A Narrative Approach to Human-Robot Interaction Prototyping for Companion Robots

© 2020 Kheng Lee Koay et al., published by De Gruyter This work is licensed under the Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/This paper presents a proof of concept prototype study for domestic home robot companions, using a narrative-based methodology based on the principles of immersive engagement and fictional enquiry, creating scenarios which are inter-connected through a coherent narrative arc, to encourage participant immersion within a realistic setting. The aim was to ground human interactions with this technology in a coherent, meaningful experience. Nine participants interacted with a robotic agent in a smart home environment twice a week over a month, with each interaction framed within a greater narrative arc. Participant responses, both to the scenarios and the robotic agents used within them are discussed, suggesting that the prototyping methodology was successful in conveying a meaningful interaction experience.Peer reviewe

An Immersive Telepresence System using RGB-D Sensors and Head Mounted Display

We present a tele-immersive system that enables people to interact with each other in a virtual world using body gestures in addition to verbal communication. Beyond the obvious applications, including general online conversations and gaming, we hypothesize that our proposed system would be particularly beneficial to education by offering rich visual contents and interactivity. One distinct feature is the integration of egocentric pose recognition that allows participants to use their gestures to demonstrate and manipulate virtual objects simultaneously. This functionality enables the instructor to ef- fectively and efficiently explain and illustrate complex concepts or sophisticated problems in an intuitive manner. The highly interactive and flexible environment can capture and sustain more student attention than the traditional classroom setting and, thus, delivers a compelling experience to the students. Our main focus here is to investigate possible solutions for the system design and implementation and devise strategies for fast, efficient computation suitable for visual data processing and network transmission. We describe the technique and experiments in details and provide quantitative performance results, demonstrating our system can be run comfortably and reliably for different application scenarios. Our preliminary results are promising and demonstrate the potential for more compelling directions in cyberlearning.Comment: IEEE International Symposium on Multimedia 201

A Comparison Between Trend Following (Tidy Little Robot – TLR) and Reversal Trading (Dirty Little Robot – DLR) Algobot Strategies

Algorithmic trading has become a defining force in modern financial markets, offering traders precision, speed, and automation. This article explores the world of algorithmic trading through the lens of two distinct algobots, Tidy Little Robot (TLR) and Dirty Little Robot (DLR). Developed using Pine Script 5 on the TradingView platform and implemented on the Pionex exchange, these algobots navigate the BTC/USDT perpetual market with a 1-minute timeframe. TLR excels in trend-following scenarios, while DLR specializes in identifying reversals. The study delves into their performance, methodology, implications, interpretations, limitations, and future research prospects, offering valuable insights into the evolving landscape of algorithmic trading

Internet of robotic things : converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms

The Internet of Things (IoT) concept is evolving rapidly and influencing newdevelopments in various application domains, such as the Internet of MobileThings (IoMT), Autonomous Internet of Things (A-IoT), Autonomous Systemof Things (ASoT), Internet of Autonomous Things (IoAT), Internetof Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc.that are progressing/advancing by using IoT technology. The IoT influencerepresents new development and deployment challenges in different areassuch as seamless platform integration, context based cognitive network integration,new mobile sensor/actuator network paradigms, things identification(addressing, naming in IoT) and dynamic things discoverability and manyothers. The IoRT represents new convergence challenges and their need to be addressed, in one side the programmability and the communication ofmultiple heterogeneous mobile/autonomous/robotic things for cooperating,their coordination, configuration, exchange of information, security, safetyand protection. Developments in IoT heterogeneous parallel processing/communication and dynamic systems based on parallelism and concurrencyrequire new ideas for integrating the intelligent “devices”, collaborativerobots (COBOTS), into IoT applications. Dynamic maintainability, selfhealing,self-repair of resources, changing resource state, (re-) configurationand context based IoT systems for service implementation and integrationwith IoT network service composition are of paramount importance whennew “cognitive devices” are becoming active participants in IoT applications.This chapter aims to be an overview of the IoRT concept, technologies,architectures and applications and to provide a comprehensive coverage offuture challenges, developments and applications

"Without libraries what have we?" Public libraries as nodes for technological empowerment in the era of smart cities, AI and big data

Since 2014, a growing body of critical research has pointed out flaws in smart city development. It has been described as too technology-led and business-oriented, diminishing citizens' agency and causing digital divides. As the agenda keeps spreading, there is an urgent need to develop more participatory, inclusive and bottom-up approaches to balance interests of those currently in strong power positions, such as large corporations. Participatory design (PD) and participatory approaches in general have been suggested as a remedy, but they often tend to be local, small-scale and short-term. Therefore, their impacts are often modest as well. We suggest that we need to start thinking about ways to create scalable approaches that would grow the temporal and spatial impact of actions and practices that intend to increase citizens' understanding and control over new technologies, i.e. their technological agency. Without making sure that more people have adequate knowledge and sufficient control and mastery of technologies, societal discussion and ultimately, political decisions, are left to few experts. We explore the potential of public libraries to act as an ally and cooperation partner in participatory design and technology education in general, with a significant potential to broaden micro-level actions' impact. The paper consists of a broad literature review mapping the central challenges of current smart city development; this is followed with an introduction to the Finnish library system as a democratic project; finally, we present three examples of how libraries are carrying out technological education connected to emerging technologies, particularly to 3D printing, robotics and virtual reality. Our central argument is that there is a need to bridge micro-level actions, such as those connected to participatory design projects, with the macro-level technopolitical development by collaborating with meso-level actors and networks.Peer reviewe

Whispers in the Classroom

Part of the Volume on Digital Young, Innovation, and the UnexpectedOnline backchannel chat rooms offer the potential to transform classroom learning in unexpected and powerful ways. However, the specific ways in which they can influence teaching pedagogy and learning opportunities are less well understood. Activities in a backchannel may include the dissemination of ideas, knowledge building, asking and answering questions, engaging in critical discourse, and sharing information and resources. This chapter describes a backchannel chat room that has taken place over multiple years in a large university student community. It explores unforeseen and exciting opportunities, as well as possible limitations, for designing teaching and learning practices to leverage this communication medium. With a deeper understanding of the opportunities and limitations of the backchannel, educators and instructional designers could transform the classroom experience from a passive lecture model to one of active, collaborative, and engaged knowledge production

AI Agents, Humans and Untangling the Marketing of Artificial Intelligence in Learning Environments

This exploratory study identifies the tangling of proposed relationships between human and non-human agents by providing an analysis on how AI technologies are marketed for learning subjects through a critical discourse analysis of corporate advertisements. We ask: Amid these emerging technologies, how are humans and AI technologies framed as agents with agency? How are learners framed by corporate advertising as part of this blurring? We used a public, open-access cultural analytics database and repository, Fabric of Digital Life (‘Fabric’, https://fabricofdigitallife.com/), to identify a set of artifacts as a dataset for such analysis. Results indicate that advertising promotes corporate products while also promoting idealized social practices for human-computer interaction and human-robot interaction in learning contexts. Using AI to automate relationships between students and teachers frames AI systems as authorities in both robot and non-robot platforms, blurring and minimizing student and instructor agency in learning environments

The Hierarchic treatment of marine ecological information from spatial networks of benthic platforms

Measuring biodiversity simultaneously in different locations, at different temporal scales, and over wide spatial scales is of strategic importance for the improvement of our understanding of the functioning of marine ecosystems and for the conservation of their biodiversity. Monitoring networks of cabled observatories, along with other docked autonomous systems (e.g., Remotely Operated Vehicles [ROVs], Autonomous Underwater Vehicles [AUVs], and crawlers), are being conceived and established at a spatial scale capable of tracking energy fluxes across benthic and pelagic compartments, as well as across geographic ecotones. At the same time, optoacoustic imaging is sustaining an unprecedented expansion in marine ecological monitoring, enabling the acquisition of new biological and environmental data at an appropriate spatiotemporal scale. At this stage, one of the main problems for an effective application of these technologies is the processing, storage, and treatment of the acquired complex ecological information. Here, we provide a conceptual overview on the technological developments in the multiparametric generation, storage, and automated hierarchic treatment of biological and environmental information required to capture the spatiotemporal complexity of a marine ecosystem. In doing so, we present a pipeline of ecological data acquisition and processing in different steps and prone to automation. We also give an example of population biomass, community richness and biodiversity data computation (as indicators for ecosystem functionality) with an Internet Operated Vehicle (a mobile crawler). Finally, we discuss the software requirements for that automated data processing at the level of cyber-infrastructures with sensor calibration and control, data banking, and ingestion into large data portals.Peer ReviewedPostprint (published version