Technology Familiarity Research Articles

THE EFFECTIVENESS OF DIGITAL COMMUNICATION IN DELIVERING MESSAGES TO GENERATION Z IN THE COUNSELING PROCESS(A Study of Family Planning Counselors in Tanggamus Regency, Lampung)

The rapid advancement of the digital era has significantly influenced social activities, particularly in information and communication technology, which now encompasses visual, audio, and audiovisual formats. Family Planning Counselors serve as the frontline representatives of the National Population and Family Planning Board, and their counseling activities must adapt creatively to current trends to effectively engage their target audience. Conventional communication methods have proven less effective and appealing to Generation Z, who perceive them as monotonous and unengaging. Thus, this study aims to explore the effectiveness of digital communication in delivering messages to Generation Z.This research applies the conventional-interactional theory as a framework. Data collection techniques include field observations, interviews with key informants, and documentation of research findings. The results indicate that digital communication surpasses traditional methods in terms of communication design, message quality, time efficiency, and overcoming spatial limitations. Through digital platforms, Family Planning Counselors can deliver messages more effectively on a large scale, aligning with the evolving preferences and technological familiarity of Generation Z

A Study on Bike Share Analysis

This study explores the role of bike-sharing programs within urban mobility and the potential impacts of autonomous vehicles (AVs) on cyclists' safety perceptions and behaviour. The research focuses on analysing factors that influence the adoption of bike-sharing services, including safety perceptions, AV technology familiarity, and demographic characteristics. Using tools like MS Excel and statistical models such as multiple regression and logistic regression, the study examines patterns in bike-sharing usage, public attitudes toward AVs, and the implications of AV testing on public streets. Findings suggest that factors like age, perceived safety, and AV familiarity significantly influence bike-sharing behaviour. The study recommends enhanced infrastructure, integration with public transit, and data-driven insights to improve bike-sharing systems and promote safer interactions with AVs

Uncovering pathways towards sustainable transportation: Investigating factors influencing societal acceptance of end-of-life vehicle management in Indonesia.

Addressing the critical environmental challenge of end-of-life vehicle (ELV) management in Indonesia's transportation industry, this study investigates the complex interplay between societal factors and technical adoption. We use a comprehensive survey and path analysis to investigate the relationships between demographic characteristics (gender, age, income and education) and ELV acceptance, revealing complex preferences and concerns across several population groups. Comparative analyses with previous research reveal gender-specific inequities and age-related problems, emphasizing the importance of customized measures. Our findings indicate that environmental concerns exhibit a significant positive relationship with community acceptance (path coefficient = 0.426, p < 0.001). Moreover, technological familiarity (path coefficient = 0.352, p < 0.001) and infrastructure availability (path coefficient = 0.518, p < 0.001) demonstrate noteworthy positive associations, emphasizing the role of knowledge and accessible infrastructure in promoting acceptance. Conversely, the cost of adoption exhibits a negative relationship with societal acceptance (path coefficient = -0.269, p < 0.001), suggesting potential challenges that must be addressed. Mediation analysis uncovers the mediating roles of information exposure, perceived safety, as well as convenience and accessibility. Total effects analysis validates the collective influence of crucial factors while acknowledging the potential hindrance posed by the cost of adoption. Our findings contribute to inclusive policies and initiatives for sustainable ELV practices, offering insights to address a critical environmental issue in Indonesia. Although acknowledging limitations in scope and methodology, our research advances the discourse on sustainable transportation transitions and guides strategies to promote responsible ELV management in pursuing a greener and more socially equitable future.

Reflecting on the Implementation of Online English Learning in Islamic Higher Education

The penetration of technology into education has rebounded since the emergence of the COVID-19 pandemic era, especially in bridging the practice of online learning in schools and universities. Reflecting on the practice of online learning, teachers and students give various perceptions. Some benefits and obstacles are mentioned. This descriptive study focused on investigating the perception of lecturers and students toward online language learning in Islamic higher education. The data were collected from teachers and students in three Islamic Higher Education, namely the State Islamic Institute of Palopo, the State Islamic Institute of Bone, and the State Islamic University of Makassar. The questionnaire was used to collect data from 12 lecturers and 86 students participating. In contrast, the interview was used to gain more profound information about the lecturers’ experience and opinions about implementing online learning. From both the questionnaire and the interview, the writers concluded that Lecturers and students in Islamic higher education in South Sulawesi have a positive view of online EFL learning. They value the flexibility, access to resources, and networking opportunities it provides. Students appreciate the ability to manage their learning independently, connect with diverse learners, and engage with various language aspects. However, there's a need for improvements in technology familiarity, stable internet access, access to online learning equipment, and pedagogical training for lecturers to enhance the online learning experience further.

Virtual Journeys, Real Engagement: Analyzing User Experience on a Virtual Travel Social Platform

A sustainable smart tourism ecosystem relies on building digital networks that link tourists to destinations. This study explores the potential of web and immersive technologies, specifically the Virtual Romania (VRRO) platform, in enhancing sustainable tourism by redirecting tourist traffic to lesser-known destinations and boosting user engagement through interactive experiences. Our research examines how virtual tourism platforms (VTPs), which include web-based and immersive technologies, support sustainable tourism, complement physical visits, influence user engagement, and foster community building through social features and user-generated content (UGC). An empirical analysis of the VRRO platform reveals high user engagement levels, attributed to its intuitive design and interactive features, regardless of the users’ technological familiarity. Our findings also highlight the necessity for ongoing enhancements to maintain user satisfaction. In conclusion, VRRO demonstrates how accessible and innovative technologies in tourism can modernize travel experiences and contribute to the evolution of the broader tourism ecosystem by supporting sustainable practices and fostering community engagement.

Exploring behaviour-intention gaps to explain low retention in a community-based video-conferencing intervention for depression: lessons for researchers using technology as interventions

Purpose This paper aims to reflect on the outcomes of a community-based video-conferencing intervention for depression, predating the COVID-19 pandemic. The study investigates the potential implications of its findings for enhancing adherence to digital mental health interventions. The primary objective is to present considerations for researchers aimed at minimising the intention-behaviour gap frequently encountered in digital mental health interventions. Design/methodology/approach A randomised control feasibility trial design was used to implement a telehealth model adapted from an established face-to-face community-based intervention for individuals clinically diagnosed with depression. In total, 60 participants were initially recruited in association with a local mental health charity offering traditional talking-based therapies with only eight opting to continue through all phases of the project. Modifications aligning with technological advancements were introduced. Findings However, the study faced challenges, with low uptake observed after an initial surge in recruitment interest. The behaviour-intention gap highlighted technology as a barrier to service accessibility, exacerbated by participant age. Furthermore, the clinical diagnosis of depression, characterised by low mood and reduced interest in activities, emerged as a potential influencing factor. Research limitations/implications The limitations of the research include its pre-pandemic execution, during a nascent stage of technological mental health interventions when participants were less familiar with online developments. Practical implications Despite these limitations, this study's reflections offer valuable insights for researchers aiming to design and implement telehealth services. Addressing the intention-behaviour gap necessitates a nuanced understanding of participant demographics, diagnosis and technological familiarity. Social implications The study's relevance extends to post-pandemic society, urging researchers to reassess assumptions about technology availability to ensure engagement. This paper contributes to the mental health research landscape by raising awareness of critical considerations in the design and implementation of digital mental health interventions. Originality/value Reflections from a pre-pandemic intervention in line with the developments of a post-pandemic society will allow for research to consider that because the technology is available does not necessarily result in engagement.

An Empirical Evaluation of a Generative Artificial Intelligence Technology Adoption Model from Entrepreneurs’ Perspectives

Technologies, such as Chat Generative Pre-Trained Transformer (ChatGPT), are prime examples of Generative Artificial Intelligence (AI), which is a constantly evolving area. SMEs, particularly startups, can obtain a competitive edge, innovate their business models, gain business value, and undergo a digital transformation by implementing these technologies. Continuous but gradual experimentation with these technologies is the foundation for their adoption. The experience that comes from trying new technologies can help entrepreneurs adopt new technologies more strategically and experiment more with them. The urgent need for an in-depth investigation is highlighted by the paucity of previous research on ChatGPT uptake in the startup context, particularly from an entrepreneurial perspective. The objective of this research study is to empirically validate the Generative AI technology adoption model to establish the direction and strength of the correlations among the adoption factors from the perspectives of the entrepreneurs. The data are collected from 482 entrepreneurs who exhibit great diversity in their genders, the countries in which their startups are located, the industries their startups serve, their age, their educational levels, their work experience as entrepreneurs, and the length of time the startups have been on the market. Collected data are analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique, which results in a statistical examination of the relationships between the adoption model’s factors. The results indicate that social influence, domain experience, technology familiarity, system quality, training and support, interaction convenience, and anthropomorphism are the factors that impact the pre-perception and perception phase of adoption. These factors motivate entrepreneurs to experiment more with the technology, thereby building perceptions of its usefulness, perceived ease of use, and perceived enjoyment, three factors that in turn affect emotions toward the technology and, finally, switching intentions. Control variables like age, gender, and educational attainment have no appreciable effect on switching intentions to alternatives of the Generative AI technology. Rather, the experience factor of running businesses shows itself to be a crucial one. The results have practical implications for entrepreneurs and other innovation ecosystem actors, including, for instance, technology providers, libraries, and policymakers. This research study enriches the Generative AI technology acceptance theory and extends the existing literature by introducing new adoption variables and stages specific to entrepreneurship.

Virtual Reality–Based Neurorehabilitation Support Tool for People With Cognitive Impairments Resulting From an Acquired Brain Injury: Usability and Feasibility Study

Background Acquired brain injury (ABI) is a prominent cause of disability globally, with virtual reality (VR) emerging as a promising aid in neurorehabilitation. Nonetheless, the diversity among VR interventions can result in inconsistent outcomes and pose challenges in determining efficacy. Recent reviews offer best practice recommendations for designing and implementing therapeutic VR interventions to evaluate the acceptance of fully immersive VR interventions. Objective This study aims to evaluate the usability and feasibility of a co-designed VR-based neurorehabilitation support tool by conducting multiple proof-of-concept trials in a sample of patients with ABI within a hospital setting. Methods A single session deploying custom immersive serious games to train cognitive functions using a new-generation head-mounted display was conducted among a sample of inpatients with ABI. Structured questionnaires were administered at the end of the session to evaluate the usability of the system and the intervention, participants’ familiarity with the technology, and any adverse effects related to cybersickness. Additionally, the training duration while wearing the headset and the demographic characteristics of the participants were considered. Results A total of 20 patients with ABI participated in a 1-hour proof-of-concept trial. The mean usability score was 37 (SD 2.6) out of 40, the technology familiarity level was 9.2 (SD 2.9) out of 12, and the Simulator Sickness Questionnaire total score was 1.3 (SD 2). On average, participants wore the headset for approximately 25.6 (SD 4.7) minutes during the intervention. There were no substantial differences in usability and technology familiarity levels based on patients’ etiology or age, with no notable symptoms of cybersickness reported. Significantly strong correlations were noted between cybersickness symptoms and various usability categories, including exposure, motivation, interactivity, task specificity, and immersion aspects. Further, there was a significant association between the intervention time and the number of tasks performed (P&lt;.001). Furthermore, patients who derived enjoyment from VR sessions expressed a heightened interest in incorporating VR into their daily neurorehabilitation practice (P&lt;.001). Moreover, oculomotor issues were found to be highly sensitive to the onset of disorientation sickness symptoms (P&lt;.001). Conclusions Through a collaborative approach, this study showcases the usability and feasibility of a VR-based support tool for cognitive rehabilitation among inpatients with ABI. Key components of such interventions encompass a multidisciplinary array of immersive experiences integrating neurorehabilitation principles and serious games techniques.

Perceptions of vulnerable roadway users on autonomous vehicle regulations

Introduction: Development and implementation of autonomous vehicle (AV) related regulations are necessary to ensure safe AV deployment and wide acceptance among all roadway users. Assessment of vulnerable roadway users’ perceptions on AV regulations could inform policymakers the development of appropriate AV regulations that facilitate the safety of diverse users in a multimodal transportation system. Method: This research evaluated pedestrians’ and bicyclists’ perceptions on six AV regulations (i.e., capping AV speed limit, operating AV in manual mode in the sensitive areas, having both pilot and co-pilot while operating AVs, and three data-sharing regulations). In addition, pedestrians’ and bicyclists’ perceptions of testing AVs in public streets were evaluated. Statistical testing and modeling techniques were applied to accomplish the research objectives. Results: Compared to the other AV regulations assessed in this research, strong support for AV-related data sharing regulations was identified. Older respondents showed higher approval of AV testing on public roadways and less support for regulating AVs. AV technology familiarity and safe road sharing perceptions with AVs resulted in lower support for AV regulations. Conclusions: Policymakers and AV technology developers could develop effective educational tools/resources to inform pedestrians and bicyclists about AV technology reliability and soften their stance, especially on AV regulations, which could delay technology development. Practical Applications: The findings of this research could be used to develop informed AV regulations and develop policies that could improve pedestrians’ and bicyclists’ attitudes/perceptions on regulating AVs and promoting AV technology deployments.

Gen Z: From Familiarity in Operating Digital Platforms into the Intention of Continuance Purchasing Online F&amp;B Products

The purpose of this paper is to analyze the relationship between Gen Z’s technology familiarity and their continuance intention of purchasing online F&amp;B products, in which this relationship is potentially influenced by their behavior as consumer. Here, online F&amp;B products are those which are sold in GoFood, GrabFood, and other food delivery applications and online retailers that exist in Indonesia. Data were collected through online survey using structured questionnaires to Indonesian Gen Z, especially with those who previously have experience in using food delivery apps or simply buying F&amp;B products from online retailers. Then, data were analyzed using quantitative analysis, structured equation modeling. Gen Z consumer behavior mediates the technology familiarity with continuance intention. Technology familiarity is impactful towards consumer behavior and consumer behavior is impactful towards continuance intention. In order for an online food and beverage business to thrive, owners must adjust to the consumer’s capability of using their service as technology familiarity indirectly impacts continuance intention.

The Use of Online Medical Record Functionalities in Older Adulthood: The Role of Use Encouragement and Access Frequency

This study aimed at predicting the use of online medical record functionalities in later life. Frequency of accessing the record and the encouragement to use it by healthcare provider served as the main predictors. The study’s theoretical framework was comprised of the facilitating conditions and the technology familiarity approaches . The data were obtained from the Health Information National Trends Survey and analyzed using logistic regression models. The sample included Internet users aged 60 years or older who accessed their online medical records at least once during the year prior to the survey (N = 623). The results show an interaction between access frequency and use encouragement concerning the use of online medical record for looking up test results and securely messaging healthcare providers. In both cases, the effect of the use encouragement was more pronounced in frequent than in non-frequent users. Access frequency and use encouragement were each positively associated with using online medical record for downloading personal health information. The results suggest that both studied factors are important for understanding online medical record use in older adulthood, therefore supporting each theoretical approach employed. In addition, the results underscore a differential role the use encouragement plays for older frequent and non-frequent online medical record users.

Older Adults' Perceptions of the Technology Influence on Interpersonal Communication: A Cross-Sectional Study.

This study aimed to understand the association between the online experience of older adults, their socio-demographic background, and their perceptions regarding the influence of the new technologies on their interpersonal communication. Technology familiarity and grey digital divide approaches served as the study's theoretical framework. The data were obtained from the 2020 Israel Social Survey and analyzed using multinomial logistic regression models. The sample included adults aged 60 years and older (N = 1,607). The findings show that online group participation and general Internet use, though to a varying extent, corresponded to more positive perceptions of influence of the new technologies on both family and peer communication. Female gender, tertiary education, and belonging to ethnic majority group were associated with more positive perceptions in the studied context. The results imply that online experience of older adults is more dominant than their background with respect to perceptions regarding the influence of new technologies on interpersonal communication. The findings imply that older adults should engage in various activities on the Internet, especially in the online group participation, in order to have better perceptions regarding the new technology influence on interpersonal communication.

Health Technology Readiness amongst Patients with Suspected Breast Cancer Using the READHY-tool - a Cross-sectional Study

Information technologies are increasingly used when informing patients about their disease, treatment and prognosis. These digital platforms have many advantages compared to traditional education interventions. However, there are concerns that some patients may have difficulty with this mode of information delivery. Newly diagnosed breast cancer patients are dependent on understanding their treatment options to make informed treatment decisions. Yet, there is a lack of published material on breast cancer patients and their relationship with technology. We aimed to assess health technology readiness profiles amongst women with a suspected breast cancer diagnosis. Secondly, we wanted to investigate the potential differences between these profiles according to sociodemographic factors and the patients´ current use of technology. This cross-sectional study used the Readiness and Enablement Index for Health Technology (READHY) questionnaire. We included all patients (n = 92) referred to our department with suspected breast cancer. Cluster analysis revealed three distinct profiles: medium (n = 54), high (n = 18), and low (n = 20) health technology readiness. The third profile showed difficulties in health literacy, eHealth literacy, and health insights, along with higher emotional stress. Our study found that most patients had medium to high health technology readiness, but we also identified a group with lower health technology readiness. Based on our results, healthcare personnel dealing with women with suspected breast cancer should be aware of patients struggling with health technology. Age and technology familiarity may indicate vulnerable patients. Future studies should explore optimal methods for information delivery to these distinct profiles and evaluate the long-term impacts.

Who to sacrifice? Modeling the driver’s dilemma

The “driver’s dilemma” presents an ethical conundrum in Highly Automated Vehicles (HAVs), where a decision is made between saving ten pedestrians or the vehicle’s passengers in life-or-death situations. This study delves into the driver’s dilemma by assessing respondents’ beliefs on whether passengers should be sacrificed to save pedestrians, as well as their willingness to purchase such vehicles. We conducted an original survey that collected approximately 7,000 responses, taking into account factors such as ethical identities, technology familiarity, and practical HAV benefits. Using structural equation models, our findings emphasize the driver’s dilemma, with utilitarianism and co-ridership significantly affecting the decision. Altruists generally favor saving pedestrians; however, altruistic individuals who believe that saving family members in vehicles over ten pedestrians is ethical are more inclined to purchase HAVs that prioritize their family members’ safety, even if it means sacrificing pedestrians. Nonetheless, the majority view protecting pedestrians as the ethical choice, and our results indicate that a social consensus on pedestrian safety could encourage the adoption of ethical HAVs. Our study underlines the need to balance individual preferences with socially desirable outcomes in HAV policy.

Exploring the Determinants of Travelers’ Intention to Use the Airport Biometric System: A Korean Case Study

After the pandemic, there has been an increasing emphasis on customer convenience, with biometrics emerging as a key solution. This study empirically investigates the intention of Korean travelers to use airport biometric systems. The technology acceptance model (TAM) was employed to explore users’ perceptions of the system’s functional aspects, while technology familiarity, social influence, and trust in information protection were integrated into the model to understand users’ psychological aspects. The results reveal that perceived usefulness and ease of use have a positive relationship with the intention to use the biometric system and that perceived ease of use positively influences perceived usefulness. The impact of social influence and technology familiarity was not statistically significant but trust emerged as the most influential factor determining the intention to use the system. Furthermore, the study identified that gender moderates the effect of trust on the intention to use. This study contributes by identifying key determinants for airport biometric system adoption and by investigating the moderating influence of gender. As a primary result, airport biometric systems must have effective functionality and a user-friendly passenger environment while ensuring confidence in system security. These findings have significant implications for the sustainable implementation of airport biometric systems.

Mobile software aids for people with low vision

The usage of smartphones is increasingly widespread, and the usefulness of mobile applications as low-vision aids is evident but not thoroughly examined. In this study, we surveyed people with low vision to assess the usability of common, preloaded mobile applications, to evaluate the usage of typical assistive technologies of smartphones, and to measure the usefulness, and usability of recent software advancements that can be used as visual aids. We invited 134 low-vision individuals to participate, and 45 of them met the eligibility criteria and completed an in-person survey. The eligibility criteria were as follows: aged 18 years or older and mentally competent, visual acuity worse than 0.4 logMAR with best-corrected glasses in the better-seeing eye, ownership of a smartphone and familiarity with visual assistive technologies. All testing scenarios were carried out using the participants' smartphones, either with Android or iOS operating systems. Participants reported the usefulness and ease of use for common visual display enhancements (i.e., text size, bold text, increased contrast, inverted colors, and dark mode), audio feedback capabilities, four primary preloaded apps (Dialer, Clock, Calculator, and Calendar), and four usage scenarios that serve as low-vision aids (magnify with camera, hard-copy text-to-speech, voice typing, and voice commands). Participants also indicated whether they could use the apps or execute the scenarios independently. The Dialer and Clock apps, text enhancements, camera magnification, and voice typing were rated as highly useful, while the Calendar application received lower ratings. Most of the selected apps or services were rated as easy to use, with lower ratings recorded for the Calendar and Select to Speak ones. Considering the positive results across all options, this collection of apps and services proved useful for all age groups, regardless of gender, technological familiarity, or education. The feedback received in this study can help towards improving the everyday lives of low-vision people as well as informing the design of apps and assistive features, guiding future research and development to enhance visual accessibility on mobile computing devices.

Institutional behavior mechanism: Exploring the impacts of macro-environmental stimuli on continued digital payment adoption behavior

Though we acknowledge the established knowledge structure of digital payment adoption, the current literature still falls short in capturing the underlying motives and mechanisms driving digital payment adoption across all scenarios. To address this gap, we employed a comprehensive moderated mediation approach, arguing that an institutional behavior mechanism may account for the impact of both macro-environmental stimuli, namely digital economy ecosystem advancement and digital culture exposure, on continued digital payment adoption behavior. Moreover, we presume these impacts might strengthen as individuals' digital technology familiarity increases. We engaged 1144 active digital payment users from Taiwan to estimate the model and analyze the data using PLS-SEM. The findings revealed that the two macro-environmental stimuli significantly enhance continued digital payment adoption behavior. Subsequently, we demystified the crucial role of individuals’ perceived institutionalization of digital payment usage in amplifying these stimuli on continued digital payment adoption behavior. However, these stimuli weaken as their familiarity with digital technologies increases.

ChatGPT's influence on customer experience in digital marketing: Investigating the moderating roles

ChatGPT is an artificial intelligence model intended for conversational purposes that has grown in popularity in digital marketing, offering organizations a vital tool for engaging with clients and enhancing their marketing efforts. The main objective of this research is to investigate the impact of ChatGPT on the customer experience in digital marketing. Additionally, the study intends to investigate the moderating impacts of business type and technology familiarity and comfort on the customer experience. Furthermore, the research explores the moderating roles of gender, age, and education level. The data for this study were collected electronically from 394 clients who have interacted with ChatGPT in digital marketing using an open-access questionnaire. The results support the significance of the moderating role of (Familiarity and Comfort with Technology, Business Type, Age, and Education level on the relation between customer experience with ChatGPT and overall satisfaction with digital marketing, while Gender is not supported. This article's findings are intended to contribute to the current literature on the use of conversational AI models in digital marketing and customer experience, providing insights and recommendations for future research.

Developing a profile of medium- and heavy-duty electric vehicle fleet adopters with text mining and machine learning

The transportation sector must rapidly decarbonize to meet its emissions reduction targets. Medium- and heavy-duty decarbonization is lagging the light-duty sector due to technical and operational challenges and the choices made by medium- and heavy-duty fleet operators. Research investigating the procurement considerations of fleets has relied heavily on interviews and surveys, but many of these studies suffer low rates of participation and are difficult to generalize. To model fleet operators’ decision-making priorities, we apply a robust text analysis approach based on latent Dirichlet allocation to a broad corpus of fleet adoption studies. We find operational compatibility to be the most salient factor, followed by long-term economics, technological familiarity, and perceived reliability.

Positive psychology interventions for family caregivers coping with cancer: Who will use them?

Positive psychology-based (PPB) activities have been under-researched in cancer caregiving. This study investigated caregiver: (1) attitudes toward using PPB activities while caregiving; and (2) characteristics associated with these attitudes. Secondary analyses of a cross-sectional survey were conducted in a national caregiver sample of hematopoietic cell transplant (HCT) patients. Survey items assessed caregivers' likelihood of engaging in six PPB activities. Hierarchical regression was performed and potential predictors of PPB activity use (e.g., technology familiarity, coping style, caregiving duration) were examined. Most of the N = 948 respondents were White (78.9%), female (65.5%), married (86.7%), employed (78.4%), and college-educated (79.8%). Caregivers favorably disposed to positive activities were younger and female, provided care for 6-12months and >40h/week, and used coping styles involving religion and social support. Our findings provide guidance for development and testing of PPB activities for cancer caregivers.