AI need not be a zero sum game. Computers will not “win,” and neither do they need to know about winning. But neither will humans. Computers, with AI, are tools that will continue to amplify our capabilities and even help us to better understand the world in which we live.
Human Computer Interaction (HCI) has always been an important topic, though occasionally ignored. Studies of HCI have led to everything from point and click interfaces to Natural Language Processing (NLP). As HCI has shaped our connection to the world of machines, AI components have been added to better anticipate and respond to requests.
Many new HCI possibilities revolve around language processing, but there is a new interest in understanding and incorporating human emotion in these interactions. Understanding and reacting to emotion will make interaction with machines more complex, and will open whole new avenues for exploration.
Following are a few videos on HCI and AI, provided with standard YouTube license, and the explanations from their landing pages.
Games and Human Computer Interaction (UC Santa Cruz)
Published on May 2, 2016
Professor of Computational Media, Katherine Currie Isbister and her students use games to explore how technology can influence human’s emotional experiences.
Stanford Seminar: Building Machines That Understand and Shape Human Emotion (stanfordonline)
Published on Feb 3, 2017
Seminar by Jonathan Gratch, Research Professor of Computer Science and Psychology at the University of Southern California (USC) and Director for Virtual Human Research at the USC’s Institute for Creative Technologies.
“Affective Computing is the field of research directed at creating technology that recognizes, interprets, simulates and stimulates human emotion. In this talk, I will broadly overview my fifteen years of effort in advancing this nascent field, and emphasize the rich interdisciplinary connections between computational and scientific approaches to emotion. I will touch on several broad questions: Can a machine understand human emotion? To what end? Can a machine “have” emotion, and how would this impact the humans that interact with them? I will address these questions in the context of several domains, including healthcare, economic decision-making and interpersonal-skills training. I will discuss the consequences of these findings for theories of intelligence (i.e., what function does emotion serve in human intelligence and could this benefit machines?) as well as their practical implications for human-computer, computer-mediated and human-robot interaction. Throughout, I will argue the need for an interdisciplinary partnership between the social and computational sciences around to topic of emotion.”
Barbara Grosz: Designing AI to Complement Humanity (The Berkman Klein Center for Internet & Society)
Published on Jan 10, 2017
Barbara Grosz of the John A. Paulson School of Engineering and Applied Sciences at Harvard University and the Stanford One Hundred Year Study on Artificial Intelligence (AI100) considers how AI is being developed to complement, rather than displace, humanity.
Reimagining Human Computer Interaction with Cloud Speech API (Google Cloud)
Published on Mar 9, 2017
Learn how Cloud Speech API enables developers to build a new genre of applications. Cloud Speech API enables users to interact with your mobile and IoT applications in a whole new way. In addition, it enables new opportunities for generating insights from existing audio sources (e.g., phone calls or videos).