Disciplining the body? Reflections on the cross disciplinary import of ‘embodied meaning’ into interaction design

The aim of this paper is above all critically to examine and clarify some of the negative implications that the idea of ‘embodied meaning’ has for the emergent field of interaction design research. Originally, the term ‘embodied meaning’ has been brought into HCI research from phenomenology and cognitive semantics in order to better understand how user’s experience of new technological systems relies to an increasing extent on full-body interaction. Embodied approaches to technology design could thus be found in Winograd & Flores (1986), Dourish (2001), Lund (2003), Klemmer, Hartman & Takayama (2006), Hornecker & Buur (2006), Hurtienne & Israel (2007) among others. However, fertile as this cross-disciplinary import may be, design research can generally be criticised for being ‘undisciplined’, because of its tendency merely to take over reductionist ideas of embodied meaning from those neighbouring disciplines without questioning the inherent limitations it thereby subscribe to. In this paper I focus on this reductionism and what it means for interaction design research. I start out by introducing the field of interaction design and two central research questions that it raises. This will serve as a prerequisite for understanding the overall intention of bringing the notion of ‘embodied meaning’ from cognitive semantics into design research. Narrowing my account down to the concepts of ‘image schemas’ and their ‘metaphorical extension’, I then explain in more detail what is reductionistic about the notion of embodied meaning. Having done so, I shed light on the consequences this reductionism might have for design research by examining a recently developed framework for intuitive user interaction along with two case examples. In so doing I sketch an alternative view of embodied meaning for interaction design research. Keywords: Interaction Design, Embodied Meaning, Tangible User Interaction, Design Theory, Cognitive Semiotics</p

A Study on Learning Social Robot Navigation with Multimodal Perception

Autonomous mobile robots need to perceive the environments with their onboard sensors (e.g., LiDARs and RGB cameras) and then make appropriate navigation decisions. In order to navigate human-inhabited public spaces, such a navigation task becomes more than only obstacle avoidance, but also requires considering surrounding humans and their intentions to somewhat change the navigation behavior in response to the underlying social norms, i.e., being socially compliant. Machine learning methods are shown to be effective in capturing those complex and subtle social interactions in a data-driven manner, without explicitly hand-crafting simplified models or cost functions. Considering multiple available sensor modalities and the efficiency of learning methods, this paper presents a comprehensive study on learning social robot navigation with multimodal perception using a large-scale real-world dataset. The study investigates social robot navigation decision making on both the global and local planning levels and contrasts unimodal and multimodal learning against a set of classical navigation approaches in different social scenarios, while also analyzing the training and generalizability performance from the learning perspective. We also conduct a human study on how learning with multimodal perception affects the perceived social compliance. The results show that multimodal learning has a clear advantage over unimodal learning in both dataset and human studies. We open-source our code for the community's future use to study multimodal perception for learning social robot navigation

A review and comparison of ontology-based approaches to robot autonomy

Within the next decades, robots will need to be able to execute a large variety of tasks autonomously in a large variety of environments. To relax the resulting programming effort, a knowledge-enabled approach to robot programming can be adopted to organize information in re-usable knowledge pieces. However, for the ease of reuse, there needs to be an agreement on the meaning of terms. A common approach is to represent these terms using ontology languages that conceptualize the respective domain. In this work, we will review projects that use ontologies to support robot autonomy. We will systematically search for projects that fulfill a set of inclusion criteria and compare them with each other with respect to the scope of their ontology, what types of cognitive capabilities are supported by the use of ontologies, and which is their application domain.Peer ReviewedPostprint (author's final draft

Embedding Computational Thinking into Authentic Technology Practice

This paper presents the findings from a pilot study aimed to investigate how the computational thinking aspect of digital technologies can be embedded authentically into students’ technological practice. The project explored teaching and learning computational thinking in context and particularly focus on technological needs and practice for young Māori learners. There is recognition internationally about the need for digital technologies within the curriculum. Computational thinking is a critical component of this and is defined as an approach to problem-solving, designing computer systems, and understanding related human behaviours, while drawing on fundamental ideas of computing. Therefore, it is critical that all students acquire computational thinking skills. Technology practice is most successful when embedded within authentic contexts, thus this paper presents a study that facilitated the learning of two concepts of computational thinking: sequencing and orientation within culturally embedded technology practice. The study’s vision is to assist mainstream Māori learners from low socio-economic backgrounds to develop an understanding of related concepts of computational thinking. The research design drew on Māori values and practice that situates learning within authentic Māori contexts. Kaupapa Māori pedagogies were used in our design-based intervention programme to achieve the research goal. The focus of the project was to improve digital technologies learning outcomes to ensure Māori tamariki (children) see themselves as comfortably situated in a digital world

A framework for culture-aware robots based on fuzzy logic

Cultural adaptation, i.e., the matching of a robot's behaviours to the cultural norms and preferences of its user, is a well known key requirement for the success of any assistive application. However, culture-dependent robot behaviours are often implicitly set by designers, thus not allowing for an easy and automatic adaptation to different cultures. This paper presents a method for the design of culture-aware robots, that can automatically adapt their behaviour to conform to a given culture. We propose a mapping from cultural factors to related parameters of robot behaviours which relies on linguistic variables to encode heterogeneous cultural factors in a uniform formalism, and on fuzzy rules to encode qualitative relations among multiple variables. We illustrate the approach in two practical case studies

Robot–City Interaction: Mapping the Research Landscape—A Survey of the Interactions Between Robots and Modern Cities

The goal of this work is to describe how robots interact with complex city environments, and to identify the main characteristics of an emerging field that we call Robot--City Interaction (RCI). Given the central role recently gained by modern cities as use cases for the deployment of advanced technologies, and the advancements achieved in the robotics field in recent years, we assume that there is an increasing interest both in integrating robots in urban ecosystems, and in studying how they can interact and benefit from each others. Therefore, our challenge becomes to verify the emergence of such area, to assess its current state and to identify the main characteristics, core themes and research challenges associated with it. This is achieved by reviewing a preliminary body of work contributing to this area, which we classify and analyze according to an analytical framework including a set of key dimensions for the area of RCI. Such review not only serves as a preliminary state-of-the-art in the area, but also allows us to identify the main characteristics of RCI and its research landscape

Addressing joint action challenges in HRI: Insights from psychology and philosophy

The vast expansion of research in human-robot interactions (HRI) these last decades has been accompanied by the design of increasingly skilled robots for engaging in joint actions with humans. However, these advances have encountered significant challenges to ensure fluent interactions and sustain human motivation through the different steps of joint action. After exploring current literature on joint action in HRI, leading to a more precise definition of these challenges, the present article proposes some perspectives borrowed from psychology and philosophy showing the key role of communication in human interactions. From mutual recognition between individuals to the expression of commitment and social expectations, we argue that communicative cues can facilitate coordination, prediction, and motivation in the context of joint action. The description of several notions thus suggests that some communicative capacities can be implemented in the context of joint action for HRI, leading to an integrated perspective of robotic communication.French National Research Agency (ANR) ANR-16-CE33-0017 ANR-17-EURE-0017 FrontCog ANR-10-IDEX-0001-02 PSLJuan de la Cierva-Incorporacion grant IJC2019-040199-ISpanish Government PID2019-108870GB-I00 PID2019-109764RB-I0

Who Is (Communicatively More) Responsible Behind the Wheel? Applying the Theory of Communicative Responsibility to TAM in the Context of Using Navigation Technology

By examining how perceived usefulness and ease of use relate to the user’s perception (i.e., communicative responsibility), the communicative behavior of the navigation system (i.e., the landmarks used to give directions), and the context of driving (i.e., familiarity of the driving location), this study applies the theory of communicative responsibility to the technology acceptance model to better understand why users are more likely to adopt certain navigation technologies while driving. We hypothesized that users’ perceived symmetry in communicative responsibility independently and interactively (with communicative behavior of the navigation system and the driving situation) affects perceived ease of use and usefulness of the navigation system. Consequently, the perceived ease of use and usefulness may affect the user’s intention to use the navigation system. This study found that usefulness was a significant predictor of behavioral intention. While driving in a less familiar location, the drivers perceived the navigation system to be more useful. When the navigation system provided location-specific landmarks, such as the name of a local store, drivers who attributed more communicative responsibility to the system were likely to find it useful