000 03485nam a22005775i 4500
001 978-3-031-42819-7
003 DE-He213
005 20240730170432.0
007 cr nn 008mamaa
008 231103s2024 sz | s |||| 0|eng d
020 _a9783031428197
_9978-3-031-42819-7
024 7 _a10.1007/978-3-031-42819-7
_2doi
050 4 _aHF54.5-.56
072 7 _aKJQ
_2bicssc
072 7 _aCOM039000
_2bisacsh
072 7 _aKJQ
_2thema
082 0 4 _a658.4038
_223
100 1 _aColombo, Moreno.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_993542
245 1 0 _aPhenotropic Interaction
_h[electronic resource] :
_bImproving Interfaces with Computing with Words and Perceptions /
_cby Moreno Colombo.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXXV, 168 p. 31 illus., 27 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aFuzzy Management Methods,
_x2196-4149
505 0 _aIntroduction -- Phenotropic Interaction -- Cognitive and Perceptual Computing -- Semantic Similarity Measures -- Automatic Precisiation of Meaning -- Fuzzy Analogical Reasoning -- Phenotropic Interaction in Virtual Assistants -- Phenotropic Interaction in Smart Cities -- Outlook and Conclusions.
520 _aSuccessful interaction between humans and artificial systems allows for combining the advantages of all actors in solving problems. However, interaction is often demanding for people, as it builds on artificial concepts, such as strict protocols. This book presents the new paradigm of 'phenotropic' interaction, which aims to improve the naturalness of the interaction thanks to bio-inspired approaches. These include methods for understanding and reasoning with human perceptions expressed as natural language, fundamental to support the artificial system to better understand people's real desires and needs. Methods for improving the theories of computing with words and perceptions are developed in this book and applied to concrete use cases in prototypes enhancing the exchange of information with virtual assistants and smart city ecosystems. The presented use cases serve not only as examples of the application of the phenotropic interaction principles but also to verify their effectiveimpact on communication.
650 0 _aBusiness information services.
_928705
650 0 _aUser interfaces (Computer systems).
_911681
650 0 _aHuman-computer interaction.
_96196
650 0 _aComputational linguistics.
_96146
650 0 _aComputational intelligence.
_97716
650 1 4 _aBusiness Information Systems.
_947705
650 2 4 _aUser Interfaces and Human Computer Interaction.
_931632
650 2 4 _aComputational Linguistics.
_96146
650 2 4 _aComputational Intelligence.
_97716
710 2 _aSpringerLink (Online service)
_993546
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031428180
776 0 8 _iPrinted edition:
_z9783031428203
776 0 8 _iPrinted edition:
_z9783031428210
830 0 _aFuzzy Management Methods,
_x2196-4149
_993548
856 4 0 _uhttps://doi.org/10.1007/978-3-031-42819-7
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cEBK
999 _c86942
_d86942