Skip to main content

Servants, Friends, or Parents? the Impact of Different Social Roles in the Social Web of Things on User Experience

  • Conference paper
  • First Online:
HCI International 2022 - Late Breaking Papers. Interaction in New Media, Learning and Games (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13517))

Included in the following conference series:

  • 1060 Accesses

Abstract

The Social Web of Things (SWoT) is a paradigm comprising the social web and the Internet of Things (IoT), in which users can interact with IoT in the same way they use social network services. This study aims to investigate users’ perceptions and preferences of the social roles of the SWoT agents in smart home scenarios. We designed three social roles of SWoT agents by different social status levels (low: servant, neutral: friend, high: parent). A three-day within-subject experiment was conducted on 15 participants in a Wizard-of-Oz manner, followed by questionnaires and in-depth interviews. Through descriptive analysis of questionnaire data and qualitative analysis of the interviews, we found that the friend role is the most favored because of emotional connection and effectiveness. Users are not comfortable with conversations that involve their private affairs. Furthermore, most users would want to buy SWoT appliances if their price is within 120% of traditional appliances. These findings can guide the future design of SWoT agents to provide a better user experience.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Wu, J., Chen, J., Dou, W.: The Internet of Things and interaction style: the effect of smart interaction on brand attachment. J. Mark. Manag. 33(1–2), 61–75 (2017)

    Article  Google Scholar 

  2. Dion, P.A., Notarantonio, E.M.: Salesperson communication style: the neglected dimension in sales performance. J. Bus. Commun. 29(1), 63–77 (1992)

    Article  Google Scholar 

  3. Kim, Y., Kwak, S.S., Kim, M.S.: Am I acceptable to you? effect of a robot’s verbal language forms on people’s social distance from robots. Comput. Hum. Behav. 29(3), 1091–1101 (2013)

    Article  Google Scholar 

  4. Roy, R., Naidoo, V.: Enhancing chatbot effectiveness: the role of anthropomorphic conversational styles and time orientation. J. Bus. Res. 126, 23–34 (2021)

    Article  Google Scholar 

  5. Thomas, P., Czerwinski, M., McDuff, D., Craswell, N., Mark, G.: Style and alignment in information-seeking conversation. In: Proceedings of the 2018 Conference on Human Information Interaction & Retrieval, pp. 42–51. Association for Computing Machinery, New York (2018)

    Google Scholar 

  6. Li, J., Zhou, M. X., Yang, H., Mark, G.: Confiding in and listening to virtual agents: the effect of personality. In: Proceedings of the 22nd International Conference on Intelligent User Interfaces, pp. 275–286. Association for Computing Machinery, New York (2017)

    Google Scholar 

  7. Goetz, J., Kiesler, S., Powers, A.: Matching robot appearance and behavior to tasks to improve human-robot cooperation. In: The 12nd IEEE International Workshop on Robot and Human Interactive Communication, pp. 55–60. IEEE, New York (2003)

    Google Scholar 

  8. Metze, F., Black, A., Polzehl, T.: A review of personality in voice-based man machine interaction. In: Jacko, J.A. (ed.) HCI 2011. LNCS, vol. 6762, pp. 358–367. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-21605-3_40

    Chapter  Google Scholar 

  9. Nass, C.I., Brave, S.: Wired for Speech: How Voice Activates and Advances the Human-Computer Relationship. MIT Press, Cambridge (2005)

    Google Scholar 

  10. Cassell, J.: Embodied conversational agents: representation and intelligence in user interfaces. AI Mag. 22(4), 67 (2001)

    Google Scholar 

  11. Bickmore, T., Cassell, J.: Social dialongue with embodied conversational agents. In: Advances in Natural Multimodal Dialogue Systems, pp. 23–54. Springer, Dordrecht (2005). https://doi.org/10.1007/1-4020-3933-6_2

  12. Catrambone, R., Stasko, J., Xiao, J.: Anthropomorphic agents as a user interface paradigm: experimental findings and a framework for research. In: Proceedings of the Twenty-Fourth Annual Conference of the Cognitive Science Society, pp. 166–171. Routledge, New York (2002)

    Google Scholar 

  13. Mennicken, S., Zihler, O., Juldaschewa, F., Molnar, V., Aggeler, D., Huang, E.M.: “It’s like living with a friendly stranger” perceptions of personality traits in a smart home. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 120–131. Association for Computing Machinery, New York (2016)

    Google Scholar 

  14. Gao, Y., Pan, Z., Wang, H., Chen, G.: Alexa, my love: analyzing reviews of ama-zon echo. In: 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Ad-vanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (Smart-World/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), pp. 372–380. IEEE, New York (2018)

    Google Scholar 

  15. Rhee, C.E., Choi, J.: Effects of personalization and social role in voice shopping: an experimental study on product recommendation by a conversational voice agent. Comput. Hum. Behav. 109, 106359 (2020)

    Article  Google Scholar 

  16. Benbasat, I.: HCI research: future challenges and directions. AIS Trans. Hum. Comput. Interact. 2(2), 16–21 (2010)

    Article  Google Scholar 

  17. Biddle, B.J.: Recent developments in role theory. Ann. Rev. Sociol. 12(1), 67–92 (1986)

    Article  Google Scholar 

  18. Sinha, R.R., Swearingen, K.: Comparing recommendations made by online sys-tems and friends. In: Proceedings of the DELOS-NSF Workshop on Personalization and Recommender Systems in Digital Libraries (2001)

    Google Scholar 

  19. Reeves, B., Nass, C.: The Media Equation: How People Treat Computers, Television, and New Media like Real People and Places. Cambridge University Press, New York (1996)

    Google Scholar 

  20. Sun, Y., Li, S., Chen, X.: Emotional voice interaction design: human computer interaction research map and design case of baidu AI user experience department. Zhuangshi (11), 22–27 (2019)

    Google Scholar 

  21. Prendinger, H., Ishizuka, M.: Social role awareness in animated agents. In: Proceedings of the Fifth International Conference on Autonomous Agents, pp. 270–277. Association for Computing Machinery, New York (2001)

    Google Scholar 

  22. Tan, H., et al.: Relationship between social robot proactive behavior and the human perception of anthropomorphic attributes. Adv. Robot. 34(20), 1324–1336 (2020)

    Article  Google Scholar 

  23. Chocarro, R., Cortiñas, M., Marcos-Matás, G.: Teachers’ attitudes towards chat-bots in education: a technology acceptance model approach considering the effect of social language, bot proactiveness, and users’ characteristics. Educ. Stud., 1–19 (2021)

    Google Scholar 

  24. Hu, T., et al.: Touch your heart: a tone-aware chatbot for customer care on social media. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, pp. 1–12. Association for Computing Machinery, New York (2018)

    Google Scholar 

  25. Iksop, L., Ramsey, S.R.: The Korean language. J. Asian Stud. 60(4), 1212–1214 (2001)

    Google Scholar 

  26. Brown, R., Ford, M.: Address in American English. Psychol. Sci. Public Interest 62(2), 375–385 (1961)

    Google Scholar 

  27. Sung, Ja-Young., Guo, L., Grinter, R., Christensen, H.: “My Roomba is Rambo”: intimate home appliances. In: Krumm, J., Abowd, G.D., Seneviratne, A., Strang, T. (eds.) UbiComp 2007. LNCS, vol. 4717, pp. 145–162. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-74853-3_9

    Chapter  Google Scholar 

  28. Stoehr, T.: Tone and voice. Coll. Engl. 30(2), 150–161 (1968)

    Article  Google Scholar 

  29. Bernsen, N.O., Dybkjær, H., Dybkjær, L.: Wizard of oz prototyping: how and when. In: Proceedings of CCI Working Papers Cognitiom Science/HCI, Roskilde, Denmark (1994)

    Google Scholar 

  30. Lund, A.M.: Measuring usability with the USE questionnaire. Usabil. User Exp. Newsl. STC Usabil. SIG 8(2), 3–6 (2001)

    Google Scholar 

  31. Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of Things (IoT): a vision, architectural elements, and future directions. Futur. Gener. Comput. Syst. 29(7), 1645–1660 (2013)

    Article  Google Scholar 

  32. Formo, J.: The internet of things in the eyes of the users. Ericsson Bus. Rev., 33–35 (2010)

    Google Scholar 

  33. Formo, J., Laaksolahti, J., Gårdman, M.: Internet of things marries social media. In: Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services, pp. 753–755. Association for Computing Machinery, New York (2011)

    Google Scholar 

  34. Rau, P.L.P., Huang, E., Mao, M., Gao, Q., Feng, C., Zhang, Y.: Exploring interactive style and user experience design for social web of things of Chinese users: a case study in Beijing. Int. J. Hum Comput Stud. 80, 24–35 (2015)

    Article  Google Scholar 

  35. Moon, Y.: Similarity effects in human-computer interaction: effects of user personality, computer personality, and user control on attraction and attributions of responsibility, Unpublished doctorial dissertation, Stanford University, Stanford (1996)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pei-Luen Patrick Rau .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yin, J., Dai, Q., Wang, X., Xie, S., Kang, X., Rau, PL.P. (2022). Servants, Friends, or Parents? the Impact of Different Social Roles in the Social Web of Things on User Experience. In: Meiselwitz, G., et al. HCI International 2022 - Late Breaking Papers. Interaction in New Media, Learning and Games. HCII 2022. Lecture Notes in Computer Science, vol 13517. Springer, Cham. https://doi.org/10.1007/978-3-031-22131-6_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-22131-6_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-22130-9

  • Online ISBN: 978-3-031-22131-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics