Artificial human companion. Artificial human companions may be any kind of hardware or software creation designed to give companionship to a person. Various types of large language models (LLMs) are used in the development of AI-based human companions. These can engage in natural and dynamic conversations, provide assistance, offer companionship, and even perform tasks like scheduling or information retrieval. Examples include digital pets, such as the popular Tamagotchi, or robots, such as the Sony AIBO. Virtual companions can be used as a form of entertainment, or they can be medical or functional, to assist the elderly in maintaining an acceptable standard of life.

Introduction 
Senior citizens make up an increasing percentage of the population in the Western nations, and, according to Judith Masthoff of the University of Brighton, they tend to live alone and have a limited social network. Studies also show that those elderly living in such circumstances have an increased risk of developing depression and dementia and have a shorter life span than more socially connected seniors.

It has been known to gerontologists for some time that pets -- particularly those such as cats and dogs that exhibit a range of behaviors and emotions -- help prevent depression in the elderly. Studies also show some beneficial results from electronic pets such as Sony's Aibo and Omron's NeCoRo; however, the therapeutic value of such artificial pets remains limited by the capabilities of technology. A recent solution to physical limitations of technology comes from GeriJoy, in the form of virtual pets for seniors. Seniors can interact with GeriJoy's pets by petting them through the multitouch interface of standard consumer-grade tablets, and can even have intelligent conversations with the pets.

Television viewing among the elderly represents a significant percentage of how their waking hours are spent, and the percentage increases directly with age. Seniors typically watch TV to avoid loneliness; yet TV limits social interaction, thus creating a vicious circle.

In 2012 Judith Masthoff, a professor of computer science from the University of Utrech, purports that it is possible to develop an interactive, personalized form of television that would allow the viewer to engage in natural conversation and learn from these conversations, as well as becoming more physically active which can help in the management of Type 2 Diabetes.

Recent research shows the proliferation of this technology, particularly among the younger generation. Another study reveals that young people are increasingly engaging in digital relationships with AI as a form of emotional support. This trend is notably significant for those grappling with social anxiety and depression, as AI provides a unique and accessible resource for managing these challenges.

Such applications have existed for decades. The earliest, such as the "psychologist" program ELIZA, did little more than identify key words and feed them back to the user, but Kenneth Colby's 1972 PARRY program at Stanford University -- far superior to ELIZA -- exhibited many of the features researchers now seek to put into a dialog system, above all some form of emotional response and having something "it wants to say", rather than being completely passive like ELIZA. The Internet now has a wide range of chatbots but they are no more advanced, in terms of plausibility as conversationalists, than the systems of forty years ago and most users tire of them after a couple of exchanges. Meanwhile, two developments have advanced the field in different ways: first, the Loebner Prize, an annual competition for the best computer conversationalist, substantially advanced performance. Its winners could be considered the best chatterbots, but even they never approach a human level of capacity as can be seen from the site.

Secondly a great deal of industrial and academic research has gone into effective conversationalists, usually for specific tasks, such as selling rail or airline tickets. The core issue in all such systems is the dialog manager which is the element of system that determines what the system should say next and so appear intelligent or compliant with the task at hand. This research, along with work on computing emotion, speech research and Embodied Conversational Agents (ECAs) has led to the beginnings of more companionable systems, particularly for the elderly. The EU supported Companions Project is a 4-year, 15-site project to build such companions, based at the University of Sheffield.

In social work 
AI applications have emerged in various areas of social work practice. In social work with older adults, AI systems have been increasingly used for fraud prevention in banking, helping protect elderly people who may be vulnerable to financial exploitation.

De Greeff and Belpaeme wrote in 2015 that the social learning of social robots has increased and could become more prominent in coming decades. It is written that "social robots often tend to be designed to portray a character, thus stimulating their anthropomorphisation by human interactants and inviting an interaction-style that is natural to people. Both a robot's appearance and behaviour can strengthen interactants' interpretation of dealing with a social agent, rather than with a piece of equipment". This substantiates that robots and AI are in the process of being used for communication and support for humans, and AI is used in order to allow technology and robots to become adept at linguistics and social cues.

See also
Chatbot
Digital life form

References

Multimodal interaction