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Social boundaries of appropriate speech in HCI: a politeness perspective

Published: 04 July 2018 Publication History

Abstract

This position paper presents the view that there may be social boundaries in appropriate speech in HCI. While previous research has examined that humanlike voices may not always be appropriate for computers to use, the same may hold true for linguistic concepts that have noticeable interpersonal and social functions. This paper examines the social functions of linguistic politeness to approach the issue of appropriate language use in spoken HCI, and the relationship between voices and language in this interaction space. Several studies exploring politeness in spoken HCI are discussed, with the view that it and other social talk may have different limitations in HCI, and that politeness itself may have to be subsequently reconsidered.

References

[1]
Branigan, H. P., Pickering, M. J., Pearson, J., & McLean, J. F. (2010). Linguistic alignment between people and computers. Journal of Pragmatics, 42(9), 2355--2368.
[2]
Branigan, H. P., Pickering, M. J., Pearson, J., McLean, J. F., & Brown, A. (2011). The role of beliefs in lexical alignment: Evidence from dialogs with humans and computers. Cognition, 121(1), 41--57.
[3]
Brown, P., & Levinson, S. C. (1987). Politeness: Some Universals in Language Usage. Cambridge University Press.
[4]
Cameron, D. (2001). Working with Spoken Discourse. SAGE.
[5]
Channell, J. (1994). Vague Language. Oxford University Press.
[6]
Clark, L., Ofemile, A., Adolphs, S., & Rodden, T. (2016). A Multimodal Approach to Assessing User Experiences with Agent Helpers. ACM Trans. Interact. Intell. Syst., 6(4), 29:1--29:31.
[7]
Clark, Leigh M. H. (2016). Exploring vague language use and voice variation in human-agent interaction (unpublished Ph.D.). University of Nottingham. Retrieved from http://eprints.nottingham.ac.uk/37863.
[8]
Clark, Leigh Michael Harry, Bachour, K., Ofemile, A., Adolphs, S., & Rodden, T. (2014). Potential of imprecision: exploring vague language in agent instructors (pp. 339--344). ACM Press.
[9]
Coulthard, M. (2013). Advances in Spoken Discourse Analysis. Routledge.
[10]
Cowan, B. R., Pantidi, N., Coyle, D., Morrissey, K., Clarke, P., Al-Shehri, S., ... Bandeira, N. (2017). 'What can i help you with?': infrequent users' experiences of intelligent personal assistants (pp. 1--12). ACM Press.
[11]
Cutting, J. (Ed.). (2007). Vague language explored. Basingstoke {England}; New York: Palgrave Macmillian.
[12]
Goffman, E. (2005). Interaction Ritual: Essays in Face to Face Behavior. Routledge.
[13]
Lakoff, R. T. (2004). Language and Woman's Place: Text and Commentaries. Oxford University Press.
[14]
Large, D. R., Clark, L., Quandt, A., Burnett, G., & Skrypchuk, L. (2017). Steering the conversation: A linguistic exploration of natural language interactions with a digital assistant during simulated driving. Applied Ergonomics, 63, 53--61.
[15]
Locher, M. A., & Watts, R. J. (2005). Politeness Theory and Relational Work. Journal of Politeness Research. Language, Behaviour, Culture, 1(1).
[16]
Mills, S. (2005). Gender and impoliteness. Journal of Politeness Research, 1(2), 263--280.
[17]
Moore, R. K. (2017a). Appropriate Voices for Artefacts: Some Key Insights. 1<sup>st</sup> International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots.
[18]
Moore, R. K. (2017b). Is Spoken Language All-or-Nothing? Implications for Future Speech-Based Human-Machine Interaction. In Dialogues with Social Robots (pp. 281--291). Springer, Singapore.
[19]
Nass, C., & Lee, K. M. (2000). Does computer-generated speech manifest personality? an experimental test of similarity-attraction (pp. 329--336). ACM Press.
[20]
Nass, C., Steuer, J., & Tauber, E. R. (1994). Computers are social actors (p. 204). ACM Press.
[21]
Strait, M., Canning, C., & Scheutz, M. (2014). Let me tell you! investigating the effects of robot communication strategies in advice-giving situations based on robot appearance, interaction modality and distance (pp. 479--486). ACM Press.
[22]
Torrey, C., Fussell, S. R., & Kiesler, S. (2013). How a robot should give advice (pp. 275--282). IEEE.
[23]
Wang, N., Johnson, W. L., Mayer, R. E., Rizzo, P., Shaw, E., & Collins, H. (2008). The politeness effect: Pedagogical agents and learning outcomes. International Journal of Human-Computer Studies, 66(2), 98--112.

Cited By

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  • (2024)Using Robot Social Agency Theory to Understand Robots' Linguistic AnthropomorphismCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3640747(447-452)Online publication date: 11-Mar-2024
  • (2024)Modeling Politeness in Human-Robot InteractionCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3638369(121-123)Online publication date: 11-Mar-2024
  • (2024)What a Thing to Say! Which Linguistic Politeness Strategies Should Robots Use in Noncompliance Interactions?Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610977.3634943(501-510)Online publication date: 11-Mar-2024
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    cover image Guide Proceedings
    HCI '18: Proceedings of the 32nd International BCS Human Computer Interaction Conference
    July 2018
    1509 pages

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    BCS Learning & Development Ltd.

    Swindon, United Kingdom

    Publication History

    Published: 04 July 2018

    Author Tags

    1. appropriateness
    2. identity
    3. politeness
    4. speech
    5. voice user interface

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    View all
    • (2024)Using Robot Social Agency Theory to Understand Robots' Linguistic AnthropomorphismCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3640747(447-452)Online publication date: 11-Mar-2024
    • (2024)Modeling Politeness in Human-Robot InteractionCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3638369(121-123)Online publication date: 11-Mar-2024
    • (2024)What a Thing to Say! Which Linguistic Politeness Strategies Should Robots Use in Noncompliance Interactions?Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610977.3634943(501-510)Online publication date: 11-Mar-2024
    • (2023)Toward a Multilingual Conversational Agent: Challenges and Expectations of Code-mixing Multilingual UsersProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581445(1-17)Online publication date: 19-Apr-2023
    • (2022)Perception of Power and Distance in Human-Human and Human-Robot Role-Based RelationsProceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction10.5555/3523760.3523900(895-899)Online publication date: 7-Mar-2022
    • (2021)How to Design the Perfect Prompt: A Linguistic Approach to Prompt Design in Automotive Voice Assistants – An Exploratory Study13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3409118.3475144(237-246)Online publication date: 9-Sep-2021
    • (2020)"Hi! I am the Crowd Tasker" Crowdsourcing through Digital Voice AssistantsProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376320(1-14)Online publication date: 21-Apr-2020
    • (2020)Voice Interaction for Training: Opportunities, Challenges, and Recommendations from HCI PerspectiveLearning and Collaboration Technologies. Human and Technology Ecosystems10.1007/978-3-030-50506-6_6(59-75)Online publication date: 19-Jul-2020
    • (2019)Mapping Perceptions of Humanness in Intelligent Personal Assistant InteractionProceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/3338286.3340116(1-12)Online publication date: 1-Oct-2019
    • (2019)What Makes a Good Conversation?Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300705(1-12)Online publication date: 2-May-2019

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