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Language Technology and 3rd Wave HCI: Towards Phatic Communication and Situated Interaction

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New Directions in Third Wave Human-Computer Interaction: Volume 1 - Technologies

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Abstract

In the field of language technology, researchers are starting to pay more attention to various interactional aspects of language – a development prompted by a confluence of factors, and one which applies equally to the processing of written and spoken language. Notably, the so-called ‘phatic’ aspects of linguistic communication are coming into focus in this work, where linguistic interaction is increasingly recognized as being fundamentally situated. This development resonates well with the concerns of third wave HCI, which involves a shift in focus from stating the requirements on HCI design primarily in terms of “context-free” information flow, to a view where it is recognized that HCI – just like interaction among humans – is indissolubly embedded in complex, shifting contexts. These – together with the different backgrounds and intentions of interaction participants – shape the interaction in ways which are not readily understandable in terms of rational information exchange, but which are nevertheless central aspects of the interaction, and which therefore must be taken into account in HCI design, including its linguistic aspects, forming the focus of this chapter.

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Notes

  1. 1.

    The relationship between LT and linguistics is a complex one (Reiter 2007; Jones 2007; Wintner 2009), but since the subject matter of both is human language and linguistic behavior, and since they share a common heritage, including a nontrivial set of ontological and methodological assumptions, they nevertheless tend to come up against the same problems.

  2. 2.

    There is now also an emerging field of sign language technology, dealing with the problems of processing the various signed languages of the Deaf (the Ethnologue lists no less than 177 sign languages worldwide; Simons and Fennig 2017). This field is still very much in its infancy, and we will not be able to discuss it further here.

  3. 3.

    To confuse matters further, LT – especially the written-language kind – is often treated as belonging to the field of artificial intelligence (AI), and in fact the three cases of communication breakdown mentioned at the beginning of this chapter have generally been reported as failures of AI. There is no doubt that these involve specifically LT, and also no doubt that LT is a thriving scientific discipline in its own right, with numerous conferences and journals.

  4. 4.

    Addressed in Sect. 3.1.

  5. 5.

    Addressed in Sect. 3.2.

  6. 6.

    Some well-known examples are the continental Nordic (or Scandinavian) languages Danish, Norwegian and Swedish; Bosnian, Croatian and Serbian; Bulgarian and Macedonian; Hindi and Urdu; and others.

References

  • Anderson B (2006) Imagined communities, 2nd edn. Verso, London

    Google Scholar 

  • Bamman D, Eisenstein J, Schnoebelen T (2014) Gender identity and lexical variation in social media. J Socioling 18(2):135–160

    Article  Google Scholar 

  • Bernstein B (1973) Class, codes and control. Volume 1: Theoretical studies towards a sociology of language. Paladin, St Albans

    Google Scholar 

  • Bickerton D (1990) Language & species. University of Chicago Press, Chicago

    Google Scholar 

  • Bødker S (2006) When second wave HCI meets third wave challenges. In: Proceedings of the 4th Nordic conference on human-computer interaction: changing roles. ACM, Oslo, pp 1–8

    Google Scholar 

  • Bødker S (2015) Third-wave HCI, 10 years later—participation and sharing. Interactions 22(5):24–31

    Article  Google Scholar 

  • Clavel C, Callejas Z (2016) Sentiment analysis: from opinion mining to human-agent interaction. IEEE Trans Affect Comput 7(1):74–93

    Article  Google Scholar 

  • Coupland J, Coupland N, Robinson JD (1992) “How are you?”: negotiating phatic communion. Lang Soc 21:207–230

    Article  Google Scholar 

  • Darwin C (1871) The descent of man, and selection in relation to sex. John Murray, London

    Google Scholar 

  • Dourish P (2004) What we talk about when we talk about context. Pers Ubiquit Comput 8(1):19–30

    Article  Google Scholar 

  • Doyle G, Goldberg A, Srivastava S, Frank M (2017) Alignment at work: using language to distinguish the internalization and self-regulation components of cultural fit in organizations. In: Proceedings of ACL 2017. ACL, Vancouver, pp 603–612

    Google Scholar 

  • Dunbar RIM (1996) Grooming, gossip and the evolution of language. Harvard University Press, Cambridge, MA

    Google Scholar 

  • Dunbar RIM (2004) Gossip in evolutionary perspective. Rev Gen Psychol 8(2):100–110

    Article  Google Scholar 

  • Eisenstein J (2015) Systematic patterning in phonologically-motivated orthographic variation. J Socioling 19(2):161–188

    Article  Google Scholar 

  • Hansegård NE (1968) Tvåspråkighet eller halvspråkighet. Bonniers, Stockholm

    Google Scholar 

  • Hansegård NE (1990) Den norrbottensfinska språkfrågan: En återblick på halvspråkighetsdebatten Uppsala universitet, Centrum för multietnisk forskning, Uppsala

    Google Scholar 

  • Harrison S, Sengers P, Tatar D (2007) The three paradigms of HCI, presentation at the Alt. Chi session at the SIGCHI conference on human factors in computing systems San Jose, CA

    Google Scholar 

  • Harrison S, Sengers P, Tatar D (2011) Making epistemological trouble: third-paradigm HCI as successor science. Interact Comput 23:385–392

    Article  Google Scholar 

  • Horton H (2016) Microsoft deletes ‘teen girl’ AI after it became a Hitler-loving sex robot within 24 hours. The Telegraph Published online 2016–03–24. http://www.telegraph.co.uk/technology/2016/03/24/microsofts-teen-girl-ai-turns-into-a-hitler-loving-sex-robot-wit/. Accessed on 10 Aug 2017

  • Hutchby I, Wooffitt R (1998) Conversation analysis. Polity Press, Cambridge

    Google Scholar 

  • Jönsson A, Dahlbäck N (1988) Talking to a computer is not like talking to your best friend. Scandinavian conference on artificial intelligence (SCAI’88). IOS, Tromsø

    Google Scholar 

  • Jakobson R (1960) Closing statement: linguistics and poetics. In: Sebeok TA (ed) Style in language. MIT Press, Cambridge, MA, pp 350–377

    Google Scholar 

  • Jakobson R, Fant G, Halle M (1951) Preliminaries to speech analysis. The disctinctive features and their correlates, Techical report. MIT, Cambridge, MA

    Google Scholar 

  • Jokinen K, McTear M (2009) Spoken dialogue systems. Synth Lect Hum Lang Technol 2(1):1–151

    Article  Google Scholar 

  • Jones KS (2007) Last words: computational linguistics: what about the linguistics? Comput Linguist 33(3):437

    Article  Google Scholar 

  • Jones PE (2013) Bernstein’s ‘codes’ and the linguistics of ‘deficit’. Lang Educ 27(2):161–179

    Article  Google Scholar 

  • Jurgens D, Tsvetkov Y, Jurafsky D (2017) Incorporating dialectal variability for socially equitable language identification. In: Proceedings of ACL 2017. ACL, Vancouver, pp 51–57

    Google Scholar 

  • King B, Abney S (2013) Labeling the languages of words in mixed-language documents using weakly supervised methods. In: Proceedings of NAACL-HLT 2013. ACL, Atlanta, pp 1110–1119

    Google Scholar 

  • LaFrance A (2017) An artificial intelligence developed its own non-human language. The Atlantic Published online 2017-06-15; https://www.theatlantic.com/technology/archive/2017/06/artificial-intelligence-develops-its-own-non-human-language/530436/. Accessed on 10 Aug 2017

  • Laver J (1975) Communicative functions of phatic communion. In: Kendon A, Har-ris RM, Key MR (eds) Organization of behavior in face-to-face interaction. Mouton, The Hague, pp 215–238

    Google Scholar 

  • Linell P (1982) The written language bias in linguistics. University of Linköping, Department of Communication Studies, Linköping

    Google Scholar 

  • Lui M, Lau JH, Baldwin T (2014) Automatic detection and language identification of multilingual documents. Trans Assoc Comput Linguist 2:27–40

    Google Scholar 

  • Malinowski B (1923) The problem of meaning in primitive languages. In: Ogden CK, Richards IA (eds) The meaning of meaning. K. Paul, Trend, Trubner, London, pp 296–336

    Google Scholar 

  • Martin-Jones M, Romaine S (1986) Semilingualism: a half-baked theory of communicative competence. Appl Ling 7(1):26–38

    Article  Google Scholar 

  • Miller V (2008) New media, networking and phatic culture. Convergence 14(4):387–400

    Article  Google Scholar 

  • Monk A (2003) Common ground in electronically mediated communication: Clark’s theory of language use. In: Carroll JM (ed) HCI models, theories, and frameworks: toward a multidisciplinary science. Morgan Kaufmann, San Fran-cisco, pp 265–289

    Chapter  Google Scholar 

  • Pang B, Lee L (2008) Opinion mining and sentiment analysis. Found Trends Inf Retr 2(1–2):1–135

    Article  Google Scholar 

  • Pavalanathan U, Eisenstein J (2015) Audience-modulated variation in online social media. Am Speech 90(2):187–213

    Article  Google Scholar 

  • Pavalanathan U, Fitzpatrick J, Kiesling S, Eisenstein J (2017) A multidimensional lexicon for interpersonal stancetaking. In: Proceedings of ACL 2017. ACL, Vancouver, pp 884–895

    Google Scholar 

  • Qvarfordt P (2004) Eyes on multimodal interaction. PhD thesis, Linköping University, Department of Computer Science

    Google Scholar 

  • Reiter E (2007) Last words: the shrinking horizons of computational linguistics. Comput Linguist 33(2):283

    Article  Google Scholar 

  • Rutten G (2016) Historicizing diaglossia. J Socioling 20(1):6–30

    Article  MathSciNet  Google Scholar 

  • Sacks H (1992) Lectures on conversation. Vols. I & II, Jefferson G (ed). Basil Blackwell, Oxford

    Google Scholar 

  • Senft G (2009) Phatic communion. In: Östman JO, Verschueren J (eds) Culture and language use. John Benjamins, Amsterdam, pp 215–238

    Chapter  Google Scholar 

  • Shneiderman B, Maes P (1997) Direct manipulation vs. interface agents. Interactions 4(6):42–61

    Article  Google Scholar 

  • Sidnell J, Stivers T (eds) (2013) The handbook of conversation analysis. Wiley Blackwell, Chichester

    Google Scholar 

  • Smith, D (2013) IBM’s Watson gets a ‘swear filter’ after learning the urban dictionary. International Business Times. Published online 2013-01-10; http://www.ibtimes.com/ibms-watson-gets-swear-filter-after-learning-urban-dictionary-1007734. Accessed on 10 Aug 2017

  • Solorio T, Liu Y (2008) Learning to predict code-switching points. In: Proceedings of EMNLP 2008. ACL, Honolulu, pp 973–981

    Google Scholar 

  • Spolsky B (2004) Language policy. Cambridge University Press, Cambridge. .

    Google Scholar 

  • Stam JH (1976) Inquiries into the origin of languages. Harper & Row, New York

    Google Scholar 

  • Stenström AB, Jörgensen AM (2008) A matter of politeness? A contrastive study of phatic talk in teenage conversation. Pragmatics 18(4):635–657

    Article  Google Scholar 

  • Tsytsarau M, Palpanas T (2012) Survey on mining subjective data on the web. Data Min Knowl Disc 24:478–514

    Article  Google Scholar 

  • Vetere F, Howard S, Gibbs MR (2005) Phatic technologies: sustaining sociability through ubiquitous computing. In: CHI’05 workshop – first international workshop on social implications of ubiquitous computing at the 23th international conference on human factors in computing systems. ACM, Portland

    Google Scholar 

  • Wang V, Tucker JV, Rihll TE (2011) On phatic technologies for creating and main-taining human relationships. Technol Soc 33:44–51

    Article  Google Scholar 

  • Wikipedia (2017) Tay (bot). https://en.wikipedia.org/wiki/Tay_(bot). Accessed on 10 Aug 2017

  • Wintner S (2009) Last words: what science underlies natural language engineering? Comput Linguist 35(4), doi:https://doi.org/10.1162/coli.2009.35.4.35409, http: //aclanthology.coli.uni-saarland.de/pdf/J/J09/J09-4012.pdf., 641

    Article  Google Scholar 

  • Yamaguchi H, Tanaka-Ishii K (2012) Text segmentation by language using minimum description length. In: Proceedings of ACL 2012. ACL, Jeju Island, pp 969–978

    Google Scholar 

  • Žegarac V, Clark B (1999) Phatic interpretations and phatic communication. J Linguist 35(2):321–346

    Article  Google Scholar 

  • Simons GF, Fennig CD (2017) Ethnologue: languages of the world, 20th edn. SIL International, Dallas. Online version: http://www.ethnologue.com

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Acknowledgements

The work on this chapter has been made possible by financial support from several sources: the Swedish Research Council through its funding of the Towards a Knowledge-based Culturomics Research Program and Swe-Clarin, the Swedish node of the European CLARIN ERIC research infrastructure, as well as the University of Gothenburg through its funding of the Språkbanken research infrastructure.

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Borin, L., Edlund, J. (2018). Language Technology and 3rd Wave HCI: Towards Phatic Communication and Situated Interaction. In: Filimowicz, M., Tzankova, V. (eds) New Directions in Third Wave Human-Computer Interaction: Volume 1 - Technologies. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-319-73356-2_14

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  • DOI: https://doi.org/10.1007/978-3-319-73356-2_14

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