FB
F. Broz
Authored
7 records found
Inclusive HRI
Equity and Diversity in Design, Application, Methods, and Community
Discrimination and bias are pressing issues of many AI and robotics applications. These outcomes may derive from limited datasets that do not fully represent society as a whole or from the AI scientific community's western-male configuration bias. Although being a pressing issue,
...
TSES-R
An Extended Scale for Measuring Parental Expectations toward Robots for Children in Healthcare
There is a growing interest in implementing robotics applications for children in healthcare to provide companionship, comfort, education, and therapy. Parental expectations regarding robotics for young children play a critical role in influencing its development and acceptance.
...
Understanding Design Preferences for Robots for Pain Management
A Co-Design Study
There is growing interest in psychological interventions using socially assistive robots to mitigate distress and pain in the pediatric population. This work seeks to address the deficit in understanding of what features and functionality young children and their parents desire t
...
Integrative Robo-Ethics
Uncovering Roboticists’ Attitudes to Ethics and Moving Forward
This article proposes an integrative approach to robotics research, based on bringing interdisciplinarity into the lab. Such an approach will facilitate researchers across various fields in gaining a more nuanced understanding of technology, how it is developed, and its potential
...
Correction to
Integrative Robo-Ethics: Uncovering Roboticists’ Attitudes to Ethics and Moving Forward (International Journal of Social Robotics, (2023), 10.1007/s12369-023-00978-2)
In the original publication of this article, the affiliation information of two authors was inadvertently published incorrectly. Please find the correct affiliation information below: Antonio Fleres 1PhD School for Communication Studies, IULM University, via Carlo Bo 1, 20143 Mil
...
With the aim of providing extra motivation to adhere to repetitive, individual sports training, this paper presents an autonomous robotic squash coach capable of high-level personalisation. The system was evaluated in person with 16 participants each conducting three 15-minute so
...
Social robots can support children in their socio-emotional development [38]. To improve the cooperation between a child and a social robot, a good relationship is vital. Self-disclosure is an essential element for building personal relationships. Yet, knowledge about the effects
...
Contributed
13 records found
Annotation practices in affective computing
What are these algorithms actually trained on?
In the machine learning research community, significant importance is given to the optimization of techniques which are employed once a benchmark dataset is given. However, less importance is assigned to the quality of these datasets and to how these datasets are obtained. In thi
...
A Quest through Interconnected Datasets: Research on Annotation Practices in Highly Cited Audio Machine Learning Work and Their Utilized Datasets
Annotation Practices in Datasets Utilized by The International Conference on Acoustics, Speech, and Signal Processing (ICASSP) Conferences: A Transparency Analysis
This research examines transparency between ICASSP conference papers and the dataset documentations related to the datasets' annotation practices. Top-cited 5 papers and 51 unique resources in total were considered. All of the selected papers utilized at least one dataset. For ev
...
Investigating Data Collection and Reporting Practices of Human Annotations in Societally Impactful Machine Learning Applications
A Systematic Review of Top-Cited IEEE Access Papers
This systematic review investigates the practices and implications of human annotations in machine learning (ML) research. Analyzing a selection of 100 papers from the IEEE Access Journal, the study explores the data collection and reporting methods employed. The findings reveal
...
Annotation Practices in Societally Impactful Machine Learning Applications
What are the recommender systems models actually trained on?
Machine Learning models are nowadays infused into all aspects of our lives. Perhaps one of its most common applications regards recommender systems, as they facilitate users' decision-making processes in various scenarios (e.g., e-commerce, social media, news, online learning, et
...
Improving User Engagement to Reduce Dropout Rates in Long Web Surveys
Exploring the Effectiveness of Achievement Primes Amongst Intrinsically and Extrinsically Motivated Respondents
Web surveys have increasingly been used to collect data from respondents over the years. They offer several advantages compared to other methods of obtaining data. Researchers benefit from a broad demographic representation to make generalized conclusions, and satisfaction surve
...
Who Cares About Fairness
How Background Influences the Way Practitioners Consider Machine Learning Harms
The increasing dangers of unfairness in machine learning (ML) are becoming a frequent subject of discussion, both, in academia and popular media. Recent literature focused on introducing and assessing algorithmic solutions to bias in ML. However, there is a disconnect between the
...
Human- or Robot-like Music Assistive Robots
Effects on Fluency and Memory Recall
Longer lifespans and an ageing population put tremendous pressure on the care of the elderly. With the technology of robotics breakthroughs, it appears that the use of robotics in elderly care is ready to take off. Interestingly, more and more robots are now being created with a
...
Robot Assisted Sing-along for Groups of Individuals with Dementia
Real-time Engagement Detection and Re-engagement in Human Robot Interaction
Cognitive Impairment, commonly termed as Dementia, affects a large number of older adults. People with dementia (PwD) experience cognitive decline that impacts their ability to perform daily activities and maintain social connections. The number of PwD is expected to rise, and un
...
Robot Assisted Sing-along for Groups of Individuals with Dementia
Real-time Engagement Detection and Re-engagement in Human Robot Interaction
Cognitive Impairment, commonly termed as Dementia, affects a large number of older adults. People with dementia (PwD) experience cognitive decline that impacts their ability to perform daily activities and maintain social connections. The number of PwD is expected to rise, and un
...
Machine learning is still one of the most rapidly growing fields, and is used in a variety of different sectors such as education, healthcare, financial modeling etc(Jordan and Mitchell 2015). However, along with this demand for machine learning algorithms, there comes a need for
...
The ability to identify and mitigate various risks and harms of using Machine Learning models in industry is an essential task. Specifically because these may produce harmful outcomes for stakeholders, including unfair or discriminatory results. Due to this there has been substan
...
Research that focuses on examining software bugs is critical when developing tools for preventing and for fixing software issues. Previous work in this area has explored other types of systems, such as bugs of compilers and security issues stemming from open source systems hosted
...
Several input types have been developed in different technological landscapes like crowdsourcing and conversational agents. However, sign language remains one of the input types that has not been looked upon. Although numerous amount of people around the world use sign language a
...