Wizard-of-Oz experiments play a vital role in Human-Robot Interaction (HRI), as they allow for quick and simple hypothesis testing. Still, a publicly available general tool to conduct such experiments is currently not available in the research community, and researchers often develop and implement their own tools, customized for each individual experiment. Besides being inefficient in terms of programming efforts, this also makes it harder for non-technical researchers to conduct Wizard-of-Oz experiments. In this paper, we present a general and easy-to-use tool for the Pepper robot, one of the most commonly used robots in this context. While we provide the concrete interface for Pepper robots only, the system architecture is independent of the type of robot and can be adapted for other robots. A configuration file, which saves experiment-specific parameters, enables a quick setup for reproducible and repeatable Wizard-of-Oz experiments. A central server provides a graphical interface a browser while handling the mapping of user input to actions on the robot. In our interface, keyboard shortcuts may be assigned to phrases, gestures, and composite behaviors to simplify and speed up control of the robot. The interface is lightweight and independent of the operating system. Our initial tests confirm that the system is functional, flexible, and easy to use. The interface, including source code, is made commonly available, and we hope that it will be useful for researchers with any background who want to conduct HRI experiments.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317264 | PMC |
http://dx.doi.org/10.3389/frobt.2021.668057 | DOI Listing |
Phenomics
June 2024
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 2R3 Canada.
Unlabelled: Depression is one of the most common mental disorders, and rates of depression in individuals increase each year. Traditional diagnostic methods are primarily based on professional judgment, which is prone to individual bias. Therefore, it is crucial to design an effective and robust diagnostic method for automated depression detection.
View Article and Find Full Text PDFInt J Occup Saf Ergon
March 2024
William States Lee College of Engineering, UNC Charlotte, USA.
This article explores the usability and user experience challenges of ARROWS, a novel augmented reality (AR) and wearable technology (WT) safety system for roadway work zones, an area with limited existing usability research. We utilized a mixed-method approach with two complementary experiments in indoor and outdoor settings, using the Wizard of Oz methodology and a high-fidelity prototype. We focused on identifying usability challenges, factors contributing to user experience and the distinct needs of highway workers, documenting results using the system usability scale (SUS), the rating scale mental effort (RSME) and a trust score.
View Article and Find Full Text PDFStud Health Technol Inform
August 2023
GRHAPES Lab, National Superior Institute for Inclusive Education (INSEI), France.
This paper deals with the personality perception of a humanoid robot when talking to it in a natural manner, using the wizard of Oz. An experiment involving 20 subjects was performed, to compare two heteroevaluation characteristics: identity perception of human vs. humanoid, and identity perception differences when interacting with a human directly or with the same human through the robot mediation.
View Article and Find Full Text PDFFront Psychiatry
June 2023
Department of Electrical and Computer Engineering & Ingenuity Labs, Queen's University, Kingston, ON, Canada.
Introduction: To assist mental health care providers with the assessment of depression, research to develop a standardized, accessible, and non-invasive technique has garnered considerable attention. Our study focuses on the application of deep learning models for automatic assessment of depression severity based on clinical interview transcriptions. Despite the recent success of deep learning, the lack of large-scale high-quality datasets is a major performance bottleneck for many mental health applications.
View Article and Find Full Text PDFFront Psychol
March 2023
College of Design and Innovation, Shenzhen Technology University, Shenzhen, China.
Voice user interface (VUI) is widely used in developing intelligent products due to its low learning cost. However, most of such products do not consider the cognitive and language ability of elderly people, which leads to low interaction efficiency, poor user experience, and unfriendliness to them. Firstly, the paper analyzes the factors which influence the voice interaction behavior of elderly people: speech rate of elderly people, dialog task type, and feedback word count.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!