This paper presents a computational model designed for planning both implicit and explicit communication of intentions, goals, and desires. Building upon previous research focused on implicit communication of intention via actions, our model seeks to ...

Sobotify is a software framework, which aims at simplifying the process of using robots in the field of social robotics. This paper delineates the design and usage of the framework. With Sobotify, even non-technical people should be enabled to use robots ...

Explanations are a critical topic in AI and robotics, and their importance in generating trust and allowing for successful human-robot interactions has been widely recognized. However, it is still an open question when and in what interaction contexts ...

Real-world robot system deployment is often performed in complex and unstructured environments. These complex environments coupled with multi-faceted global tasks often lead to complicated stakeholder structures, making designing for these environments ...

Rerun is a software system to support post-facto analysis in simulation research. In this submission, we show it working inside a multiplayer driving simulator. Rerun is built in Unity 3D and captures the virtual behavior of participants and their ...

In this paper, we report on field tests of a hand sanitizer robot, which tracks people's movements using gaze and which uses several different persuasive utterances when people are approaching. Our results show that adding speech made people ...

This paper presents a conceptual approach regarding robot-to-user adaptation, with a focus on the psychological effects of this adaptation process during human-robot interaction (HRI). This approach emphasizes the pertinent role of users in shaping ...

Although robot-to-human touch experiments have been performed, they have all used direct tele-operation with a remote controller, pre-programmed hand motions, or tracked the human with wearable trackers. This report introduces a project that aims to ...

The prolificacy of human-robot interaction not only depends on a robot's ability to understand the intent and content of the human utterance but also gets impacted by the automatic speech recognition (ASR) system. Modern ASR can provide highly accurate (...

In this work, we propose a gesture-based language to allow humans to interact with robots using their body in a natural way. We have created a new gesture detection model using neural networks and a new dataset of humans making a collection of body ...

This paper presents an early-stage idea of using 'robot death' as an integral component of human-robot interaction design for companion robots. Reviewing previous discussions around the deaths of companion robots in real-life and popular culture contexts,...

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 ...

Conversation is one of the primary methods of interaction between humans and robots. It provides a natural way of communication with the robot, thereby reducing the obstacles that can be faced through other interfaces (e.g., text or touch) that may cause ...

Nowadays, robots are expected to interact more physically, cognitively, and socially with people. They should adapt to unpredictable contexts alongside individuals with various behaviours. For this reason, personalisation is a valuable attribute for ...

We study human-robot handovers in a naturalistic collaboration scenario, where a mobile manipulator robot assists a person during a crafting session by providing and retrieving objects used for wooden piece assembly (functional activities) and painting (...

Prior error management techniques often do not possess the versatility to appropriately address robot errors across tasks and scenarios. Their fundamental framework involves explicit, manual error management and implicit domain-specific information ...

This study focused on investigating the content, structure, and predictors of robots' stereotypes. We involved 120 participants in an online study and asked them to rate 80 robots on communion, agency, suitability for female and suitability for male ...

As robots become more ubiquitous in our daily life, it has become very important to extract task and environmental information through more natural, meaningful, and easy-to-use interaction interfaces. Not only this helps the user to adapt to (thus ...

In this paper, we present a software-architecture for robot-assisted configurable and autonomous Joint-Attention-Training scenarios to support autism therapy. The focus of the work is the expandability of the architecture for the use of different ...

The main goal of this workshop is to establish awareness of the emerging field of socially assistive shopping robots in human-robot interaction (HRI) and, simultaneously, to foster interdisciplinary approaches that combine the development of social ...