacturers are following the trend and are now getting themselves ready for Alexa & Co. to become mobile. But how do you design outstanding Voice Experience for this special everyday situation in our car? In the workshop with Tim Kahle from 169 Labs, one of the leading Voice Asisstant agencies in Germany, you will learn the principles of designing applications for voice assistants. With demonstrations of best practices and the answer to the big question: How do I find my use case in a mobile environment? Learn why voice technology and cars are finally a perfect match.

 
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Workshop #2

Storytelling for engineers with Julia Peglow, Blogger of diary of the digital age

The automotive industry, particularly the UX and connectivity departments, are mainly driven by technological advancements. It’s the engineers who work on the future of mobility and the human machine interface – with their specific skill set andm indset: Developing construction plans and wireframes, thinking a machine from the inside to the outside. It seems as if the main discussion is solely evolving around the question if the HMI is going to be communicating via user interface, gesture control or voice.

But the real question is: How can we take up a change of perspective? How can we truly humanize technology so people are not afraid to use it. It’s about relationship, isn’t it? It’s about trust. And this happens when tech starts speaking our language. When engineers start thinking in narratives and stories. Time to do some work on our storytelling skill.

 
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WORKSHOP #3

A Monkey's Brain in the Rolling Robot: Humans and Autonomous Driving with Dr. Peter Rössger, beyond HMI

Technology is in place to allow autonomous driving. An open questions is, if humans are ready for a revoluton in mobility. With our stone-age genetical setting and years of experience in manual driving we tend to overtrust or undertrust the capabilities of a rolling robot. In this workshop we will discuss concepts like misuse and disuse, overtrust and undertrust, ethical aspects, situation awareness, mode awareness, loss of skills, and how to solve the issues with cabin interior and HMI solutions. Be ready to join a highly interactive workshop bringing you together with experts from the autonomus driving arena

 

WORKSHOP #4

Hands-on implicit automotive UX research: Experience, discuss and learn about the research methods you really need with Philipp Reiter, eye square

Customers will have to adopt many new technologies and interfaces in the future. Complexity and number of functions rises. Traditional methods assume that users can explain their needs and attitudes rationally with careful consideration and weighting of attributes like usability, functionality or engagement – like rational agents would. However, modern methodologies acknowledge that our perception, feelings and intuition affect our decisions. This implicit approach suggests a rather non-computational and sometimes non-rational user who uses heuristics only when asked. Therefore, innovative methods need to be combined to get a holistic picture of a customer’s mind. Perception, implicit/emotional as well as explicit/rational dimensions of product experience need to be considered. Methods like eye-tracking, free behavior analysis, reaction-time based questionnaires, emotion assessment or in-depth psychological interviews can help to reveal what we really want to know.

 In the workshop we want to explore how users’ needs are built and which methods can help us to understand them holistically. We will exchange ideas and talk about our experience with different research methods. We want to focus on the following questions:

When applying traditional questionnaires: Which questionnaires from UEQ to AttraktDiff can be recommended? What are the boundaries of traditional methods? Which implicit methods can enrich our insights? When do implicit methods make most sense? How can UX research from other fields be brought into the automotive field?