The Emerging Era of Human-AI Interaction: Keynote Address

Virvou, Maria

doi:10.1109/iisa56318.2022.9904422

Cited by 13 publications

(6 citation statements)

References 78 publications

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“…Research underscores the increasing integration of AI models, like successful collaboration. The literature consistently points to the significance of user trust as a determining factor in the effectiveness and acceptance of AI systems [10].…”

Section: Some Of the Recent Related Work Are Given Belowmentioning

confidence: 99%

Human-AI Collaboration: Understanding User Trust in ChatGPT Conversations

Hans,

Kumar,

Parihar

et al. 2024

IJSREM

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This research paper delves into the critical dimension of Human-AI Collaboration, with a specific focus on unraveling the intricacies of user trust in ChatGPT conversations. In an era marked by increasing AI integration into various aspects of human life, understanding and fostering user trust in conversational AI systems like ChatGPT is essential for effective collaboration. The study employs a comprehensive approach, investigating metrics for trust measurement, analyzing user experiences, and exploring the factors that influence trust. By examining the evolving impact of trust on collaboration and conducting comparative analyses with other conversational AI models, the research aims to provide valuable insights. Ultimately, the paper not only contributes to a nuanced understanding of user trust in ChatGPT conversations but also offers practical recommendations for developers and stakeholders to enhance the collaborative potential of AI systems in real-world applications. Keywords: Human-AI Collaboration, ChatGPT Conversations, Conversational AI, Trust Metrics, User Trust.

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Section: Some Of the Recent Related Work Are Given Belowmentioning

confidence: 99%

Human-AI Collaboration: Understanding User Trust in ChatGPT Conversations

Hans,

Kumar,

Parihar

et al. 2024

IJSREM

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“…Navigating the terrain of AIsmosis necessitates a sophisticated and adaptive approach, acknowledging its potential to reshape societal structures and remodel human experiences. Developers must consistently evaluate our decision-making processes, ensuring they evolve ethically under the guiding principles of fairness and transparency (Virvou, 2022). Given the unpredictability of AI, it becomes increasingly imperative to maintain a central focus on human agency within human-artificial intelligence interaction (HAII), justifying the continuous safeguarding of human autonomy and aligning AI objectives with societal welfare (Virvou, 2022).…”

Section: Review Articlementioning

confidence: 99%

AIsmosis and the pas de deux of human-AI interaction: Exploring the communicative dance between society and artificial intelligence

Bozdag

2023

ONLINE J COMMUN MEDIA TECHNOL

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As the global influence of artificial intelligence (AI) in our daily lives and the looming advent of artificial general intelligence (AGI) become increasingly apparent, the need for a sophisticated interpretive framework intensifies. This paper introduces ‘AIsmosis’–a term that captures AI’s gradual, nuanced integration into society, and akin to the biological process of osmosis. AI’s integration dynamics are examined through the lens of three pivotal theories: social construction of technology, technological determinism, and diffusion of innovations. These theories collectively elucidate the sociocultural influences on AI, the potential repercussions of unchecked technological growth, and the factors driving the adoption of novel technologies. Building upon these explorations, the ‘controlled AIsmosis’ conceptual framework emerges, emphasizing ethically conscious development, active stakeholder communication, and democratic dialogue in the context of AI technology adoption. Rooted in communicative action theory, this framework illuminates AI’s transformative impact on society. It calls for a comprehensive evaluation of systems that steer AI diffusion and their potential impacts, acknowledging the pervasive influence of AI and transcending traditional disciplinary boundaries. This work underscores the need for a multidisciplinary and interdisciplinary approach in investigating the complex AI-society interplay and understanding the ethical and societal consequences of AIsmosis.

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“…In view of the above, a new field has emerged, that of Human-AI interaction [37,38] based on the evolution of knowledge-based Human-Computer Interaction [39,40]. This new field refers to the ways in which humans and artificial intelligence (AI) systems interact and communicate with each other.…”

Section: The Cycle Of Artificial Intelligence and User Experiencementioning

confidence: 99%

Artificial Intelligence and User Experience in reciprocity: Contributions and state of the art

Virvou¹

2023

IDT

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Among the primary aims of Artificial Intelligence (AI) is the enhancement of User Experience (UX) by providing deep understanding, profound empathy, tailored assistance, useful recommendations, and natural communication with human interactants while they are achieving their goals through computer use. To this end, AI is used in varying techniques to automate sophisticated functions in UX and thereby changing what UX is apprehended by the users. This is achieved through the development of intelligent interactive systems such as virtual assistants, recommender systems, and intelligent tutoring systems. The changes are well received, as technological achievements but create new challenges of trust, explainability and usability to humans, which in turn need to be amended by further advancements of AI in reciprocity. AI can be utilised to enhance the UX of a system while the quality of the UX can influence the effectiveness of AI. The state of the art in AI for UX is constantly evolving, with a growing focus on designing transparent, explainable, and fair AI systems that prioritise user control and autonomy, protect user data privacy and security, and promote diversity and inclusivity in the design process. Staying up to date with the latest advancements and best practices in this field is crucial. This paper conducts a critical analysis of published academic works and research studies related to AI and UX, exploring their interrelationship and the cause-effect cycle between the two. Ultimately, best practices for achieving a successful interrelationship of AI in UX are identified and listed based on established methods or techniques that have been proven to be effective in previous research reviewed.

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The Emerging Era of Human-AI Interaction: Keynote Address

Cited by 13 publications

References 78 publications

Human-AI Collaboration: Understanding User Trust in ChatGPT Conversations

Human-AI Collaboration: Understanding User Trust in ChatGPT Conversations

AIsmosis and the pas de deux of human-AI interaction: Exploring the communicative dance between society and artificial intelligence

Artificial Intelligence and User Experience in reciprocity: Contributions and state of the art

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