Interactive Feedback Research Articles

Arctic freshwater outflow suppressed Nordic Seas overturning and oceanic heat transport during the Last Interglacial

The Last Interglacial period (LIG) was characterized by a long-term Arctic atmospheric warming above the preindustrial level. The LIG thus provides a case study of Arctic feedback mechanisms of the cryosphere-ocean circulation-climate system under warm climatic conditions. Previous studies suggested a delay in the LIG peak warming in the North Atlantic compared to the Southern Ocean and evoked the possibility of southward extension of Arctic sea ice to the southern Norwegian Sea during the early LIG. Here we compile new and published proxy data on past changes in sea ice distribution, sea surface temperature and salinity, deep ocean convection, and meltwater sources based on well-dated records from the Norwegian Sea. Our data suggest that southward outflow of Arctic freshwater supressed Nordic Seas deep-water formation and northward oceanic heat transport during the early LIG. These findings showcase the complex feedback interactions between a warming climate, sea ice, ocean circulation and regional climate.

Applying Systems Thinking to Sustainable Beef Production Management: Modeling-Based Evidence for Enhancing Ecosystem Services

We used systems thinking (ST) to identify the critical components of beef cattle production through the lens of ecosystem services (ES), offering a holistic approach to address its adverse externalities. We identified eight critical feedback loops in beef production systems: (i) grazing and soil health, (ii) manure management and soil fertility, (iii) feed efficiency and meat production, (iv) water use and soil moisture, (v) cultural services and community engagement, (vi) energy use, (vii) carbon sequestration and climate regulation, and (viii) environmental impact. Our analysis reveals how these interconnected loops influence each other, demonstrating the complex nature of beef production systems. The dynamic hypothesis identified through the loops indicated that improved grazing and manure management practices enhance soil health, leading to better vegetation growth and cattle nutrition, which, in turn, have a positive impact on economic returns to producers and society, all of which encourage the continuation of interlinked beef and ecosystem stewardship practices. The management of beef production ES using ST might help cattle systems across the globe to contribute to 9 of the 17 different United Nations’ Sustainable Development Goals, including the “zero hunger” and “climate action” goals. We discussed the evaluation framework for agrifood systems developed by the economics of ecosystems and biodiversity to illustrate how ST in beef cattle systems could be harnessed to simultaneously achieve the intended environmental, economic, social, and health impacts of beef cattle systems. Our analysis of the literature for modeling and empirical case studies indicates that ST can reveal hidden feedback loops and interactions overlooked by traditional practices, leading to more sustainable beef cattle production outcomes. ST offers a robust framework for enhancing ES in beef cattle production by recognizing the interconnectedness of ecological and agricultural systems, enabling policymakers and managers to develop more effective and sustainable strategies that ensure the long-term health and resilience of humans and ES.

Home-based guidance training system with interactive visual feedback using kinect on stroke survivors with moderate to severe motor impairment

The home-based training approach benefits stroke survivors by providing them with an increased amount of training time and greater feasibility in terms of their training schedule, particularly for those with severe motor impairment. Computer-guided training systems provide visual feedback with correct movement patterns during home-based training. This study aimed to investigate the improvement in motor performance among stroke survivors with moderate to severe motor impairment after 800 min of training using a home-based guidance training system with interactive visual feedback. Twelve patients with moderate to severe stroke underwent home-based training, totaling 800 min (20–40 min per session, with a frequency of 3 sessions per week). The home-based guidance training system uses Kinect to reconstruct the 3D human body skeletal model and provides real-time motor feedback during training. The training exercises consisted of six core exercises and eleven optional exercises, including joint exercises, balance control, and coordination. Pre-training and post-training assessments were conducted using the Fugl-Meyer Assessment-Upper Limb (FMA-UE), Fugl-Meyer Assessment-Lower Limb (FMA-LE), Functional Ambulation Categories (FAC), Berg Balance Scale (BBS), Barthel Index (BI), Modified Ashworth Scale (MAS), as well as kinematic data of joint angles and center of mass (COM). The results indicated that motor training led to the attainment of the upper limit of functional range of motion (FROM) in hip abduction, shoulder flexion, and shoulder abduction. However, there was no improvement in the active range of motion (AROM) in the upper extremity (U/E) and lower extremity (L/E) joints, reaching the level of the older healthy population. Significant improvements were observed in both left/right and superior/inferior displacements, as well as body sway in the mediolateral axis of the COM, after 800 min of training. In conclusion, the home-based guidance system using Kinect aids in improving joint kinematics performance at the level of FROM and balance control, accompanied by increased mediolateral body sway of the COM for stroke survivors with moderate to severe stroke. Additionally, spasticity was reduced in both the upper and lower extremities after 800 min of home-based training.

Academic Opportunities of Gamification at University

Gamification is a powerful tool of modern education, but its successful implementation requires careful planning that takes into account the academic context and the individual needs of students. The authors tested a new narrative model of gamification, which integrated game elements and storylines to create a more interactive and motivating learning environment. The model involved stories and scenarios that linked various tasks and activities to immerse students in professionally relevant situations. The model was based on gamification principles, game mechanics, interactive tasks, social interaction, and adaptive feedback. The narrative contextualized learning, thus enhancing students’ engagement, motivation, and professional identity. The experiment (September-December 2023) gamified a course of Professional Ethics and involved first-year students of Clinical Psychology (n = 31), Voino-Yasenetsky Krasnoyarsk State Medical University. The narrative model of gamification fostered a more positive attitude towards the future profession, increased students’ engagement, and enhanced their interest in the academic process. Storylines, roles, personages, problematic situations, and unpredictability ensured students’ deep immersion in professional situations and contributed to the development of important ethical and professional qualities. Gamification has a great potential for improving the quality of higher education, making the learning routine more exciting and effective.

Benefits of virtual reality training for cardiopulmonary resuscitation skill acquisition and maintenance.

To investigate the benefits of virtual reality (VR) first-aid training in acquiring cardiopulmonary resuscitation (CPR) skills. A total of 100 non-medical professional volunteers from Nanchang were selected in March 2021 using the convenience sampling method. They were randomly divided into two groups: the VR training group (VR group) and the traditional simulation scenario training group (traditional group). The VR Group underwent immersive virtual reality CPR training with interactive feedback, while the Traditional Group received standard simulation-based CPR training using mannequins and instructor guidance. After training, relevant data were collected for comparative analysis. The study revealed that the VR group consistently outperforming the traditional group in theoretical knowledge test (cardiac arrest recognition, chest compressions, airway management, and artificial respiration) scores at 1, 3, 6, and 12 months post-training (P < 0.05). Similarly, the VR group showed superior performance in overall skills test scores and individual CPR quality metrics at all post-training assessments. The VR group scored higher in total skills, assessment, post-resuscitation assessment, chest compressions (at 1, 3, and 6 months), airway opening, and artificial respiration compared to the traditional group (P < 0.05). Despite these findings, both groups exhibited a gradual decrease in skills test scores over time. Virtual reality training can significantly improve non-medical professional volunteers' CPR knowledge and skill levels, helping them master and maintain these competencies. However, a decrease in CPR knowledge and skills among the participants over time was observed after VR training, suggesting the need for further retraining sessions.

Multimodal Feedback to Improve Performance of Order Picker Truck Drivers Using a Virtual Reality Simulator

VR technology presents exciting prospects for immersive forklift training environments. VR facilitates hands-on learning without the risks of real world errors. Real-time multimodal feedback (such as visual and haptic) is an effective way to enhance learning outcomes and skill acquisition. However, the efficacy and usability of real-time multimodal feedback provided for VR-based forklift driving needs to be investigated, as its impact on training outcomes remains unexplored. We aim to understand how various feedback modalities influence task performance, perceived workload, and user preferences. Fifteen (3 female, 12 male) individuals participated and completed VR-based forklift driving tasks with four feedback conditions (No feedback, visual, haptic, combined visual and haptic). A significant main effect of Feedback was found for completion time. Mental demand and frustration were affected by the Sex and Feedback interaction. These differences in the perception of feedback modalities underscore the importance of considering diverse user demographics when designing feedback systems.

The Role of ChatGPT in Teaching Speaking Skills for English Majored Students: A Research Perspective

With the rapid advancement of artificial intelligence and its integration into education, the potential for enhancing English-speaking instruction has grown significantly. Traditional methods of teaching speaking to English-majored students often face challenges such as time constraints, limited access to native speakers, and varying levels of student proficiency. This study explores the auxiliary role of ChatGPT, a large language model, in assisting the development of speaking skills among English majors. By leveraging its natural language processing capabilities, the study aims to innovate teaching methods and provide learners with personalized, real-time practice opportunities. The article first outlines the technical features of ChatGPT and its applications in speaking instruction, including customized conversation practice, real-time interaction, and intelligent feedback. It also examines the current challenges of traditional speaking instruction, such as limited classroom time and the need for individualized feedback. Furthermore, the study discusses how ChatGPT can support teachers in providing scalable, interactive learning experiences. Finally, the article evaluates the effectiveness and feasibility of ChatGPT in enhancing speaking proficiency and highlights the potential future applications of AI tools in English language education. This research offers valuable insights into how AI can be integrated into language learning to address existing challenges and improve the overall teaching of speaking skills.

Systems modelling and simulation to guide targeted investments to reduce youth suicide and mental health problems in a low–middle-income country

BackgroundDespite suicide’s public health significance and global mental health awareness, current suicide prevention efforts show limited impact, posing a challenge for low- and middle-income countries. This study aimed to develop a dynamic simulation model that could be used to examine the potential effectiveness of alternative interventions for reducing youth mental health problems and suicidal behavior in Bogotá, Colombia.MethodsA system dynamics model was designed using a participatory approach involving three workshops conducted in 2021 and 2022. These workshops engaged 78 stakeholders from various health and social sectors to map key mental health outcomes and influential factors affecting them. A model was subsequently developed, tested, and presented to the participants for interactive feedback, guided by a moderator. Simulation analyses were conducted to compare projected mental health outcomes for a range of intervention scenarios with projections for a reference scenario corresponding to business-as-usual.ResultsA total of 6670 suicide attempts and 347 suicides are projected among 7 − 17-year-olds from January 1, 2023, to early 2031 under the business-as-usual scenario. Mental health issues among 12 − 17-year-olds are projected to increase from 18.9% (2023) to 27.8% (2031), and substance use issues from 2.29 to 2.49% over the same period. School-based suicide prevention and gatekeeper training are the most effective strategies, reducing total numbers of suicide attempts and suicides by more than 20% (i.e., compared to business-as-usual). However, discontinuous funding significantly hinders these effective suicide prevention efforts.ConclusionsSystems modelling is an important tool for understanding where the best strategic financial and political investments lie for improving youth mental health in resource-constrained settings.

E-formative feedback in emergency remote learning: First-year student teachers' experiences and challenges

This study examined the role of e-formative feedback in emergency remote teaching and learning for first-year student teachers. Numerous scholars have acknowledged the pedagogical value of formative feedback in teacher education. However, there is a pressing need for significant improvement in the quality and accessibility of e-formative feedback provided to student teachers in online learning environments. This study explored the nature of e-formative feedback, technological challenges, and pedagogical practices employed by teacher educators when implementing formative assessment in emergency remote learning contexts. The study is underpinned by Interactive Tutoring Feedback model as the theoretical framework. We utilised the interpretive paradigm and a qualitative approach, specifically employing a case study methodology as a means of inquiry. The empirical investigation involved 20 first-year student teachers selected purposively from a large public university in South Africa. Data were collected through semi-structured interviews and analysis of learning management system logs, with thematic analysis employed to analyse the data. The findings revealed that meaningful e-formative feedback could have been enhanced by addressing contextual factors such as limited internet connectivity and a lack of familiarity with online learning platforms. While student teachers valued the quality of e-formative feedback, they expressed concern regarding their ability to consistently access and engage with feedback to improve their learning in the isolated online environment. This paper recommends providing both student teachers and teacher educators with the necessary technological support and training to effectively utilise e-formative feedback and enhance student teachers' academic achievement and professional development during emergency remote learning.

Application of a Dual Upper Limb Task-Oriented Robotic System for the Functional Recovery of the Upper Limb in Stroke Patients.

Highly repetitive and task-oriented training has been shown to promote the recovery of limb function in stroke patients. Additionally, bilateral arm training can help stroke survivors regain their upper limb function and improve their daily activities. The dual upper limb task-oriented robotic system is designed to assist the healthy side of the stroke patient in driving the affected side to perform bilateral arm training through the use of a robotic device. It can also guide the patient in carrying out dual upper limb coordinated movements and engage them in a task-oriented virtual game using force feedback and human-computer interaction technology. This study aimed to assess the efficacy of the system in enhancing upper limb function and activities of daily living in stroke patients. The assessment methods used included motor evoked potential (MEP), functional test for the hemiplegic upper extremity-Hong Kong (FTHUE-HK), Fugl-Meyer Assessment Upper Extremity Scale (FMA-UE), and modified Barthel index (MBI). The results of the study indicate that the dual upper limb task-oriented robotic system can significantly improve the corticospinal pathway, upper limb function, and activities of daily living in stroke patients after 6 weeks of treatment. This system can serve as an effective adjunct to upper limb functional rehabilitation in stroke survivors, reducing the dependence on rehabilitation therapists. In conclusion, the dual upper limb task-oriented robotic system provides a new strategy for post-stroke limb functional rehabilitation and holds great potential for application, as it offers certain social and financial benefits.

International medical students’ experiences of psychological safety in feedback episodes: a focused ethnographic study

BackgroundFeedback and psychological safety are well-established concepts within medical education, vital for student learning and progress. However, the concepts remain unexplored in the context of international students. This area deserves attention given the unique challenges faced by the overseas medical students due to cultural differences. The present study examines international students’ experiences of psychological safety in feedback interactions in a Scottish undergraduate medical programme.MethodsA focused ethnographic approach was adopted to explore international students’ experiences and perceptions of psychological safety in their feedback experiences. Data were collected in the form of field observations and semi-structured interviews, involving both student and faculty participants. Approximately 13hrs of fieldwork and a total of 11 interviews were conducted. These were analysed using a combination of inductive and deductive thematic analysis.ResultsData analysis identified four key themes: feedback delivery, educator attributes, cultural factors and longitudinal educational relationships. Both staff and student participants highlighted how environmental factors such as room design and group size functioned as enablers or barriers to psychological safety in feedback episodes. Additionally, students appreciated tutors who expressed vulnerability and demonstrated awareness of their cultural backgrounds. Students described significant differences between the feedback approaches in the host (UK) institute and that in their home country. Longitudinal associations fostered trust and familiarity with peers and tutors, enhancing students’ receptivity to learning and feedback.ConclusionThis present study highlights cultural differences in feedback practices across countries and their impact on psychological safety among international students. It stresses the importance of integrating overseas students by considering group dynamics, environment and diverse student needs. Staff awareness of cultural variability, openness to tutor vulnerability and fostering long-term educational relationships can greatly enhance psychological safety in learning and teaching activities. These insights are relevant amidst the growing globalisation of medical education and the mobility of students across borders, advocating for tailored integration to optimise their learning experience and achievement.

Toward self-regulated learning: effects of different types of data-driven feedback on pupils' mathematics word problem-solving performance.

Mathematical word problems refer to word problems where the information that is presented needs to be integrated, typically into a mathematical formula, to arrive at a solution to the problem. When solving mathematics word problems, elementary school students often have difficulties improving their performance due to a lack of self-regulated learning (SRL). However, SRL can be developed by adopting an appropriate teaching approach which offers quantitative feedback or learning prompts. With the sophistication of interactive and data-driven feedback technology, it is possible to provide timely and personalized strategies for promoting students' SRL. In this study, an interactive e-book editing platform was used to design self-regulation-level-based feedback(SRLF) and task-level-based feedback(TLF) teaching models, which were respectively conducted in two similar fifth-grade classes for the mathematics word problem solving lessons. Using ANCOVA and repeated ANOVA, this study found that (1) the SRLF had a remarkably greater impact on elementary school students' mathematics word problem-solving performance than the TLF, with a partial η 2-value of .107; (2) In the short period of time, there was no significant difference between the two kinds of feedback on the learners' SRL. The TLF was slightly superior to the SRLF, especially in terms of total self-regulated learning scores and cognitive strategies; (3) The TLF had a significant interaction effect on self-regulated learning and cognitive strategies, respectively with a partial η 2-value of .059 and .056.

Application of strategies for teaching and learning for tenth grade students

The research focuses on tenth grade students at Unidad Educativa del Milenio Simón Bolívar en Pimocha, Babahoyo, Ecuador, to improve their reading comprehension skills through the use of cooperative learning strategies. Quantitative and qualitative methods were used to collect data in focus groups through surveys, standardized tests, interviews, observation checklists, and discussions. The sample consisted of twelve students who were evenly distributed between two classes. The results of the research showed that students who participated in cooperative learning activities significantly improved their reading comprehension skills; students achieved an average increase of 24.1% in their reading comprehension test scores. These results were supported by interviews and discussions in focus groups, which emphasized the importance of peer interaction and continuous feedback. Cooperative learning strategies, such as scaffolding instruction and collaboration activities, have been proven effective in improving reading comprehension skills. These findings highlight the importance of applying innovative teaching techniques in secondary education.

Development of a T2D App for Elderly Users: Participatory Design Study via Heuristic Evaluation and Usability Testing

Diabetes management applications effectively help patients monitor blood glucose levels and adjust diet and exercise plans. However, most diabetes management apps, including the SugarShift application developed in 2023, use generalized designs that often fail to consider the unique cognitive and physiological characteristics of elderly users, thereby impacting their acceptance and usage. This paper proposes an enhancement for the SugarShift application by introducing a mode specifically designed for elderly users. This proposed enhancement aims to directly involve elderly patients so as to meet their needs better through a participatory design approach. A heuristic evaluation conducted with six experts identified 126 usability issues and 179 heuristic violations in the current version, which has led to the recommendation to develop optimization strategies tailored for elderly users. Subsequent usability testing with 28 elderly patients and six experts emphasized the importance of interface simplicity, logical operation, and interaction quality in enhancing user experience. These factors improve usability, facilitate information processing, and reduce cognitive load. Despite the overall usability of SUS scores, significant challenges still need to be addressed in information display, system feedback, and user interaction. Recommendations for future enhancements include simplifying data entry and presentation, improving readability, and providing timely feedback to enhance usability and user satisfaction, ultimately increasing user retention.

The effects of implicit corrective feedback on production of lexical stress in L2 English

The interactionist approach to second language acquisition has yielded a plethora of studies confirming the positive impact of interaction and corrective feedback on second language (L2) development. Nevertheless, only a few studies have attempted to investigate the development of L2 prosody using the interactionist approach. The current study contributes to this line of research by investigating the relationship between recasts and the production of primary stress in L2 English. Following a pretest-posttest design, 68 L1 Arabic speakers were randomly assigned to control and intervention groups. The pre- and posttest comprised sentence-completion and information-exchange tasks, whereas the intervention was a role-play task that dyads carried out with the researcher. The intervention group received a recast upon producing target words with misplaced primary stress, whereas the control group did not receive any corrective feedback. The results of acoustic analyses, which focused on syllable duration, intensity, and pitch, indicated a positive relationship between recasts and development of primary stress placement. The results were also supported by expert listener judgments. The findings suggest that interaction and implicit corrective feedback play a positive role in the development of lexical stress.

Food Preservation in the Industrial Revolution Epoch: Innovative High Pressure Processing (HPP, HPT) for the 21st-Century Sustainable Society.

The paper presents the 'progressive review' for high pressure preservation/processing (HPP) (cold pasteurization) of foods and the next-generation high-pressure and high temperature (HPHT, HPT) food sterilization technologies. It recalls the basics of HPP and HPT, showing their key features and advantages. It does not repeat detailed results regarding HPP and HPT implementations for specific foods, available in numerous excellent review papers. This report focuses on HPP and HPT-related issues that remain challenging and can hinder further progress. For HPP implementations, the reliable modeling of microorganisms' number decay after different times of high pressure treatment or product storage is essential. This report indicates significant problems with model equations standard nonlinear fitting paradigm and introduces the distortion-sensitive routine enabling the ultimate validation. An innovative concept based on the barocaloric effect is proposed for the new generation of HPT technology. The required high temperature appears only for a strictly defined short time period controlled by the maximal pressure value. Results of the feasibility test using neopentyl glycol as the barocaloric medium are presented. Attention is also paid to feedback interactions between socioeconomic and technological issues in the ongoing Industrial Revolution epoch. It indicates economic constraints for HPP and HPT developments and emerging business possibilities. The discussion recalls the inherent feedback interactions between technological and socioeconomic innovations as the driving force for the Industrial Revolution epoch.

Environment-mediated long-ranged correlations in many-body system

Quantum states in complex aggregates are unavoidably affected by environmental effects, which typically cannot be accurately modeled by simple Markovian processes. As system sizes scale up, nonperturbative simulation becomes thus unavoidable, but they are extremely challenging due to the intimate interplay of intrinsic many-body interaction and time-retarded feedback from environmental degrees of freedom. In this work, we utilize the recently developed quantum dissipation with minimally extended state space approach to address reservoir induced long-ranged temporal correlations in finite size Ising-type spin chains. For thermal reservoirs with ohmic and subohmic spectral density, we simulate the quantum time evolution from finite to zero temperature. The competition between thermal fluctuations, quantum fluctuations, and anti-/ferromagnetic interactions reveals a rich pattern of dynamical phases, including dissipative induced phase transitions and spatiotemporal correlations.

Species-specific impact of protists in controlling litter decomposition

Protists affect soil microbiome composition and functioning, potentially increasing litter decomposition and plant growth. Yet, the role of different protist species, individually or in combinations, in regulating microbial-mediated litter decomposition remains unknown, as well as if these interactions feedback to plant growth. Using a full-factorial design of three protist species combinations with bacterial and fungal communities, we found that only one protist species reduced litter decomposition by 19%, with other species and combinations not affecting litter decomposition. Despite a positive correlation between plant growth and litter decomposition, we did not observe protist-induced changes in plant growth. Overall, our results highlight that protists affect litter decomposition in a species-specific manner, including reducing litter decomposition.

Design and Implementation of Multi-mode Natural Interaction of Game Animation Characters in Mixed Reality: A Novel User Experience Method

To enhance users’ novel experiences in gaming, the design method of multi-mode natural interaction of game animation characters in mixed reality is studied. Through the process of skeleton modeling, interpolation of position and orientation, time alignment and time transformation of character posture, the game animation character in mixed reality is constructed. The multi-role interactive game animation is synthesized using a random graph and uniform network, and the edge of the depth of field image collected by the Kinect somatosensory sensor is extracted. According to the transfer model and observation model of the Kalman filter algorithm, the motion trajectory of the game animation characters is obtained and the game animation characters are tracked. The IRS recognition algorithm is used for optical multi-touch processing in mixed reality, and the natural interaction of multi-mode game animation characters in interaction–perception mode, natural interaction mode and interactive feedback mode is realized. The experimental results demonstrate that this method can achieve multi-mode natural interaction of game animation characters in mixed reality and provide users with a novel game experience.

Research on the Impact of User Behavior on Sustainable Design Strategies

This study aims to explore the influence of user behavior on sustainable design strategies and proposes a framework for optimizing design interventions. User behavior data regarding energy use, resource consumption, and waste management were collected through surveys, in-depth interviews, and virtual reality simulations. K-means clustering and Principal Component Analysis (PCA) were employed to systematically identify user behavior patterns. The findings reveal three distinct user groups: environmentally conscious, economically driven, and neutral/passive. Experimental results validated the effectiveness of various design intervention strategies—such as behavioral incentives, interactive feedback, and visual prompts—in increasing the frequency of energy-saving actions and reducing energy consumption. The behavioral incentive strategy showed the most significant impact, reducing energy consumption by 20% and achieving the highest user satisfaction. Through multiple regression analysis and ANOVA, the statistical significance of the behavioral incentive strategy was further confirmed. The innovation of this study lies in optimizing user behavior through customized strategies and proposing a combination of interventions to achieve greater energy savings. This provides new theoretical and practical support for sustainable design practices.