Autonomous Vehicles in the Mobility System

Author(s):  
Thilo von Pape

This chapter discusses how autonomous vehicles (AVs) may interact with our evolving mobility system and what they mean for mobile communication research. It juxtaposes a conceptualization of AVs as manifestations of automation and artificial intelligence with an analysis of our mobility system as a historically grown hybrid of communication and transportation technologies. Since the emergence of railroad and telegraph, this system has evolved on two layers: an underlying infrastructure to power and coordinate the movements of objects, people, and ideas in industrially scaled speeds, volumes, and complexity and an interface to seamlessly access this infrastructure and control it. AVs are poised to further enhance the seamlessness which mobile phones and cars already lent to mobility. But in assuming increasingly sophisticated control tasks, AVs also disrupt an established shift toward individual control, demanding new interfaces to enable higher levels of individual and collective control over the mobility infrastructure.

Author(s):  
Laura Stark

This chapter surveys and analyzes recent literature on mobile communication to examine its relationship to gender and development, more specifically how women in developing countries use and are impacted by mobile phones. Focusing on issues of power, agency, and social status, the chapter reviews how mobile telephony has been found to be implicated in patriarchal bargaining in different societies, how privacy and control are enabled through it, what benefits have been shown to accrue to women using mobile phones, and what barriers, limitations, and disadvantages of mobile use exist for women and why. The conclusion urges more gender-disaggregated analysis of mobile phone impact and use and offers policy and design recommendations based on the overview and discussion.


Author(s):  
Christian Licoppe

This chapter discusses the research-oriented toward mobile communication and done within the perspective of ethnomethodology and/or conversation analysis (EM/CA). The first line of investigation focuses on the way specific affordances of mobile devices may enable or constrain certain actions and features of the sequential organization of talk. The second one is concerned with understanding how mobile phones and the kind of on-screen resources and events they make available on the move may constitute relevant resources in the organization of activities involving co-present participants. Eventually, to take into account the multiplication of communicative functionalities and social media apps currently available on smartphones and dealing in depth with the example of video-mediated communication, the author sketches the kind of research agenda that could make mutually relevant mobile communication research and EM/CA in the context of the current development of mobile technologies and resources.


2021 ◽  
Vol 3 (1) ◽  
pp. 9
Author(s):  
Shuxu Cao

<p>With the continuous development of science and technology, although artificial intelligence has become the norm, if artificial intelligence science and technology are applied to mobile communications, it will be a huge technological leap. Some companies use artificial intelligence to analyze their faults and early warnings, so that they can effectively communicate between communications. This kind of contact method mainly relies on the analysis of personnel, and finds out the cause of the fault through network positioning, so as to realize the connection between the networks and the early warning of the communication network. By building system equipment to realize remote operation and control support communication, communication can be effectively realized.</p>


Author(s):  
MOJCA PEŠEC

The development of artificial intelligence will have a significant impact on international security and the use of a military instrument of power. One of the most important tasks for national security professionals and decision makers is thus to prepare for the repercussions of artificial intelligence development. In the development of military capabilities, artificial intelligence is integrated into intelligence, observation, control and reconnaissance applications, as well as into logistics, cyber operations, information operations, command and control systems, semi-autonomous and autonomous vehicles, and lethal autonomous weapon systems. The artificial intelligence revolution is not going to happen tomorrow. Therefore, pre-prepared policies and the knowledge shared by policy- and decision makers can help us manage the unknowns ahead. Ključne besede Artificial intelligence, national security, military instrument of power, military capabilities, decision-makers


Author(s):  
Stephen R. Barley

The four chapters of this book summarize the results of thirty-five years dedicated to studying how technologies change work and organizations. The first chapter places current developments in artificial intelligence into the historical context of previous technological revolutions by drawing on William Faunce’s argument that the history of technology is one of progressive automation of the four components of any production system: energy, transformation, and transfer and control technologies. The second chapter lays out a role-based theory of how technologies occasion changes in organizations. The third chapter tackles the issue of how to conceptualize a more thorough approach to assessing how intelligent technologies, such as artificial intelligence, can shape work and employment. The fourth chapter discusses what has been learned over the years about the fears that arise when one sets out to study technical work and technical workers and methods for controlling those fears.


Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2146
Author(s):  
Manuel Andrés Vélez-Guerrero ◽  
Mauro Callejas-Cuervo ◽  
Stefano Mazzoleni

Processing and control systems based on artificial intelligence (AI) have progressively improved mobile robotic exoskeletons used in upper-limb motor rehabilitation. This systematic review presents the advances and trends of those technologies. A literature search was performed in Scopus, IEEE Xplore, Web of Science, and PubMed using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology with three main inclusion criteria: (a) motor or neuromotor rehabilitation for upper limbs, (b) mobile robotic exoskeletons, and (c) AI. The period under investigation spanned from 2016 to 2020, resulting in 30 articles that met the criteria. The literature showed the use of artificial neural networks (40%), adaptive algorithms (20%), and other mixed AI techniques (40%). Additionally, it was found that in only 16% of the articles, developments focused on neuromotor rehabilitation. The main trend in the research is the development of wearable robotic exoskeletons (53%) and the fusion of data collected from multiple sensors that enrich the training of intelligent algorithms. There is a latent need to develop more reliable systems through clinical validation and improvement of technical characteristics, such as weight/dimensions of devices, in order to have positive impacts on the rehabilitation process and improve the interactions among patients, teams of health professionals, and technology.


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