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Research

Conversational Voice Assistants and a Case Study of Long-Term Users: A Human Information Behaviours Perspective

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References

  • Agarwal, N. K. (2015). Towards a definition of serendipity in information behaviour. Information Research: An International Electronic Journal, 20(3), Retrieved from http://InformationR.net/ir/20-3/pape5674.html (Archived by WebCite® at http://www.webcitation.org/6bIKHqubY)
  • Alaieri, F., & Vellino, A. (2016). Ethical decision making in robots: Autonomy, trust and responsibility. In A. Agah, J. J. Cabibihan, A. M. Howard, M. A. Salichs, & H. He (Eds.), Social robotics (Vol. 9979, pp. 159–168). Springer. Lecture Notes in Computer Science Series, LNCS.
  • Araujo, T. (2018). Living up to the chatbot hype: The influence of anthropomorphic design cues and communicative agency framing on conversational agent and company perceptions. Computers in Human Behavior, 85, 183–189. https://doi.org/10.1016/j.chb.2018.03.051
  • Azzopardi, L., Dubiel, M., Halvey, M., & Dalton, J. (2018). Conceptualizing agent-human interactions during the conversational search process. In SIGIR 2nd International Workshop on Conversational Approaches to Information Retrieval (CAIR’18).
  • Bassett, G. (2018). The rise of chatbots. Journal of The Australian & New Zealand Institute of Insurance & Finance, 41(1), 38–40.
  • Begany, G., Sa, N., & Yuan, X.-J. (2015). Factors affecting user perception of a spoken language vs. textual search interface: A content analysis. Journal of Interacting with Computers, 28(2), 170–180. https://doi.org/10.1093/iwc/iwv029
  • Berget, G., & MacFarlane, A. (2020). What is known about the impact of impairments on information seeking and searching? Journal of the Association for Information Science and Technology, 71(5), 596–611. https://doi.org/10.1002/asi.24256
  • Brandtzaeg, P. B., & Følstad, A. (2018). Chatbots: Changing user needs and motivations. Interactions, 25(5), 38–43. https://doi.org/10.1145/3236669
  • Braun, D., & Matthes, F. (2019). Towards a framework for classifying chatbots. Proceedings of the 21st International Conference on Enterprise Information Systems, 1, 484–489.
  • Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4), 589–597. https://doi.org/10.1080/2159676X.2019.1628806
  • Bronstein, J., & Nebenzahl, O. (2020). Developing scales for identifying and classifying library and information science skills and competencies: An Israeli perspective. Journal of Librarianship and Information Science, 52(1), 161–168. https://doi.org/10.1177/0961000618792390
  • Brophy, J., & Bawden, D. (2005). Is Google enough? Comparison of an internet search engine with academic library resources. Aslib Proceedings, 57(6), 498–512. https://doi.org/10.1108/00012530510634235
  • Cahn, J. (2017). CHATBOT: Architecture, design, & development [Senior thesis]. University of Pennsylvania School of Engineering and Applied Science Department of Computer and Information Science.
  • Case, D. O. (2012). Looking for information : A survey of research on information seeking, needs and behavior (3rd ed.). Emerald Publishers.
  • Chen, G. M. (2013). Don't call me that: A techno-feminist critique of the term mommy blogger. Mass Communication and Society, 16(4), 510–532. https://doi.org/10.1080/15205436.2012.737888
  • Chong, S. (2017). The AI revolution. Journal of The Australian & New Zealand Institute of Insurance & Finance, 40(4), 48–50.
  • Chung, H., Iorga, M., Voas, J., & Lee, S. (2017). Alexa, can I trust you? Computer, 50(9), 100–104. https://doi.org/10.1109/MC.2017.3571053
  • Crestani, F., & Du, H. (2006). Written versus spoken queries: A qualitative and quantitative comparative analysis. Journal of the American Society for Information Science and Technology, 57(7), 881–890. https://doi.org/10.1002/asi.20350
  • Dale, R. (2016). The return of the chatbots. Natural Language Engineering, 22(5), 811–817. https://doi.org/10.1017/S1351324916000243
  • Dale, R. (2018). Industry watch law and word order: NLP in legal tech. Natural Language Engineering, 25(1), 211–217. https://doi.org/10.1017/S1351324918000475
  • Damiano, L., & Dumouchel, P. (2018). Anthropomorphism in human-robot co-evolution. Frontiers in Psychology, 9(468), 1–9. https://doi.org/10.3389/fpsyg.2018.00468
  • Danielescu, A. (2020, July). Eschewing gender stereotypes in voice assistants to promote inclusion. In Proceedings of the 2nd Conference on Conversational User Interfaces (CUI '20). Association for Computing Machinery, New York, NY, USA, Article 46, 1–3. https://doi.org/10.1145/3405755.3406151
  • Dourish, P. (1999). Embodied interaction: Exploring the foundations of a new approach to HCI [Unpublished paper]. http://www.ics.uci.edu/~jpd/publications/misc/embodied.pdf.
  • Erdelez, S., & Makri, S. (2020). Information encountering re-encountered: A conceptual re-examination of serendipity in the context of information acquisition. Journal of Documentation, 76(3), 731–751. https://doi.org/10.1108/JD-08-2019-0151
  • Fidel, R. (2012). Human information interaction: An ecological approach to information behavior. MIT Press.
  • Fourie, I., & Julien, H. (2014). Ending the dance: a research agenda for affect and emotion in studies of information behaviour. In Proceedings of ISIC, the Information Behaviour Conference, Leeds, 2-5 September, 2014: Part 1, (paper isic09). Retrieved from http://lnformationR.net/ir/l9-4/isic/isic09.html
  • Gergen, K. J. (1999). Agency: Social construction and relational action. Theory & Psychology, 9(1), 113–115. https://doi.org/10.1177/0959354399091007
  • Grammar.yourdictionary.com. (n.d.). Personification vs. anthropomorphism. https://grammar.yourdictionary.com/grammar/style-and-usage/personification-vs-anthropomorphism.html.
  • Hackbarth, G., Grover, V., & Mun, Y. Y. (2003). Computer playfulness and anxiety: Positive and negative mediators of the system experience effect on perceived ease of use. Information & Management, 40(3), 221–232. https://doi.org/10.1016/S0378-7206(02)00006-X
  • Halevy, N., Chou, Y., & D, E., & Galinsky, A. (2011). A functional model of hierarchy: Why, how, and when vertical differentiation enhances group performance. Organizational Psychology Review, 1(1), 32–52. https://doi.org/10.1177/2041386610380991
  • Heinström, J. (2005). Fast surfing, broad scanning and deep diving: The influence of personality and study approach on students’ information-seeking behavior. Journal of documentation, 61(2), 228–247. https://doi.org/10.1108/00220410510585205
  • Hilton, T., Hughes, T., Little, E., & Marandi, E. (2013). Adopting self-service technology to do more with less. Journal of Services Marketing, 27(1), 3–12. https://doi.org/10.1108/08876041311296338
  • Jandrić, P. (2019). The three ages of the digital. In D. Ford (Ed.), Keywords in radical philosophy and education (pp. 161–176). Brill.
  • Jang, S., Kim, J. J., Kim, S. J., Hong, J., Kim, S., & Kim, E. (2021). Mobile app-based chatbot to deliver cognitive behavioral therapy and psychoeducation for adults with attention deficit: A development and feasibility/usability study. International Journal of Medical Informatics, 150(104440). https://doi.org/10.1016/j.ijmedinf.2021.104440
  • Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business Horizons, 61(4), 577–586. https://doi.org/10.1016/j.bushor.2018.03.007
  • Kim, M., Oh, J., & Kim, B. (2021). Experience of digital music services and digital self-efficacy among older adults: Enjoyment and anxiety as mediators. Technology in Society, 67, 101773. https://doi.org/10.1016/j.techsoc.2021.101773
  • Knott, D., & Szabo, K. (2013). Bigfoot hunting: Academic library outreach to elementary school students. College & Research Libraries News, 74(7), 346–348. https://doi.org/10.5860/crln.74.7.8974
  • Kocaballi, A. B., Berkovsky, S., Quiroz, J. C., Laranjo, L., Tong, H. L., Rezazadegan, D., Briatore, A., & Coiera, E. (2019). The personalization of conversational agents in health care: Systematic review. Journal of Medical Internet Research, 21(11), e15360. https://doi.org/10.2196/15360
  • Laricchia, F. (2022). Smart speakers - Statistics & facts. Statista. https://www.statista.com/topics/4748/smart-speakers/.
  • Latzer, M., Hollnbuchner, K., Just, N., & Saurwein, F. (2016). The economics of algorithmic selection on the internet. In J. M. Bauer and M. Latzer (Eds.), Handbook on the economics of the internet (pp. 395–425). Edward Elgar Publishing.
  • Lopatovska, I., Rink, K., Knight, I., Raines, K., Cosenza, K., Williams, H., Sorsche, P., Hirsch, D., Li, Q., & Martinez, A. (2019). Talk to me: Exploring user interactions with the Amazon Alexa. Journal of Librarianship and Information Science, 51(4), 984–997. https://doi.org/10.1177/0961000618759414
  • Luger, E., & Sellen, A. (2016, May). Like having a really bad PA: The gulf between user expectation and experience of conversational agents. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (pp. 5286–5297). ACM. https://doi.org/10.1145/2858036.2858288
  • Lui, A., & Lamb, G. W. (2018). Artificial intelligence and augmented intelligence collaboration: Regaining trust and confidence in the financial sector. Information & Communications Technology Law, 27(3), 267–283. https://doi.org/10.1080/13600834.2018.1488659
  • Lundh, A. H., & Johnson, G. M. (2015). The use of digital talking books by people with print disabilities: A literature review. Library Hi Tech, 33(1), 54–64. https://doi.org/10.1108/LHT-07-2014-0074
  • Luo, B., Lau, R. Y., Li, C., & Si, Y. W. (2022). A critical review of state-of-the-art chatbot designs and applications. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 12(1), e1434. https://doi.org/10.1002/widm.1434
  • MacLeod, A., Cameron, P., Ajjawi, R., Kits, O., & Tummons, J. (2019). Actor-network theory and ethnography: Sociomaterial approaches to researching medical education. Perspectives on Medical Education, 8(3), 177–186. https://doi.org/10.1007/s40037-019-0513-6
  • Marino, M. C. (2006). I, chatbot: The gender and race performativity of conversational agents. [Doctoral dissertation, University of California]. Riverside ProQuest Dissertations Publishing. Retrieved from https://www.proquest.com/openview/3c91805eb882d2a56d58aaa6f809fa50
  • Martin, B., & Hanington, B. (2018). Design ethnography. In 100 ways to research complex problems, develop innovative ideas, and design effective solutions. Rockport Publishers.
  • Mckie, I., & Narayan, B. (2019). Enhancing the academic library experience with chatbots: An exploration of research and implications for practice. Journal of the Australian Library and Information Association, 68(3), 268–277. https://doi.org/10.1080/24750158.2019.161169
  • McLean, G., & Osei-Frimpong, K. (2019). Hey Alexa … examine the variables influencing the use of artificial intelligent in-home voice assistants. Computers in Human Behavior, 99(October), 28–37. https://doi.org/10.1016/j.chb.2019.05.009
  • Monteiro, E., Almklov, P., & Hepsø, V. (2012). Living in a sociomaterial world. In A. Bhattacherjee, B. Fitzgerald (Eds.), Shaping the future of ICT research. Methods and approaches (pp. 91–107). Springer.
  • Narayan, B., Case, D. O., & Edwards, S. L. (2011). The role of information avoidance in everyday-life information behaviors. Proceedings of the American Society for Information Science and Technology, 48(1), 1–9. https://doi.org/10.1002/meet.2011.14504801085
  • Narayan, B., & Mckie, I. (2018). Put uncle Google and auntie Alexa to work in your library. Incite, 39(11/12), 30–31. Retrieved from https://search.informit.org/doi/10 .3316/informit.986161394381294.
  • Nasirian, F., Ahmadian, M., & Lee, O. K. D. (2017). AI-based voice assistant systems: evaluating from the interaction and trust perspectives. In AMCIS 2017 Proceedings. 27. Retrieved from https://aisel.aisnet.org/amcis2017/AdoptionIT/Presentations/27
  • Neff, G., & Nagy, P. (2016). Automation, algorithms, and politics| talking to bots: Symbiotic agency and the case of Tay. International Journal of Communication, 10, 4915–4931. Retrieved from https://ijoc.org/index.php/ijoc/article/view/6277
  • Poushneh, A. (2021). Humanizing voice assistant: The impact of voice assistant personality on consumers’ attitudes and behaviors. Journal of Retailing and Consumer Services, 58(102283). https://doi.org/10.1016/j.jretconser.2020.102283
  • Radlinski, F., & Craswell, N. (2017). A theoretical framework for conversational search. In Proceedings of Conference on Information Interaction and Retrieval (CHIIR) (pp. 117–126).
  • Rubin, R. E. (2010). Foundations of library and information science (3rd ed.). Neal-Schuman Publishers.
  • Rutherford, J. (2007). After identity. Continuum, 21(1), 5–18. https://doi.org/10.1080/10304310601103893
  • Sahib, N. G., Tombros, A., & Stockman, T. (2012). A comparative analysis of the information-seeking behavior of visually impaired and sighted searchers. Journal of the American Society for Information Science and Technology, 63(2), 377–391. https://doi.org/10.1002/asi.21696
  • Sahib, N. G., Tombros, A., & Stockman, T. (2014). Investigating the behavior of visually impaired users for multi-session search tasks. Journal of the Association for Information Science and Technology, 65(1), 69–83. https://doi.org/10.1002/asi.22955
  • Savolainen, R. (2014). Emotions as motivators for information seeking: A conceptual analysis. Library & Information Science Research, 36(1), 59–65. https://doi.org/10.1016/j.lisr.2013.10.004
  • Shelmerdine, A. J. (2018). Library anxiety: Stories, theories and possible solutions. Journal of the Australian Library and Information Association, 67(4), 343–352. https://doi.org/10.1080/24750158.2018.1534281
  • Sievert, M., Albritton, R. L., Roper, P., & Clayton, N. (1988). Investigating computer anxiety in an academic library. Information Technology and Libraries, 7(3), 243.
  • Silipigni, C. L., & Randall, K. M. (2013). Why the internet is more attractive than the library. The Serials Librarian, 64(1-4), 41–56. https://doi.org/10.1080/0361526X.2013.761053
  • Snead, A. (2020, July 20). What search engine does Alexa use? And can I use Google to … . https://smarterhomeguide.com/alexa-search-engine/
  • Spink, A., & Cole, C. (2006). New directions in human information behavior. Springer.
  • Sumser, J. (2016). The present of HR. Workforce Solutions Review, 7(5), 28–29.
  • Tondu, B. (2012). Anthropomorphism and service humanoid robots: An ambiguous relationship. The Industrial Robot, 39(6), 609–618. https://doi.org/10.1108/01439911211268840
  • Ugale, A. (2020). Impact of conversational agents on customer service employees [Doctoral dissertation]. Auckland University of Technology. https://orapp.aut.ac.nz/bitstream/handle/10292/13076/UgaleA.pdf.
  • Van Eeuwen, M. (2017). Mobile conversational commerce: Messenger chatbots as the next interface between businesses and consumers [Master’s thesis]. University of Twente, Enschede, Netherlands. http://essay.utwente.nl/71706/1/van Eeuwen %20Eeuwen_MA_BMS.pdf.
  • Vang, K. J. (2013). Ethics of Google's knowledge graph: Some considerations. Journal of Information, Communication and Ethics in Society, 11(4), 245–260. https://doi.org/10.1108/JICES-08-2013-0028
  • Woods, H. S. (2018). Asking more of Siri and Alexa: Feminine persona in service of surveillance capitalism. Critical Studies in Media Communication, 35(4), 334–349. https://doi.org/10.1080/15295036.2018.1488082
  • Xiaojun, Y., & Sa, N. (2017). User query behaviour in different task types in a spoken language vs. textual interface: A wizard of Oz experiment. Information Research, 22(1), Retrieved from http://InformationR.net/ir/22-1/isic/isic1615.html (Archived by WebCite® at http://www.webcitation.org/6oGdJGAHG).
  • Xu, K., & Lombard, M. (2017). Persuasive computing: Feeling peer pressure from multiple computer agents. Computers in Human Behavior, 74, 152–162. https://doi.org/10.1016/j.chb.2017.04.043
  • Zamani, J., Trippas, J. R., Dalton, J., & Radlinski, F. (2022). Conversational information seeking: theory and application. Preprint. https://arxiv.org/pdf/2201.08808.pdf. https://doi.org/10.48550/arXiv.2201.08808

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