Article
Computer Science, Cybernetics
Christos Papakostas, Christos Troussas, Akrivi Krouska, Cleo Sgouropoulou
Summary: Digitalization in education is crucial, especially during the COVID-19 pandemic. Augmented Reality (AR) has the potential to benefit education in various ways. Previous research has shown that AR can enhance student learning outcomes in subjects like astronomy, biology, geometry, and physics. However, there is limited exploration of the factors influencing the acceptance of AR technology in education. This article provides valuable insights for researchers, tutors, and AR application developers regarding learners' behavioral intention to use AR in the learning process. The study is based on a modified Technology Acceptance Model and finds that the intention to use AR is influenced by factors such as quality output, perceived usefulness, perceived ease of use, and playfulness. These findings can help AR developers optimize the user experience when implementing AR technology in education.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Engineering, Industrial
Alessandro Pollini, Tiziana C. Callari, Alessandra Tedeschi, Daniele Ruscio, Luca Save, Franco Chiarugi, Davide Guerri
Summary: By conducting research in pilot healthcare organisations, this paper presents a comprehensive Human Factors approach to explore the impact of human factors on cybersecurity risks and proposes an integrated assessment methodology to measure organizations' capability to handle cyber threats.
COGNITION TECHNOLOGY & WORK
(2022)
Review
Behavioral Sciences
Bradley W. Weaver, Patricia R. DeLucia
Summary: The study found that engaging in non-driving related tasks can lead to degraded takeover performance, shorter time budgets may affect takeover performance, and current implementations of information support do not affect takeover performance. Therefore, future research and implementation should focus on providing the driver more time to take over while exploring information support.
Article
Behavioral Sciences
Behrang Keshavarz, Brandy Murovec, Niroshica Mohanathas, John F. Golding
Summary: Two studies were conducted to develop and validate a questionnaire to estimate individual susceptibility to visually induced motion sickness (VIMS). The Visually Induced Motion Sickness Susceptibility Questionnaire (VIMSSQ) was found to be a reliable tool for predicting VIMS, particularly when combined with questions about the tendency to avoid visual displays and experience syncope. The questionnaire can provide valuable information about an individual's susceptibility to VIMS based on self-reports.
Article
Ergonomics
Boniphace Kutela, Subasish Das, Bahar Dadashova
Summary: Autonomous vehicles have the potential to improve traffic safety and their involvement with vulnerable road users is a key factor.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
Article
Computer Science, Cybernetics
Jiyoung Lee
Summary: Combating the spread of misinformation on social media has always been a challenge, and understanding the effects of correction on misperception requires considering why people use social media. This study investigates different correction conditions and motivations of social media use to examine their impact on misinformation belief.
BEHAVIOUR & INFORMATION TECHNOLOGY
(2022)
Article
Behavioral Sciences
Jasmine K. Proud, Daniel T. H. Lai, Kurt L. Mudie, Greg L. Carstairs, Daniel C. Billing, Alessandro Garofolini, Rezaul K. Begg
Summary: This review aims to determine how exoskeletons can assist Australian Defence Force personnel with manual handling tasks. The findings suggest that exoskeletons mainly support squat/deadlift tasks through lower limb systems, with load carrying as the primary use case. Human-exoskeleton analysis is the most prevalent form of evaluation, with reported reductions in back muscle activation ranging from 15% to 54%. However, there are variations in exoskeleton evaluation procedures across studies, making comparisons difficult.
Article
Computer Science, Cybernetics
Fulya Acikgoz, Rodrigo Perez Vega
Summary: This study aims to understand the drivers of voice assistant usage habits by extending the Technology Acceptance Model and introducing the concept of privacy cynicism. The results suggest that ease of use and perceived usefulness positively impact attitudes towards voice assistant usage, while privacy cynicism has a negative effect. Interestingly, privacy cynicism also positively influences trust in using voice assistants, and attitudes alone do not fully explain consumers' usage habits.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2022)
Article
Computer Science, Cybernetics
Seongyune Choi, Yeonju Jang, Hyeoncheol Kim
Summary: This study investigates the factors that encourage or restrict teachers' acceptance of educational AI tools (EAIT). The results show that teachers with constructivist beliefs are more likely to integrate EAITs, and perceived usefulness, perceived ease of use, and perceived trust in EAITs are important determinants. Among them, the ease of construction of EAITs is the most influential factor predicting teachers' acceptance.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Ergonomics
Maria del Carmen Rey-Merchan, Jesus M. Gomez-de-Gabriel, Juan-Antonio Fernandez-Madrigal, Antonio Lopez-Arquillos
Summary: This article examines the limitations of monitoring safety harness usage in the workplace using Bluetooth Low Energy devices and proposes integrating other technologies to improve effectiveness.
INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS
(2022)
Article
Computer Science, Cybernetics
Eva-Maria Schomakers, Chantal Lidynia, Martina Ziefle
Summary: Digitization and smart technologies offer great benefits but raise privacy concerns. Integrating privacy concerns into acceptance research is crucial to predict user decisions. The balance between perceived benefits and privacy concerns is key to technology acceptance.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2022)
Article
Computer Science, Cybernetics
Yunju Kim, Heejun Lee
Summary: This study explores motives for and consequences of watching 360-degree VR art using the uses and gratifications (U&G) approach. The identified motives include pursuing learning from entertainment, social conformity, and convenience. It was found that pursuing learning from entertainment is the most significant factor influencing audiences' transportation experience while watching 360-degree VR art.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2022)
Article
Computer Science, Cybernetics
Seyedeh Khadijeh Taghizadeh, Syed Abidur Rahman, Davoud Nikbin, Mirza Mohammad Didarul Alam, Lidia Alexa, Choo Ling Suan, Shirin Taghizadeh
Summary: This study integrates different theories to explore the factors affecting students' satisfaction with online learning, the relationship between satisfaction and continuance usage intention, and the role of self-quarantine during a pandemic. The results show that satisfaction significantly influences students' continuance usage intention in all samples, with varying factors affecting satisfaction in each sample.
BEHAVIOUR & INFORMATION TECHNOLOGY
(2022)
Article
Ergonomics
Shuai Su, Wentao Liu, Qingyang Zhu, Ruoqing Li, Tao Tang, Jidong Lv
Summary: This paper proposes a train collision-avoidance control strategy based on predicted trajectory, which is achieved through the introduction of a cooperative control model and the Deep-Q-Network algorithm. Experimental simulations demonstrate that the proposed approach can significantly reduce the minimum following distance between adjacent trains compared to the absolute distance braking mode, while ensuring safety.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
Article
Computer Science, Cybernetics
Deepak Kapgate
Summary: This study aimed to assess the feasibility of hybrid SSVEP + P300 visual BCI systems for quad-copter flight control, which outperformed existing BCI-based systems in controlling flight direction effectively but had slightly lower performance efficiency compared to commercial keyboard flight control systems.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2022)
Article
Computer Science, Cybernetics
Khai Wah Khaw, Alhamzah Alnoor, Hadi Al-Abrrow, XinYing Chew, Abdullah Mohammed Sadaa, Sammar Abbas, Zeeshan Zaib Khattak
Summary: As mobile commerce usage continues to rise globally, trust remains a challenge. This study provides valuable insights for mobile commerce firms to develop effective plans by analyzing the determinants of trust using a hybrid approach.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2022)
Article
Engineering, Industrial
Dedy Ariansyah, John Ahmet Erkoyuncu, Iveta Eimontaite, Teegan Johnson, Anne-Marie Oostveen, Sarah Fletcher, Sarah Sharples
Summary: This study investigates the impact of different AR modalities on user performance and usability during maintenance assembly tasks. The results show that 3D animation leads to a 14% improvement in task completion time compared to video instructions. Insights from eye gaze behaviors reveal differences in attention switching and task comprehension difficulty with the choice of AR modalities.
APPLIED ERGONOMICS
(2022)
Article
Ergonomics
Katharina F. Pfaffinger, Julia A. M. Reif, Erika Spiess
Summary: This article examines the effects of specific ICT demands (telepressure, technostress creators) on employee well-being and explores the role of detachment (Study 1) and technostress inhibitors (Study 2) in mediating/moderating these effects. Three quantitative studies were conducted involving employees (Study 1, N = 296; Study 2, N = 142; Study 3, N = 316). The results demonstrate the negative impact of ICT demands on various well-being indicators, highlight the mediating effect of detachment on the relationship between telepressure and well-being, and reveal the moderating effect of technostress inhibitors on the relationship between technostress creators and well-being.
INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS
(2022)
Article
Ergonomics
Yongkui Sun, Yuan Cao, Peng Li
Summary: This paper proposes a non-contact fault diagnosis method for train plug doors based on sound signals. The method utilizes empirical mode decomposition and signal reconstruction to process raw sound signals. It also introduces the concept of fractional calculus and weight to develop a novel feature named weighted fractional wavelet packet decomposition energy entropy. The proposed method achieves the best accuracy of 97.87% in fault diagnosis of train plug doors, as verified through field-collected data and compared with different fault diagnosis methods.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
Article
Ergonomics
Xiaomeng Dong, Kun Xie, Hong Yang
Summary: Risky driving behaviors such as speeding and failing to signal have increased during the COVID-19 pandemic, resulting in higher rates of severe crashes. This study investigates the impact of the pandemic on the likelihood of severe crashes by analyzing changes in driving behaviors. The findings suggest that aggressiveness and inattentiveness of drivers have significantly increased after the outbreak of COVID-19, leading to a higher likelihood of severe crashes.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
