Sijin Zhu , Zheng Wang , Yuan Zhuang , Yuyang Jiang , Mengyao Guo , Xiaolin Zhang , Ze Gao
{"title":"Exploring the impact of ChatGPT on art creation and collaboration: Benefits, challenges and ethical implications","authors":"Sijin Zhu , Zheng Wang , Yuan Zhuang , Yuyang Jiang , Mengyao Guo , Xiaolin Zhang , Ze Gao","doi":"10.1016/j.teler.2024.100138","DOIUrl":"https://doi.org/10.1016/j.teler.2024.100138","url":null,"abstract":"<div><p>This paper examines the chaos caused by introducing advanced language models, specifically ChatGPT, to art. Our focus is on the potential impact of ChatGPT on art creation and collaboration. We explore how it has been utilized to generate art and assist in creative writing and how it facilitates collaboration between artists. This exploration includes an investigation into the use of AI in creating art, music, and literature, emphasizing ChatGPT’s role in generating poetry and prose and its ability to provide valuable suggestions for sentence structure and word choice in creative writing. We conduct case studies and interviews with diverse artists and AI experts to understand the benefits and challenges of using ChatGPT in the creative process. Our findings reveal that artists find ChatGPT helpful in generating new ideas, overcoming creative blocks, and improving the quality of their work. It enables remote collaboration between artists by providing a real-time communication and idea-sharing platform. However, ethical concerns relating to authorship ownership and authenticity have emerged. Artists fear using ChatGPT may lead to losing their artistic identity and ownership of their work. While our data suggests that ChatGPT holds the potential to transform the art world, careful consideration must be given to the ethical implications of AI in art. We recommend future research to focus on developing guidelines for the responsible use of AI in art, safeguarding artists’ rights, and preserving artistic authenticity.</p></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"14 ","pages":"Article 100138"},"PeriodicalIF":0.0,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772503024000240/pdfft?md5=861b3b6eab54a75883b535d6dfe94f3f&pid=1-s2.0-S2772503024000240-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140555330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Serghini Elaage , Abdelmounim Hmamou , Mohammed EL Ghzaoui , Nabil Mrani
{"title":"PAPR reduction techniques optimization-based OFDM signal for wireless communication systems","authors":"Serghini Elaage , Abdelmounim Hmamou , Mohammed EL Ghzaoui , Nabil Mrani","doi":"10.1016/j.teler.2024.100137","DOIUrl":"https://doi.org/10.1016/j.teler.2024.100137","url":null,"abstract":"<div><p>OFDM (Orthogonal Frequency Division Multiplexing) is a widely used modulation technique in many standards such as Wi-Fi (Wireless Fidelity), LTE (Long Term Evolution), and 4 G. It allows for high transmission data rates and excellent spectral efficiency. However, one of the main limitations of OFDM is its high PAPR (Peak-to-Average Power Ratio). In this paper, we will first describe some methods to reduce the PAPR associated with OFDM signal. We will discuss some methods such as the clipping, the Selective mapping SLM, the Partial Transmit Sequence (PTS), and the Tone Reservation (TR). Let's list their advantages and disadvantages before focusing on the TR method which we will detail. This work aims to improve the performance of the TR method in terms of speed of convergence and reduction of the PAPR, using the conjugate different algorithms while respecting the frequency specifications of the IEEE 802.11a standard. The proposed algorithm which is based on the gradient method, Conjugate gradient methods, and Quasi-Newton method shows good performance regarding PAPR reduction and speed of convergence. The choice of an appropriate technique depends on several factors: required PAPR reduction, acceptable complexity, and performances (spectral efficiency, latency, etc.). A trade-off must be found in practice between these different criteria. It has been shown that the Quasi-Newton method algorithm with its two variants converges more quickly.</p></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"14 ","pages":"Article 100137"},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772503024000239/pdfft?md5=b18f03ef4577cbd25d0a133622c33e01&pid=1-s2.0-S2772503024000239-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140533292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Preserving paradata for accountability of semi-autonomous AI agents in dynamic environments: An archival perspective","authors":"Scott Cameron , Babak Hamidzadeh","doi":"10.1016/j.teler.2024.100135","DOIUrl":"https://doi.org/10.1016/j.teler.2024.100135","url":null,"abstract":"<div><p>This paper proposes the category of real-time artificial intelligence (AI) systems as applications of computerized control systems in dynamic, time-constrained contexts normally managed by human intelligence. Noting the accountability challenges which these systems introduce, the paper posits the need for robust documentation and records capacities within these systems. The paper surveys four real-time AI systems with significant records needs: autonomous vehicles, online content targeting systems, mixed-reality tools for surgical contexts, and digital twin systems in airport facilities management. The paper identifies paradata, or the data leading up to an output in a system's operation, as a key data category necessitating preservation for full transparency in the records generated by these systems. Paradata is defined as “information about the procedure(s) and tools used to create and process information resources, along with information about the persons carrying out those procedures.” Paradata uncovers opaque technological processes underlying the production of other datasets and at a granular level must be identified and preserved to delineate the boundaries between human and system agency in semi-autonomous systems. With a basis in control theory, the paper finally offers a framework for assessing the functions of real-time AI systems' operations and their documentation and records needs.</p></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"14 ","pages":"Article 100135"},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772503024000215/pdfft?md5=628fa70f6ecfaf63969e6d024f99bdbb&pid=1-s2.0-S2772503024000215-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140351967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gabriel Andy Szalkowski , Patrick Mikalef , Iwona Maria Windekilde
{"title":"Systematic literature review on solutions to the negative environmental impacts of ICT","authors":"Gabriel Andy Szalkowski , Patrick Mikalef , Iwona Maria Windekilde","doi":"10.1016/j.teler.2024.100134","DOIUrl":"https://doi.org/10.1016/j.teler.2024.100134","url":null,"abstract":"<div><p>In the realm of Information and Communication Technologies (ICT) and environmental sustainability research, the prevailing emphasis often leans towards ICT’s role in promoting sustainable development, while the adverse environmental consequences of ICT remain understudied. The objective of this paper is to address this research gap by performing a systematic analysis of the impacts of ICT and the measures, solutions and policies aimed at mitigating them. The analysis is based on a systematic literature review of a total of 70 papers addressing or proposing solutions to the negative impacts of ICT sourced from the meta-libraries Scopus and Web of Science. Firstly, a descriptive analysis is performed to uncover prevailing trends in related literature. Subsequently, the most commonly used methods for assessing ICT’s environmental impact and the typical mechanisms underlying these impacts are identified. Further comprehensive categorization of the literature provided eight main classes of solutions to the identified impacts. We combine these results into a comprehensive framework. Additionally, an assessment of how the proposed solutions align with the 17 UN Sustainable Development Goals is provided. The conclusions of this research highlight existing research gaps and propose new research directions while also identifying a set of policy implications.</p></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"14 ","pages":"Article 100134"},"PeriodicalIF":0.0,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772503024000203/pdfft?md5=9763007814a5e320a7c78bef5acec82a&pid=1-s2.0-S2772503024000203-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140343791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nastaran Saffaryazdi , Nikita Kirkcaldy , Gun Lee , Kate Loveys , Elizabeth Broadbent , Mark Billinghurst
{"title":"Exploring the impact of computer-mediated emotional interactions on human facial and physiological responses","authors":"Nastaran Saffaryazdi , Nikita Kirkcaldy , Gun Lee , Kate Loveys , Elizabeth Broadbent , Mark Billinghurst","doi":"10.1016/j.teler.2024.100131","DOIUrl":"10.1016/j.teler.2024.100131","url":null,"abstract":"<div><p>Remote communication has become pervasive, yet its impact on human emotions, empathy, and physiological responses remains unclear. This study addresses this gap by investigating how emotional video-mediated conversations differ from face-to-face interactions, focusing on behavioral and physiological responses. We create a multimodal dataset of Electrodermal Activity (EDA) signals, Photoplethysmography (PPG) signals, and facial videos from two people conversing about emotional topics in face-to-face and remote video-mediated conditions. We use a series of repeated measures ANOVA with aligned rank transform to compare face-to-face to remote conversation in terms of heart rate activity, electrodermal activity, and facial action units. We also explore how subjective empathy between people varies in these two conditions. Our findings reveal significant differences in physiological responses between face-to-face and remote conversation and variations in perceived empathy based on interaction setting, highlighting the nuanced influence of communication channels. We also show that we can recognize emotions more accurately when we pre-train a random forest classifier with one condition’s data (an increase of 20% to 45% for various modalities). Finally, we discuss the research findings and limitations and offer insights for optimizing human–computer interaction and understanding human emotional responses in an increasingly tech-mediated world.</p></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"14 ","pages":"Article 100131"},"PeriodicalIF":0.0,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772503024000173/pdfft?md5=515cec607dad2682767200b6724b6187&pid=1-s2.0-S2772503024000173-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140276713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"“Vanity fair on Instagram”: The roles of vanity, materialism, social comparison, Instagram usage intensity, and market mavenism in social commerce","authors":"Seunga Venus Jin , Ehri Ryu","doi":"10.1016/j.teler.2024.100133","DOIUrl":"10.1016/j.teler.2024.100133","url":null,"abstract":"<div><p>The present article is an attempt to offer insights into interconnections among consumer personality, individual difference factors, Instagram usage behavior, and luxury fashion brand attitude in contemporary Web 2.0 technological environments. To this end, the study particularly focused on Instagram, a highly visual social media platform, mostly used in the form of a mobile app. Instagram fits the purpose of consumers’ vanity. Personality mechanisms, known to produce effects of personality traits on digital technology usage behaviors, that shape consumer behavior in the context of Instagram usage and luxury fashion brand consumption were examined. A cross-sectional survey was conducted among actual Instagram users recruited from M-Turk Prime Panel. A series of structural equation models (SEM) were estimated using Mplus 8. Two structural equation models are estimated: one with objective Instagram usage frequency, and the other with subjective Instagram usage intensity. Results show dynamic associations among Instagram users’ personality variables, individual difference factors, Instagram usage frequency/intensity, and luxury brand involvement. In light of the power of Instagram in luxury fashion branding, the current study proposes a variety of personality mechanisms and individual difference factors (vanity, materialism, social comparison orientation, obsessive-compulsive/impulsive buying tendency, and market mavenism) that shape Instagram users’ attitude toward and involvement with luxury fashion brands in Web 2.0 social commerce.</p></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"14 ","pages":"Article 100133"},"PeriodicalIF":0.0,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772503024000197/pdfft?md5=5d0599d0ef82bf7b6fa532ab49051d31&pid=1-s2.0-S2772503024000197-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140273334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Determinants of trust in Bitcoin: Literature review and results of a survey study","authors":"René Riedl , Lukas Gschwentner , Frank Krueger","doi":"10.1016/j.teler.2024.100132","DOIUrl":"10.1016/j.teler.2024.100132","url":null,"abstract":"<div><p>The rise of Bitcoin, a decentralized digital currency built on blockchain technology, marks the onset of a novel era in financial transactions and has generated substantial interest among academics and industry professionals. The fundamental notion of trust lies at the core of Bitcoin's success and broad acceptance. It is imperative to better understand the factors influencing trust in Bitcoin for the progression of scholarly advancement and practical implementations. Against this background, this paper explored the fundamental research question of what factors influence trust in Bitcoin. Firstly, we conducted a literature review and examined 22 empirical articles investigating determinants of trust in Bitcoin. Secondly, we conducted a quantitative survey with 372 participants to investigate the top 20 determinants of trust in Bitcoin. We leveraged our literature review results, considering that most examined articles used qualitative methods and often had a broader focus on blockchain technology rather than Bitcoin itself. Our survey results uncovered the perceived nature and strength of the relationship between the 20 factors and trust in Bitcoin, particularly emphasizing how Bitcoin ownership status influenced these findings. In summary, our results contribute to an enhanced understanding of the elements shaping trust in Bitcoin, which is vital both from an academic standpoint and for its practical significance, considering the widespread public interest in Bitcoin.</p></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"14 ","pages":"Article 100132"},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772503024000185/pdfft?md5=48ba739f13e3b42a9d9908587e4aed53&pid=1-s2.0-S2772503024000185-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140280200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Santosh K. Smmarwar, Govind P. Gupta, Sanjay Kumar
{"title":"Android malware detection and identification frameworks by leveraging the machine and deep learning techniques: A comprehensive review","authors":"Santosh K. Smmarwar, Govind P. Gupta, Sanjay Kumar","doi":"10.1016/j.teler.2024.100130","DOIUrl":"https://doi.org/10.1016/j.teler.2024.100130","url":null,"abstract":"<div><p>The ever-increasing growth of online services and smart connectivity of devices have posed the threat of malware to computer system, android-based smart phones, Internet of Things (<em>IoT)</em>-based systems. The anti-malware software plays an important role in order to safeguard the system resources, data and information against these malware attacks. Nowadays, malware writers used advanced techniques like obfuscation, packing, encoding and encryption to hide the malicious activities. Because of these advanced techniques of malware evasion, traditional malware detection system unable to detect new variants of malware. Cyber security has attracted many researchers in the past for designing of Machine Learning (<em>ML</em>) or Deep Learning (<em>DL</em>) based malware detection models. In this study, we present a comprehensive review of the literature on malware detection approaches. The overall literature of the malware detection is grouped into three categories such as review of feature selection (<em>FS</em>) techniques proposed for malware detection, review of <em>ML</em>-based techniques proposed for malware detection and review of <em>DL</em>-based techniques proposed for malware detection. Based on literature review, we have identified the shortcoming and research gaps along with some future directives to design of an efficient malware detection and identification framework.</p></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"14 ","pages":"Article 100130"},"PeriodicalIF":0.0,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772503024000161/pdfft?md5=7e8fc995195206a49129dab94c881a38&pid=1-s2.0-S2772503024000161-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140134879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"“Technopian but lonely investors?”: Comparison between investors and non-investors of blockchain technologies, cryptocurrencies, and non-fungible tokens (NFTs) in Artificial Intelligence-Driven FinTech and decentralized finance (DeFi)","authors":"S. Venus Jin","doi":"10.1016/j.teler.2024.100128","DOIUrl":"10.1016/j.teler.2024.100128","url":null,"abstract":"<div><p>Drawing from the literature on decentralized finance (DeFi) and third-level digital (in)equality as well as from the emerging literature on artificial intelligence (AI), this study examined differences between investors and non-investors of blockchain technologies, cryptocurrencies, and non-fungible tokens (NFTs). Data from a cross-sectional survey among users of AI technologies (<em>N</em> = 502) indicate that investors of blockchain technologies, cryptocurrencies, and NFTs show higher blockchain transparency perception, greater trust in cryptocurrencies, and higher perceived asset value of NFTs than non-investors. Results also indicate that investors show greater technopian views on AI, higher AI awareness, and higher third-level AI equality than non-investors. Furthermore, the mediation effect of trust in cryptocurrencies on the relationship between investment status and perceived asset value of NFTs and the moderation effect of AI awareness on the relationship between investment status and third-level AI equality were revealed. Differential psychographics of investors versus non-investors were also found such that investors feel lonelier, experience higher existential isolation, and indicate higher need to belong than non-investors. Unique theoretical contributions to the literature on the intersection of DeFi and third-level digital (in)equality in light of AI-driven digital transformation as well as managerial implications for the emerging NFT FinTech marketplace are discussed.</p></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"14 ","pages":"Article 100128"},"PeriodicalIF":0.0,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772503024000148/pdfft?md5=0f470ad512e0d62006664fea113f6632&pid=1-s2.0-S2772503024000148-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140090974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial intelligence research: A review on dominant themes, methods, frameworks and future research directions","authors":"Kingsley Ofosu-Ampong","doi":"10.1016/j.teler.2024.100127","DOIUrl":"10.1016/j.teler.2024.100127","url":null,"abstract":"<div><p>This article presents an analysis of artificial intelligence (AI) in information systems and innovation-related journals to determine the current issues and stock of knowledge in AI literature, research methodology, frameworks, level of analysis and conceptual approaches. By doing this, the article aims to identify research gaps that can guide future investigations. A total of 85 peer-reviewed articles from 2020 to 2023 were used in the analysis. The findings show that extant literature is skewed towards the prevalence of technological issues and highlights the relatively lower focus on other themes, such as contextual knowledge co-creation issues, conceptualisation, and application domains. While there have been increasing technological issues with artificial intelligence, the three identified areas of security concern are data security, model security and network security. Furthermore, the review found that contemporary AI, which continually drives the boundaries of computational capabilities to tackle increasingly intricate decision-making challenges, distinguishes itself from earlier iterations in two primary aspects that significantly affect organisational learning in dealing with AI's potential: autonomy and learnability. This study contributes to AI research by providing insights into current issues, research methodology, level of analysis and conceptual approaches, and AI framework to help identify research gaps for future investigations.</p></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"14 ","pages":"Article 100127"},"PeriodicalIF":0.0,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772503024000136/pdfft?md5=ff23dd49ab08767e77b9ba3762c2982c&pid=1-s2.0-S2772503024000136-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140090836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}