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        Artificial Empathy in the Next Decade


                                                                                and extend the human-machine relationship,
                                                                                devices must become more intuitive and mas-
                                                                                ter values such as caring and compassion.
                                                                                “We will feel closer together with machines
                                                                                that are able to receive and transmit empa-
                                                                                thetic information. The end purpose is to
                                                                                digitally predict the intent of the user and
                                                                                allow him or her to make decisions in the
                                                                                physical life based on his or her own data and
                                                                                connected data.”
                                                                                  This is already happening in the automo-
                                                                                tive domain. At the 2019 Frankfurt Motor
                                                                                Show, French automotive software supplier
                                                                                Valeo unveiled Smart Cocoon, which leverages
                                                                                AI and the information captured by various
                                                                                sensors to deliver personalized comfort
                                                                                through a combination of temperature, light-
        customers are asking for. “Most of the innovation that will occur for   ing, sound effects, and fragrance. The interior lighting, for instance,
        MEMS in the next decade will be through application-level process-  adjusts automatically to reflect the temperature and adds to the feeling
        ing and intelligence at the edge,” Fabrowsky said. Having AI locally,   of comfort, with warm shades for heat and pale shades for cool. The
        directly in the MEMS device, will yield more relevant and useful appli-  vehicle becomes empathetic or emotionally intelligent in the sense
        cations for users.                                    that it considers the state of its driver and passengers by detecting
          Running AI algorithms at the edge offers four main benefits. The first   signs of fatigue, distraction, emotion, and stress, the company claims.
        one is personalization, wherein calculation is performed locally and   Building advanced driver-assistance systems “taught us that the
        optimized for the user based on his or her individual behavior and envi-  only way to have a real-time experience is to process the sensor data
        ronment. Second is trust, or privacy of user data. Local edge processing   locally,” Fabrowsky said. “All these capabilities of developing intent are
        provides full control of what data is released and for what purpose. The   growing in the sensor itself — not in an app, not in the cloud.” Such
        third benefit is real-time feedback. Executing at the edge avoids data   localization will provide better personalization, the highest privacy, the
        transfer and reduces latency. Fourth is battery life improvement, enabled   lowest-possible power consumption, and minimum latency.
        by local processing.                                    Germany’s Bosch Sensortec is exploring the promise of neuromor-
          MEMS sensors and actuators are incorporating ever-more intel-  phic sensing and computation by building brain-inspired AI at all levels
        ligence, and local sensor data processing will continue to shape the   of the systems, from the sensor itself to the application layers. “This
        timeline, said Fabrowsky. By capturing and analyzing the wealth of   helps us mimic the brain hierarchies,” said Fabrowsky.
        data, sensors bring humans and the digital world together. Human-   With the emergence of wearable medical devices and biosensors,
        machine interactions are rapidly evolving, but isn’t it time to deepen   algorithmic processes help people learn about their personal health
        this relationship and make the machine identify, infer, interpret, and   and fitness level. Going well beyond step counting, step tracking, and
        feel human emotions? A kind of artificial empathy?    activity monitoring, the next frontier is early-stage medical diagnos-
          Empathetic sensors are already here, said Dimitrios Damianos,   tics, said Fabrowsky. “We are just at the beginning of what empathetic
        technology and market analyst in the photonics and sensing division   computing can do, and new opportunities are in our reach,” he said.
        at Yole Développement, in a discussion with EE Times Europe. But he   These include “the ability to detect the onset of diseases like Parkin-
        urged us to think about the meaning and understanding of the word.   son’s or sclerosis well in advance thanks to non-invasive, always-on
        “What is it to be empathetic? A human quality in the sense that it will   motion sensors containing AI processing.”
        understand my emotions based on my voice” and a sensing capability   Eventually, artificial empathy will make devices behave “like a
        combined with large processing power to read between the lines and   trusted friend that we want to have at our side” and gradually enter all
        decode the true state of a user’s needs, Damianos said.   aspects of our lives. Applications could span across multiple sectors,
                                                              including industrial automation, robotics, telepresence, elderly care,
        ACHIEVING ARTIFICIAL EMPATHY                          remote education, and training.
        Humans are social creatures, and emotions govern our actions and   From artificial strength, we have moved to AI. We are now undergo-
        reactions. The ability to recognize emotional facial and vocal expres-  ing a new transition from AI to artificial empathy. “In the 1950s, the
        sions is innate, and when we meet someone for the first time, he or she   transistor enabled the roadmap of increasing computational power,
        only needs to speak for seven seconds for us to form an opinion. Read-  augmenting our ability to model a forecast of the world and leading us
        ing emotions accurately on the faces of others is the result of complex   to AI,” Fabrowsky said. “Thanks to MEMS, we will enormously extend
        processes, and neuropsychology studies suggest that intonations and   and process sensory inputs, and interactions with machines will be
        body language are more meaningful than the actual choice of words.   more humanlike.”
          Holistic perception is only possible through multi-sensor data fusion.   As Fabrowsky concluded, “The next decade will be remembered for
        “Sensors can independently identify and characterize an activity such   its transition to artificial empathy.”
        as walking, cycling, or even sleeping,” said Fabrowsky. “At the sensor   artificial empathy will differ from human empathy. Could artificial
                                                                But just as artificial intelligence differs from human intelligence,
       IMAGE: SHUTTERSTOCK  determine the health, the feelings, and the mood of the user. Sensors   empathy eliminate cognitive biases? Unlike humans, could it make
        level, we are beginning to consolidate multiple information [types] to
        can answer questions such as, ‘Is my stress level rising?’ and we can use
                                                              decisions devoid of cultural and gender stereotypes?
                                                                That debate, venturing into the realms of philosophy and sociology,
        the information to coach the user.” This is sometimes referred to as the
        tactile internet, in which all human senses interact with machines.
                                                              is one for another time. ■
          “It is only by understanding such emotions that machines can
        become intentional and helpful,” added Fabrowsky. But to build trust
        DECEMBER 2020 | www.eetimes.eu                        Anne-Françoise Pelé is editor-in-chief of EE Times Europe.
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