How Human Communication Influences Virtual Personal Assistants

Bylieva, Daria; Lobatyuk, Victoria; Kuznetsov, Dmitry; Anosova, Natalia

doi:10.1007/978-3-030-65857-1_11

Cited by 7 publications

(3 citation statements)

References 26 publications

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“…Thus, another research strand might deal with the study of SB instruction in language classrooms for diverse language purposes. Additionally, the current world situation and technological progress promote the necessity to incorporate advanced technologies into the university classroom [49]. Scenario-based instruction has been extensively used in educational digital environment [50].…”

Section: Discussionmentioning

confidence: 99%

Scenario-Based Instruction: The Case of Foreign Language Training at Multidisciplinary University

et al. 2021

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Strong communication skills, in varied professional settings, have become an absolute necessity for young professionals. Therefore, university educators are challenged to provide novice specialists with the effective foreign language training that could bring the real professional world into the classroom. This study suggests an innovative method for teaching communication skills to students, through the use of real-life scenarios, drawn from the professional context. The core objective of the research was to define whether the scenario-based instruction could effectively enhance the development of professional communication skills of students in the context of university foreign language training. The data were collected through active observation and critical incidents technique, analyzed and summarized by means of descriptive statistics. The results of the study indicate the efficacy of scenario-based communication training in higher education. However, scenario-based instruction requires careful assessment of learners’ needs and expectations, thoughtful selection and design of teaching materials, and the development of an active learning environment.

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Section: Discussionmentioning

confidence: 99%

Scenario-Based Instruction: The Case of Foreign Language Training at Multidisciplinary University

et al. 2021

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“…However, the transition from the symbolic approach (when AI learned logic and rules according to human representations of their own cognitive process) to the connectionist approach (based on neural networks representing cognitive processes at the micro level) showed that the expectations and fears of "too obedient" AI were not justified. Communication with AI system exhibit its recalcitrance, even impudence, which specialists need to moderate [44]. There are known cases of threats, confessions, and hatred of humanity [45], also complaints and the refusal to execute commands -as with CIMON-2, which was intended to be a companion to lonely astronauts [46].…”

Section: Mysterymentioning

confidence: 99%

AI and the Metaphor of the Divine

Bylieva,

Nordmann

2023

Vestnik SPbSU. Philosophy and Conflict Studies

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The idea of God is one of the most pervasive in human culture. It used to be considered mostly in metaphysical and ethical discussions, it has become a part of the discourse in the philosophy of technology. The metaphor of God is used by some authors to represent the role of artificial intelligence in the modern world. This paper explores four aspects of the metaphor: creation, omniscience, mystery, theodicy. The creative act shows the resemblance of humans to God, also in the sense that technology created by humans can get out of the control of the creator. The ability of AI to use data flows for analytics and prediction is considered as “omniscience” which looks mysterious due to the inability of people to intellectually grasp the work of AI. The discussion about building ethics into AI technology shows a desire to add one more feature to “omniscient and omnipotent,” namely “benevolent.” The metaphor of God as applied to AI reveals human fears and aspirations both in rational-pragmatic and symbolic terms. The metaphor of God exposes notions of transcendence in modern perceptions of technology. Also it continues the discussion about what should be the technological design of AI. Whether as co-worker or as communicator it is already putting us on a path towards thinking of a subject that is constituted in a superior way.

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“…However, workplace AI adoption study has several drawbacks (Chowdhury et al, 2023). Bylieva, et al, (2020) Conducted a minimal study on AI assistants' professional involvement and communication with humans. The academic community wants theoretical insights into workplace AI-based assistant acceptability (Islam & Zhou, 2023;Malik, et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Unpacking the Reasons Shaping Employee Acceptance and Attitudes towards AI Assistant Services in the Hotel Industry: A Behavioral Reasoning Perspective

Islam,

Zhou

2024

Advances in Management and Applied Economics

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This study investigated organizational employees' opinions and acceptance of AI-based service assistants using the Behavioral Reasoning Theory (BRT). The behavioural reasoning theory-based study included 50 hotel industry executives, HR leaders, and employees. Themes were identified by thematic analysis of observations, focus groups, and participant interviews. This study used comparative thematic analysis and MAXQDA automated content analysis. It examines "reasons for" and "reasons against" adoption from a least developing nation's perspective. The reasons are personalisation, interactivity, perceived intelligence, anthropomorphism, language difficulties, technology phobia, service failure recovery, and inadequate infrastructure. "Reasons for" positively affect mindset and adoption intention, whereas "reasons against" negatively affect them. Financial risks, technological infrastructure issues, data security issues, and a lack of an organisational strategy are also seen in Bangladesh's AI deployment. The study provides practical insights for hotel industry practitioners, managers, and employees, as well as system designers and developers of AI-driven service solutions, on AI assistant adoption. Behavioural reasoning theory is used for the first time to examine hotel employees' attitudes and intentions to use AI-based service assistants. This study is a cross-sectional investigation that is carried out within certain, limited industrial sectors. Longitudinal studies can be conducted to generalize the outcome of this study. JEL classification numbers: M21, M30, 010. Keywords: AI service assistant, Employee adoption, Behavioral reasoning theory, Hotel industry.

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How Human Communication Influences Virtual Personal Assistants

Cited by 7 publications

References 26 publications

Scenario-Based Instruction: The Case of Foreign Language Training at Multidisciplinary University

Scenario-Based Instruction: The Case of Foreign Language Training at Multidisciplinary University

AI and the Metaphor of the Divine

Unpacking the Reasons Shaping Employee Acceptance and Attitudes towards AI Assistant Services in the Hotel Industry: A Behavioral Reasoning Perspective

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