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Abstract

In this chapter, an overview is provided of the research areas of CogInfoCom channels, speechability and socio-cognitive ICT—all three of which have recently emerged under CogInfoCom (further recent initiatives are presented in the following chapter). CogInfoCom channels focus on how multi-sensory messages between cognitive entities can be structured in such a way that semantic meaning can be effectively interpreted; while speechability and socio-cognitive ICT address various aspects of linguistic and social tangleactions in geographically and temporally distributed cognitive networks. The second half of the chapter briefly presents research efforts and results that are representative of these areas and have appeared at CogInfoCom conferences and special issues.

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Notes

  1. 1.

    The decision to present results from CogInfoCom fora serves the goal of tractability, and in no way intends to suggest that important and relevant results have not been published elsewhere.

  2. 2.

    In this case, high-level refers to the conceptual level that can be readily interpreted by a cognitive entity, as opposed to lower-level concepts, which constitute higher-level ones but are not usually interpreted directly.

  3. 3.

    For a possible unification of the many ways in which the concept of modality is interpreted, see Sect. 8.1.3

References

  • Abuczki A (2014) On the disambiguation of multifunctional discourse markers in multimodal interaction. J Multimodal User Interfaces 1–14

    Google Scholar 

  • Balata J, Franc J, Mikovec Z, Slavik P (2014) Collaborative navigation of visually impaired. J Multimodal User Interfaces 8:175–185

    Article  Google Scholar 

  • Benus S (2013) Cognitive aspects of communicating information with conversational fillers in slovak. In: 4th IEEE international conference on cognitive infocommunications. IEEE, pp 271–276

    Google Scholar 

  • Benus S, Levitan R, Hirschberg J (2012) Entrainment in spontaneous speech: the case of filled pauses in supreme court hearings. In: 3rd IEEE international conference on cognitive infocommunications, pp 793–797

    Google Scholar 

  • Benus S, Gravano A, Levitan R, Levitan SI, Willson L, Hirschberg J (2014a) Entrainment, dominance and alliance in supreme court hearings. Knowl-Based Syst. doi:10.1016/j.knosys.2014.05.020

    Google Scholar 

  • Benus S, Levitan R, Hirschberg J, Gravano A, Darjaa S (2014b) Entrainment in slovak collaborative dialogues. In: 5th IEEE international conference on cognitive infocommunications, Vietri sul Mare, pp 309–313

    Google Scholar 

  • Berthelon F, Sander P (2013a) Emotion ontology for context awareness. In: 4th IEEE international conference on cognitive infocommunications, Budapest, pp 59–64

    Google Scholar 

  • Berthelon F, Sander P (2013b) Regression algorithm for emotion detection. In: 4th IEEE international conference on cognitive infocommunications, Budapest, pp 91–96

    Google Scholar 

  • Bhatt GD (2001) Knowledge management in organizations: examining the interaction between technologies, techniques, and people. J Knowl Manag 5(1):68–75

    Article  Google Scholar 

  • Blattner M, Sumikawa D, Greenberg R (1989) Earcons and icons: their structure and common design principles. Hum Comput Interact 4(1):11–44

    Article  Google Scholar 

  • Blum JR, Eichhorn A, Smith S, Sterle-Contala M, Cooperstock JR (2014) Real-time emergency response: improved management of real-time information during crisis situations. J Multimodal User Interfaces 8:161–173

    Article  Google Scholar 

  • Bonin F, Campbell N, Vogel C (2014a) Time for laughter. Knowl-Based Syst 71:15–24

    Article  Google Scholar 

  • Bonin F, Vogel C, Campbell K (2014b) Social sequence analysis: temporal sequences in interactional conversations. In: 5th IEEE international conference on cognitive infocommunications, Vietri sul Mare, pp 403–406

    Google Scholar 

  • Campbell N (2012) Social aspects and speechability in CogInfoCom systems. In: 3rd IEEE international conference on cognitive infocommunications, Kosice

    Google Scholar 

  • Cheng DS, Salamin H, Salvagnini P, Cristani M, Vinciarelli A, Murino V (2014) Predicting online lecture ratings based on gesturing and vocal behavior. J Multimodal User Interfaces 8(2):151–160

    Article  Google Scholar 

  • ChuDuc H, NguyenPhan K, NguyenViet D (2013) A review of heart rate variability and its applications. APCBEE Procedia 7:80–85

    Article  Google Scholar 

  • Csapo A, Baranyi P (2011) Perceptual interpolation and open-ended exploration of auditory icons and earcons. In: 17th international conference on auditory display, international community for auditory display, Budapest

    Google Scholar 

  • Csapo A, Baranyi P (2012a) A conceptual framework for the design of audio based cognitive infocommunication channels. In: Recent advances in intelligent engineering systems. Studies in computational intelligence, vol 368. Springer, Berlin/Heidelberg, pp 261–281. doi:10.1007/978-3-642-23229-9_12

  • Csapo A, Baranyi P (2012b) CogInfoCom channels and related definitions revisited. In: 2012 IEEE 10th jubilee international symposium on intelligent systems and informatics (SISY). Subotica, pp 73–78

    Google Scholar 

  • Csapo A, Baranyi P (2012c) The spiral discovery method: an interpretable tuning model for CogInfoCom channels. J Adv Comput Intell Intell Inform 16(2):358–367

    Google Scholar 

  • Csapo A, Baranyi P (2012d) A unified terminology for the structure and semantics of CogInfoCom channels. Acta Polytech Hung 9(1):85–105

    Google Scholar 

  • Csapo A, Baranyi P (2013) The evolving nature of human-device communication: lessons learned from an example use-case scenario. Infocommun J 5(4):27–32

    Google Scholar 

  • Csapo A, Israel JH, Belaifa O (2013) Oversketching and associated audio-based feedback channels for a virtual sketching application. In: 4th IEEE international conference on cognitive infocommunications, Budapest, pp 509–513

    Google Scholar 

  • Dropuljic B, Popovic S, Petrinovic D, Cosic K (2013) Estimation of emotional states enhanced by a priori knowledge. In: 4th IEEE international conference on cognitive infocommunications, Budapest, pp 481–486

    Google Scholar 

  • Enriquez M, MacLean K (2003) The hapticon editor: a tool in support of haptic communication research. In: Proceedings of the 11th symposium on haptic interfaces for virtual environment and teleoperator systems (HAPTICS’03). IEEE Computer Society, Los Angeles, pp 356–362

    Google Scholar 

  • Fekete K, Csorba K (2014) Power extraction of human behavior in mobile environment. In: 5th IEEE international conference on cognitive infocommunications, Vietri sul Mare, pp 481–486

    Google Scholar 

  • Galambos P (2012) Vibrotactile feedback for haptics and telemanipulation: survey, concept and experiment. Acta Polytech Hung 9(1):41–65

    MathSciNet  Google Scholar 

  • Galanis D, Karabetsos S, Koutsombogera M, Papageorgiou H, Esposito A, Riviello MT (2013) Classification of emotional speech units in call centre interactions. In: 4th IEEE international conference on cognitive infocommunications, pp 403–406

    Google Scholar 

  • Hangya V, Farkas R (2013) Target-oriented opinion mining from tweets. In: 4th IEEE international conference on cognitive infocommunications, pp 251–254

    Google Scholar 

  • Hemingway CJ, Gough TG (1998) A socio-cognitive theory of information systems. Research Report Series, University of Leeds, School of Computer Studies (25):All–All

    Google Scholar 

  • Hercegfi K (2011a) Heart rate variability monitoring during human-computer interaction. Acta Polytech Hung 8(5):205–224

    Google Scholar 

  • Hercegfi K (2011b) Improved temporal resolution heart rate variability monitoring-pilot results of non-laboratory experiments targeting future assessment of human-computer interaction. Int J Occup Saf Ergon 17(2):105–117

    Article  Google Scholar 

  • Kaye J (2004) Making scents: aromatic output for HCI. Interactions 11:48–61. doi:http://doi.acm.org/10.1145/962342.964333

  • Kimura M, Uwano H, Ohira M, Matsumoto KI (2009) Toward constructing an electroencephalogram measurement method for usability evaluation. In: Jacko JA (ed) Human-computer interaction. New trends. Springer, Berlin, pp 95–104

    Google Scholar 

  • Kiss G, Vicsi K (2014) Physiological and cognitive status monitoring on the base of acoustic-phonetic speech parameters. In: Besacier L, Dediu A-H, Martin-Vide C (eds) Statistical language and speech processing. Springer, Berlin, pp 120–131

    Google Scholar 

  • Kiss G, Sztaho D, Vicsi K, Golemis A (2014) Connection between body condition and speech parameters - especially in the case of hypoxia. In: 5th IEEE international conference on cognitive infocommunications, Vietri sul Mare, pp 333–336

    Google Scholar 

  • Kondor D, Csabai I, Dobos L, Szule J, Barankai N, Hanyecz T, Sebok T, Kallus Z, Vattay G (2013) Using robust PCA to estimate regional characteristics of language use from geo-tagged twitter messages. In: 4th IEEE international conference on cognitive infocommunications, pp 393–398

    Google Scholar 

  • Kovesdan G, Asztalos M, Lengyel L (2014) Fast android application development with component modeling. In: 5th IEEE international conference on cognitive infocommunications, Vietri sul Mare, pp 515–520

    Google Scholar 

  • Lee H, Lee J, Seo S (2009) Brain response to good and bad design. In: Jacko JA (ed) Human-computer interaction. New trends. Springer, Berlin, pp 111–120

    Google Scholar 

  • Leung WK, Yuen KW, Wong KH, Meng H (2013) Development of text-to-audiovisual speech synthesis to support interactive language learning on a mobile device. In: 4th IEEE international conference on cognitive infocommunications, pp 583–588

    Google Scholar 

  • Liao Sh (2003) Knowledge management technologies and applications-literature review from 1995 to 2002. Expert Syst Appl 25(2):155–164

    Article  Google Scholar 

  • Maclean K, Enriquez M (2003) Perceptual design of haptic icons. In: Proceedings of eurohaptics 2003, pp 351–363

    Google Scholar 

  • Matuszka T, Vinceller Z, Laki S (2013) On a keyword-lifecycle model for real-time event detection in social network data. In: 4th IEEE international conference on cognitive infocommunications, pp 453–458

    Google Scholar 

  • Mulas F, Pilloni P, Manca M, Boratto L, Carta S (2013) Linking human-computer interaction with the social web: a web application to improve motivation in the exercising activity of users. In: 4th IEEE international conference on cognitive infocommunications, pp 351–356

    Google Scholar 

  • Nass CI, Yen C (2010) The man who lied to his laptop: what machines teach us about human relationships. Current Trade

    Google Scholar 

  • Navarretta C (2014a) Feedback facial expressions and emotions. J Multimodal User Interfaces 8(2):135–141

    Article  Google Scholar 

  • Navarretta C (2014b) Predicting emotions in facial expressions from the annotations in naturally occurring first encounters. Knowl-Based Syst 71:34–40

    Article  Google Scholar 

  • Navarretta C (2014c) Speech, emotions and facial expressions in dyadic spontaneous conversations. Intell Decis Technol 8(4):255–263

    Google Scholar 

  • Origlia A, Galata V, Cutugno F (2014) Introducing context in syllable-based emotion tracking. In: 5th IEEE international conference on cognitive infocommunications, Vietri sul Mare, pp 337–342

    Google Scholar 

  • Palovics R, Daroczy B, Benczur AA (2013) Temporal prediction of retweet count. In: 4th IEEE international conference on cognitive infocommunications, pp 267–270

    Google Scholar 

  • Puszta A, Szule J, Laki S (2013) Near real-time thematic clustering of web documents and other Internet contents. In: 4th IEEE international conference on cognitive infocommunications, Budapest, pp 307–312

    Google Scholar 

  • Raptis S (2013) Exploring latent structure in expressive speech. In: 4th IEEE international conference on cognitive infocommunications. IEEE, pp 741–746

    Google Scholar 

  • Scott-Phillips TC, Blythe RA, Gardner A, West SA (2012) How do communication systems emerge? Proc R Soc B Biol Sci 279(1735):1943–1949

    Article  Google Scholar 

  • Sharples M, Jeffery N, Du Boulay JBH, Teather D, Teather B, Du Boulay GH (2002) Socio-cognitive engineering: a methodology for the design of human-centred technology. Eur J Oper Res 136(2):310–323

    Article  MATH  Google Scholar 

  • Spitters S, Sanders M, op den Akker R, Bruijnes M (2013) The recognition of acted interpersonal stance in police interrogations. In: 4th IEEE international conference on cognitive infocommunications, Budapest, pp 65–70

    Google Scholar 

  • Szabo R, Farkas K, Ispany M, Benczur AA, Batfai N, Jeszenszky P, Laki S, Vagner A, Kollar L, Sidlo C (2013) Framework for smart city applications based on participatory sensing. In: 4th IEEE international conference on cognitive infocommunications, pp 295–300

    Google Scholar 

  • Szegletes L, Koles M, Forstner B (2014) The design of a biofeedback framework for dynamic difficulty adjustment in games. In: 5th IEEE international conference on cognitive infocommunications, Vietri sul Mare, pp 295–299

    Google Scholar 

  • Tanaka H, Sakti S, Neubig G, Toda T, Campbell N, Nakamura S (2012) Non-verbal cognitive skills and autistic conditions: an analysis and training tool. In: 3rd IEEE international conference on cognitive infocommunications, Kosice, pp 41–46

    Google Scholar 

  • Torok M, Kosa Z (2015) Association in knowledge management technologies. In: 2015 IEEE 13th international symposium on applied machine intelligence and informatics (SAMI). IEEE, pp 301–306

    Google Scholar 

  • Trung DN, Jung JJ, Kiss A (2013) Towards modeling fuzzy propagation for sentiment analysis in online social networks: a case study on TweetScope. In: 4th IEEE international conference on cognitive infocommunications, pp 331–338

    Google Scholar 

  • Vinciarelli A, Pantic M, Bourlard H (2009) Social signal processing: survey of an emerging domain. Image Vision Comput 27(12):1743–1759

    Article  Google Scholar 

  • Vogel C (2013) Multimodal conformity of expression between blog names and content. In: 2013 IEEE 4th international conference on cognitive infocommunications (CogInfoCom). IEEE, pp 23–28

    Google Scholar 

  • Watabe T, Niitsuma M (2013) Mental map generation assistance tool using relative pitch difference and angular information for visually impaired people. In: 4th IEEE international conference on cognitive infocommunications, pp 255–260

    Google Scholar 

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Baranyi, P., Csapo, A., Sallai, G. (2015). CogInfoCom-Driven Research Areas. In: Cognitive Infocommunications (CogInfoCom). Springer, Cham. https://doi.org/10.1007/978-3-319-19608-4_5

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  • DOI: https://doi.org/10.1007/978-3-319-19608-4_5

  • Publisher Name: Springer, Cham

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