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Abstract

Details

Appearance as Capital
Type: Book
ISBN: 978-1-80043-711-1

Open Access
Article
Publication date: 29 August 2022

Minni Haanpää

This study aims to propose a novel concept of choreography as a way of understanding co-creation of value and thus develops the spatial analytical dimensions of co-creation…

1187

Abstract

Purpose

This study aims to propose a novel concept of choreography as a way of understanding co-creation of value and thus develops the spatial analytical dimensions of co-creation theorising.

Design/methodology/approach

This conceptual paper contemplates the meanings and possibilities of leveraging the theoretical underpinnings of value co-creation, from the viewpoint of value-in-experience.

Findings

The concept of choreography opens up a way to read knowledge as movement. It enables a way to elaborate on both the phenomenological and non-representational aspects of co-creation processes. Conceptualising co-creation through such a lens, where knowing is seen as an on-going, spatio-temporal and affective process formed in movement, posits opportunities to further understand the value co-creation practices of experiences. Choreography gives access to the kinaesthetic and affective nature of knowing gained in and through different spatio-temporal contexts and can, in turn, be mobilised in others.

Originality/value

Only a few studies have conceptualised co-creation in relation to a spatio-temporal phenomenon. Notably, this study connects co-creation with mobilities and thus constructs a novel view of knowledge and value creation.

Details

Qualitative Market Research: An International Journal, vol. 25 no. 5
Type: Research Article
ISSN: 1352-2752

Keywords

Open Access

Abstract

Purpose

To compare the electromyography (EMG) features during physical and imagined standing up in healthy young adults.

Design/methodology/approach

Twenty-two participants (ages ranged from 20–29 years old) were recruited to participate in this study. Electrodes were attached to the rectus femoris, biceps femoris, tibialis anterior and the medial gastrocnemius muscles of both sides to monitor the EMG features during physical and imagined standing up. The %maximal voluntary contraction (%MVC), onset and duration were calculated.

Findings

The onset and duration of each muscle of both sides had no statistically significant differences between physical and imagined standing up (p > 0.05). The %MVC of all four muscles during physical standing up was statistically significantly higher than during imagined standing up (p < 0.05) on both sides. Moreover, the tibialis anterior muscle of both sides showed a statistically significant contraction before the other muscles (p < 0.05) during physical and imagined standing up.

Originality/value

Muscles can be activated during imagined movement, and the patterns of muscle activity during physical and imagined standing up were similar. Imagined movement may be used in rehabilitation as an alternative or additional technique combined with other techniques to enhance the STS skill.

Details

Journal of Health Research, vol. 35 no. 1
Type: Research Article
ISSN: 0857-4421

Keywords

Open Access
Article
Publication date: 12 August 2022

Enrico Attila Bruni, Filippo Andrei and Lia Tirabeni

The purpose of this contribution is twofold: at the empirical level, it is shown how in the relationship that subjects are encouraged to construct with their bodies major…

1170

Abstract

Purpose

The purpose of this contribution is twofold: at the empirical level, it is shown how in the relationship that subjects are encouraged to construct with their bodies major implications for workers' well-being can be found; at a theoretical level, attention is drawn to the importance of framing the different practices workers may display towards digital wellness programmes not just in terms of acceptance or resistance, but also in terms of appropriation.

Design/methodology/approach

Empirically, this study concentrates on the pilot study conducted by a large manufacturing firm that decided to implement a digitally assisted corporate wellness programme. The experimentation involves a sample of the company's workers. The 24 participants were interviewed at the beginning, during the programme and at its end, for a total of 69 interviews. Interviews were transcribed and analysed through a template analysis.

Findings

This research emphasizes how workers' well-being manifests in the relationship subjects are fostered to construct with their body and, in parallel, how workers may play an active and unpredictable role in corporate wellness programmes.

Originality/value

Differently from the current literature that frames workers' reactions towards digital corporate well-being initiatives in mainly polarized ways, this contribution leads to a less dichotomic and more nuanced interpretation of the “impacts” wellness programmes may have, showing how workers may display practices not just of acceptance or resistance, but also of appropriation.

Details

Qualitative Research in Organizations and Management: An International Journal, vol. 17 no. 5
Type: Research Article
ISSN: 1746-5648

Keywords

Open Access
Article
Publication date: 18 June 2020

Michelle M.E. Van Pinxteren, Mark Pluymaekers and Jos G.A.M. Lemmink

Conversational agents (chatbots, avatars and robots) are increasingly substituting human employees in service encounters. Their presence offers many potential benefits, but…

15302

Abstract

Purpose

Conversational agents (chatbots, avatars and robots) are increasingly substituting human employees in service encounters. Their presence offers many potential benefits, but customers are reluctant to engage with them. A possible explanation is that conversational agents do not make optimal use of communicative behaviors that enhance relational outcomes. The purpose of this paper is to identify which human-like communicative behaviors used by conversational agents have positive effects on relational outcomes and which additional behaviors could be investigated in future research.

Design/methodology/approach

This paper presents a systematic review of 61 articles that investigated the effects of communicative behaviors used by conversational agents on relational outcomes. A taxonomy is created of all behaviors investigated in these studies, and a research agenda is constructed on the basis of an analysis of their effects and a comparison with the literature on human-to-human service encounters.

Findings

The communicative behaviors can be classified along two dimensions: modality (verbal, nonverbal, appearance) and footing (similarity, responsiveness). Regarding the research agenda, it is noteworthy that some categories of behaviors show mixed results and some behaviors that are effective in human-to-human interactions have not yet been investigated in conversational agents.

Practical implications

By identifying potentially effective communicative behaviors in conversational agents, this study assists managers in optimizing encounters between conversational agents and customers.

Originality/value

This is the first study that develops a taxonomy of communicative behaviors in conversational agents and uses it to identify avenues for future research.

Details

Journal of Service Management, vol. 31 no. 2
Type: Research Article
ISSN: 1757-5818

Keywords

Open Access
Article
Publication date: 14 May 2020

Alessandro Stefanini, Davide Aloini and Peter Gloor

This study investigates the relationships between team dynamics and performance in healthcare operations. Specifically, it explores, through wearable sensors, how team…

1680

Abstract

Purpose

This study investigates the relationships between team dynamics and performance in healthcare operations. Specifically, it explores, through wearable sensors, how team coordination mechanisms can influence the likelihood of surgical glitches during routine surgery.

Design/methodology/approach

Breast surgeries of a large Italian university hospital were monitored using Sociometric Badges – wearable sensors developed at MIT Media Lab – for collecting objective and systematic measures of individual and group behaviors in real time. Data retrieved were used to analyze team coordination mechanisms, as it evolved in the real settings, and finally to test the research hypotheses.

Findings

Findings highlight that a relevant portion of glitches in routine surgery is caused by improper team coordination practices. In particular, results show that the likelihood of glitches decreases when practitioners adopt implicit coordination mechanisms rather than explicit ones. In addition, team cohesion appears to be positively related with the surgical performance.

Originality/value

For the first time, direct, objective and real time measurements of team behaviors have enabled an in-depth evaluation of the team coordination mechanisms in surgery and the impact on surgical glitches. From a methodological perspective, this research also represents an early attempt to investigate coordination behaviors in dynamic and complex operating environments using wearable sensor tools.

Details

International Journal of Operations & Production Management, vol. 40 no. 9
Type: Research Article
ISSN: 0144-3577

Keywords

Open Access
Article
Publication date: 22 August 2023

Mahesh Babu Purushothaman and Kasun Moolika Gedara

This pragmatic research paper aims to unravel the smart vision-based method (SVBM), an AI program to correlate the computer vision (recorded and live videos using mobile and…

1218

Abstract

Purpose

This pragmatic research paper aims to unravel the smart vision-based method (SVBM), an AI program to correlate the computer vision (recorded and live videos using mobile and embedded cameras) that aids in manual lifting human pose deduction, analysis and training in the construction sector.

Design/methodology/approach

Using a pragmatic approach combined with the literature review, this study discusses the SVBM. The research method includes a literature review followed by a pragmatic approach and lab validation of the acquired data. Adopting the practical approach, the authors of this article developed an SVBM, an AI program to correlate computer vision (recorded and live videos using mobile and embedded cameras).

Findings

Results show that SVBM observes the relevant events without additional attachments to the human body and compares them with the standard axis to identify abnormal postures using mobile and other cameras. Angles of critical nodal points are projected through human pose detection and calculating body part movement angles using a novel software program and mobile application. The SVBM demonstrates its ability to data capture and analysis in real-time and offline using videos recorded earlier and is validated for program coding and results repeatability.

Research limitations/implications

Literature review methodology limitations include not keeping in phase with the most updated field knowledge. This limitation is offset by choosing the range for literature review within the last two decades. This literature review may not have captured all published articles because the restriction of database access and search was based only on English. Also, the authors may have omitted fruitful articles hiding in a less popular journal. These limitations are acknowledged. The critical limitation is that the trust, privacy and psychological issues are not addressed in SVBM, which is recognised. However, the benefits of SVBM naturally offset this limitation to being adopted practically.

Practical implications

The theoretical and practical implications include customised and individualistic prediction and preventing most posture-related hazardous behaviours before a critical injury happens. The theoretical implications include mimicking the human pose and lab-based analysis without attaching sensors that naturally alter the working poses. SVBM would help researchers develop more accurate data and theoretical models close to actuals.

Social implications

By using SVBM, the possibility of early deduction and prevention of musculoskeletal disorders is high; the social implications include the benefits of being a healthier society and health concerned construction sector.

Originality/value

Human pose detection, especially joint angle calculation in a work environment, is crucial to early deduction of muscoloskeletal disorders. Conventional digital technology-based methods to detect pose flaws focus on location information from wearables and laboratory-controlled motion sensors. For the first time, this paper presents novel computer vision (recorded and live videos using mobile and embedded cameras) and digital image-related deep learning methods without attachment to the human body for manual handling pose deduction and analysis of angles, neckline and torso line in an actual construction work environment.

Details

Smart and Sustainable Built Environment, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2046-6099

Keywords

Open Access
Article
Publication date: 4 August 2022

Balli Lelinge

This study determines which aspects of the intended object of learning (planned by teachers during the first phase of a learning study) is made discernible from a learners'…

1679

Abstract

Purpose

This study determines which aspects of the intended object of learning (planned by teachers during the first phase of a learning study) is made discernible from a learners' perspective. In a learning study, the intended, enacted, and lived object of learning are considered. This study focuses on the learning material used by teachers while designing a lesson.

Design/methodology/approach

In many learning studies, variation theory is used to design lessons, which predicts difficulties in and possibilities for student learning. The data consisted of a lesson part – instruction through a video-recorded dance choreography – employed to enhance primary school (in a Swedish context, grade 4) students' dancing skills in the subject of Physical Education and Health. The choreography comprised five different sequences, where a variation occurred when the subsequent (new) sequence was applied to the previous movement pattern. The sequences acted as building blocks, where the students' transitions from one movement pattern to another were logical and distinguishable.

Findings

The results of this study show in what way an analysis of learning material, based on variation theory, can help teachers take into account the level of complexity of the object of learning. The results also identify which parts of a lesson design can be predicted to present a higher degree of challenge and by that more difficult to grasp, especially for students with different educational needs.

Originality/value

Lessons may be designed based on theoretical assumptions to ensure effective classroom learning and provide guidance to teachers based on student needs.

Details

International Journal for Lesson & Learning Studies, vol. 12 no. 2
Type: Research Article
ISSN: 2046-8253

Keywords

Abstract

Details

Appearance as Capital
Type: Book
ISBN: 978-1-80043-711-1

Open Access
Article
Publication date: 22 July 2019

Wenbin Xu, Xudong Li, Liang Gong, Yixiang Huang, Zeyuan Zheng, Zelin Zhao, Lujie Zhao, Binhao Chen, Haozhe Yang, Li Cao and Chengliang Liu

This paper aims to present a human-in-the-loop natural teaching paradigm based on scene-motion cross-modal perception, which facilitates the manipulation intelligence and robot…

1469

Abstract

Purpose

This paper aims to present a human-in-the-loop natural teaching paradigm based on scene-motion cross-modal perception, which facilitates the manipulation intelligence and robot teleoperation.

Design/methodology/approach

The proposed natural teaching paradigm is used to telemanipulate a life-size humanoid robot in response to a complicated working scenario. First, a vision sensor is used to project mission scenes onto virtual reality glasses for human-in-the-loop reactions. Second, motion capture system is established to retarget eye-body synergic movements to a skeletal model. Third, real-time data transfer is realized through publish-subscribe messaging mechanism in robot operating system. Next, joint angles are computed through a fast mapping algorithm and sent to a slave controller through a serial port. Finally, visualization terminals render it convenient to make comparisons between two motion systems.

Findings

Experimentation in various industrial mission scenes, such as approaching flanges, shows the numerous advantages brought by natural teaching, including being real-time, high accuracy, repeatability and dexterity.

Originality/value

The proposed paradigm realizes the natural cross-modal combination of perception information and enhances the working capacity and flexibility of industrial robots, paving a new way for effective robot teaching and autonomous learning.

Details

Industrial Robot: the international journal of robotics research and application, vol. 46 no. 3
Type: Research Article
ISSN: 0143-991X

Keywords

1 – 10 of over 1000