A Social Companion and Conversational Partner for the Elderly

Miehle, Juliana; Bagci, Ilker; Minker, Wolfgang; Ultes, Stefan

doi:10.1007/978-3-319-92108-2_12

Cited by 8 publications

(3 citation statements)

References 9 publications

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“…The study further suggested that the social acceptance of a social robot increases when the robot can comprehend the very needs of its user and act according to the situation [62]. Results of the human study in [63] verified the fact that humans prefer user-adaptive dialogs while having a conversation even with a robot companion. Work proposed in [64] is an encouraging example for the growing harmony between humans and robots that are emotionally intelligent, as stated above.…”

Section: B Modern Developmentsmentioning

confidence: 65%

Proactive Robots With the Perception of Nonverbal Human Behavior: A Review

2019

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Intelligent robot companions contribute significantly in improving living standards in the modern society. Therefore, human-like decision making skills are sought after during the design of such robots. On the one hand, such features enable the robot to be easily handled by its non-expert human user. On the other hand, the robot will have the capability of dealing with humans without causing any disturbance by the robot's behavior. Mimicing human emotional intelligence is one of the best and reasonable ways of laying the foundation for robotic emotional intelligence. As robots are widely deployed in social environments, perception of the situation or intentions of a user prior to an interaction is required to be proactive. Proactive robots are required to understand what is communicated by the human body language prior to approaching a human. Social constraints in an interaction could be demolished by this assessment in this regard. In this review, we incorporate various findings of human-robot interaction, social robotics and psychophysiology to assess intelligent systems which were capable of evaluating the emotional state of humans prior to an interaction. Second, we identify the cues and evaluation techniques that were utilized by such intelligent agents to simulate and evaluate the suitability of a proactive interaction. Available literature has been evaluated to distinguish limitations of existing methods and suggest possible improvements. These limitations, guiding principles to be adhered to and suggested improvements, are presented as an outcome of the review. INDEX TERMSInteraction initiation, nonverbal cues, context-awareness, social robots, human-robot interaction. A. G. BUDDHIKA P. JAYASEKARA (M'07-SM'17) received the B.Sc. and M.Sc. degrees in electrical engineering from the University of Moratuwa, respectively, in 2004 and 2006, and the doctoral degree in robotics and intelligent systems from Saga University, Japan. He received the Japanese Government Monbukagakusho Scholarship to pursue postgraduate studies in Japan. He joined the Department of Electrical Engineering, University of Moratuwa, after completing his doctoral studies in 2010, where he currently a Senior Lecturer.His main research interests include artificial intelligence techniques, human-robot interaction, human-friendly robotics, machine learning, and intelligent systems. He is the Principle Investigator of the Intelligent Service Robotics Group, Department of Electrical Engineering, University of Moratuwa, and working as the Director of Center for Advanced Robotics (CAR), a multidisciplinary research center of University of Moratuwa from 2017. Currently, he is working on two main projects: intelligent mobile robot for domestic environments (MIRob-Moratuwa Intelligent Robot) and intelligent wheelchair for domestic environments. D. P. CHANDIMA (M'03-SM'17) received the B.Sc. degree from the

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Section: B Modern Developmentsmentioning

confidence: 65%

Proactive Robots With the Perception of Nonverbal Human Behavior: A Review

2019

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“…It is certain that robotics technology can play a significant role to support older persons to perform their activities of daily living independently. Application of assistive social robots to facilitate the needs of older persons becoming widespread and extensively studied [139][140][141][142][143][144][145][146][147]. However, introducing robotics technology to older persons and requesting them to deploy the solution can be challenging.…”

Section: Discussionmentioning

confidence: 99%

A Review on Usability and User Experience of Assistive Social Robots for Older Persons

Isa¹,

Saptari²,

Perumal³

et al. 2022

IJIE

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In the advancement of human-robot interaction technology, assistive social robots have been recognized as one of potential technologies that can provide physical and cognitive supports in older person’s care. However, a major challenge faced by the designers is to develop an assistive social robot with prodigious usability and user experience for older persons who were known to have physical and cognitive limitations. A considerable number of published literatures was reporting on the technological design process of assistive social robots. However, only a small amount of attention has been paid to review the usability and user experience of the robots. The objective of this paper is to provide an overview of established researches in the literatures concerning usability and user experience issues faced by the older persons when interacting with assistive social robots. The authors searched relevant articles from the academic databases such as Google Scholar, Scopus and Web of Science as well as Google search engine for the publication period 2000 to 2021. Several search keywords were typed such as ‘older persons’ ‘elderly’, ‘senior citizens’, ‘assistive social robots’, ‘companion robots’, ‘personal robots’, ‘usability’ and ‘user experience’. This online search found a total of 215 articles which are related to assistive social robots in elderly care. Out of which, 54 articles identified as significant references, and they were examined thoroughly to prepare the main content of this paper. This paper reveals usability issues of 28 assistive social robots, and user experience feedback based on 41 units of assistive social robots. Based on the research articles scrutinized, the authors concluded that the key elements in the design and development of assistive social robots to improve acceptance of older persons were determined by three factors: functionality, usability and users’ experience. Functionality refers to ability of robots to serve the older persons. Usability is ease of use of the robots. It is an indicator on how successful of interaction between the robots and the users. To improve usability, robot designers should consider the limitations of older persons such as vision, hearing, and cognition capabilities when interactingwith the robots. User experience reflects to perceptions, preferences and behaviors of users that occur before, during and after use the robots. Combination of superior functionality and usability lead to a good user experiencein using the robots which in the end achieves satisfaction of older persons.

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“…Moreover, it is found that the social acceptance of a service robot increases when a robot is able to perceive the very needs of a user and act accordingly [ 26 ]. Results of the human study in [ 27 ] verify that humans prefer user adaptive dialogs in conversations even with a robot. The work explained in [ 28 ] is a promising example of the growing rapport between humans and robots with such an intelligence.…”

Section: Related Workmentioning

confidence: 99%

An Evaluation of Human Conversational Preferences in Social Human-Robot Interaction

Sirithunge

Jayasekara

Chandima

2021

Applied Bionics and Biomechanics

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To generate context-aware behaviors in robots, robots are required to have a careful evaluation of its encounters with humans. Unwrapping emotional hints in observable cues in an encounter will improve a robot’s etiquettes in a social encounter. This article presents an extended human study conducted to examine how several factors in an encounter influence a person’s preferences upon an interaction at a particular moment. We analyzed the nature of conversation preferred by a user considering the type of conversation a robot could have with its user, having the interaction initiated by the robot itself. We took an effort to explore how such preferences differ as the factors present in the surrounding alter. A social robot equipped with the capability to initiate a conversation is deployed to conduct the study by means of a wizard-of-oz (WoZ) experiment. During this study, conversational preferences of users could vary from “no interaction at all” to a “long conversation.” We changed three factors in an encounter which can be different from each other in each circumstance: the audience or outsiders in the environment, user’s task, and the domestic area in which the interaction takes place. Conversational preferences of users within the abovementioned conditions were analyzed in a later stage, and critical observations are highlighted. Finally, implications that could be helpful in shaping future social human-robot encounters were derived from the analysis of the results.

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A Social Companion and Conversational Partner for the Elderly

Cited by 8 publications

References 9 publications

Proactive Robots With the Perception of Nonverbal Human Behavior: A Review

Proactive Robots With the Perception of Nonverbal Human Behavior: A Review

A Review on Usability and User Experience of Assistive Social Robots for Older Persons

An Evaluation of Human Conversational Preferences in Social Human-Robot Interaction

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