Multi-dimensional intelligence in smart physical objects
Federica Cena (),
Luca Console (),
Assunta Matassa () and
Ilaria Torre ()
Additional contact information
Federica Cena: University of Turin
Luca Console: University of Turin
Assunta Matassa: University of Turin
Ilaria Torre: University of Genoa
Information Systems Frontiers, 2019, vol. 21, issue 2, No 8, 383-404
Abstract:
Abstract This paper is about characterizing intelligence in Smart Physical Objects, i.e., objects based on the tight and seamless integration of a physical and a digital counterpart. The design of these objects gives rise to new opportunities but requires taking into account a number of dimensions that contribute to smartness. In our view, supported by considerable literature on this subject, smart behavior is the result of proper combinations of several dimensions of intelligence. In the paper we analyze these dimensions, singling out different alternatives leading to different capabilities of smart objects. The contribution of the paper is to provide a framework to guide a designer in making decisions about smartness in the physical object being designed, starting from its requisites. At the same time the framework provides an effective guide to classify and compare smart physical objects according to the type and level of smartness they exhibit. We apply the approach to a set of smart physical objects showing its suitability and usefulness.
Keywords: Smart Objects; Dimensions of intelligence; Levels of smartness; Design guidelines; Internet of things; Human-object interaction (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s10796-017-9758-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:infosf:v:21:y:2019:i:2:d:10.1007_s10796-017-9758-y
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10796
DOI: 10.1007/s10796-017-9758-y
Access Statistics for this article
Information Systems Frontiers is currently edited by Ram Ramesh and Raghav Rao
More articles in Information Systems Frontiers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().