Adoption Of Novel Technologies Research Articles

Harnessing Phytohormones: Advancing Plant Growth and Defence Strategies for Sustainable Agriculture.

Phytohormones, pivotal regulators of plant growth and development, are increasingly recognized for their multifaceted roles in enhancing crop resilience against environmental stresses. In this review, we provide a comprehensive synthesis of current research on utilizing phytohormones to enhance crop productivity and fortify their defence mechanisms. Initially, we introduce the significance of phytohormones in orchestrating plant growth, followed by their potential utilization in bolstering crop defences against diverse environmental stressors. Our focus then shifts to an in-depth exploration of phytohormones and their pivotal roles in mediating plant defence responses against biotic stressors, particularly insect pests. Furthermore, we highlight the potential impact of phytohormones on agricultural production while underscoring the existing research gaps and limitations hindering their widespread implementation in agricultural practices. Despite the accumulating body of research in this field, the integration of phytohormones into agriculture remains limited. To address this discrepancy, we propose a comprehensive framework for investigating the intricate interplay between phytohormones and sustainable agriculture. This framework advocates for the adoption of novel technologies and methodologies to facilitate the effective deployment of phytohormones in agricultural settings and also emphasizes the need to address existing research limitations through rigorous field studies. By outlining a roadmap for advancing the utilization of phytohormones in agriculture, this review aims to catalyse transformative changes in agricultural practices, fostering sustainability and resilience in agricultural settings.

The Year in Graduate Medical Education: Selected Highlights from 2023

This special article is the third in an annual series for the Journal of Cardiothoracic and Vascular Anesthesia that highlights significant literature from the world of graduate medical education that was published over the past year. Some of the major themes that will be addressed in this review include the potential uses and pitfalls of artificial intelligence in graduate medical education, trainee well-being and the rise of unionized house staff, the effect of gender and race/ethnicity on residency application and attrition rates, and the adoption of novel technologies in medical simulation and education. The authors would like to thank the editorial board for again allowing us to draw attention to some of the more interesting work published in the field of graduate medical education during 2023. We hope that the readers find these highlights thought-provoking and informative as we all strive to successfully educate the next generation of anesthesiologists.

Mapping the path to a net‐zero chemicals industry by long‐term planning with changes in technologies and climate

AbstractThe chemical industry, along with many other industries, has pledged to reach net‐zero emissions within the next few decades for greenhouse gases, plastics, etc. This requires systematic methods to guide investment in technologies and value‐chain alternatives, and develop roadmaps. The proposed framework is a multiperiod planning model to guide optimal reforms in cradle‐to‐cradle life‐cycle networks across the pledged time horizon. It aims to meet environmental targets while minimizing the total annualized cost of natural resources and the investment cost associated with adoption of novel technologies. This considers the evolution of technology readiness levels as S‐curves or continuous time Markov‐chains. Integrated Assessment models account for climate change, decarbonization due to energy mix changes, and carbon taxes. Multiple climate change scenarios and shared socioeconomic pathways are used to model future scenarios. In addition to providing roadmaps, the outputs can also be used to identify technologies that will be robust to future scenarios.

An Ex-post Impact Assessment of Seed-to-Seed Mechanization in Maize in Telangana State, India

In Telangana, India, maize is cultivated in large areas next to rice and cotton. Considering the importance of the crop, Professor Jayashankar Telangana state Agricultural University (PJTSAU) is focusing on the development of new maize hybrids and agro-technologies that increase yield and income for farmers and reduce input and management costs. In order to evaluate the impacts of seed-to-seed mechanization technology, the Economic Surplus (ES) approach was applied in the present study that quantifies aggregate social benefits which includes producer and consumer surplus. Results revealed a total surplus of Rs. 19.61 lakhs, mainly benefiting producers (72.09 per cent) and consumers (27.91 per cent). The investment in seed-to-seed mechanization demonstrated a promising 23 per cent internal rate of return (IRR), a net present value (NPV) of Rs. 3.2 lakhs, and a favorable BC ratio of 1.67:1. The results of study found that the adoption of novel technology increased farm income and reduced the labour cost.

Safety Issues of Herb-Warfarin Interactions.

Warfarin is a popular anticoagulant with high global demand. However, studies have underlined serious safety issues when warfarin is consumed concomitantly with herbs or its formulations. This review aimed to highlight the mechanisms behind herb-warfarin interactions while laying special emphasis on its PKPD interactions and evidence on Herb-Warfarin Interaction (HWI) with regards to three different scenarios, such as when warfarin is consumed with herbs taken as foods or prescribed as medicine, or when used in special situations. A targeted literature methodology involving different scientific databases was adopted for acquiring information on the subject of HWIs. Results of the present study revealed some of the fatal consequences of HWI, including post-operative bleeding, thrombosis, subarachnoid hemorrhage, and subdural hematomas occurring as a result of interactions between warfarin and herbs or commonly associated food products from Hypericum perforatum, Zingiber officinale, Vaccinium oxycoccos, Citrus paradisi, and Punica granatum. In terms of PK-PD parameters, herbs, such as Coptis chinensis Franch. and Phellodendron amurense Rupr., were found to compete with warfarin for binding with plasma proteins, leading to an increase in free warfarin levels in the bloodstream, resulting in its augmented antithrombic effect. Besides, HWIs were also found to decrease International Normalised Ratio (INR) levels following the consumption of Persea americana or avocado. Therefore, there is an urgent need for an up-to-date interaction database to educate patients and healthcare providers on these interactions, besides promoting the adoption of novel technologies, such as natural language processing, by healthcare professionals to guide them in making informed decisions to avoid HWIs.

A Review on Novel Nanofiber-based Dermal Applications: Utilization of Polysaccharides

Abstract: Nanotechnology is a rapidly expanding field of study because of its numerous dermal applications and benefits in dermal care. It also represents progress in research and development by enhancing product efficacy through the adoption of novel technologies. Nanotechnology is increasingly being used in dermal applications to avoid some of the problems associated with traditional treatments. Dermal applications are the segment of the consumer products market that is expanding the fastest, and their popularity has exploded in recent years. In addition to wrinkles, hyperpigmentation, photoaging, hair damage, and dandruff, nanofibers are now frequently used in dermal treatments for skincare, hair, lips, and nails. These innovative dermal applications using nanofibers provide improved skin penetration, higher stability, site-specific targeting, controlled and prolonged drug release, and high entrapment effectiveness. The outcome of dermal applications can be improved with nanofibers by modifying their structure, functionality, chemical and mechanical resistance, and additional attributes. The importance of biopolymers in processing nanofibers, nanofiber processing methods, an overview of dermal applications' significance, and dermal applications based on nanofibers will all be discussed in this review.

The effect of information seeking behaviour on trust in AI in Asia: The moderating role of misinformation concern

Public opinion on new technologies, like artificial intelligence (AI), is influenced by media coverage. However, it remains unclear as to what extent seeking news and information about AI on legacy media as opposed to social media can shape trust in AI. A cross-national survey conducted across Malaysia, Indonesia, Singapore and India investigated the impact of information seeking behaviour on trust in AI, as well as the moderating role of concern about misinformation online. Results indicate a positive relationship exists between seeking AI information on social media and trust across all countries. However, for traditional media, this association was only present in Singapore. When considering misinformation, a positive moderation effect was found for social media in Singapore and India, whereas a negative effect was observed for traditional media in Singapore. These findings have implications for the adoption of novel technologies and highlight the importance of understanding the role of media in shaping public trust.

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

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.

Mitigating Technological Anxiety through the Application of Natural Interaction in Mixed Reality Systems

Technology anxiety contributes to an increased cognitive load and reduces user adoption of novel technologies. An illustrative example of this phenomenon is observed in the field of smart homes.To address this issue, we have identified an interaction paradigm known as natural interaction, which enables humans to engage with technology in a way that closely resembles natural human behavior and communication. This approach offers more user-friendly interactions that users are already familiar with, potentially reducing their cognitive load. In this paper, we present a case study of a smart lock system where we implement natural interaction and deploy it on a mixed reality (MR) device. By leveraging advanced features offered by MR head-mounted displays, we recreate the experience of people opening locks in everyday life. We conduct a user study comparing this interaction with traditional WIMP interaction in a mixed-reality environment. Through the analysis of collected data and user feedback, we examine the advantages and limitations of our proposed system.

Innovations in Endourologic Stone Surgery: Contemporary Practice Patterns from a Global Survey.

Objective: The purpose of this study is to evaluate the current availability of technology for urolithiasis treatment and ureteroscopy (URS). Perioperative practice patterns, availability of ureteroscopic technologies, pre- and poststenting practices, and methods to alleviate stent-related symptoms (SRS) were assessed via a survey of members of the Endourological Society. Methods: We distributed a 43-question survey online via the Qualtrics platform to members of the Endourological Society. The survey consisted of questions pertaining to the following topics: general (6), equipment (17), preoperative URS (9), intraoperative URS (2), and postoperative URS (9). Results: A total of 191 urologists responded to the survey and 126 completed all questions of the survey (66%). Fifty-one percent (65/127) of urologists were fellowship trained and dedicated an average of 58% of their practice to stone management. In terms of procedures, most urologists performed URS most commonly (68%), followed by percutaneous nephrolithotomy (23%) and extracorporeal shockwave lithotripsy (11%). Ninety percent (120/133) of respondent urologists purchased a new ureteroscope within the last 5 years (16% single-use scopes, 53% reusable, and 31% purchased both). Fifty-three percent (70/132) of the respondents stated that they would be interested in a ureteroscope that can sense intrarenal pressure, with an additional 28% (37/132) stating they would be interested depending on the cost. Seventy-four percent (98/133) of responders purchased a new laser within the last 5 years, and 59% (57/97) changed their lasering technique due to the new laser. Urologists are performing primary ureteroscopy for obstructing stones in 70% of cases, and prefer prestenting patients for subsequent URS in 30% (on average after 21 days). Seventy-one percent (90/126) of responders insert a ureteral stent after uncomplicated URS, which is removed, on average, after 8 days in uncomplicated cases and 21 days after complicated URS. Most urologists give analgesics, alpha-blockers, and anticholinergics for SRS and <10% prescribe opioids. Conclusion: Our survey revealed urologists' eagerness for the early adoption of novel technologies and adherence to conservative practice patterns focused on patient safety.

Evaluation of an autonomous smart system for optimal management of fertigation with variable sources of irrigation water.

Modern irrigation technologies and tools can help boost fertigation efficiency and sustainability, particularly when using irrigation water of varying quality. In this study, a high-tech irrigation head using a new fertigation optimization tool called NutriBalance, which is designed to manage feed waters of different qualities, has been evaluated from technical and economic perspectives. NutriBalance computes the optimal fertigation dose based on specific data about the equipment, the crop, the irrigation water, and the fertilizers available, in order to enable autonomous and accurate water and fertilizer supply. The system was trialed in a grapefruit orchard irrigated with fresh and desalinated water for several values of crop nutritional requirements and considering different fertilizer price scenarios. The results showed the good interoperability between the tool and the irrigation head and the nearly flawless ability (error below 7% for most ions) of the system to provide the prescribed fertigation with different combinations of irrigation water. Fertilizer savings of up to 40% were achieved, which, for the lifespan of the equipment, were estimated to correspond to around 500 EUR/ha/year. The results of this study can encourage the adoption of novel technologies and tools by farmers.

Adoption of Novel Technologies to Boost Precision Agriculture (BPA) using Internet of Things (IOT)

Precision Farming (PF) or Precision Agriculture (PA) is a management of farming that uses modern technology to ensure that the soil gets what it needs to remain crop healthy for producing good productivity. Precision agriculture uses various ICT technologies such as Sensors, Actuators, GIS software, GPS, Variable Rate Technology, Robotics, Drone and other aerial imagery. Agriculture is important to our country’s economic structure since it provides food, raw resources, and job opportunities to a big portion of the people. Previously farmers use the traditional approaches to cultivate the crops like without use of technological advancement for cultivating the crops, that reduces the farmers yield and profit. Now a day the farmers are coming forward to convert their farms from conventional approach to smart approach by using modern technologies. By using modern technological equipments, the farmers can monitor the crop cultivation and reduce the wastage of excess amount of input to the farms. With the help of drones we can know the status of the growth and condition of the crop which is cultivated in the farm filed, it reduces the human interventions. This paper discusses about the modern technologies based on Precision methodology, components involves in IOT with sensors, field in which the Precision farming is applied, where the Internet of Things used by precision agriculture and difficulties faced by farmers.

Theories and Models of Technology Adoption in Agricultural Sector

Agriculture is crucial in catering to the increasing demand for food and employment. Thus, adoption of novel technologies is important. Many scientists have developed different theories and models explaining the process of behavioral change relevant to adoption. They are either completely different, similar, or improvements of previously developed models. Therefore, compilation and summarization of these theories and models will support future studies and researchers. Thus, an analysis of literature on technology adoption was conducted. The review was prepared based on literature from various sources spanning around 50 years. The theories and models identified by different studies were compiled and analyzed in this review paper. Many theories and models in agricultural technology adoption such as transtheoretical model, theory of reasoned action, theory of interpersonal behavior, model for innovation-decision process, different versions of technology acceptance model, theory of planned behavior, theory of diffusion of innovation, task-technology fit, technology readiness, unified theory of acceptance and use of technology, expectancy livelihood model, social cognitive theory, and perceived characteristics of innovating theory were compiled. Each theory and model has its own uniqueness, which had explained different aspects of technology adoption process and factors determining the behavioral change. These theories and models included affecting factors such as technological, personal, social, and economical factors. In conclusion, it can be stated that, rather than having a single theory or a model, an integrated and amalgamated form will be more explanatory for technology adoption.

Abstract 12802: Variation by Age in the Use of Telehealth and Remote Monitoring for Patients With Heart Failure in Urban vs. Rural Areas

Introduction: Limited access is a key challenge in the management of chronic diseases, like heart failure (HF), in rural areas. Telehealth (TH), which is the delivery of care via remote technologies, and remote monitoring (RM), which allows a patient’s implanted device to be interrogated at a distance, are potential ways to improve access. However, many older adults live in rural areas and age is negatively associated with the adoption of novel technologies. The aim of this study is to understand the association between age and use of TH and RM in urban vs. rural areas. Methods: We created annual, cross-sectional cohorts of patients with HF in each year from 2013 to 2018 with approximately 5 million patients/year by requiring ≥1 inpatient or ≥2 outpatient ICD9/10 codes for HF in the 2 years prior. TH and RM use were determined using validated ICD-9/10 and CPT codes. Rurality was determined using the Rural/Urban Commuting Areas (RUCA) classification. Multivariable, logistic regression models were used to determine the association between age and use of TH and RM in urban vs. rural areas. Results: Increasing age was associated with a decreased odds of TH use in both urban and rural areas. However, the decline in use with age was greater in urban (OR=0.41 for 85+ vs 65-69) than rural areas (OR=0.65). In contrast, increasing age was associated with an increased odds of RM in both urban and rural areas, with a larger increase with increase age in rural (OR=1.47 for 85+ vs 65-69) compared to urban areas (OR=1.35). Conclusion: TH and RM are viable ways to improve access for rural patients with HFrEF across the age spectrum. With increasing age, TH use decreases but RM increases, suggesting that patients’ ability to navigate technology plays a significant role - TH technology requires more active engagement by the patient compared to RM technology. Efforts to simplify TH technology would likely mitigate the drop in TH use seen with increasing age and improve access to care for older adults with HFrEF.

Life cycle environmental impact assessment of Taean coal power plant with CO2 capture module

To prevent the generation of pollutants and secondary pollutants owing to the adoption of novel technologies or processes including carbon capture and storage (CCS), it is necessary to characterize the environmental impact more precisely based on actual data. This study established an analysis model utilizing life cycle assessment (LCA) data at the secondary data level, based on the actual data of the Taean coal power plant in the Republic of Korea. The collected data were statistically analyzed to verify the changes in environmental impact according to operation factor, and appropriate life cycle inventories were structured to model the Taean coal power plant. From the created life cycle inventories, the modeled Taean coal power plant was firstly evaluated based on its environmental impacts. It was found that the global warming potential could be reduced by 78%, from 1.04 to 0.23 kgCO2/kWh by applying the CO2 capture module to the Taean model. It was therefore confirmed that applying the CO2 capture facility from a point emission source, such as a thermal power plant, is an effective solution to achieve targeted greenhouse gas reduction from the 2050 Low Emission Development strategy. Also, it was found that upon assessing environmental impact for application of the CO2 capture module to the coal power plant, integrating both the time horizon and country characterization factor should be considered. With the help of the precise LCA methodology, it was confirmed that application of air pollutant control and CO2 capture modules are effective solution to achieve greenhouse gas reduction with environmental regulation standards.

Sustainability transitions in coastal shipping: The role of regime segmentation

Maritime transport has received little attention in sustainability transitions research. This sector is mature and heterogeneous, which suggests the need for a more nuanced perspective on socio-technical regimes to understand variation in conditions for adoption of novel technologies that may support sustainability transitions. We consider this important in order to develop more efficient policy to decarbonize the shipping sector. We develop a framework that explicitly differentiates task and institutional environment of user regimes, enabling us to identify regime segmentation and its influence on three key transition conditions: technology maturity and fit, system integration and infrastructure, and acceptability and legitimacy. We apply our framework to analyse development and uptake of battery-electric energy storage solutions within three segments (coastal ferry, coastal fishing, and offshore supply) of Norwegian coastal shipping. Our analysis suggests that the transition process unfolds along different pathways in different user segments, pointing to a need for segment-specific policy instruments.

Anomaly Detection and Classification in Predictive Maintenance Tasks with Zero Initial Training

The Fourth Industrial Revolution has led to the adoption of novel technologies and methodologies in factories, making these more efficient and productive. Among the new services which are changing industry, there are those based on machine learning algorithms, which enable machines to learn from their past observations and hence possibly forecast future states. Specifically, predictive maintenance represents the opportunity to understand in advance possible machine outages due to broken parts and schedule the necessary maintenance operations. However, in real scenarios predictive maintenance struggles to be adopted due to a multitude of variables and the heavy customization it requires. In this work, we propose a novel framework for predictive maintenance, which is trained online to recognize new issues reported by the operators. Our framework, tested on different scenarios and with a varying number and several kinds of sensors, shows recall levels above 0.85, demonstrating its effectiveness and adaptability.

MP53-08 A QUALITATIVE ASSESSMENT OF DRIVERS, BARRIERS, AND VALUE IN ROBOTIC-ASSISTED LOWER URINARY TRACT RECONSTRUCTION

You have accessJournal of UrologyTrauma/Reconstruction/Diversion: Ureter (including Pyeloplasty) and Bladder Reconstruction (including fistula), Augmentation, Substitution, Diversion II (MP53)1 Sep 2021MP53-08 A QUALITATIVE ASSESSMENT OF DRIVERS, BARRIERS, AND VALUE IN ROBOTIC-ASSISTED LOWER URINARY TRACT RECONSTRUCTION Katerina Lembrikova, George Aninwene, Peyton Tebon, Matthew Becker, Allen Siapno, Justine Yamashiro, Erika Wood, and Renea Sturm Katerina LembrikovaKaterina Lembrikova More articles by this author , George AninweneGeorge Aninwene More articles by this author , Peyton TebonPeyton Tebon More articles by this author , Matthew BeckerMatthew Becker More articles by this author , Allen SiapnoAllen Siapno More articles by this author , Justine YamashiroJustine Yamashiro More articles by this author , Erika WoodErika Wood More articles by this author , and Renea SturmRenea Sturm More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002083.08AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Despite randomized controlled trials (RCTs) demonstrating feasibility and short-term oncologic non-inferiority of robotic radical cystectomy and urinary diversion, its superiority over the open approach has not been definitively demonstrated. The aims of this study are to identify factors influencing transition to robotic surgery and value requirements for adoption in lower urinary tract reconstruction (LUTR). METHODS: Over 300 stakeholders including physicians, administrators, and industry representatives were identified by LinkedIn, social media, references, and publications. Each was contacted with a request to participate in a structured interview including targeted questions and open-ended discussion. Interviews were conducted virtually and evaluated by a bioengineer, business professional, and urologist via a modified framework method. An initial review of interview notes identified main themes, followed by additional reviews for mapping of codes and stances across stakeholders. RESULTS: 29 urologists (17 academic, 12 non-academic), 25 device representatives, 22 administrators, 10 patients, 10 researchers, and 6 referring physicians were interviewed (n=102). Factors influencing robotic use in LUTR are illustrated (Table). Interviewees reported median procedures to achieve competence and maintain skill were 25 total (IQR 20,30) and 15 per year (10,20), respectively. Complications and readmissions were identified as the most important value requirements. When considering adoption of novel technology for LUTR, the median minimum required decrease in complications and readmissions from a patient perspective was 5% (IQR 1,5) and 1% (1,1) and for urologists was 3% (1, 15) and 8% (1,19), respectively. CONCLUSIONS: There are a range of drivers and barriers to robotics use in LUTR that may not be fully captured by RCTs. Yet, the desired end goals of decreased complications and readmissions resonated across stakeholders. Novel offerings should focus on technical aspects of the procedure that directly affect post-operative recovery beyond improvements provided by Enhanced Recovery After Surgery protocol utilization. Additionally, the perceived learning curve for robotic LUTR must be addressed to increase uptake in this space. Source of Funding: NSF Innovation Corps: #2045366 © 2021 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 206Issue Supplement 3September 2021Page: e941-e941 Advertisement Copyright & Permissions© 2021 by American Urological Association Education and Research, Inc.MetricsAuthor Information Katerina Lembrikova More articles by this author George Aninwene More articles by this author Peyton Tebon More articles by this author Matthew Becker More articles by this author Allen Siapno More articles by this author Justine Yamashiro More articles by this author Erika Wood More articles by this author Renea Sturm More articles by this author Expand All Advertisement Loading ...

Emerging simulation technologies in global craniofacial surgical training

The last few decades have seen an exponential growth in the development and adoption of novel technologies in medical and surgical training of residents globally. Simulation is an active and innovative teaching method, and can be achieved via physical or digital models. Simulation allows the learners to repeatedly practice without the risk of causing any error in an actual patient and enhance their surgical skills and efficiency. Simulation may also allow the clinical instructor to objectively test the ability of the trainee to carry out the clinical procedure competently and independently prior to trainee's completion of the program.This review aims to explore the role of emerging simulation technologies globally in craniofacial training of students and residents in improving their surgical knowledge and skills. These technologies include 3D printed biomodels, virtual and augmented reality, use of google glass, hololens and haptic feedback, surgical boot camps, serious games and escape games and how they can be implemented in low and middle income countries.Craniofacial surgical training methods will probably go through a sea change in the coming years, with the integration of these new technologies in the surgical curriculum, allowing learning in a safe environment with a virtual patient, through repeated exercise. In future, it may also be used as an assessment tool to perform any specific procedure, without putting the actual patient on risk.Although these new technologies are being enthusiastically welcomed by the young surgeons, they should only be used as an addition to the actual curriculum and not as a replacement to the conventional tools, as the mentor-mentee relationship can never be replaced by any technology.

Age Differences in State Curiosity: Examining the Role of Personal Relevance

Objectives: Curiosity, or the desire for novel information and/or experience, is associated with improved well-being and more informed decisions, which has implications on older adults’ (OAs’) adoption of novel technologies. There have been suggestions that curiosity tends to decline with age. However, it was rarely studied under specific contexts, and there were relatively limited attempts to enhance OAs’ curiosity. Under the theoretical framework of selective engagement theory, we examined age differences of curiosity in the context of learning a novel technology and investigated the moderating role of personal relevance. Method: This study utilized a pretest-posttest experimental design with a total of 50 younger adults (YAs) and 50 OAs from Hong Kong to measure their trait curiosity, perceived personal relevance, and state curiosity toward robots after interacting with a robot. Results: OAs showed significantly lower trait curiosity than YAs, but OAs showed a higher level of state curiosity toward a robot than YAs when they perceived an increase in personal relevance after interacting with the robot. Conclusion: Findings replicated previous findings that trait curiosity declined with age, but they also illustrated the distinctions between trait and state curiosity in the context of aging and highlighted the potential role of personal relevance in enhancing curiosity of OAs.