Evaluation Metrics Regarding Human Well-Being and System Performance in Human-Robot Interaction – A Literature Review

2018 ◽  
pp. 124-135 ◽  
Author(s):  
Jochen Nelles ◽  
Sonja Th. Kwee-Meier ◽  
Alexander Mertens
Keyword(s):  
Literature Review ◽  
System Performance ◽  
Well Being ◽  
Human Robot Interaction ◽  
Evaluation Metrics ◽  
Robot Interaction

scholarly journals Should my robot know what's best for me? Human–robot interaction between user experience and ethical design

AI & Society ◽  
2021 ◽  
Author(s):  
Nora Fronemann ◽  
Kathrin Pollmann ◽  
Wulf Loh
Keyword(s):  
User Experience ◽  
Interaction Design ◽  
Real Life ◽  
Well Being ◽  
Design Principles ◽  
Human Robot Interaction ◽  
Ethical Challenges ◽  
Original Design ◽  
Robot Interaction ◽  
Ethical Design

AbstractTo integrate social robots in real-life contexts, it is crucial that they are accepted by the users. Acceptance is not only related to the functionality of the robot but also strongly depends on how the user experiences the interaction. Established design principles from usability and user experience research can be applied to the realm of human–robot interaction, to design robot behavior for the comfort and well-being of the user. Focusing the design on these aspects alone, however, comes with certain ethical challenges, especially regarding the user’s privacy and autonomy. Based on an example scenario of human–robot interaction in elder care, this paper discusses how established design principles can be used in social robotic design. It then juxtaposes these with ethical considerations such as privacy and user autonomy. Combining user experience and ethical perspectives, we propose adjustments to the original design principles and canvass our own design recommendations for a positive and ethically acceptable social human–robot interaction design. In doing so, we show that positive user experience and ethical design may be sometimes at odds, but can be reconciled in many cases, if designers are willing to adjust and amend time-tested design principles.

scholarly journals Reports of the AAAI 2016 Spring Symposium Series

AI Magazine ◽  
2017 ◽  
Vol 37 (4) ◽  
pp. 83-88
Author(s):  
Christopher Amato ◽  
Ofra Amir ◽  
Joanna Bryson ◽  
Barbara Grosz ◽  
Bipin Indurkhya ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Observational Studies ◽  
Human Error ◽  
Well Being ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Symposium Series ◽  
Research Platform ◽  
Challenges And Opportunities

The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, presented the 2016 Spring Symposium Series on Monday through Wednesday, March 21-23, 2016 at Stanford University. The titles of the seven symposia were (1) AI and the Mitigation of Human Error: Anomalies, Team Metrics and Thermodynamics; (2) Challenges and Opportunities in Multiagent Learning for the Real World (3) Enabling Computing Research in Socially Intelligent Human-Robot Interaction: A Community-Driven Modular Research Platform; (4) Ethical and Moral Considerations in Non-Human Agents; (5) Intelligent Systems for Supporting Distributed Human Teamwork; (6) Observational Studies through Social Media and Other Human-Generated Content, and (7) Well-Being Computing: AI Meets Health and Happiness Science.

scholarly journals Assistive technology design and development for acceptable robotics companions for ageing years

2013 ◽  
Vol 4 (2) ◽  
Author(s):  
Farshid Amirabdollahian ◽  
Rieks op den Akker ◽  
Sandra Bedaf ◽  
Richard Bormann ◽  
Heather Draper ◽  
...  
Keyword(s):  
Home Environment ◽  
Technology Development ◽  
Sensor Arrays ◽  
Well Being ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Technology Design ◽  
Novel Approach ◽  
Smart Home Environment ◽  
Technological Integration

AbstractA new stream of research and development responds to changes in life expectancy across the world. It includes technologies which enhance well-being of individuals, specifically for older people. The ACCOMPANY project focuses on home companion technologies and issues surrounding technology development for assistive purposes. The project responds to some overlooked aspects of technology design, divided into multiple areas such as empathic and social human-robot interaction, robot learning and memory visualisation, and monitoring persons’ activities at home. To bring these aspects together, a dedicated task is identified to ensure technological integration of these multiple approaches on an existing robotic platform, Care-O-Bot®3 in the context of a smart-home environment utilising a multitude of sensor arrays. Formative and summative evaluation cycles are then used to assess the emerging prototype towards identifying acceptable behaviours and roles for the robot, for example role as a butler or a trainer, while also comparing user requirements to achieved progress. In a novel approach, the project considers ethical concerns and by highlighting principles such as autonomy, independence, enablement, safety and privacy, it embarks on providing a discussion medium where user views on these principles and the existing tension between some of these principles, for example tension between privacy and autonomy over safety, can be captured and considered in design cycles and throughout project developments.

scholarly journals Impact of human-robot interaction on user satisfaction with humanoid-based healthcare

2018 ◽  
Vol 7 (2.12) ◽  
pp. 68
Author(s):  
Ohbyung Kwon ◽  
Jeonghun Kim ◽  
Yoonsun Jin ◽  
Namyeon Lee
Keyword(s):  
User Satisfaction ◽  
Healthcare Service ◽  
Empirical Test ◽  
Health Assessment ◽  
Well Being ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
The Difference ◽  
Self Service ◽  
Self Service Technology

Background/Objectives: The advent of self-service technology (SST) (e.g.,kiosks and Automatic Response System), has made it possible for service providersto make use of non-face-to-face channels to meet users’needs and decrease users’costs and time. On the other hand, however, more complex technology and/or services inhibit users’ satisfaction and,consequently,the intention to adopt SST, because such SST can instill fear in users. Nevertheless, at present, patients and other people who are interested in their own health and well-being are paying great attention to healthcare robots (as a form of SST)and,consequently, it has become crucial to investigate how these healthcare robots can positively influence users’ satisfaction with them. Hence, this study aims to empirically investigate the factors that affect users’ satisfaction with healthcare robots, especially in regard to human-robot interaction (HRI).Methods/Statistical analysis: We focused on the theory of heterophily and applied a series of factors identified in previous robot-adoption studies.Uniquely, this study focuses on users’ heterophily with healthcare robots, examining heterophily through three fundamental elements, empathy, professionalism, and personality, which we considered to be suitable fordetermining user satisfaction with HRI-based communication.To prove the validity of our hypotheses, we conducted an empirical testthat involved participants receiving a short health assessment from a robot.Findings: The findings of our empirical test supported our hypothesis that the lower the difference in empathy between a user and robot, the higher the level of user satisfaction with the humanoid-style healthcare service. Further, our results also suggest that heterogeneity between a user and healthcare robot is positively associated with user satisfaction.Improvements/Applications: First, to increase user satisfaction,robots must be provided with the ability to somehow recognizea user’s personality and adjust their own accordingly before beginning the robot-based healthcare service. Secondly, users’ behavior patterns should be analyzed by the healthcare robot. Overall, our study empirically shows the importance of ensuring thatprofessionalism is present in healthcare-domain-related HRI.  

scholarly journals Human–Robot Interaction and Sexbots: A Systematic Literature Review

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 216
Author(s):  
Carina Soledad González-González ◽  
Rosa María Gil-Iranzo ◽  
Patricia Paderewski-Rodríguez
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Social Robots ◽  
Human Robot Interaction ◽  
New Paradigm ◽  
Robot Interaction ◽  
Male Bias ◽  
Ethical Approaches ◽  
Research Questions ◽  
And Gender

At present, sexual robots have become a new paradigm of social robots. In this paper, we developed a systematic literature review about sexual robots (sexbots). To do this, we used the Scopus and WoS databases to answer different research questions regarding the design, interaction, and gender and ethical approaches from 1980 until 2020. In our review, we found a male bias in this discipline, and in recent years, articles have shown that user opinion has become more relevant. Some insights and recommendations on gender and ethics in designing sexual robots were also made.

scholarly journals Effects of the Level of Interactivity of a Social Robot and the Response of the Augmented Reality Display in Contextual Interactions of People with Dementia

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3771 ◽  
Author(s):  
Yuan Feng ◽  
Emilia I. Barakova ◽  
Suihuai Yu ◽  
Jun Hu ◽  
G. W. Matthias Rauterberg
Keyword(s):  
Rating Scales ◽  
Well Being ◽  
Social Robot ◽  
Human Robot Interaction ◽  
Affective States ◽  
Robot Interaction ◽  
Term Care ◽  
People With Dementia ◽  
Contextual Interactions ◽  
Dynamic Context

The well-being of people with dementia (PWD) living in long-term care facilities is hindered due to disengagement and social isolation. Animal-like social robots are increasingly used in dementia care as they can provide companionship and engage PWD in meaningful activities. While most previous human–robot interaction (HRI) research studied engagement independent from the context, recent findings indicate that the context of HRI sessions has an impact on user engagement. This study aims to explore the effects of contextual interactions between PWD and a social robot embedded in the augmented responsive environment. Three experimental conditions were compared: reactive context-enhanced robot interaction; dynamic context-enhanced interaction with a static robot; a control condition with only the dynamic context presented. Effectiveness evaluations were performed with 16 participants using four observational rating scales on observed engagement, affective states, and apathy related behaviors. Findings suggested that the higher level of interactivity of a social robot and the interactive contextualized feedback helped capture and maintain users’ attention during engagement; however, it did not significantly improve their positive affective states. Additionally, the presence of either a static or a proactive robot reduced apathy-related behaviors by facilitating purposeful activities, thus, motivating behavioral engagement.

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