Giuseppe Gillini, Paolo Di Lillo, Filippo Arrichiello, Daniele Di Vito, Alessandro Marino, Gianluca Antonelli and Stefano Chiaverini
In the past decade, more than 700 million people are affected by some kind of disability or handicap. In this context, the research interest in assistive robotics is growing up…
Abstract
Purpose
In the past decade, more than 700 million people are affected by some kind of disability or handicap. In this context, the research interest in assistive robotics is growing up. For people with mobility impairments, daily life operations, as dressing or feeding, require the assistance of dedicated people; thus, the use of devices providing independent mobility can have a large impact on improving their life quality. The purpose of this paper is to present the development of a robotic system aimed at assisting people with this kind of severe motion disabilities by providing a certain level of autonomy.
Design/methodology/approach
The system is based on a hierarchical architecture where, at the top level, the user generates simple and high-level commands by resorting to a graphical user interface operated via a P300-based brain computer interface. These commands are ultimately converted into joint and Cartesian space tasks for the robotic system that are then handled by the robot motion control algorithm resorting to a set-based task priority inverse kinematic strategy. The overall architecture is realized by integrating control and perception software modules developed in the robots and systems environment with the BCI2000 framework, used to operate the brain–computer interfaces (BCI) device.
Findings
The effectiveness of the proposed architecture is validated through experiments where a user generates commands, via an Emotiv Epoc+ BCI, to perform assistive tasks that are executed by a Kinova MOVO robot, i.e. an omnidirectional mobile robotic platform equipped with two lightweight seven degrees of freedoms manipulators.
Originality/value
The P300 paradigm has been successfully integrated with a control architecture that allows us to command a complex robotic system to perform daily life operations. The user defines high-level commands via the BCI, letting all the low-level tasks, for example, safety-related tasks, to be handled by the system in a completely autonomous manner.
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Antonio Messeni Petruzzelli, Vito Albino, Nunzia Carbonara and Daniele Rotolo
The purpose of this paper is to investigate how universities' learning behavior (explorative or exploitative) and network structure (weak or strong inter‐organizational ties) can…
Abstract
Purpose
The purpose of this paper is to investigate how universities' learning behavior (explorative or exploitative) and network structure (weak or strong inter‐organizational ties) can affect their capability to collect and diffuse knowledge, and thus to act as knowledge gatekeepers.
Design/methodology/approach
The research methodology is based on the longitudinal study (from 2000 to 2007) of three UK universities (University of Cambridge, London's Global University, and Imperial College London), located in the area of London and selected on the basis of their knowledge mobility. In particular, to evaluate the knowledge mobility for each university, the paper considers the collaborative R&D relationships established by each university, in terms of joint‐patents registered at the European Patent Office (EPO).
Findings
The analysis has revealed that the universities' knowledge mobility is positively affected by both the explorative learning behavior and the establishment of strong inter‐organizational ties. Moreover, results have shown that an increase of the explorative speed can entail a less positive effect of the exploration on the universities' knowledge mobility, since they can become less able to consolidate and implement the acquired new knowledge.
Research limitations/implications
On the basis of these results, the present research provides interesting implications. In fact, recognizing the importance of explorative learning mechanisms, universities should enlarge and diversify their competencies and technological bases in order to be more effective knowledge sources and gatekeepers. Nevertheless, this shift towards new technologies and scientific fields should occur gradually, for instance towards more similar and contiguous technologies, so guaranteeing the necessary strengthening of skills and capabilities. Referring to the universities' network structure, the research suggests the importance of strong inter‐organizational ties as mechanisms that enable the transfer of knowledge. Hence, universities should promote the formation of stable and long‐lasting alliances and collaborations for favouring the creation of a trustworthy environment where knowledge can be exchanged and innovations rise.
Originality/value
The study contributes to the existing literature on knowledge gatekeepers, identifying its main performance, measuring it, and analyzing the impact exerted by two factors, as learning behavior and network structure.
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Looks at the first 100 years of Italian cinema examining its role in Italy’s recent history. Provides a bibliography of major film directors, Italian cinema sources, reference…
Abstract
Looks at the first 100 years of Italian cinema examining its role in Italy’s recent history. Provides a bibliography of major film directors, Italian cinema sources, reference works, histories, themes, theory and criticism and articles in journals.
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The relationships between tourist resorts and transnational crime are rarely analyzed systematically. This paper begins to fill this gap by examining how organized crime groups…
Abstract
Purpose
The relationships between tourist resorts and transnational crime are rarely analyzed systematically. This paper begins to fill this gap by examining how organized crime groups and individuals linked to them can take advantage of tourist resorts to commit crimes.
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Marialuisa Saviano, Asha Thomas, Marzia Del Prete, Daniele Verderese and Pasquale Sasso
This paper aims to contribute to the discussion on integrating humans and technology in customer service within the framework of Society 5.0, which emphasizes the growing role of…
Abstract
Purpose
This paper aims to contribute to the discussion on integrating humans and technology in customer service within the framework of Society 5.0, which emphasizes the growing role of artificial intelligence (AI). It examines how effectively new generative AI-based chatbots can handle customer emotions and explores their impact on determining the point at which a customer–machine interaction should be transferred to a human agent to prevent customer disengagement, referred to as the Switch Point (SP).
Design/methodology/approach
To evaluate the capabilities of new generative AI-based chatbots in managing emotions, ChatGPT-3.5, Gemini and Copilot are tested using the Trait Emotional Intelligence Questionnaire Short-Form (TEIQue-SF). A reference framework is developed to illustrate the shift in the Switch Point (SP).
Findings
Using the four-intelligence framework (mechanical, analytical, intuitive and empathetic), this study demonstrates that, despite advancements in AI’s ability to address emotions in customer service, even the most advanced chatbots—such as ChatGPT, Gemini and Copilot—still fall short of replicating the empathetic capabilities of human intelligence (HI). The concept of artificial emotional awareness (AEA) is introduced to characterize the intuitive intelligence of new generative AI chatbots in understanding customer emotions and triggering the SP. A complementary rather than replacement perspective of HI and AI is proposed, highlighting the impact of generative AI on the SP.
Research limitations/implications
This study is exploratory in nature and requires further theoretical development and empirical validation.
Practical implications
The study has only an exploratory character with respect to the possible real impact of the introduction of the new generative AI-based chatbots on collaborative approaches to the integration of humans and technology in Society 5.0.
Originality/value
Customer Relationship Management managers can use the proposed framework as a guide to adopt a dynamic approach to HI–AI collaboration in AI-driven customer service.