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Whether Information Source Should Be Provided in the Response of Voice Interaction System?

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12186))

Abstract

The information source of voice interaction system response may influence users’ affective experience. This research is to get a better understanding of whether information source should be provided in the response of voice interaction system and what types of information source should be used to offer a better affective experience to users. In this study, we explored the effect of three different information source types (no information source, information source from professional organizations, information source from internet users) of voice interaction system’s responses on users’ affective experience from five different application scenarios (music query, news query, health query, travel query, and restaurant query). Three questions, including affection, acceptance and satisfaction, were used to measure users’ affective experience. All quantitative data were collected based on the E-Prime experimental platform and 21 participants took part in this study. The results showed that, as a whole, participants preferred the responses with information sources from professional organizations, while there was no significant difference between information source from internet users and no information source. In different application scenarios, the types of information sources preferred by users were different. In music query, news query, and health query scenarios, it was recommended to consider information source from professional organizations; In travel query and restaurant query scenarios, it was suggested to consider information source from internet users.

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References

  1. Ji, Z., Li, B., Zhu, J., Chen, W.: Mechanism of social media users’ fatigue behavior from the dual-perspective of emotional experience and perceived control. Inf. Stud.: Theory Appl. 42(4), 129–135 (2019)

    Google Scholar 

  2. Kostov, V., Fukuda, S.: Emotion in user interface, voice interaction system. In: 2000 IEEE International Conference on Systems, Man and Cybernetics, pp. 798–803 (2000)

    Google Scholar 

  3. Norman, D.A.: Emotional Design: Why We Love (or Hate) Everyday Things. Basic Books, New York (2004)

    Book  Google Scholar 

  4. Desmet, P.M.A., Hekkert, P.: Framework of product experience. Int. J. Design 1(1), 13–23 (2007)

    Google Scholar 

  5. Li, X., Xiao, Z., Cao, B.: Effects of usability problems on user emotions in human–computer interaction. In: Long, S., Dhillon, Balbir S. (eds.) MMESE 2017. LNEE, vol. 456, pp. 543–552. Springer, Singapore (2018). https://doi.org/10.1007/978-981-10-6232-2_63

    Chapter  Google Scholar 

  6. Prastawa, H., Ciptomulyono, U., Laksono-Singgih, M., Hartono, M.: The effect of cognitive and affective aspects on usability. Theor. Issues Ergon. Sci. 20(4), 507–531 (2019)

    Article  Google Scholar 

  7. Yang, X., Aurisicchio, M., Baxter, W.: Understanding affective experiences with conversational agents. In: CHI Conference on Human Factors in Computing Systems, pp. 1–12 (2019)

    Google Scholar 

  8. Newberg, A., Waldman, M.R.: Words Can Change Your Brain: 12 Conversation Strategies to Build Trust, Resolve Conflict, and Increase Intima. Hudson Street Press, The Penguin Group, New York (2012)

    Google Scholar 

  9. Scherer, K.R., Fontaine, J.R.J.: The semantic structure of emotion words across languages is consistent with componential appraisal models of emotion. Cogn. Emot. 33(4), 673–682 (2019)

    Article  Google Scholar 

  10. Aladhadh, S., Zhang, X., Sanderson, M.: Location impact on source and linguistic features for information credibility of social media. Online Inf. Rev. 43(1), 89–112 (2019)

    Article  Google Scholar 

  11. Ushigome, R., et al.: Establishing trusted and timely information source using social media services. In: 16th IEEE Annual Consumer Communications and Networking Conference (2019)

    Google Scholar 

  12. Westerman, D., Spence, P.R., Van Der Heide, B.: Social media as information source: recency of updates and credibility of information. J. Comput.-Mediat. Commun. 19(2), 171–183 (2014)

    Article  Google Scholar 

  13. Hussain, S., Ahmed, W., Jafar, R.M.S., Rabnawaz, A., Jianzhou, Y.: eWOM source credibility, perceived risk and food product customer’s information adoption. Comput. Hum. Behav. 66, 96–102 (2017)

    Article  Google Scholar 

  14. Adiga, N., Prasanna, S.R.M.: Acoustic features modelling for statistical parametric speech synthesis: a review. IETE Tech. Rev. 36(2), 130–149 (2019)

    Article  Google Scholar 

  15. Lee, E.J., Nass, C., Brave, S.: Can computer-generated speech have gender? An experimental test of gender stereotype. In: CHI 2000 Extended Abstracts on Human Factors in Computing Systems, pp. 289–290 (2000)

    Google Scholar 

  16. Richard, L.: Street: evaluation of noncontent speech accommodation. Lang. Commun. 2(1), 13–31 (1982)

    Article  Google Scholar 

  17. Kim, W., Ko, T., Rhiu, I., Yun, M.H.: Mining affective experience for a kansei design study on a recliner. Appl. Ergon. 74, 145–153 (2019)

    Article  Google Scholar 

  18. Chen, S., Epps, J.: Automatic classification of eye activity for cognitive load measurement with emotion interference. Comput. Methods Programs Biomed. 110(2), 111–124 (2013)

    Article  Google Scholar 

  19. Baumgartner, J., Sonderegger, A., Sauer, J.: No need to read: developing a pictorial single-item scale for measuring perceived usability. Int. J. Hum. Comput. Stud. 122, 78–89 (2019)

    Article  Google Scholar 

  20. Hart, J., Sutcliffe, A.: Is it all about the apps or the device? User experience and technology acceptance among iPad users. Int. J. Hum. Comput. Stud. 130, 93–112 (2019)

    Article  Google Scholar 

  21. Mao, Y., Fan, Z., Zhao, J., Zhang, Q., He, W.: An emotional contagion based simulation for emergency evacuation peer behavior decision. Simul. Model. Pract. Theory 96, 101936 (2019)

    Article  Google Scholar 

  22. MacWhinney, B., St. James, J., Schunn, C., Li, P.: Schneider W: STEP—a system for teaching experimental psychology using E-Prime. Behav. Res. Methods Instr. Comput. 33, 287 (2001)

    Article  Google Scholar 

  23. Kang, J.-W., Namkung, Y.: The information quality and source credibility matter in customers’ evaluation toward food O2O commerce. Int. J. Hospit. Manage. 78, 189–198 (2019)

    Article  Google Scholar 

  24. Nayak, S., et al.: Integrating user behavior with engineering design of point-of-care diagnostic devices: theoretical framework and empirical findings. Lab Chip 19(13), 2241–2255 (2019)

    Article  Google Scholar 

  25. Shin, D.-H., Lee, S., Hwang, Y.: How do credibility and utility play in the user experience of health informatics services? Comput. Hum. Behav. 67, 292–302 (2017)

    Article  Google Scholar 

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Correspondence to Ronggang Zhou .

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Zhang, Y., Zhou, R., Sun, Y., Zou, L., Wang, H., Zhao, M. (2020). Whether Information Source Should Be Provided in the Response of Voice Interaction System?. In: Harris, D., Li, WC. (eds) Engineering Psychology and Cognitive Ergonomics. Mental Workload, Human Physiology, and Human Energy. HCII 2020. Lecture Notes in Computer Science(), vol 12186. Springer, Cham. https://doi.org/10.1007/978-3-030-49044-7_21

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  • DOI: https://doi.org/10.1007/978-3-030-49044-7_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-49043-0

  • Online ISBN: 978-3-030-49044-7

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