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Affective Computing : IBM HorizonWatch 2016 Trend Brief

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The slides provide a quick overview of the Affective Computing trend. The slides provide summary information, a list of trends to watch and links to additional resources

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Affective Computing : IBM HorizonWatch 2016 Trend Brief

  1. 1. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Affective Computing IBM HorizonWatch 2016 Trend Brief – External Version Bill Chamberlin, Principal Client Research Analyst / IBM HorizonWatch Community Leader May 12, 2016
  2. 2. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. About This HorizonWatch Emerging Trend Brief 2 Affective Computing: HorizonWatch Emerging Trend Brief (External Version)12May2016  Purpose: The slides provide a quick overview of the Affective Computing trend. The slides provide summary information, a list of trends to watch and links to additional resources  How To Use This Report: Use these slides as a learning document and a springboard to further research and reading on this trend. You may want to view the slides in slideshow mode so you can easily follow the links  Available on Slideshare: The latest version of this file (and other HorizonWatch Trend Reports for 2016) will be available publically on Slideshare at http://www.slideshare.net/horizonwatching  Please Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
  3. 3. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Overview of the trend towards Affective Computing technologies Affective computing is an emerging technology that can be classified within both Human- Computer Interaction and Artificial Intelligence/Cognitive Computing technologies. Affective Computing is enabled when a computing device has the ability to detect and appropriately respond to its user's emotions and other stimuli. Such a device that has embedded affective computing capability could gather data relative to user emotion from visual, textual, and auditory sources. Recent Quotes about Affective Computing 3 “There are several factors that trigger the growth of the affective computing market. Some of them are rising demand for mapping human emotions especially by the marketing and advertising sector, increasing concerns for security, and growing need for applications for support during emergency situation.” MarketsandMarkets “Emotion is fundamental to human experience, influencing cognition, perception, and everyday tasks such as learning, communication, and even rational decision-making. However, technologists have largely ignored emotion and created an often frustrating experience for people, in part because affect has been misunderstood and hard to measure.” MIT Affective Computing Lab Affective Computing: HorizonWatch Emerging Trend Brief (External Version)12May2016 “Emotion was the #1 factor in customer loyalty across 17 of the 18 industries that we studied this time around.” Forrester: You Can't Afford to Overlook Your Customers' Emotional Experience
  4. 4. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Affective Computing – 5 trends to watch in 2016 1. A growth market. The Affective Computing market will grow from $9.35B in 2015 to $42.51B by 2020 (a 35.4% CAGR) MarketsandMarkets 2. Potential Applications: Early examples include market research, advertising, collaboration apps, and mental health research. In the future almost all cognitive computing applications will have an embedded capability to understand human emotions. 3. Research still needed Detecting emotions from videos, audio, text, facial expressions and gestures is a newly emerging data science. The MIT Media Lab continues to be a leading research facility. 4. Companies to Watch: Affectiva, Realeyes, Sension, tACC, nVisio, CrowdEmotion, PointGraB, Omek InteractivE, SoftKinetic, and Elliptic Labs are just some of the startups experimenting with bringing solutions to market. 5. Cognitive Computing Landscape: Expect that all AI- related vendors will be looking to build or acquire affective computing capability in 2016. Apple recently bought Emotient. Intel, Microsoft, Alphabet and Facebook are all working on elements of gesture, text, speech and facial recognition technology. 4 “Affective computing technologies sense the emotional state of a user (via sensors, microphone, cameras and/or software logic) and respond by performing specific, predefined product/service features, such as changing a quiz or recommending a set of videos to fit the mood of the learner.” Gartner IBM Systems Magazine: IBM Explores How Affective Computing Can Benefit Society Affective Computing: HorizonWatch Emerging Trend Brief (External Version)12May2016 Forrester: Measure Emotions In Customer Experiences To Improve Loyalty
  5. 5. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Affective Computing – Additional Resources (page 1 of 2)  Association for the Advancement of Affective Computing: Emotion- Research.net  BPM: The Cognitive Computing Era: Affective Computing  CNN Feeling glum, happy, aroused? New technology can detect your mood  Gartner: Affective Computing  IBM: Watson Personality Insights Services / Affective Computing  IBM Systems Magazine: IBM Explores How Affective Computing Can Benefit Society  Lux Capital: Affective Computing: The Power of Emotion Analytics  Mashable: Apple buys AI startup that reads emotions in faces  MIT News A Market for Emotions NMC Horizon Project: Affective Computing  National Science Foundation: Computational behavioral science develops tools, methods to reach children with autism  Oxford Library of Psychology: The Oxford Handbook of Affective Computing  Phys.org Does your computer know how you're feeling?  Rosalind Picard (video) Reading Emotions Through Affective Computing / Affective Computing: Engineering Emotion 5 Lux Capital: Affective Computing: The Power of Emotion Analytics “Computer-based facial expression recognition mimics our human coding skills quite impressively as it captures raw, unfiltered emotional responses towards any type of emotionally engaging content.” iMotions Facial Expression Analysis – The Definitive Guide Affective Computing: HorizonWatch Emerging Trend Brief (External Version)12May2016 “We have very real data points showing computers doing a better job than humans in accessing emotional states” Andrew Moore, the dean of computer science at Carnegie Mellon as reported in Wired
  6. 6. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Affective Computing – Additional Resources(page 2 of 2)  Slate How Does That Geometry Problem Make You Feel?  Tech Crunch Emotient Raises $6M For Facial Expression Recognition Tech, Debuts Google Glass Sentiment Analysis App  The Engineer Face up to emotion detection  The New Stack: The Rise of Emotionally Intelligent Machines That Know How You Feel  The New York Times When Algorithms Grow Accustomed to Your Face  The New Yorker We Know How You Feel  The Washington Post Feeling mad? New devices can sense your mood and tell — or even text — others.  Toyoaki Nishida, Kyoto University (paper) Cognitive and Affective Computing  VLAB: Affective Computing: The Power of Emotion Analytics  William Chen (book) Affective Computing 28 Success Secrets  Wikipedia Article: Affective Computing  Wired How Sensors That Test Our Stress Could Revolutionize Product Design  ZDNet The keyboard of the future will know just how you feel 6 VLAB: Affective Computing: The Power of Emotion Analytics “Now, computer software is using frame-by- frame video analysis to read subtle muscular changes that flash across our faces in milliseconds, signaling emotions like happiness, sadness and disgust.” NY Times Affective Computing: HorizonWatch Emerging Trend Brief (External Version)12May2016 “In order for artificial intelligence to truly interact with humans, the ability to empathize needs to be mastered.” Nanalyze

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