Katie Winkle

• PhD Student at Bristol Robotics Laboratory

Introduction As social robots gain advanced communication capabilities, users increasingly expect coherent verbal and non-verbal behaviours. Recent work has shown that Large Language Models (LLMs) can support autonomous generation of such multimodal behaviours. However, current LLM-based approaches to non-verbal behaviour often involve multi-step r...

Successful, enjoyable group interactions are important in public and personal contexts, especially for teenagers whose peer groups are important for self-identity and self-esteem. Social robots seemingly have the potential to positively shape group interactions, but it seems difficult to effect such impact by designing robot behaviors solely based...

Fine-tuning LLMs with first-order methods like back-propagation is computationally intensive. Zeroth-Order (ZO) optimisation, using function evaluations instead of gradients, reduces memory usage but suffers from slow convergence in high-dimensional models. As a result, ZO research in LLMs has mostly focused on classification, overlooking more comp...

This paper presents a participatory, qualitative focus group study with 13 young carers -- young people between 13 to 18 years old who take care of a parent due to either a chronic illness, mental health problem, or other condition connected with a need for care in Wales and England. We identify and assert young carers as an important, thus far unc...

Significant amounts of HRI research effort are spent on the design/evaluation of robot bodies. Critical discussion and debates concerning the way bodies are treated and considered within HRI have tended to focus on the implications of designing/interacting with highly anthropomorphic robots, yet drawing attention away from the human body in HRI, pa...

With the rapid advancement of autonomous vehicle (AV) technology, AVs are progressively seen as interactive agents with some level of autonomy, as well as some context-dependent social features. This introduces new challenges and questions, already relevant in other areas of human-robot interaction (HRI) - namely, if an AV is perceived as a social...

Young adults may feel embarrassed when disclosing sensitive information to their parents, while parents might similarly avoid sharing sensitive aspects of their lives with their children. How to design interactive interventions that are sensitive to the needs of both younger and older family members in mediating sensitive information remains an ope...

Significant amounts of HRI research effort are spent on the design/evaluation of robot bodies. Critical discussion and debates concerning the way bodies are treated and considered within HRI have tended to focus on the implications of designing/interacting with highly anthropomorphic robots, yet drawing attention away from the human body in HRI, pa...

Pretrained Language Models (PLMs) store extensive knowledge within their weights, enabling them to recall vast amount of information. However, relying on this parametric knowledge brings some limitations such as outdated information or gaps in the training data. This work addresses these problems by distinguish between two separate solutions: knowl...

The Transformer architecture has seen a lot of attention in recent years also thanks to its ability to scale well and allow massive parallelism during training. This has made possible the development of Language Models (LMs) of increasing size and the discovery of latent abilities that completely outclass traditional methods e.g. rule-based systems...

Human cognition deals with uncertain real-world environments with appropriate situational awareness (SA), risk awareness, coordination , and decision making. On the other hand, current robotic agents, such as self-driving cars and drones, need to make decisions based on information beyond what can currently be incorporated in the human-based models...

With the increasing prevalence of social robots which support diverse social identity performance (see e.g., Furhat Robotics “unlimited amount of characters, all in one robot“ ) comes a need to consider both the risks and opportunities of designing robots which embody particular human-like traits and characteristics. Gender represents one such trai...

As HRI researchers, designers, and developers we need to reflect on the ways that power pervades the social contexts we're designing for and in. What can we do, with the power we have as designers, to produce more equitable HRI?

With the deployment of robots in public realms, researchers are seeing more and more cases of abusive dis-inhibition towards robots. Because robots embody gendered identities, poor navigation of antisocial dynamics may reinforce or exacerbate gender-based violence. Robots deployed in social settings must recognize and respond to abuse in a way that...

We present a video-based online study (N = 222) examining the impacts of gendering an in-home, socially assistive robot designed to aid with rehabilitative engagement. Specifically, we consider the potential impact on users’ basic psychological need (BPN) fulfillment alongside measures of the robot’s effectiveness as well as the potential impact on...

Introduction This paper presents Enactive Artificial Intelligence (eAI) as a gender-inclusive approach to AI, emphasizing the need to address social marginalization resulting from unrepresentative AI design. Methods The study employs a multidisciplinary framework to explore the intersectionality of gender and technoscience, focusing on the subvers...

Diversity, equality, and inclusion (DEI) are critical factors that need to be considered when developing AI and robotic technologies for people. The lack of such considerations exacerbates and can also perpetuate existing forms of discrimination and biases in society for years to come. Although concerns have already been voiced around the globe, th...

Enactive Artificial Intelligence (eAI) motivates new directions towards gender-inclusive AI. Beyond a mirror reflecting our values, AI design has a profound impact on shaping the enaction of cultural identities. The traditionally unrepresentative, white, cisgender, heterosexual dominant narratives are partial, and thereby active vehicles of social...

Enactive Artificial Intelligence (eAI) motivates new directions towards gender-inclusive AI. Beyond a mirror reflecting our values, AI design has a profound impact on shaping the enaction of cultural identities. The traditionally unrepresentative, white, cisgender, heterosexual dominant narratives are partial, and thereby active vehicles of social...

Recent work identified a concerning trend of disproportional gender representation in research participants in Human-Computer Interaction (HCI). Motivated by the fact that Human-Robot Interaction (HRI) shares many participant practices with HCI, we explored whether this trend is mirrored in our field. By producing a dataset covering participant gen...

Recent works have identified both risks and opportunities afforded by robot gendering. Specifically, robot gendering risks the propagation of harmful gender stereotypes, but may positively influence robot acceptance/impact, and/or actually offer a vehicle with which to educate about and challenge traditional gender stereotypes. Our work sits at the...

Risk Assessment is a well known and powerful method for discovering and mitigating risks, and hence improving safety. Ethical Risk Assessment uses the same approach, but extends the scope of risk to cover ethical risks in addition to safety risks. In this paper we outline Ethical Risk Assessment (ERA), and set ERA within the broader framework of Re...

People who need robots are often not the same as people who can program them. This key observation in human-robot interaction (HRI) has lead to a number of challenges when developing robotic applications, since developers must understand the exact needs of end-users. Participatory Design (PD), the process of including stakeholders such as end users...

Researchers are seeing more and more cases of abusive disinhibition towards robots in public realms. Because robots embody gendered identities, poor navigation of antisocial dynamics may reinforce or exacerbate gender-based violence. It is essential that robots deployed in social settings be able to recognize and respond to abuse in a way that mini...

This article presents a cross-cultural replication of recent work on productively violating gender norms; specifically demonstrating that breaking norms can boost robot credibility while avoiding harmful stereotypes. In this work we demonstrate via a 3 (country) x 3 (robot behaviour) between-subject experiment that these findings replicate cross-cu...

Participatory design (PD) has been used to good success in human-robot interaction (HRI) but typically remains limited to the early phases of development, with subsequent robot behaviours then being hardcoded by engineers or utilised in Wizard-of-Oz (WoZ) systems that rarely achieve autonomy. In this article, we present LEADOR (Led-by-Experts Autom...

The development of responsible robotics requires paying attention to responsibility within the research process in addition to responsibility as the outcome of research. This paper describes the preparation and application of a novel method to explore hazardous human-robot interactions. The Virtual Witness Testimony role-play interview is an approa...

Participatory Design (PD) in Human-Robot Interaction (HRI) typically remains limited to the early phases of development, with subsequent robot behaviours then being hardcoded by engineers or utilised in Wizard-of-Oz (WoZ) systems that rarely achieve autonomy. We present LEADOR (Led-by-Experts Automation and Design Of Robots) an end-to-end PD method...

In this article, we reflect on this concept of (robot) social identity performance and its importance in HRI, identifying a number of discussion points and further research questions relating to these under-explored topics. We further question whether we HRI practitioners can go beyond risk avoidance and instead actively leverage robot identity per...

This paper explores (1) how robots and multi-robot systems can perform identity specifically for human benefit, (2) the factors that impact how humans perceive robot identity and its connection with mind and body, and (3) possible implications of designing non-traditional identity configurations. In particular, we explore the unique ways that ident...

Robot accidents are inevitable. Although rare, they have been happening since assembly line robots were first introduced in the 1960s. But a new generation of social robots is now becoming commonplace. Equipped with sophisticated embedded artificial intelligence (AI), social robots might be deployed as care robots to assist elderly or disabled peop...

This paper offers a case study in undertaking a mutual shaping approach to the design of socially assistive robots. We consider the use of social robots in therapy, and we present our results regarding this application, but the approach is generalisable. Our methodology combines elements of user-centered and participatory design with a focus on mut...

Risk Assessment is a well known and powerful method for discovering and mitigating risks, and hence improving safety. Ethical Risk Assessment uses the same approach but extends the envelope of risk to cover ethical risks in addition to safety risks. In this paper we outline Ethical Risk Assessment (ERA) and set ERA within the broader framework of R...

Robot accidents are inevitable. Although rare, they have been happening since assembly-line robots were first introduced in the 1960s. But a new generation of social robots are now becoming commonplace. Often with sophisticated embedded artificial intelligence (AI) social robots might be deployed as care robots to assist elderly or disabled people...

The contemporary development of social robots has been accompanied by concerns over their capacity to cause harm to humans. Our RoboTIPS study sets out to design and trial an innovative design feature that will advance the safe operation of social robots and foster societal trust. The Ethical Black Box (EBB) collects data about a robot's actions in...

Today, off-the-shelf social robots are used increasingly in the HRI community to research social interactions with different target user groups across a range of domains (e.g. healthcare, education, retail and other public spaces). We invite everyone doing HRI studies with end users, in the lab or in the wild, to collect past experiences of methods...

In this paper we present the results of a qualitative study with therapists to inform social robotics and human robot interaction (HRI) for engagement in rehabilitative therapies. Our results add to growing evidence that socially assistive robots (SARs) could play a role in addressing patients' low engagement with self-directed exercise programmes....

This extended abstract gives an overview of current doctoral research being undertaken on human robot interaction (HRI) for social robots to be used as motivation and engagement tools in rehabilitative therapies, e.g. physiotherapy, occupational therapy and speech therapy. Specifically the work aims to design the AI, social behaviours and interacti...