The Future of Human-Robot Interaction

Opinion

How will humans and machines work together in the future? Will social robots be nothing more than robotic digital assistants like those on smartphones, or are there new opportunities and challenges when we put an AI brain into a robotic body? What are the risks and ethics around AI systems?

Those were some of the topics of a question-and-answer panel held at Xconomy’s Robo Madness West 2016 conference last month. I moderated the panel, which consisted of experts in the complementary fields of robotics, artificial intelligence, and human-computer interaction.

The panelists were JR Alaoui, CEO and co-founder of Eyeris, a deep learning and emotion recognition startup; Rob McHenry, vice president of public sector operations at PARC (and former DARPA program manager); and Leila Takayama, founder of Hoku Labs and a professor of psychology at UC Santa Cruz (formerly of GoogleX and Willow Garage).

Here are some edited highlights from the discussion:

Bo Begole: Now that computers can accurately recognize speech and gestures, we are hearing the promise that interacting with robots will be as natural and easy as interacting with other people. Frankly, I find communicating with humans to be incredibly difficult. So, how much benefit can we really expect from this idea of “natural” interaction?

Leila Takayama: We’ve had this vision of interacting naturally with computers for decades, at least as far back as Apple’s Knowledge Navigator video in the 1980s. But language is ambiguous, and that’s a feature not a bug, allowing us to express concepts efficiently by not having to be overly precise. Humans can fill in the gaps and use conversation to elicit more information when there is uncertainty. Computers cannot yet deal well with ambiguity or uncertainty, so “natural” language may not work for mission-critical applications where we’ll define specialized languages. For consumer robots, though, people want to talk naturally and we need to design casual dialogs that make it easy to express desires without having to give every small detail. Also, language allows for multiple interpretations (e.g., sarcasm, innuendos) and that enables people to save face in social interactions, which is important for everyday conversations.

Begole: Humans express emotion and emphasis when they talk; what’s the importance of having the robots exhibit empathy? Do they need to detect the emotional state of humans in order to know when to be nicer? Why not just design them to be nice all the time?

JR Alaoui: Yes, they should be designed to be polite, but that’s not the only thing that emotion and empathy are for. People can read each others’ feelings in less than a 15th of a second, and we need the robot to do that in order to feel it has truly understood us. If I’m in a relaxed mood, it’s delightful if the robot makes a joke. But when I’m in a hurry, I don’t want it to be joking around – it needs to respond quickly and with a sense of urgency. And if I sound uncertain about what I want, or dissatisfied, the robot can offer alternative suggestions.

Begole: The DARPA Grand Challenge in autonomous vehicles paved the way for the autonomous vehicle products that are coming out today. What are some examples of government-funded research in AI and robotics that is happening today that will set the stage for tomorrow’s products?

Rob McHenry: Public-funded research has always pushed the state-of-the-art in advanced autonomy, which then drives commercial AI. I think many people would be surprised by the advanced capabilities that autonomous systems for defense are already demonstrating – capabilities that many might guess wouldn’t be achievable for many years.

For example, DARPA and the Navy are testing at sea today an autonomous ship that is designed to go “toe-to-toe” against a human adversary in the wild during complex unconstrained military operations. The ACTUV (Anti-submarine warfare Continuous Trail Unmanned Vessel) program has delivered an unmanned ship that can not only comply with the complex Rules of the Road in the open ocean, but simultaneously track and harass a manned submarine, keeping a step ahead of a highly trained human submarine captain. This is an example of AI that can understand humans, in both competitive and supportive roles.

Begole: What is the future of autonomous defense systems? Is it safe to imagine letting a machine decide when to apply lethal force?

McHenry: Unfortunately, all indicators are that we’re being forced in that direction. As the speed of modern warfare accelerates, the ability for humans to always be in the decision loop is shrinking – we’re necessarily ceding some control to AI. There have been defensive examples like ship missile defense systems for decades, and more recently in jet aircraft controls where the system sometimes must take action before the pilot is even aware of a threat. There is a similar example in high-speed stock trading.

The safety on this is that all of these systems operate within constraints that are set by humans. As the technology advances, those constraints are getting broader – DARPA’s LRASM (Long Range Anti-Ship Missile) program has delivered an AI-enabled cruise missile that can operate independently over thousands of square miles and satisfy the U.S. rules of engagement without an operator in the loop. But a human still has to launch that missile. As long as a human is in the loop to determine intent and constraints, I believe we are operating within a safe framework for lethal force.

Begole: That sounds alarmingly dangerous to our future.

McHenry: In my mind it comes down to self-initiative. Even the most advanced AI systems imagined today do the things they do because we tell them to. They have no sense of intent or purpose, only task. Maybe that spark of initiative is innately human, but it is at least so far beyond the foreseeable technology horizon to be a distant theoretical risk at best.

Alaoui: This is why modeling true human cognition is important so that we can imbue these systems with ethics and reasoning. Like a human, the autonomous system should choose to hit a truck rather than a child when faced with such a dilemma. The systems we have today are a far cry from that level of intelligence, and we need to start modeling and programming them with ethics and rational cognition now.

Begole: For humans and AI to work together, is it important to put the AI into the body of a robot or a smartphone, or can it be spread across our devices and in the cloud?

Alaoui: Both. We’re definitely moving in the direction of “ambient intelligence” across the Internet of Things, where all of your devices participate in predicting your needs and delivering solutions proactively. Rather than simply reacting to commands, systems will know your patterns of action and preventatively intervene to give you what you need: home automation, heating and air conditioning and also health and nutrition coaching.

Ultimately, we want technology to disappear into the fabric of our lives. Electricity is a great example of that, and it was the vision of the original ubiquitous computing research at PARC to create an environment where using computers doesn’t require special training and is a calm and natural experience.

Takayama: At the same time, human evolutionary wiring defines what we think of as “natural,” and we are used to brains being inside of bodies. So, all of our interactions with intelligence are inclined toward an embodied agent – like a robot. The presence of the body makes us project a personality and to think of a robot as something of a peer – even more so than apps on a screen or voices from a smartphone.

There has been some great research at Indiana University studying the use of robots versus cameras for older adults, who generally preferred the robot. People are a little creeped out by surveillance cameras … Next Page »

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Bo Begole is Vice President and Global Head of Huawei Technologies' Media Lab, which specializes in video and audio algorithms for compression, media enhancement, and machine perception. Dr. Begole's prior research at Sun Microsystems, PARC, and Samsung focused on mobile and embedded Contextual Intelligence and personal digital assistants. Follow @begolej

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