Human-Computer Interaction

The Role of Artificial Intelligence in Architecture: The Case Studies of Star Architects

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Günes Mutlu Avinç1* , Hilal Ayci2  & Asli Tas3   
1Department of Architecture, Mus Alparslan University Faculty of Engineering and Architecture, Mus, Turkey. *Corresponding author.
2Department of Architecture, Gazi University Faculty of Architecture, Ankara, Turkey.
3Department of Architecture, Nevsehir Haci Bektas Veli University Faculty of Engineering and Architecture, Nevsehir, Turkey.

Rupkatha Journal, Vol. 17, Issue 1, 2025. https://doi.org/10.21659/rupkatha.v17n1.04
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Abstract

This research examines the projects of star architects who develop architectural designs using artificial intelligence and the impact of this technology on changing the role of the star architect. In this context, nine prominent architectural groups—Zaha Hadid Architects, Coop Himmelblau, Morphosis, Foster & Partners, Skidmore, Owings & Merrill, Vincent Callebaut, Arup, MAD Architecture, and UN Studio—are analyzed to demonstrate how these architects integrate artificial intelligence into the creative process and how the traditional role of the architect has changed. The originality of the research lies in its focus on the relationship between artificial intelligence and the star architects standing at the intersection of architecture and technology. Star architects shape architecture with their productions and discourses. The study is based on qualitative analysis, and the documents and publications of the projects of star architects were evaluated by the content analysis method. Our findings indicate that artificial intelligence has expanded the architect’s role in creative processes. With artificial intelligence, each star architect is rediscovering the boundaries of architecture and creating innovative and creative designs. Consequently, the study examines how artificial intelligence influences architectural practice by analyzing the works of renowned star architects.

Keywords: Artificial intelligence, AI in architecture, AI technology, architectural design, star architect.

Conflicts of Interest: The authors declared no conflicts of interest.
Funding: No funding was received for this research.
Article History: Received: 03 January 2025. Revised: 20 March 2025. Accepted: 21 March 2025. First published: 26 March 2025.
Copyright: © 2025 by the author/s.
License: License Aesthetix Media Services, India. Distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Published by: Aesthetix Media Services, India 
Citation: Avinç, G. M., Ayci, H. & Tas, A. (2025). The Role of Artificial Intelligence in Architecture: The Case Studies of Star Architects. Rupkatha Journal, 17(1). https://doi.org/10.21659/rupkatha.v17n1.04

Rupkatha Journal's Sustainable Development Goals (SDGs): Quality education (SDG 4) Gender equality (SDG 5) Decent work and economic growth (SDG 8) Reduced inequalities (SDG 10) Sustainable cities and communities (SDG 11) Climate action (SDG 13) Life on land (SDG 15) Peace, justice, and strong institutions (SDG 16)

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The Actual Use of Generative AI in Online Literary Production: An Exploratory Study with Lusophone Writers on Wattpad

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Paulo Reis Mourão1* & Yun Liu2*   
1Department of Economy, University of Minho, Portugal. *Corresponding author. 
2Faculty of Arts and Humanities, University of Lisbon. 

Rupkatha Journal, Vol. 17, Issue 1, 2025. https://doi.org/10.21659/rupkatha.v17n1.03
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Abstract

Generative Artificial Intelligence (Generative AI) has become one of the most controversial topics in literary production. There have already been several reflections in this area, but more remains to be known about the actual use of Generative AI in online literary production. Therefore, this exploratory study, based on the responses provided by a sample of users of the Wattpad platform, aims to contribute to the knowledge of the self-consciousness modes of application, as well as perspectives about Generative AI in online fiction production. We tested two major hypotheses: i) the use of AI provides more consciousness of future injustices, and ii) the concerns about plagiarism clarify the capacity of AI contribution to literary production. The collected data were then analyzed using both quantitative and qualitative methods. The main results show that writers are generally self-aware about the use of Generative AI, and authors with greater ethical concern assume a lower propensity to use Generative AI in content production.

Keywords: Generative Artificial Intelligence; online literary production; plagiarism; Wattpad; survey.

Conflicts of Interest: The authors declared no conflicts of interest.
Funding: No funding was received for this research.
Article History: Received: 15 January 2025. Revised: 07 March 2025. Accepted: 20 March 2025. First published: 26 March 2025.
Copyright: © 2025 by the author/s.
License: License Aesthetix Media Services, India. Distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Published by: Aesthetix Media Services, India 
Citation: Mourão, P. R., & Liu, Y. (2025). The Actual Use of Generative AI in Online Literary Production: An Exploratory Study with Lusophone Writers on Wattpad. Rupkatha Journal, 17(1). https://doi.org/10.21659/rupkatha.v17n1.03

Rupkatha Journal's Sustainable Development Goals (SDGs): Quality education (SDG 4) Gender equality (SDG 5) Decent work and economic growth (SDG 8) Reduced inequalities (SDG 10) Sustainable cities and communities (SDG 11) Climate action (SDG 13) Life on land (SDG 15) Peace, justice, and strong institutions (SDG 16)

Robotic Intervention in Preserving Artifacts: The Case of the Bini Cultural Artifacts in Nigeria

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Harrie U.M. Bazunu1  , Patience A. Edo2 , Celestina O. Isiramen3 & Peter O. O. Ottuh4*   
1Senior Lecturer, Department of Fine and Applied Arts, Delta State University, Nigeria.
2Lecturer I, Department of Fine and Applied Arts, Delta State University, Nigeria.
3Professor, Department of Religious Management and Cultural Studies, Ambrose Alli University, Nigeria.
4Professor, Department of Religious Studies and Philosophy, Delta State University, Nigeria. *Corresponding Author

Rupkatha Journal, Vol. 17, Issue 1, 2025. https://doi.org/10.21659/rupkatha.v17n1.02
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Abstract

This study examines the role of robotic assistance in preserving cultural artifacts, with a particular emphasis on Bini artifacts in Nigeria. The objective is to mitigate the loss of Bini artifacts, which contain cultural treasures representing the pride and distinctiveness of the Bini people in Nigeria. Robots are considered a critical possibility in this context, as they can function remotely in hazardous areas and protect cultural artifacts. This study employs a phenomenological methodology, using semi-structured interviews with museum curators, robotics scientists, and cultural heritage preservationists. The results indicate that the design and application of robotic devices, such as drones, arms, mobile robots, cameras, sensors, and excavators, can engage with and preserve the Bini artifacts. This research suggests a promising avenue for studying robotic engagement in global digitized conservation efforts, reconstruction, and the curation of cultural items in the twenty-first century and beyond.

Keywords: Robotic Intervention, Preservation, Bini, Cultural Artifacts, Art, Religion, Africa, Nigeria.

Conflicts of Interest: The authors declared no conflicts of interest.
Funding: No funding was received for this research.
Article History: Received: 09 January 2025. Revised: 21 March 2025. Accepted: 21 March 2025. First published: 26 March 2025.
Copyright: © 2025 by the author/s.
License: License Aesthetix Media Services, India. Distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Published by: Aesthetix Media Services, India 
Citation: Bazunu, H. U., Edo, P. A., Isiramen, C. O., & Ottuh, P. O. O. (2025). Robotic Intervention in Preserving Artifacts: The Case of the Bini Cultural Artifacts in Nigeria. Rupkatha Journal, 17(1). https://doi.org/10.21659/rupkatha.v17n1.02

Rupkatha Journal's Sustainable Development Goals (SDGs): Quality education (SDG 4) Gender equality (SDG 5) Decent work and economic growth (SDG 8) Reduced inequalities (SDG 10) Sustainable cities and communities (SDG 11) Climate action (SDG 13) Life on land (SDG 15) Peace, justice, and strong institutions (SDG 16)

Error Analysis of Machine Translation for Malayalam Fiction

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Hanna C H1* , Sabeerali KP2 & Vrinda Varma3  
1Research Scholar, Department of Humanities Arts and Social Science, NIT Calicut, India. *Corresponding author.
2Independent Researcher, India.
3Assistant Professor, Department of Humanities Arts and Social Science, NIT Calicut, India.

Rupkatha Journal, Vol. 17, Issue 1, 2025. https://doi.org/10.21659/rupkatha.v17n1.01
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Abstract

Machine translation (MT) has transformed translation studies and linguistics, significantly improving cross-cultural communication and linguistic analysis. The aim of this study is to evaluate and compare the accuracy of Google Translate, AI4Bharat’s IndicTrans2 and Bing in handling Malayalam compound nouns, with a particular focus on Named Entity Deviation Errors. The study seeks to identify specific challenges in translating Malayalam noun formations and case markers and to understand their impact on translation quality. Utilizing a mixed-methods approach, the research involves quantitative and qualitative analyses of three corpora built from a selected fiction text in Malayalam and its human English translation. Our findings revealed significant issues in translation accuracy, and some common errors were identified including improper translations of proper nouns, mistranslations of compound nouns and transliteration issues. Automated metrics used to analyse errors in each MT model revealed that literary-adapted machine translation models produced richer output and showed improved performance compared to general domain models. The study accentuates the necessity of robust linguistic models and larger, high-quality parallel corpora to enhance MT accuracy for low-resource languages like Malayalam. The study suggests a hybrid approach that develops MT to achieve greater precision and reliability in translation practices, ensuring nuanced and contextually accurate translations.

Keywords: Machine Translation, Google Translate, IndicTrans2, Bing, Malayalam compound nouns, Named entity deviation errors.

Conflicts of Interest: The authors declared no conflicts of interest.
Funding: No funding was received for this research.
Article History: Received: 31 January 2025. Revised: 20 March 2025. Accepted: 21 March 2025. First published: 26 March 2025.
Copyright: © 2025 by the author/s.
License: License Aesthetix Media Services, India. Distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Published by: Aesthetix Media Services, India 
Citation: Hanna, C. H., Sabeerali, K.P., & Varma, V. (2025). Error Analysis of Machine Translation for Malayalam Fiction. Rupkatha Journal, 17(1). https://doi.org/10.21659/rupkatha.v17n1.01

Rupkatha Journal's Sustainable Development Goals (SDGs): Quality education (SDG 4) Gender equality (SDG 5) Decent work and economic growth (SDG 8) Reduced inequalities (SDG 10) Sustainable cities and communities (SDG 11) Climate action (SDG 13) Life on land (SDG 15) Peace, justice, and strong institutions (SDG 16)