When artificial intelligence meets user experience
- 1. User Experience & Artificial Intelligence A designer’s view on AI assisted UX, or how Jacob met T-800 by Avissar Tim Alex | June 2018.
- 2. Disclaimer “ ” With artificial intelligence, we are summoning the demon. In all those stories where there’s the guy with the pentagram and the holy water, it’s like, yeah, he’s sure he can control the demon. Didn’t work out. Elon Musk
- 3. Here to talk about… AI 101 Can we ignore it How others are doing it today Some AI fun
- 4. The theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. ar·ti·fi·cial in·tel·li·gence
- 5. ar·ti·fi·cial in·tel·li·gence Artificial Intelligence (AI) is a way of making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think. AI is accomplished by studying how human brain thinks, and how humans learn, decide, and work while trying to solve a problem, and then using the outcomes of this study as a basis of developing intelligent software and systems.
- 6. 11 May 1997 Deep Blue beats a reigning world chess champion 1950 Alan Turing proposes the ‘Turing Test’ Isaac Asimov published his ‘Three Laws of Robotics’ Antiquity Myths of Hephaestus of intelligent robots and artificial beings 1642 Blaise Pascal invented the mechanical calculator, the first digital calculating machine 1915 Leonardo Torres built the fist chess playing automaton, the El Ajedrecista 1941 Konrad Zuse built the world’s first programmable computer A Brief History of AI 1206 Al-Jazari created a programmable orchestra of mechanical men 800 Geber develops the theory of Takwin,, the artificial creation of life in the laboratory
- 7. Machine Learning ‘ML’ Machine learning is one process by which a computer can learn its trade. The philosophy behind machine learning is similar to how you or I learn about something: by experiencing it.
- 8. Artificial Intelligence ‘AI’ Artificial intelligence refers to a computer program able to “think” for itself without programmed instructions. Machine Learning ‘ML’
- 9. AI Machine Learning Deep Learning Natural Language Processing Computer Vision Pattern Recognition
- 10. I. Artificial Intelligence Explodes: New Deal Activity Record For AI Startups. CB Insights, 2016. https://www.cbinsights.com/research/artificial-intelligence-funding-trends/ Artificial Intelligence Explodes: New Deal Activity Record For AI Startups I
- 11. Investment in AI should follow an upward trajectory in 2017 and is likely to be the most popular area of investment for tech- savvy venture capital firms. As virtually all industries catch up with the technological advances AI presents, and as they seek to implement them one way or another into their businesses and structures, AI is set to become more than a trend – It will become a moving feast for years and even decades to come. I “ ” I. Artificial intelligence: the investment of 2017 and beyond. February 2017 | EXPERT BRIEFING | PRIVATE EQUITY & VENTURE CAPITAL, financierworldwide.com
- 12. A business dependent on recommendation engines built on machine learning and massive piles of user data about products and purchases. Built on it’s news feed and ad network, structured to maximize user activity and advertising engagement based on trillions of data points and behaviors. A business dependent on recommendation engines built on machine learning and massive piles of user data about movies and media. Built on its search engine, arguably the most ubiquitous and meaningful application of artificial intelligence the world has ever known.
- 13. AI acquisitions 11 since 2012 Innovations Uses machine intelligence to help users sort, curate and find content on Google Photos Tech giants investing and innovating in Artificial Intelligence AI acquisitions 7 since 2012 Innovations Working on bringing AI to iPhone chip processors, known as Apple Neural Engine AI acquisitions 5 since 2012 Innovations Built AI software that ‘narrates’ photos for blind people, as well as AI that maps global internet use AI acquisitions 5 since 2012 Innovations Developing products like Intel Xeon, Saffron and Theano to make AI accessible to business AI acquisitions 5 since 2012 Innovations 22 AI based APIs available to developers in Microsoft Cognitive Services AI acquisitions 3 since 2012 Innovations Watson, IBM’s question answering AI computer system AI acquisitions 3 since 2012 Innovations Einstein, Salesforce’s AI platform AI acquisitions 1 since 2012 Innovations Embedding AI into all its major businesses, including its search, and autonomous driving programs AI acquisitions 2 since 2012 Innovations Using machine learning for charging the users for what they are likely to pay AI acquisitions 4 since 2012 Innovations Uses deep learning algorithm to rank tweets
- 14. Sound First …music emanate from our alarm clocks in the morning, and fill our cars, and give us chills, and make us cry. I. Why Does Music Make Us Feel? Scientific American, September 2009. https://www.scientificamerican.com/article/why-does-music-make-us-fe/ “ ”
- 15. 10% of Global Consumers Own AI Devices Such as Automated Personal Assistants, Smart Speakers I I. pwc - 2018 Global Consumer Insights Survey. https://www.pwc.com/gx/en/industries/consumer-markets/consumer-insights-survey.html
- 17. The Uncanny Valley AI – NI: A delicate balance
- 18. Prosthetic Hand Stuffed Animal C-3PO Corpse & Creepy human like robots The relationship between the degree of an object's resemblance to a human being and the emotional response to such an object.
- 19. AI – NI: A delicate balance do & don'ts Do provide full user control to override AI decisions Don’t be a stalker Avoid threat to user’s self esteem & work security Do not expose the extent of AI knowledge Make the user, not the AI feel accomplished Make a clear distinction between human and AI tasks
- 20. Airbnb's ‘Price Tips’, is an AI tool that “lets Airbnb hosts see exactly where they should set the price of their property on a day-by-day basis to make it most likely to be rented”
- 21. I. The Netflix Tech Blog, March 2016. https://medium.com/netflix-techblog/extracting-image-metadata-at-scale-c89c60a2b9d2 Extracting image metadata at scale Netflix has a collection of nearly two million images that play very prominent roles in helping members pick what to watch. Netflix uses computer vision algorithms to address the challenges of focal point, text placement and image clustering at a large scale.
- 22. I. The Netflix Tech Blog, March 2016. https://medium.com/netflix-techblog/extracting-image-metadata-at-scale-c89c60a2b9d2 Focal Point AI to identify body positioning: close-up, upper-body or a full body AI that auto-selects the ‘best’, ‘most interesting’ person AI that detects and blurs edges for images that don’t have a human
- 23. I. The Netflix Tech Blog, March 2016. https://medium.com/netflix-techblog/extracting-image-metadata-at-scale-c89c60a2b9d2 Text Placement AI to determine what would be the best place to put text on an image, the ‘New Episode’ badge and placement of subtitles in a video frame
- 24. I. The Netflix Tech Blog, March 2016. https://medium.com/netflix-techblog/extracting-image-metadata-at-scale-c89c60a2b9d2 Image Clustering Netflix creates flavors of artwork for different title to learn which image is more effective globally. AI determines a similarity index to group images together by: 1. Histogram based distance 2. Structural similarity 3. Feature matching 4. Color similarity
- 25. Eye opener Reference Original Photoshop Facebook A Machine learning system that tries to fool itself into thinking its creations are real. One part of the system learns to recognize, faces, and another part of the system repeatedly creates images that, based on feedback from the recognition part, gradually grow in realism. I. https://techcrunch.com/2018/06/16/facebooks-new-ai-research-is-a-real-eye-opener/
- 26. Enterprise UX adoption of artificial intelligence does make sense Known users Contained work environment Limited number of predefined use cases or behaviors All the data is in-house
- 27. Experiment 1 Experiment 2 Experiment 3 Let’s Play…
- 28. Thanks for Listening. Netflix blog: Extracting Image Metadata at Scale Google Duplex: An AI System for Accomplishing Real-World Tasks Over the Phone Why Does Music Make Us Feel? AI Experiments Can AI Solve Your UX Design Problems? Navigating a social world with robot partners: A quantitative cartography of the Uncanny Valley Worth checking: