Capitalizing Users as Innovators with regards to Social Robots

Academic Writing

By Juhi Khare

6 min read

This essay discusses the evolution of social robots, highlighting how user interactions drive design innovation. It emphasizes the role of users as innovators, shaping robots to better meet diverse needs and contexts.

Social Robots and their Evolution 

Robots are machines that, when programmed and created for that purpose, can do specific human functions. When people think of robots, they typically imagine large-scale businesses like automation where machines help assemble automotive parts. People seldom ever consider having robots come into their homes and assist them with regular duties. The autonomous robots that interact and converse with humans in a manner similar to that of other humans are known as social robots. They may be used in a residential or commercial context. These robots are also employed for specialized tasks like child supervision and healthcare support. 

Humans have been drawn to automating things from the dawn of humanity. We can locate some examples of automata from ancient Greece. In the museums, you can observe other attempts like Philon's Automatic maid and Leonardo Da Vinci's Robotic Knight. [1] However, the Massachusetts Institute of Technology's Personal Robots Group developed the first social robot in 2002. It was given the name Leonardo. We now have sophisticated social companions who not only help us with our jobs but also have the emotional intelligence to support us mentally.

Fig. Automatic Maid [1]

Fig. Robotic Knight

Robots and devices with the ability to do tasks repeatedly were created long ago. However, it took some time for social robots to actually materialize. The fact that we expect machines and robots to adapt to the changing dynamics of our living and working spaces is one important factor in this. We don't want to add to our workload by having to give them constant orders. Instead, we want them to be able to comprehend basic cues and use their minds similarly to other people. Consider the example of our kitchen. We anticipate that a social robot we use to assist us with routine kitchen duties like cooking and cleaning will respond to directions and not require constant direction. It should function as a human helper who can recognize a need and respond appropriately. Furthermore, we want the social robot to exhibit empathy toward the patient when it comes to social robots that are utilized to soothe patients or help with caregiving. The patient should be able to relax and feel at ease because of it. If and when necessary, it needs to be capable of contacting emergencies. When it comes to social robots, emotional intelligence is a critical component. 

Situated Actions 

In their article on contextual inquiry, Beyer and Holtzblatt [2] place emphasis on the significance of context and how it significantly impacts users' perceptions of and responses to a given technology. With regard to social robots, situated actions are crucial. Let's look at an illustration of an experiment where a social robot was incorporated into a workplace [3]. Its primary responsibility was to provide the staff with food. In addition to carrying out his job as instructed during the experiment, the robot also encouraged new

behaviors in the workers, such as social companionship, protection, and politeness. Through this instance, we can comprehend how, depending on the environment a robot is embedded in, humans interact with them. Perhaps the workers wouldn't like bonding with the robot as much if it were placed in their house. The findings of this study demonstrate how a robot designed to perform specific tasks can also act socially. In this instance, it led to new employee behaviors. Once more, we must consider the emotional components of social robots and how to integrate them into the environment. 

The concept of "Mutual Intelligibility" in this context refers to how humans and robots communicate and understand one another. Humans and social robots engage with each other in a way that is tailored to the needs of the time and place in which it is embedded. Earlier attempts to create social robots were successful in performing the required tasks, but because individuals could not relate to the robot, they did not feel comfortable opening up to it and expressing their thoughts. It was just another machine to them, although one with some cutting-edge characteristics. According to multiple studies, only robots that seemed and behaved like people made people feel comfortable sharing their views and expressing their feelings. For instance, if the social robot could make facial expressions and had moving eyes, people would find that more intriguing. Let's use the incredibly straightforward example of a teddy bear. It is merely a simple soft toy; it is not a robot. We can see that the baby pays more attention to and displays interest in the soft toys when we move his hand. Similar to this, little characteristics like gestures, eye movements, body temperature, and material of the robot all contribute significantly to the acceptance of social robots. The patient's level of comfort with the social support robot is crucial in delicate situations like healthcare. These minor supplemental characteristics serve as a highlight in those instances to strengthen the relationship and trust between the patient and the social robot. One such example is "Huggable," a sociable robot for child care [4]. By involving the child in enjoyable activities, it seeks to reduce their tension and anxiety. 

Users as Innovators 

We can infer from the explanation above that a user's reaction to a technology depends on their preconceptions, time, space, and other external factors as well. Regarding social robots, we can see how earlier robots were made to complete straightforward jobs, and as time went on, people's expectations from these robots grew. Many people experimented with novel methods to use the robots by changing minor details of the design to suit their needs. Similar to it Like when features like moving eyes and motions are included. Eventually, we see that these adaptations are recognized as user needs by the designers and they employ these adjustments in their next intervention or iteration of the same

design. If we carefully examine such situations, we can discover that this cycle occurs frequently in the technology sector. Indirectly users are therefore the ones who provide designers with creative ideas. This demonstrates how users might be considered "Innovators." 

Acceptance of Social Robots 

People have a tendency to be wary about utilizing new technologies when they are first offered. Acceptance and trust are crucial for the technology to be successful in categories like social robots, where we strive to integrate a robot into a user's private area. According to a study, it is easier for people to accept and form bonds with robots that have amusing traits in addition to their intended functions [5]. According to the same study, people who think more logically favor robots that strike a balance between sociability and entertainment [5]. We might therefore conclude that the perceptions and situated actions that affect human logical thought also play a role in the acceptability of social robots. 

Let's try to comprehend what happens in the case of patients with Alzheimer's or Dementia based on this conclusion. Patients with these diseases frequently experience anxiety, forgetfulness, and trouble performing routine chores. The ability to reason clearly declines as the condition worsens. Numerous social robots, such as LOVOT (a robot companion) and PARO (a therapeutic robot seal), are made specifically for these people to alleviate their anxiety and loneliness. The spoken commands of these robots may trigger the patients when they first interact with them. This is very likely because research has shown that people with Alzheimer's disease may get aggressive when they hear a strange voice because they perceive a threat. Other people may be harmed by their hostility. But once the patients are on board with the social robot, it's a godsend.

Fig. PARO

Fig. LOVOT

The issue that arises from the debate above is how to get patients to feel at ease with robots even before they touch or interact with them. If we imagine this situation and look at what people often do to address this issue, we will see that they employ the social robot in front of the patient rather than providing it to them directly. This kind of demonstration aims to persuade the patient that the robot is not dangerous and can even be a fun playmate. This is a classic instance where "users as innovators" can be seen. As designers, we may use this role-playing method to expose patients to social robots and help them feel at ease around them. This increases their desire to play with the robot, fosters trust, and increases the likelihood that they will accept it as a companion. 

Conclusion 

The use of social robots in our society is rapidly expanding. The success of these robots will ultimately depend on how we design their interaction in various settings and circumstances. Different circumstances call for specially crafted social robot experiences. The concept of "users as innovators" can be quite important in this situation. Users are aware of the circumstances and the issues they encounter. They can devise workarounds, but it is the designers' responsibility to provide them with a strong, dependable, long-term solution. It will be interesting to see whether we can develop artificial intelligence techniques to customize these robots for a unique experience. 

References 

1. Thalmann, N.M. (2022). Social Robots: Their History and What They Can Do for Us. In: Werthner, H., Prem, E., Lee, E.A., Ghezzi, C. (eds) Perspectives on Digital Humanism. Springer, Cham. https://doi.org/10.1007/978-3-030-86144-5_2 

2. Beyer, H., & Holtzblatt, K. (1998). Contextual inquiry. Defining customer-centered systems, 31. 

3. CHI '12: Proceedings of the SIGCHI Conference on Human Factors in Computing SystemsMay 2012 Pages 695–704https://doi.org/10.1145/2207676.2207776 4. Jeong, Sooyeon, et al. "Huggable: The Impact of Embodiment on Promoting 

Socio-emotional Interactions for Young Pediatric Inpatients." Proceedings of the2018 CHI Conference on Human Factors in Computing Systems. ACM, 2018.5. Forgas-Coll, S., Huertas-Garcia, R., Andriella, A. et al. How do Consumers’ Genderand Rational Thinking Affect the Acceptance of Entertainment Social Robots?. Int Jof Soc Robotics 14, 973–994 (2022). https://doi.org/10.1007/s12369-021-00845-y