16,557 research outputs found
Challenges in Collaborative HRI for Remote Robot Teams
Collaboration between human supervisors and remote teams of robots is highly
challenging, particularly in high-stakes, distant, hazardous locations, such as
off-shore energy platforms. In order for these teams of robots to truly be
beneficial, they need to be trusted to operate autonomously, performing tasks
such as inspection and emergency response, thus reducing the number of
personnel placed in harm's way. As remote robots are generally trusted less
than robots in close-proximity, we present a solution to instil trust in the
operator through a `mediator robot' that can exhibit social skills, alongside
sophisticated visualisation techniques. In this position paper, we present
general challenges and then take a closer look at one challenge in particular,
discussing an initial study, which investigates the relationship between the
level of control the supervisor hands over to the mediator robot and how this
affects their trust. We show that the supervisor is more likely to have higher
trust overall if their initial experience involves handing over control of the
emergency situation to the robotic assistant. We discuss this result, here, as
well as other challenges and interaction techniques for human-robot
collaboration.Comment: 9 pages. Peer reviewed position paper accepted in the CHI 2019
Workshop: The Challenges of Working on Social Robots that Collaborate with
People (SIRCHI2019), ACM CHI Conference on Human Factors in Computing
Systems, May 2019, Glasgow, U
Virtual pedagogical model: development scenarios
info:eu-repo/semantics/publishedVersio
A Review of Verbal and Non-Verbal Human-Robot Interactive Communication
In this paper, an overview of human-robot interactive communication is
presented, covering verbal as well as non-verbal aspects of human-robot
interaction. Following a historical introduction, and motivation towards fluid
human-robot communication, ten desiderata are proposed, which provide an
organizational axis both of recent as well as of future research on human-robot
communication. Then, the ten desiderata are examined in detail, culminating to
a unifying discussion, and a forward-looking conclusion
Anticipatory Mobile Computing: A Survey of the State of the Art and Research Challenges
Today's mobile phones are far from mere communication devices they were ten
years ago. Equipped with sophisticated sensors and advanced computing hardware,
phones can be used to infer users' location, activity, social setting and more.
As devices become increasingly intelligent, their capabilities evolve beyond
inferring context to predicting it, and then reasoning and acting upon the
predicted context. This article provides an overview of the current state of
the art in mobile sensing and context prediction paving the way for
full-fledged anticipatory mobile computing. We present a survey of phenomena
that mobile phones can infer and predict, and offer a description of machine
learning techniques used for such predictions. We then discuss proactive
decision making and decision delivery via the user-device feedback loop.
Finally, we discuss the challenges and opportunities of anticipatory mobile
computing.Comment: 29 pages, 5 figure
Creating Interaction Scenarios With a New Graphical User Interface
The field of human-centered computing has known a major progress these past
few years. It is admitted that this field is multidisciplinary and that the
human is the core of the system. It shows two matters of concern:
multidisciplinary and human. The first one reveals that each discipline plays
an important role in the global research and that the collaboration between
everyone is needed. The second one explains that a growing number of researches
aims at making the human commitment degree increase by giving him/her a
decisive role in the human-machine interaction. This paper focuses on these
both concerns and presents MICE (Machines Interaction Control in their
Environment) which is a system where the human is the one who makes the
decisions to manage the interaction with the machines. In an ambient context,
the human can decide of objects actions by creating interaction scenarios with
a new visual programming language: scenL.Comment: 5th International Workshop on Intelligent Interfaces for
Human-Computer Interaction, Palerme : Italy (2012
Mobile MultiModal presentation
ABSTRACT This paper presents the latest research into a mobile intelligent multimedia presentation system called TeleMorph which can dynamically generate a multimedia presentation using output modalities that are determined by the bandwidth available on a mobile device's wireless connection. To demonstrate the effectiveness of this research TeleTuras, a tourist information guide will implement the solution provided by TeleMorph, thus demonstrating its effectiveness. This paper highlights issues surrounding such a system & introduces the architecture
Research and innovation in smart mobility and services in Europe: An assessment based on the Transport Research and Innovation Monitoring and Information System (TRIMIS)
For smart mobility to be cost-efficient and ready for future needs, adequate research and innovation (R&I) in this field is necessary. This report provides a comprehensive analysis of R&I in smart mobility and services in Europe. The assessment follows the methodology developed by the European Commission’s Transport Research and Innovation Monitoring and Information System (TRIMIS). The report critically assesses research by thematic area and technologies, highlighting recent developments and future needs.JRC.C.4-Sustainable Transpor
Automatic Methodology for Multi-modal Trip Generation with Roadside LiDAR
Transportation planning based on historical data and methods has major limitations. Trip data canbe useful to increase the transportation safety of the specific sites and the process and programming
purposes. One of the challenges in this regard is data collecting to gain an accurate analysis of land
use development. The previous methods of data gathering such as human observational data
counting and automatic methods like pneumatic tubes and video camera suffers some limitations
that affect the accuracy of trip analysis which cause over mitigating or set some wrong rules and
regulations. Light Detection and Ranging (LiDAR) sensing is a powerful tool that has been vastly
used for mapping, safety, and medical applications. [1] Also, its application in transportation has
drawn attention in recent years. However, LiDAR sense is yet to be further explored in trip
generation. This study is an initial attempt to: 1) perform a LiDAR-based trip generation data
gathering for a local area in midtown, Reno, and 2) analyze the resulting data based on the GIS
software to develop a systematic plan for the case study and beyond
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