scholarly journals An Exploratory Study to Determine the Effects Conversational Repetition Has on Perceived Workload and User Experience Quality in an Online Human-Robot Interaction

2022 ◽  
Author(s):  
Curtis Gittens ◽  
Damian Garnes
Keyword(s):  
User Experience ◽  
Exploratory Study ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Perceived Workload

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 A Methodology for Recognition of Emotions Based on Speech Analysis, for Applications to Human-Robot Interaction. An Exploratory Study

2014 ◽  
Vol 5 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Mohammad Rabiei ◽  
Alessandro Gasparetto
Keyword(s):  
Exploratory Study ◽  
Speech Rate ◽  
Human Robot Interaction ◽  
Acoustic Properties ◽  
Speech Analysis ◽  
Robot Interaction ◽  
Basic Emotions ◽  
Signal Processing Algorithms ◽  
Recognition Of Emotions ◽  
Set Up

AbstractA system for recognition of emotions based on speech analysis can have interesting applications in human-robot interaction. In this paper, we carry out an exploratory study on the possibility to use a proposed methodology to recognize basic emotions (sadness, surprise, happiness, anger, fear and disgust) based on phonetic and acoustic properties of emotive speech with the minimal use of signal processing algorithms. We set up an experimental test, consisting of choosing three types of speakers, namely: (i) five adult European speakers, (ii) five Asian (Middle East) adult speakers and (iii) five adult American speakers. The speakers had to repeat 6 sentences in English (with durations typically between 1 s and 3 s) in order to emphasize rising-falling intonation and pitch movement. Intensity, peak and range of pitch and speech rate have been evaluated. The proposed methodology consists of generating and analyzing a graph of formant, pitch and intensity, using the open-source PRAAT program. From the experimental results, it was possible to recognize the basic emotions in most of the cases

Socially Embodied Human-Robot Interaction

2015 ◽  
pp. 169-190 ◽  
Author(s):  
J. Lindblom ◽  
B. Alenljung
Keyword(s):  
User Experience ◽  
Human Robot Interaction ◽  
The Body ◽  
Human Interaction ◽  
Future Research ◽  
Crucial Importance ◽  
Robot Interaction ◽  
Use Of Technology ◽  
Fundamental Challenge ◽  
Socially Interactive Robots

A fundamental challenge of human interaction with socially interactive robots, compared to other interactive products, comes from them being embodied. The embodied nature of social robots questions to what degree humans can interact ‘naturally' with robots, and what impact the interaction quality has on the user experience (UX). UX is fundamentally about emotions that arise and form in humans through the use of technology in a particular situation. This chapter aims to contribute to the field of human-robot interaction (HRI) by addressing, in further detail, the role and relevance of embodied cognition for human social interaction, and consequently what role embodiment can play in HRI, especially for socially interactive robots. Furthermore, some challenges for socially embodied interaction between humans and socially interactive robots are outlined and possible directions for future research are presented. It is concluded that the body is of crucial importance in understanding emotion and cognition in general, and, in particular, for a positive user experience to emerge when interacting with socially interactive robots.

User Experience of Socially Interactive Robots

2015 ◽  
pp. 352-364 ◽  
Author(s):  
B. Alenljung ◽  
J. Lindblom
Keyword(s):  
Everyday Life ◽  
User Experience ◽  
Human Robot Interaction ◽  
Additional Research ◽  
Wide Spread ◽  
Robot Interaction ◽  
Research Directions ◽  
Research User ◽  
Socially Interactive Robots

Socially interactive robots are expected to have an increasing importance in everyday life for a growing number of people, but negative user experience (UX) can entail reluctance to use robots. Positive user experience underpins proliferation of socially interactive robots. Therefore, it is essential for robot developers to put serious efforts to attain social robots that the users experience as positive. In current human-robot interaction (HRI) research, user experience is reckoned to be important and is used as an argument for stating that something is positive. However, the notion of user experience is noticeably often taken for granted and is neither described nor problematized. By recognizing the complexity of user experience the intended contributions can be even more valuable. Another trend in HRI research is to focus on user experience evaluation and examination of user experience. The current research paths of user experience of socially interactive robots are not enough. This chapter suggests that additional research directions are needed in order accomplish long-term, wide-spread success of socially interactive robots.

scholarly journals Reframing HRI Design Opportunities for Social Robots: Lessons Learnt from a Service Robotics Case Study Approach Using UX for HRI

2018 ◽  
Vol 10 (10) ◽  
pp. 101 ◽  
Author(s):  
Sara Khan ◽  
Claudio Germak
Keyword(s):  
Human Computer Interaction ◽  
User Experience ◽  
Social Robots ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Study Approach ◽  
A Company ◽  
Public Environment ◽  
Computer Interaction

Over the last few decades, semi-autonomous machine’s technology started to promote awareness towards the importance of human–robot interaction (HRI) for improving daily activities. More affordable social robots are being commercially released and in order to implement viable applications of HRI, a combination human-computer interaction and user experience methodologies could play a pivotal role in assessing new scenarios and evaluating new investigations. However, literature shows that it is still challenging to reach an optimal user experience with robotic companions. The aim of the study was to determine the chance to enhance the user experience with a semi-autonomous social robot, using user experience and human–computer interaction methodologies. In this study, a social robotic companion has been developed and prototyped in order to be adopted in a specific public environment such as a company workspace. The challenges emerged from this peculiar environment triggered the need for a more productive and comfortable office for the employees, and, at the same time, the usability, acceptance and likeability of the robotic companion have been evaluated. The results emphasize that, since HRI is highly interdisciplinary, the benefits of combining approaches from other fields could positively benefit from a meaningful social interaction with the users.

User Experience in Social Human-Robot Interaction

2017 ◽  
Vol 8 (2) ◽  
pp. 12-31 ◽  
Author(s):  
Beatrice Alenljung ◽  
Jessica Lindblom ◽  
Rebecca Andreasson ◽  
Tom Ziemke
Keyword(s):  
User Experience ◽  
Interdisciplinary Research ◽  
Human Robot Interaction ◽  
Added Value ◽  
Future Research ◽  
Human Society ◽  
Research Needs ◽  
Robot Interaction ◽  
Socially Interactive Robots

Socially interactive robots are expected to have an increasing importance in human society. For social robots to provide long-term added value to people's lives, it is of major importance to stress the need for positive user experience (UX) of such robots. The human-centered view emphasizes various aspects that emerge in the interaction between humans and robots. However, a positive UX does not appear by itself but has to be designed for and evaluated systematically. In this paper, the focus is on the role and relevance of UX in human-robot interaction (HRI) and four trends concerning the role and relevance of UX related to socially interactive robots are identified, and three challenges related to its evaluation are also presented. It is argued that current research efforts and directions are not sufficient in HRI research, and that future research needs to further address interdisciplinary research in order to achieve long-term success of socially interactive robots.

scholarly journals Bilateral Personalized Dialogue Generation with Contrastive Learning

2022 ◽  
Author(s):  
Bin Li ◽  
Hanjun Deng
Keyword(s):  
Mutual Information ◽  
Objective Function ◽  
User Experience ◽  
State Of The Art ◽  
Human Robot Interaction ◽  
Learning Objective ◽  
Fusion Method ◽  
Conditional Mutual Information ◽  
Robot Interaction ◽  
Proper Response

Abstract Generating personalized responses is one of the major challenges in natural human-robot interaction. Current researches in this field mainly focus on generating responses consistent with the robot’s pre-assigned persona, while ignoring the user’s persona. Such responses may be inappropriate or even offensive, which may lead to the bad user experience. Therefore, we propose a Bilateral Personalized Dialogue Generation (BPDG) method for dyadic conversation, which integrates user and robot personas into dialogue generation via designing a dynamic persona-aware fusion method. To bridge the gap between the learning objective function and evaluation metrics, the Conditional Mutual Information Maximum (CMIM) criterion is adopted with contrastive learning to select the proper response from the generated candidates. Moreover, a bilateral persona accuracy metric is designed to measure the degree of bilateral personalization. Experimental results demonstrate that, compared with several state-of-the-art methods, the final results of the proposed method are more personalized and consistent with bilateral personas in terms of both automatic and manual evaluations.

scholarly journals Conveying Emotions by Touch to the Nao Robot: A User Experience Perspective

2018 ◽  
Vol 2 (4) ◽  
pp. 82 ◽  
Author(s):  
Beatrice Alenljung ◽  
Rebecca Andreasson ◽  
Robert Lowe ◽  
Erik Billing ◽  
Jessica Lindblom
Keyword(s):  
User Experience ◽  
Social Robots ◽  
Human Robot Interaction ◽  
Emotional Communication ◽  
Qualitative Investigation ◽  
Robot Interaction ◽  
Quality Requirements ◽  
Four Dimensions ◽  
Nao Robot ◽  
Different Parts

Social robots are expected gradually to be used by more and more people in a wider range of settings, domestic as well as professional. As a consequence, the features and quality requirements on human–robot interaction will increase, comprising possibilities to communicate emotions, establishing a positive user experience, e.g., using touch. In this paper, the focus is on depicting how humans, as the users of robots, experience tactile emotional communication with the Nao Robot, as well as identifying aspects affecting the experience and touch behavior. A qualitative investigation was conducted as part of a larger experiment. The major findings consist of 15 different aspects that vary along one or more dimensions and how those influence the four dimensions of user experience that are present in the study, as well as the different parts of touch behavior of conveying emotions.

How to include User eXperience in the design of Human-Robot Interaction

2021 ◽  
Vol 68 ◽  
pp. 102072
Author(s):  
Elisa Prati ◽  
Margherita Peruzzini ◽  
Marcello Pellicciari ◽  
Roberto Raffaeli
Keyword(s):  
User Experience ◽  
Human Robot Interaction ◽  
Robot Interaction
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