Interaction Styles Research Articles

How can we support the development of health literacy in young people?

Abstract Over the past two decades, there has been an increased interest in Health literacy (HL) to improve health behaviours and health outcomes. Due to its potential impact, HL is considered one of the major issues in public health and is increasingly being recognised in recent policies and initiatives. Although, the research justifying the importance of HL continues to grow, there is a lack of research focusing on strategies to improve HL and challenges that are faced when supporting HL, particularly in young people. Thus, this study aimed to explore, from the point of view of international academics and community-based practitioners, (i) key considerations when supporting young people’s HL; (ii) major challenges to supporting young people’s HL; and (iii) possible solutions to overcome such challenges. A stakeholder mapping exercise was used to recruit academic and community-based practitioners to take part of in a one-to-one interview (n = 29). Reflexive thematic analysis was used to analyse the data. The preliminary findings suggest that: the participants feel the use of participatory approaches is essential when designing a HL-focused program; the importance of embedding HL education and awareness into schools; the value in using interactive style learning; and the importance of targeting those ‘hardly reached’ populations. The participants highlighted that accessibility to schools; difficulty in engaging young people; and ensuring programs are sustainable as major challenges. Solutions to overcome which challenges were posited, including professional development for teachers; the development of engaging and context specific programs that target the young person’s physical and social environment; and importance of influencing national policies to value HL. These findings can be used to inform interventions and policies to target the HL of young people. Key messages • The importance of adopting participatory approaches when developing health literacy interventions. • The importance of developing feasible, context specific and engaging health literacy curricula within schools.

Zooming In: A Review of Designing for Photo Taking in Human-Computer Interaction and Future Prospects

Photography has been pivotal in culture for decades and its importance has increased with the rise of digital technology. However, the exploration of picture taking within the Human-Computer Interaction (HCI) community does not seem to match its cultural and technological significance. Recognizing this discrepancy, we sought to understand areas of interest in photography as a conscious creative process. To address this issue, we performed a systematic literature review using the PRISMA methodology. From our research, we identified 62 pertinent papers spanning from 2005 to 2022. Our examination revealed six primary dimensions, further classified into study type, design goal, photo-taking style, device type, interaction style, and number of users. In-depth analysis showed the dominant role of exploratory and functional research, the balance between qualitative and quantitative methods, and a strong focus on smartphone cameras. Our review has highlighted significant gaps in the existing literature, offering valuable insights for future research on photo taking.

Dosen Otoritatif: Analisis Persepsi Mahasiswa STIE Balikpapan

This research aims to investigate student’s perceptions of authoritative teachers, commonly referred to as "killer" lecturers, in the context of the teaching and learning process, communication, and the lecturer’s assessment standards. The research employs a qualitative descriptive approach. The study was conducted at the STIE Balikpapan campus, with subjects being fifth-semester students from the Faculty of Business Economics. Data collection was carried out using semi-structured questionnaires containing open-ended questions to explore students views in depth. The results indicate that students perceive "killer" lecturers as strict, difficult to joke with, having high assessment standards, and engaging in minimal interaction. The study also highlights how effective collaborative and interactive teaching styles can create a conducive learning environment to achieve established educational goals

Evaluasi Pengalaman Pengguna Pada Learning Management System Menggunakan Metode User Experience Questionnaire

The purpose of this study was to conduct a survey to assess the performance of the Learning Management System (LMS). This is done related to the need to evaluate its use by users. This study used the User Experience Questionnaire (UEQ) method regarding (1) attractiveness, (2) clarity, (3) efficiency, (4) reliability, (5) stimulation, and (6) novelty. The survey was conducted online via a Google form and had 164 participants. The benchmark results show that all criteria are above the average, but the UEQ scale for novelty is the lowest at 0.87, while attractiveness is 1.44, pragmatic quality is 1.37, and hedonic quality is 1.05. Therefore, it is suggested that the learning management system be improved through interactive learning styles, such as live discussions in LMS, integration with other technologies, updating artificial intelligence and big data-based technologies, and adapting to the metaverse, while maintaining the attractiveness and identity of the platform through design. rework color schemes, content, including engaging videos and gamification, and implement live chat with lecturers to overcome time constraints during video conferencing.

Sarcasm Detection Based on Sentiment Analysis of Audio Corpus Using Deep Learning

With the rapid progress in digitalization, hundreds of services and applications have begun to depend on human-machine communication, primarily voice-based. As technology advances, it has become increasingly imperative to develop systems that can discern sophisticated emotions from humans, like sarcasm. Despite research that has been conducted on the detection and analysis of speech signals to try and understand emotion, the detection of sarcasm, which is often not overtly expressed, is quite far from something that has received the attention it deserves in recent years. It plays a very important role in any utterance, searching to identify the psychology, mood, or even health behind it. Hence, it does give interactions with humans a more human-like flavor while raising the feeling of understanding human emotions. This article tries to identify sarcasm in speech using audio data derived from real-world, spontaneous, monolingual corpora. In this classification process, a deep learning classifier known as CNN-LSTM model is used. Results of the study showed that a robust combination between feature extraction through convolutional layers and sequential learning through LSTM layers can identify intricate speech patterns in sarcasm. Experimented and validated in terms of performance, this model shows the model to be very good at discriminating between sarcastic and no sarcastic speech, thus promoting it for more extensive use in various applications related to sentiment analysis and in human-computer interaction applications. The results show that this system provides far much closer approximations to human interaction styles, but its impact would extend into a wide area from customer services, monitoring mental health, and even AI-driven communication systems. It is a monolingual and spontaneous corpus that will open the gates for further work and development down the line and possibly extend to multilingual and more diversified speech contexts, thus fine-tuning accuracy in practical scenarios of sarcasm detection.

Construction of collective self-determination in development-oriented group discussions

PurposeThe purpose of this study is to explore the construction of collective self-determination in development-oriented group discussions. This paper provides empirical understanding of how collective self-determination is constructed in social interaction using certain communication styles.Design/methodology/approachThe qualitative data were based on four development-oriented group discussions (totaling 180 min) of supervisors from Finnish central hospital and information and communication technology organization. Participants from hospitals worked as head nurses, while those from information technology organizations worked as leaders and project managers. The data were analysed through interaction and content analyses.FindingsBased on the findings, collective self-determination is constructed in social interaction through speech sections in which individuals’ different speech acts facilitate basic psychological needs of autonomy, competence and relatedness. In collective self-determination, the individual and the collective are emphasized at the same time, meaning that collective self-determination cannot occur without individual-level self-determination.Practical implicationsOrganizations and teams should focus on finding suitable ways to implement collective self-determination and consider the importance of social interaction and certain communication styles. Moreover, employees should be offered enough resources and support to be able to work in collectively self-determined manner.Originality/valueThe study offered an approach to understand self-determination and its construction in group discussions aiming at collective learning. Collective self-determination emphasizes the group and its ability to be autonomous, responsible and capable to learn and to orient toward common goals and tasks. As such, it extends the previous understanding of self-determination as collective-level phenomenon. More research is needed in the context of working life.

Unlocking TikTok’s Formula: Video Length, Tags, and Beauty Content Success

With the rapid growth of TikTok in the digital era, beauty influencers have gained significant influence over consumer decisions, particularly through makeup product reviews. TikTok’s short and interactive content style has brought attention to how video characteristics such as length and the number of tags affect engagement metrics like views, likes, and comments. This research explores the impact of these factors using data analysis from a sample of 25 TikTok videos, where the average video length was 2 minutes and 20 seconds, and the top 25% of videos had lengths exceeding 3 minutes and 30 seconds. The findings reveal that longer videos tend to foster deeper engagement by providing more comprehensive reviews, with the top 25% of videos achieving 30% higher engagement than the average. Additionally, a higher number of tags significantly increases video reach. These insights are valuable for influencers and marketers looking to optimize their content strategies, particularly in the beauty industry, where maximizing audience engagement is crucial.

Review Article: The Autism Disease: Symptoms, Genomics, Causes and Pharmacological Therapy for the Behavioral associated with disease

One of the most confusing conditions is autism spectrum disorders (ASDs), for which neither a precise cause nor a conclusive cure has yet been discovered. Autism can be defined as a disorder that typically manifests in children at a young age and affects many areas of their development. It develops in an abnormal way, exhibiting an unbalanced social interaction style marked by recurring behavioral patterns and difficulties in verbal and nonverbal communication. The frequency of ASDs has dramatically increased over the past few decades, inspiring numerous researchers worldwide to investigate all facets of the condition, from origin to intervention and diagnosis. This study addresses ASDs, their causes, symptoms, diagnosis, modalities of therapy, and the counseling needs of Jordanian families. As one of the most common neurodevelopmental disorders, ASDs are characterized by stereotyped behaviors and poor social interaction. There is a significant and intricate genetic component to ASDs, with numerous patterns of familial inheritance and an estimated 1,000 potential genes. The past ten years have seen a rapid advancement in identifying the genes responsible for autism, thanks to genomic technologies. This study describes pharmaceutical treatments for the behavioral symptoms associated with ASDs in adolescents, children, and adults. The categories of symptoms include inattention and hyperactivity, social impairment, aggression, irritability, and stereotyped and repetitive behaviors. Medications covered in the list include α-2 agonists, atomoxetine, mirtazapine, memantine, serotonin reuptake inhibitors (SRIs), and antipsychotics. In children with ASDs, SRIs are generally less effective and less tolerated compared to adults. The most effective medications for treating irritability in ASDs are antipsychotics, which can also help with other symptoms. While psychostimulants show promise when used to treat inattention and hyperactivity in individuals with ASDs, they are less effective and have more side effects compared to their use in individuals with attention deficit and hyperactivity disorders (ADHDs). Although more research is needed, memantine and D-cycloserine appear to be beneficial in treating social impairment.

Video analysis of music therapy interaction for children experiencing neurodevelopment delay

Children experiencing neurodevelopmental delay have motor, linguistic, and cognitive problems that affect their skills in various domains, especially interpersonal ones. Since music therapy is based on musical exchange, these three case studies explore how child–music therapists’ interactions change within and between sessions. Moreover, we evaluated whether the children’s and parents’ musical interaction changed in everyday life. Three children experiencing neurodevelopmental delay participated in 70 psychodynamic music therapy sessions, relying primarily on musical improvisation techniques. The initial (i.e. pre-test) and final sessions (i.e. post-test) were video recorded and codified with the Kategoriensystem Musik Therapie (KAMUTHE) in the 10th and 30th minutes. Videos were analyzed using the Behavioral Observation Research Interactive Software (BORIS). In addition, parents completed the Music in Everyday Life (MEL) Scale to evaluate how they experienced musical activities with their children. Reliable Change Indexes (RCIs) were calculated to assess significant changes in everyday musical activities. Based on video analysis, three children were more active at the 30th minute and the post-test, while Music Therapists stimulated them less. In addition, therapists adapted the activities and stimuli based on the children’s responses. Based on RCIs, parents reported an increased musical engagement with two children. Music therapy might help children experiencing neurodevelopmental delays modify their interaction style and improve motor and interpersonal skills.

Experienced facilitators and challenges of practising motivational interaction: How can pre-service physical education teachers adopt more motivational behaviours?

Health promotion professionals can contribute to high-quality motivation and sustained health behaviours, for example, physical activity (PA), using motivational interaction with their target groups. However, evidence shows that even after comprehensive training, professionals do not optimally adopt motivational counselling styles. To improve efforts to help professionals take up and sustain motivational interaction in their practice, we need a better understanding of influences on practising these styles. This study set out to investigate pre-service physical education (PE) teachers' experienced facilitators and challenges of practising motivational interaction. After a training course that aimed to teach pre-service PE teachers the basic ideas and practical techniques of motivational interaction, 19 participants were interviewed. Inductive content analysis was employed to investigate semi-structured interviews. We developed three categories each including both facilitators and challenges of practising motivational interaction: (1) own style of interaction functioned as a basis for practising and involved (a) confidence in skills and resources as well as (b) reflecting, overcoming and forming habits, (2) regulation of one's own behaviour: autonomy and responsibility involved the freedom to choose and plan how to practise but also bearing responsibility for it, and (3) pursuing authentic interaction related to the search for natural ways to use motivational interaction with others. We provide suggestions on how future training can make use of this knowledge and systematically make use of behaviour change science to foster practising motivational interaction, for example, using self-regulation strategies and habit-forming/breaking skills.

Adapting to My User, Engaging with My Robot: An Adaptive Affective Architecture for a Social Assistive Robot

Affective feedback from social robots is a useful technique for communicating to people whether they are interacting “well” with the robot or not. However, some users, such as people with physical or cognitive difficulties, may not be able to interact in all the desired ways. In these cases, affective feedback from the robot could be excessively negative—an “unhappy” robot, leading to an unrewarding experience for the user. This paper presents a motivation-based architecture for an autonomous multimodal social robot, that incorporates an affective feedback mechanism which generates an affective state by combining the internal needs of the robot and the social interaction quality. The balance between these two factors can dynamically change, allowing the robot to adapt its affective feedback to the user’s interaction style and capabilities. We have implemented this architecture in a simulation and in a MiRo social robot, and report experiments examining the behavior of the system in interactions with different experimental user profiles. The results show that the adaptive mechanism allows the robot to change its affective feedback to give more positive encouragement to users than in non-adaptive cases.

The Effect of Healthcare Chatbots’ Information Presentation Styles on User Acceptance in a Knowledge Seeking Task

The rise of large language models offers new opportunities for disseminating more effective and equitable healthcare information. While past research has extensively investigated users’ perceptions of chatbots, few have examined the design strategies for chatbot information presentation. The objective of this research aims to explore how communication style (conversational or informative) and language style (technical or non-technical) affect user acceptance and ability performing a knowledge seeking task with a healthcare chatbot in a 2 × 2 between-subjects design. Following this, participants engaged in semi-structured interviews, where we analyzed participants’ experiences through inductive thematic analysis. Our findings indicate users generally found conversational chatbots to be more understandable with greater perceived interaction freedom than informative chatbots. These insights highlight the importance of aligning chatbot communication with users’ expectations. Future research should validate these findings with larger and more diverse populations, considering the impact of various chatbot interaction styles on user experience and long-term effectiveness.

A SYSTEMATIC REVIEW OF BEHAVIOURAL CHANGES IN L1 LEARNERS DUE TO L2 NONVERBAL CUES

This systematic review explores the influence of second language (L2) nonverbal cues on first language (L1) behaviours among learners. While existing research has primarily focused on verbal proficiency, the integration of nonverbal communication—encompassing gestures, facial expressions, body posture, and vocal tone—into L2 learning remains under examined. This study investigates the phenomenon of superimposition, where L2 learners adopt nonverbal cues that subsequently shape their L1 interactions. Through an interdisciplinary lens incorporating psycholinguistics, cross-cultural communication, and second language acquisition theories, we identify significant behavioural changes in L1 communication patterns, emotional expressiveness, and social interaction styles. Key areas of impact include alterations in facial expressions, gestural behaviours, eye contact, and paralanguage. Utilizing psychometric tools such as self-report surveys, observational studies, and vocal analysis, this review highlights the complexities of nonverbal communication across languages and cultures. Ultimately, our findings underscore the necessity of understanding nonverbal cue integration to enhance cross-cultural communication and support multilingual individuals in navigating diverse interaction contexts.

Nature-engagement and wellbeing in Brazil: Understanding the dose-effect relationship for designing urban green spaces

Statement of problemIn the face of increasing urbanization, the pursuit of healthy and sustainable cities promoting a high quality of life intertwined with nature is paramount. PurposeThis research endeavors to assess the impact of variations in nature interaction styles on health, with the objective of generating evidence to inform the design of urban green spaces. MethodEthically approved by the Human Research Ethics Committee (CAAE 58149622.3.0000.0077), a survey involving 2136 respondents was conducted. Participants reported their nature engagement frequency, duration, and intensity, alongside mental health assessments using the Depression, Anxiety, and Stress Scale (DASS-21). Welch's ANOVA and Cohen’s d were employed to derive meaningful effect size. ConclusionsThis research provided empirical insights into the relationship between nature interaction and public health, thus offering evidence to inform urban green space design. Practical implicationsThe findings are expected to empower urban planners and policymakers with evidence-based strategies for creating urban green spaces conducive to physical activities, leisure events, and nature-based recreation, promoting public health through appropriately timed and frequented activities. Future directionsFurther research avenues may include longitudinal studies to assess the long-term impact of nature interaction on mental health and the implementation of evidence-based design strategies in urban green space development.

Engagement in Transformational Leadership by Teachers Influences the Levels of Self-Esteem, Motor Self-Efficacy, Enjoyment, and Intention to Be Active in Physical Education Students.

In the school context, the teacher-student interaction style plays a pivotal role in ensuring optimal adolescent functioning. Over recent years, the significance of transformational teacher leadership in fostering student engagement and positive development has been underscored. This study aimed to examine the correlations between transformational leadership and adolescent self-esteem, motor self-efficacy, enjoyment in physical education classes, and intention for future physical activity. This research used an associative and predictive strategy. A total of 429 adolescents from Málaga, aged between 14 and 16 years (M = 14.97; SD = 0.85), participated in this research, which employed an associative, comparative, and predictive approach. The Transformational Teaching Questionnaire (TTQ), Motor Self-Efficacy Scale (MSES), Intrinsic Satisfaction in Sport Instrument (SSI-EF), and Intention of Being Physically Active Scale (MIFA) were utilized for variable assessment. Correlation, Multiple Regression, and cluster analyses revealed statistically significant correlations between transformational leadership and self-esteem, motor self-efficacy, enjoyment, and future activity intention. Specifically, it was revealed that motivational inspiration predicts self-esteem, motor self-efficacy, enjoyment, and intention for physical activity, whereas intellectual stimulation predicts motor self-efficacy, enjoyment, and intention for physical activity. Notably, the transformational leadership factors of intellectual stimulation and motivational inspiration were observed to predict scores across other variables, particularly enjoyment in physical education classes, both overall and by gender. These findings suggest that transformational leadership in physical education classes can significantly enhance student experiences, thereby promoting adherence to physical activity and healthy lifestyles among adolescents.

Women’s engagement with community perinatal mental health services: a realist evaluation

BackgroundIn recognition of the burden of Perinatal Mental Health problems, NHS England invested £365 million to transform women’s access to mental health care, including investment in Community Perinatal Mental Health Services. This study examined how elements of provider care affected women’s engagement with these services.MethodsSemi-structured interviews were conducted with 139 women and explored their experiences of care from 10 different Community Perinatal Mental Health Teams; including which service components participants believed made a difference to their initial and continued engagement. Realist analysis was used to create context-mechanism-outcome configurations (CMOCs) across interviews, since not all parts of the configurations were always articulated within singular interviews.ResultsFour key pillars for engagement were identified: perinatal competence, relationship building, accurate reassurance, and reliability. The way perinatal competencies were relayed to women mattered; compassion, understanding and consistency were critical interactional styles. The extent to which these factors affected women’s engagement varied by their context and personal characteristics.ConclusionsAs mental health problems increase, disproportionately affecting vulnerable populations, it is critical to continue to ensure support is not only available, but appropriately meets the needs of those individuals. Our findings suggest that key staff behaviours applied at the right time can support women’s engagement and potentially contribute to better treatment outcomes.

Investigating the relationship between transformational and interactional leadership styles with attitude to organizational change in clinical professors, basic and educational experts of Yasouj University of Medical Sciences

Investigating the relationship between transformational and interactional leadership styles with attitude to organizational change in clinical professors, basic and educational experts of Yasouj University of Medical Sciences

Inequalities in the Ability for People With Type 2 Diabetes and Prediabetes to Adapt to the Reduction in In-Person Health Support and Increased Use of Digital Support During the COVID-19 Pandemic and Beyond: Qualitative Study.

The COVID-19 pandemic created unprecedented challenges for people with type 2 diabetes (T2D) and prediabetes to access in-person health care support. Primary care teams accelerated plans to implement digital health technologies (DHTs), such as remote consultations and digital self-management. There is limited evidence about whether there were inequalities in how people with T2D and prediabetes adjusted to these changes. This study aimed to explore how people with T2D and prediabetes adapted to the reduction in in-person health support and the increased provision of support through DHTs during the COVID-19 pandemic and beyond. A purposive sample of people with T2D and prediabetes was recruited by text message from primary care practices that served low-income areas. Semistructured interviews were conducted by phone or video call, and data were analyzed thematically using a hybrid inductive and deductive approach. A diverse sample of 30 participants was interviewed. There was a feeling that primary care had become harder to access. Participants responded to the challenge of accessing support by rationing or delaying seeking support or by proactively requesting appointments. Barriers to accessing health care support were associated with issues with using the total triage system, a passive interaction style with health care services, or being diagnosed with prediabetes at the beginning of the pandemic. Some participants were able to adapt to the increased delivery of support through DHTs. Others had lower capacity to use DHTs, which was caused by lower digital skills, fewer financial resources, and a lack of support to use the tools. Inequalities in motivation, opportunity, and capacity to engage in health services and DHTs lead to unequal possibilities for people with T2D and prediabetes to self-care and receive care during the COVID-19 pandemic. These issues can be addressed by proactive arrangement of regular checkups by primary care services and improving capacity for people with lower digital skills to engage with DHTs.

INTERNAL FACTORS FORMING COMPETITIVE POTENTIAL OF SMALL ARCHITECTURAL AND CONSTRUCTION ENTERPRISES: SYSTEMATISATION, ADAPTATION, UNIVERSALISATION

Internal factors play a decisive role in the formation of the competitive potential of small enterprises in the field of architecture and construction. The comprehensive approach adopted in this study involves analysing and improving the following internal factors: business strategy; efficiency of the business management system and methods; innovation and investment potential; level of production organisation; planning system; system of economic, social and psychological incentives; intellectual and labour potential; corporate culture. In particular, the study identifies the following qualitative characteristics and impact of internal factors on the level of competitiveness of small architectural and construction enterprises. The systematisation of internal factors contributes to the identification of the most important elements that have an impact on a company’s successful strategy. In this way, enterprises can better focus their efforts and resources on the achievement of their strategic goals. An important component of a company’s competitiveness is the effectiveness of its management system. A company can increase its productivity and efficiency in managing resources by analysing and improving this system. The ability to innovate and invest is also important in running a successful business. Innovation helps to maintain a competitive advantage by enabling a company to introduce new technologies and develop its products. In order to increase productivity, the organisation of production requires the systematisation and optimisation of processes. A clear definition of roles and responsibilities, the rational use of resources and quality assurance contribute to a company’s success. Planning is important for developing the business and achieving its goals. Managers can make informed decisions and successfully manage their business through a clear definition of goals, strategies and plans. The system of economic, social and psychological incentives used to motivate employees affects productivity. The provision of an appropriate incentive system is an important factor in the recruitment and retention of talented employees. Intellectual and labour potential are indisputable assets of an organisation. Ensuring the sustainability and future prospects of the company by investing in human resource development, skills and knowledge of employees. The style and characteristics of team interaction are determined by the corporate culture. The productivity and efficiency of the company can be positively influenced by striving to create a positive and favourable atmosphere. Companies can increase their efficiency, flexibility and sustainability in a competitive environment by systematising, adapting and universalising these factors. In particular, systematisation helps with the organisation and identification of internal factors, adaptation enables a rapid response to changes in the environment and universalisation enables the expansion of the firm’s capabilities. With such a comprehensive strategy, small enterprises can ensure their stability, competitiveness and resistance to the changes in the market conditions.

The Influence of Educational Technology, Social Interaction and Learning Style on Learning Outcomes with Learning Interest as An Intervening Variable in Class X Students in Madrasah Aliyah Negeri 1 Makassar City

This research aims to gain knowledge and understanding regarding the influence of educational technology, social interaction and learning styles on learning outcomes with interest in learning as an intervening variable in class X students at Madrasah Aliyah Negeri 1 Makassar City. The method used is quantitative research techniques with descriptive research type. The sample in this study was 113 class X students. Data analysis used the Partial Least Square Structural Equation Model (PLS-SEM). The research results obtained were that Educational Technology, Social Interaction and Learning Style had a significant effect on the Learning Outcomes of class X students. Interest in Learning was able to mediate Educational Technology on Learning Outcomes. Interest in Learning is able to mediate Social Interaction on Learning Outcomes. Learning Interest is able to mediate Learning Style on Learning Outcomes.