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Introduction to VR/AR/AI – Terms, Technology, and History

For designers and thought leaders who may be considering adopting these technologies. Review the technologies and the terms we use, remember some of the innovators and see what we can do on the web in 2018.

Takeaways: Learn VR/AR/AI terms to be able to communicate your design and project vision. Develop a broad understanding of VR/AR/AI technology. Create a list of VR/AR/AI pioneers and topics for additional study.

Attendee Skill Level: No specific technical skills needed. Brief overview of device features and computer graphics topics.

Samantha Porter

Samantha is doctoral candidate in anthropology and a full time staff member in Liberal Arts Technologies and Innovation Services at the University of Minnesota, Twin Cites. Her research interests include the application of new and accessible technologies to archaeology and cultural heritage including 3D scanning, 3D printing, and virtual and augmented reality.

Help I’ve Fallen and I Can’t Get Up: Tackling Vertigo in VR

Movement in VR when not at roomscale is tricky and can often cause motion sickness in players. Siblings Martha and Henry Megarry will go through their experiments with different input techniques for the HTC Vive in their quest to solve this problem. They’ll talk about their successes and failures of using virtual ski poles to fly, using a Dance Dance Revolution mat as a controller and more! Try out their creations at the end of the talk (equipment/space permitting.)

Takeaways: Attendees will learn about what works and what doesn’t work for movement in VR. They will gain inspiration and techniques that they can use in their own VR projects.

Attendee Skill Level: Minimal- we will be showing/explaining everything we are talking about

Machines + Humans: Marketing AI’s Real-World Impacts

It’s too easy to look at AI and immediately go to the extremes. AI will replace our jobs! Machines will take the fun out of marketing! What’s next? Creative spots? The same thing happened at the dawn of the Web, and look where we are today. Marketing AI is essentially providing horsepower to work that marketing people never wanted to do anyways, from sifting through massive amounts of data to develop real-time business intelligence or establishing dynamic audience targets that media planners can execute against. Hear from people who are actually using AI to better their work.


  • Practical, near-term uses of AI vs. the broader, unproven claims
  • Currently available technologies for AI
  • Organizational efficiencies gained through use of AI

Attendee Skill Level: Data and marketing analysts

Kristen Findley

Kristen is one of the original “cicerones.” She started at Ciceron way back in 1999 and helped the company grow during some of the earliest days in the company’s history. During that time, she oversaw the growth of our development and project management team while launching many of Ciceron’s first digital marketing efforts. During her first tenure at Ciceron, she was a beta tester for a small new ad platform called Google AdWords as well as worked with a small email marketing start-up sub-leasing in the Ciceron offices called ExactTarget, a company acquired by Salesforce for $2.5 billion. As they say, the rest is history.

Kristen spent several years leading digital marketing and analytics teams at major brands like Ameriprise and Carlson Marketing as well as working agency-side with a variety of Fortune 100 clients in consumer packaged goods, travel, retail, and causes. Kristen speaks regularly at industry conferences on consumer research, web analytics, UX, and digital marketing.

In 2014, Kristen returned to Ciceron. She now leads all consumer insights work for the firm which gives her an all-access pass to massive amounts of consumer data. This makes her happy. In addition, Kristen is the expert liaison between Ciceron and our many technologies partners, including Equals 3/IBM Watson, our partner in marketing AI.

Aside from Kristen’s love for digital, she plays on a women’s hockey league and teaches yoga.

Max Thorson

Max is a research software engineer at space150.

Best Practices: Getting Up & Running In AR

With the launch of iOS11, millions of people across the globe now have access to amazing augmented reality capabilities, and Apple will continue to build a business on its framework, ARKit. But for developers and teams, there remains a lack of knowledge for how to practically and efficiently take advantage of the technology. In this session, we’ll share recent case studies on how we developed and launched two ARKit apps from prototype to public application. We’ll also share a practical tutorial on using ARKit with Unity and adapting 3D models for use in AR. Finally, we’ll share our thoughts on the future of AR app development, and showcase some up-and-coming cross-platform development tools to take advantage of both ARKit and Google’s ARCore.


  • Basic understanding of how ARKit / ARCore is working
  • Awareness of the (increasing) approachability of building AR experiences
  • Understanding what applications AR well suited for
  • Effectiveness of a simple prototype to explain or sell idea to stakeholders

Attendee Skill Level: Intermediate

Researching Emerging Technologies: Is Your Product a Novelty or Does It Solve a User’s Need?

You have a great idea for a product, but you are not sure it is something people will use. Your idea also happens to utilize emerging technology, so users may have a limited mental model, or no mental model for your product. How do you know whether or not you should build it?

In this session you’ll learn how UX research can help you gauge the likelihood of use, and how feedback from users can help you make your product even better. Whether you’ve got an idea, a prototype, or a minimum viable product, this session is for you. Through research tips, as well as industry and Target Corporate research examples, you’ll leave with new tools to help you better understand what your product means to users.

Takeaways: By the end of the session you will know:

  • How to pull apart the awe factor of new technology from a user’s true likelihood of adoption and use
  • Types of questions to ask to understand how to evolve your product
  • Observation versus conversation: when to use which research method

Attendee Skill Level: This session is appropriate for all skill levels, although some familiarity with research is encouraged.

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