| 1. |
- Crowley, James L., et al.
(author)
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A Hierarchical Framework for Collaborative Artificial Intelligence
- 2023
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In: IEEE pervasive computing. - : IEEE Computer Society. - 1536-1268 .- 1558-2590. ; 22:1, s. 9-18
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Journal article (peer-reviewed)abstract
- We propose a hierarchical framework for collaborative intelligent systems. This framework organizes research challenges based on the nature of the collaborative activity and the information that must be shared, with each level building on capabilities provided by lower levels. We review research paradigms at each level, with a description of classical engineering-based approaches and modern alternatives based on machine learning, illustrated with a running example using a hypothetical personal service robot. We discuss cross-cutting issues that occur at all levels, focusing on the problem of communicating and sharing comprehension, the role of explanation and the social nature of collaboration. We conclude with a summary of research challenges and a discussion of the potential for economic and societal impact provided by technologies that enhance human abilities and empower people and society through collaboration with intelligent systems.
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| 2. |
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| 3. |
- Mauriello, Matthew Louis, et al.
(author)
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Pervasive Sustainability
- 2024
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In: IEEE pervasive computing. - : IEEE. - 1536-1268 .- 1558-2590. ; 23:2, s. 4-6
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Journal article (peer-reviewed)abstract
- With each passing year, we continue to read and write statements such as "As the climate crisis accelerates, the imperative for sustainability has never been more urgent." Pervasive computing continues to be specially poised to contribute to this priority. As a field, we collectively develop new devices and services; we create tools for algorithmic data analysis and control; and not least, we study digital technologies and services in use, and assess their impacts. This introduction to the special issue briefly reflects on sustainability research in pervasive computing, makes connections to important related fields, and presents the issue's five articles, which represent the kind of diverse perspectives and approaches needed to address one of the biggest challenges of our time.
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| 4. |
- Toczé, Klervie, et al.
(author)
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The Necessary Shift: Toward a Sufficient Edge Computing
- 2024
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In: IEEE pervasive computing. - : IEEE COMPUTER SOC. - 1536-1268 .- 1558-2590. ; 23:2, s. 7-16
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Journal article (peer-reviewed)abstract
- Edge computing is becoming a reality and attracts an increasing interest both from academia and industry. This is driven by its promises of enabling/improving use cases thanks to, e.g., lower latency or alleviated network load. This paves the way for edge computing having a huge impact on our daily lives in the (near) future. However, except works dealing with energy efficiency, studies of the (un)sustainability of edge computing are almost nonexistent, which is worrying. In this article, we advocate the need to go beyond energy efficiency and face the resource impact of edge computing. At this point when we are still able to influence design choices, it is the responsibility of this community to ensure future systems do not become unsustainable down the line. In particular, we suggest embracing a sufficiency mindset, aiming at reducing absolute resource impact and defining what is a good enough service level. After explaining why we need to move beyond efficiency, we explore the concept of sufficiency and identify related challenges. Then, we propose a first version of an edge sufficiency toolkit as a helper for shifting toward a sufficiency mindset. Finally, we illustrate the use of this toolkit in a case study.
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