Published: Jan. 1, 2024
Making sophisticated software applications economically feasible does not necessarily mean that userUser needs and demands are[aut]Bialkova, S. met in regard to chatbotsChatbot (Bialkova 2021, 2022a). Creating consumers are willing use is an easy task. In particular, understanding the key drivers of chatbotChatbot efficiency, reflecting consumer satisfactionSatisfaction, attitudesAttitudes, use, recommendationRecommendation a chatbotChatbot, calls further investigation. The current chapter aims provide profound literature audit order identify efficiency. First, evolution research on discussed, line with different industries contexts, ranging from banking, telecommunications, retail, travel, tourism, education health care. main emerging trends summarised thematic map, raising fundaments build our theoretical framework. encompassed human–computer interaction usabilityUsability, cognitive science psychology, as well behaviour marketingMarketing papers. This multidisciplinary approach provides opportunity generate overarching picture could be used better understand what ingredients needed efficient AIArtificial Intelligence (AI) applications. core notions organised around three pillars: acceptanceAcceptance models, behavioural theories, social influenceSocial influence theories. Fundamental concepts (e.g., qualityQuality, functionalityFunctionality), affective enjoymentEnjoyment), personal carePersonal care, presenceSocial presence) perspectives presented holistic
Language: Английский
Citations
7
Personal Relationships, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 10, 2024
Abstract With the increasingly emerging human–artificial intelligence (AI) romantic relationships throughout world, it is important to understand its meaning from perspective of users who are dating virtual lovers. This study uses relational dialectics theory 2.0 and corresponding method contrapuntal analysis examine discursive tensions what means have an AI partner. Specifically, this focused on social chatbot Replika analyzed posts shared by in online community. Findings revealed two discourses: discourse idealization (DI) realism (DR) that interplayed through both contractive expansive practices. contributes field introducing DI DR framework, which lays groundwork for future research human–AI relationships. Additionally, pivotal role communication highlighted, serves as cornerstone constructing, framing, negotiating
Language: Английский
Citations
7
International Journal of the Legal Profession, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 26
Published: Nov. 5, 2024
Two of the forces that have most shaped landscape in higher education over last few years been sustainability on one hand and Artificial Intelligence (AI) other. Bringing these phenomena together, this article examines multifaceted challenges posed by integrating AI into legal education. The integration has promised to revolutionise field, offering unprecedented opportunities for efficiency innovation. However, transformative shift is accompanied ethical challenges. This explores important issues arising from adoption education, emphasising equity, ethics long-term viability AI-driven initiatives. Strategies promote fairness, inclusivity practices are explored, alongside resource allocation schemes, digital divide mitigation sustainable faculty training programmes. Ethical considerations examined, focusing biases policies promoting equity inclusion. also discusses challenge regulatory compliance an evolving landscape. intersection adoption, necessitates a conscientious principles navigate dilemmas responsibly. By addressing challenges, can lead way shaping future where serves as valuable tool.
Language: Английский
Citations
5
Current Sexual Health Reports, Journal Year: 2024, Volume and Issue: 17(1)
Published: Dec. 4, 2024
Language: Английский
Citations
4
International Journal of Information Management, Journal Year: 2025, Volume and Issue: 83, P. 102890 - 102890
Published: March 7, 2025
Language: Английский
Citations
0
Frontiers in Psychology, Journal Year: 2025, Volume and Issue: 16
Published: April 9, 2025
The rapid integration of artificial agents-robots, avatars, and chatbots-into human social life necessitates a deeper understanding human-AI interactions their impact on interaction. Artificial agents have become integral across various domains, including healthcare, education, entertainment, offering enhanced efficiency, personalization, emotional connectivity. However, effectiveness in providing successful interaction is influenced by factors that both reception responses during present article explores how different forms these influence processes essential for interaction, such as attributing mental states intentions shaping emotions. goal this paper to analyze the roles can cannot assume environments, stances humans adopt toward them, dynamics human-artificial agent interactions. Key associated with agent's design physical appearance, adaptability behavior, user beliefs knowledge, transparency cues, uncanny valley phenomenon been selected significant AI contexts.
Language: Английский
Citations
0
Published: Jan. 1, 2025
Language: Английский
Citations
0
Published: Jan. 1, 2025
Language: Английский
Citations
0
International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 19
Published: July 25, 2024
The introduction of ChatGPT in academia has raised significant concerns, particularly regarding issues like plagiarism and the ethical use generative text for academic purposes. Existing literature predominantly focused on adoption, leaving a notable gap addressing strategies users employ to mitigate these emerging challenges. To bridge this gap, research utilizes Uncertainty Reduction Theory (URT) formulate user reducing uncertainty. These include both interactive passive approaches. Concurrently, study identifies key sources uncertainty, which concerns related transparency, information accuracy, privacy. Additionally, it introduces concepts seeking clarification consulting peer feedback as mediating roles facilitate reduced We tested hypotheses with sample Indonesian (N = 566) using structural equation modeling via Smart-PLS 4.0 software. results confirm that Strategies (URS) are more effective uncertainty when compared URS. Transparency privacy identified factors increase level In contrast, is most strategy at individual-system level. Insights from effects significantly mediates reduce discusses various by educational context contributes theoretical development.
Language: Английский
Citations
3
Human Behavior and Emerging Technologies, Journal Year: 2024, Volume and Issue: 2024(1)
Published: Jan. 1, 2024
Incorporating AI tools like ChatGPT into higher education has been beneficial, yet the extent of user satisfaction with quality information provided by these tools, known as (UIS) and (IQ) theory, remains underexplored. This study introduces a UIS model specifically designed for ChatGPT’s application in educational sector based on multidimensions IQ theory. Drawing from established we crafted centered around seven essential factors that influence effective use ChatGPT, aiming to guide educators learners overcoming common challenges such plagiarism ensuring ethical AI. Data was collected Indonesian university participants ( N = 508) analyzed using structural equation modeling Smart‐PLS 4.0. The results reveal completeness, precision, timeliness, convenience, format are most influential driving ChatGPT. Interestingly, our research indicated accuracy reliability information, typically deemed paramount, were not primary concerns academic Our findings recommend cautious approach integrating education. We advocate strategic recognizes its innovative potential while acknowledging limitations, responsible contexts. balanced perspective is crucial fabric without compromising integrity or quality.
Language: Английский
Citations
3