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The integration of artificial intelligence (AI) in the workplace is at a nascent stage, presenting both substantial opportunities and challenges for productivity growth. We argue that AI's potential will only be truly realized through strategic investments in human skills and comprehensive organizational redesign. Drawing on interdisciplinary insights, we highlight the critical role of AI-human collaboration, continuous workforce skill development, and adaptive organizational practices. We conclude with recommendations to create a human-centered environment conducive to AI-driven productivity gains through its assistance, augmentation, and automation capabilities. [ABSTRACT FROM AUTHOR]

Remote test settings have become more common due to COVID-19. This paper presents two user tests focusing on the usability and user experience of an augmented reality-related solution. We describe the proceeding of the tests from the perspective of what has been conducted face-to-face and remotely. Thereafter, the appropriateness of the used test methodology is evaluated based on (i) the acquired results, (ii) the ease of using and understanding the methods and (iii) the test atmosphere. The physical presence of a person providing technical support to the test participant proved vital for augmented reality-related testing; the location of other test organisers appears more indifferent. Finally, we present the perspectives to contemplate when choosing between face-to-face and remote features in the test setting. [ABSTRACT FROM AUTHOR]

Widespread adoption of artificial intelligence (AI) technologies is substantially affecting the human condition in ways that are not yet well understood. Negative unintended consequences abound including the perpetuation and exacerbation of societal inequalities and divisions via algorithmic decision making. We present six grand challenges for the scientific community to create AI technologies that are human-centered, that is, ethical, fair, and enhance the human condition. These grand challenges are the result of an international collaboration across academia, industry and government and represent the consensus views of a group of 26 experts in the field of human-centered artificial intelligence (HCAI). In essence, these challenges advocate for a human-centered approach to AI that (1) is centered in human well-being, (2) is designed responsibly, (3) respects privacy, (4) follows human-centered design principles, (5) is subject to appropriate governance and oversight, and (6) interacts with individuals while respecting human's cognitive capacities. We hope that these challenges and their associated research directions serve as a call for action to conduct research and development in AI that serves as a force multiplier towards more fair, equitable and sustainable societies. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Public Relations Research Middle East / Magallat Bhut Al-Laqat Al-Amh - Al-Srq Al-Aust is the property of Egyptian Public Relation Association and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Strokes impact over 800,000 people every year. Stroke care typically begins with inpatient care and then continues across an array of healthcare settings. These transitions are difficult for patients and caregivers, with psychosocial needs going unmet. Our team developed a case management intervention for acute stroke patients and their caregivers aimed at improving stroke transitions. The intervention focusses on four aspects of a successful care transition: support, preparedness, identifying and addressing unmet needs, and stroke education. This paper describes the development and implementation of this program, and is an example of the synergy created between neuroscience and clinical practice. [ABSTRACT FROM AUTHOR]

Explores the similarities and differences between mobile commerce and electronic commerce. Technologies that support mobile commerce; Value network for mobile commerce; Presentation of a consumer-centric model for mobile commerce.

The article discusses various reports published within the issue including one by Her-Sen Doong and Hsiangchu Lai on the usage continuance of e-negotiation systems and another by Ofir Turel and Yufei Yuan on the potential impact of trust assessments on the adoption of e-negotiation services.

With the advance of 5G communication technologies and Internet+ strategy, mobile commerce has experienced rapid growth and needs urgent attention from researchers. It is the aim of this article to analyze the literature on mobile commerce to address the following question: With the wide application of artificial intelligence and big data, what are the latest technology, models and problems in the background of the new era that researchers and practitioners need to understand in order to grasp the research frontier in this field quickly? Therefore, to achieve these objectives, this paper reviews 1130 m-commerce articles with 25,502 associated references from the SCI-EXPANDED, SSCI, CPCI-S, CPCI-SSH database and develops a framework of m-commerce value by analyzing the most influential authors, institutions, countries, journals and keywords in m-commerce. We apply three types of knowledge mapping to our study—cluster view, timezone view and timeline view. Frequency statistics, clustering coefficient as well as centrality calculation are employed to analyze by CiteSpace. We use the strength of citation bursts to analyze keywords and put result into the I-Modelwhich provide an important framework for classifying m-commerce activities and theories. In this study, we explore the knowledge structure, development and the future trend of mobile commerce for researchers. We identify the main technology and models to improve customer satisfaction and adoption behavior in the background of the new era which provide decision support for practitioners. Compared with the existing literature reviews of mobile commerce, we make a set of knowledge maps to show the future trend of mobile commerce and analyze visual results based on I-model. It is the first study to present the major clusters to reveal their associated intellectual bases and research fronts. [ABSTRACT FROM AUTHOR]