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Article
Publication date: 16 January 2024

Ji Fang, Vincent C.S. Lee and Haiyan Wang

This paper explores optimal service resource management strategy, a continuous challenge for health information service to enhance service performance, optimise service resource…

Abstract

Purpose

This paper explores optimal service resource management strategy, a continuous challenge for health information service to enhance service performance, optimise service resource utilisation and deliver interactive health information service.

Design/methodology/approach

An adaptive optimal service resource management strategy was developed considering a value co-creation model in health information service with a focus on collaborative and interactive with users. The deep reinforcement learning algorithm was embedded in the Internet of Things (IoT)-based health information service system (I-HISS) to allocate service resources by controlling service provision and service adaptation based on user engagement behaviour. The simulation experiments were conducted to evaluate the significance of the proposed algorithm under different user reactions to the health information service.

Findings

The results indicate that the proposed service resource management strategy, considering user co-creation in the service delivery, process improved both the service provider’s business revenue and users' individual benefits.

Practical implications

The findings may facilitate the design and implementation of health information services that can achieve a high user service experience with low service operation costs.

Originality/value

This study is amongst the first to propose a service resource management model in I-HISS, considering the value co-creation of the user in the service-dominant logic. The novel artificial intelligence algorithm is developed using the deep reinforcement learning method to learn the adaptive service resource management strategy. The results emphasise user engagement in the health information service process.

Details

Industrial Management & Data Systems, vol. 124 no. 3
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 18 January 2024

Sa Xiao, Xuyang Chen, Yuankai Lu, Jinhua Ye and Haibin Wu

Imitation learning is a powerful tool for planning the trajectory of robotic end-effectors in Cartesian space. Present methods can adapt the trajectory to the obstacle; however…

Abstract

Purpose

Imitation learning is a powerful tool for planning the trajectory of robotic end-effectors in Cartesian space. Present methods can adapt the trajectory to the obstacle; however, the solutions may not always satisfy users, whereas it is hard for a nonexpert user to teach the robot to avoid obstacles in time as he/she wishes through demonstrations. This paper aims to address the above problem by proposing an approach that combines human supervision with the kernelized movement primitives (KMP) model.

Design/methodology/approach

This approach first extracts the reference database used to train KMP from demonstrations by using Gaussian mixture model and Gaussian mixture regression. Subsequently, KMP is used to modulate the trajectory of robotic end-effectors in real time based on feedback from its interaction with humans to avoid obstacles, which benefits from a novel reference database update strategy. The user can test different obstacle avoidance trajectories in the current task until a satisfactory solution is found.

Findings

Experiments performed with the KUKA cobot for obstacle avoidance show that this approach can adapt the trajectories of the robotic end-effector to the user’s wishes in real time, including trajectories that the robot has already passed and has not yet passed. Simulation comparisons also show that it exhibits better performance than KMP with the original reference database update strategy.

Originality/value

An interactive learning approach based on KMP is proposed and verified, which not only enables users to plan the trajectory of robotic end-effectors for obstacle avoidance more conveniently and efficiently but also provides an effective idea for accomplishing interactive learning tasks under constraints.

Details

Industrial Robot: the international journal of robotics research and application, vol. 51 no. 2
Type: Research Article
ISSN: 0143-991X

Keywords

Open Access
Article
Publication date: 27 September 2022

Annalisa Metta

This paper aims to explore the topic of adaptive reuse referring to urban open spaces into a more-than-human perspective. It underlines that dealing with heritage means being part…

Abstract

Purpose

This paper aims to explore the topic of adaptive reuse referring to urban open spaces into a more-than-human perspective. It underlines that dealing with heritage means being part of an inherent and ongoing process of transformation and so that reuse is inextricably an adaptive practice, constantly facing mutations, and that adaptation is a coral practice that involves different kinds of users and makers, inclusive of human and not human livings.

Design/methodology/approach

This paper looks at the lexicon of abandonment, in search of the more essential and intense meanings of words, and at some pioneering practices in Europe to comprehend the aesthetic and ethical implications of adaptive reuse of neglected landscapes.

Findings

Processes of reuse involve many different communities of users who in turn continuously redesign the site, into a comprehensive, coral and conflicting collaboration, whose results are never given once for all and are both uncanny and beautiful, scaring and marvellous, like a monster.

Practical implications

Accepting the idea that humans are not the only users and makers of urban sites can widen the range of tools, methods and values involved in heritage adaptive reuse.

Originality/value

This paper tries to widen the meanings of adaptation into a multispecies perspective. It intends to broaden the range of agents that can be involved as users and makers, assuming a more-than-human point of view that is not yet commonly applied.

Details

Journal of Cultural Heritage Management and Sustainable Development, vol. 14 no. 1
Type: Research Article
ISSN: 2044-1266

Keywords

Article
Publication date: 7 November 2023

Olufemi Samson Adetunji and Jamie MacKee

A comprehensive understanding of the determining factors and implications of the frameworks for appreciating the relationships between climate risks and cultural heritage remains…

Abstract

Purpose

A comprehensive understanding of the determining factors and implications of the frameworks for appreciating the relationships between climate risks and cultural heritage remains deficient. To address the gap, the review analysed literature on the management of climate risk in cultural heritage. The review examines the strengths and weaknesses of climate risk management (CRM) frameworks and attendant implications for the conservation of cultural heritage.

Design/methodology/approach

The study adopted a two-phased systematic review procedure. In the first phase, the authors reviewed related publications published between 2017 and 2021 in Scopus and Google Scholar. Key reports published by organisations such as the United Nations Educational, Scientific and Cultural Organisation (UNESCO) and International Council on Monuments and Sites (ICOMOS) were identified and included in Phase Two to further understand approaches to CRM in cultural heritage.

Findings

Results established the changes in trend and interactions between factors influencing the adoption of CRM frameworks, including methods and tools for CRM. There is also increasing interest in adopting quantitative and qualitative methods using highly technical equipment and software to assess climate risks to cultural heritage assets. However, climate risk information is largely collected at the national and regional levels rather than at the cultural heritage asset.

Practical implications

The review establishes increasing implementation of CRM frameworks across national boundaries at place level using high-level technical skills and knowledge, which are rare amongst local organisations and professionals involved in cultural heritage management.

Originality/value

The review established the need for multi-sectoral, bottom-up and place-based approaches to improve the identification of climate risks and decision-making processes for climate change adaptation.

Details

Journal of Cultural Heritage Management and Sustainable Development, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2044-1266

Keywords

Article
Publication date: 9 December 2022

Na Jiang, Xiaohui Liu, Hefu Liu, Eric Tze Kuan Lim, Chee-Wee Tan and Jibao Gu

Artificial intelligence (AI) has gained significant momentum in recent years. Among AI-infused systems, one prominent application is context-aware systems. Although the fusion of…

1307

Abstract

Purpose

Artificial intelligence (AI) has gained significant momentum in recent years. Among AI-infused systems, one prominent application is context-aware systems. Although the fusion of AI and context awareness has given birth to personalized and timely AI-powered context-aware systems, several challenges still remain. Given the “black box” nature of AI, the authors propose that human–AI collaboration is essential for AI-powered context-aware services to eliminate uncertainty and evolve. To this end, this study aims to advance a research agenda for facilitators and outcomes of human–AI collaboration in AI-powered context-aware services.

Design/methodology/approach

Synthesizing the extant literature on AI and context awareness, the authors advance a theoretical framework that not only differentiates among the three phases of AI-powered context-aware services (i.e. context acquisition, context interpretation and context application) but also outlines plausible research directions for each stage.

Findings

The authors delve into the role of human–AI collaboration and derive future research questions from two directions, namely, the effects of AI-powered context-aware services design on human–AI collaboration and the impact of human–AI collaboration.

Originality/value

This study contributes to the extant literature by identifying knowledge gaps in human–AI collaboration for AI-powered context-aware services and putting forth research directions accordingly. In turn, their proposed framework yields actionable guidance for AI-powered context-aware service designers and practitioners.

Details

Industrial Management & Data Systems, vol. 123 no. 11
Type: Research Article
ISSN: 0263-5577

Keywords

Open Access
Article
Publication date: 17 May 2022

Mohammad B. Hamida, Tuuli Jylhä, Hilde Remøy and Vincent Gruis

Adaptability is an inherent quality in building circularity, as adaptability can physically facilitate the reversibility of materials in a closed-reversible chain, also called…

3648

Abstract

Purpose

Adaptability is an inherent quality in building circularity, as adaptability can physically facilitate the reversibility of materials in a closed-reversible chain, also called “loops”. Nevertheless, positioning adaptability in circularity-oriented models could overlook some of the contextual considerations that contribute to the utility for the built environment. This paper reconceptualises building adaptability to incorporate circularity, in order to facilitate for the resource loops whilst preserving the long-lasting functionality in buildings.

Design/methodology/approach

An integrative literature review on adaptability and circularity of buildings was conducted using systematic search approach. From the initial database of 4631 publications, 104 publications were included for the final analysis. A comparative analysis of definitions and determinants of both concepts was conducted to reconceptualise circular building adaptability.

Findings

The findings of the literature study show that incorporating circularity and adaptability is possible through 10 design and operation determinants, namely configuration flexibility, product dismantlability, asset multi-usability, design regularity, functional convertibility, material reversibility, building maintainability, resource recovery, volume scalability, and asset refit-ability. The study concludes that considering the defined determinants in a holistic manner could simultaneously facilitate: building resilience to contextual changes, creation of asset value, and elimination of waste generation.

Originality/value

This paper expands the relevant bodies of literature by providing a novel way of perceiving building adaptability, incorporating circularity. The practical value of this paper lies in the discussion of potential strategies that can be proactively or reactively employed to operationalise circular building adaptability.

Details

International Journal of Building Pathology and Adaptation, vol. 41 no. 6
Type: Research Article
ISSN: 2398-4708

Keywords

Open Access
Article
Publication date: 15 August 2023

Anna Baj-Rogowska

This study aims to explore which of four chosen factors (i.e. privacy concerns, FoMO, self-disclosure and time cost) induce a feeling of strain among Facebook users in terms of…

1632

Abstract

Purpose

This study aims to explore which of four chosen factors (i.e. privacy concerns, FoMO, self-disclosure and time cost) induce a feeling of strain among Facebook users in terms of social media fatigue (SMF), and if this occurs, whether it further influences such outcomes as discontinuance of usage (DoU) and interaction engagement decrement (IED).

Design/methodology/approach

Through an online structured questionnaire, empirical data were gathered to verify the research model, based on the stressor-strain-outcome (SSO) framework. The SEM technique was employed for assessing the hypothesized relationships.

Findings

The findings show that privacy concerns and time cost are strong antecedents of SMF and contribute significantly to its occurrence; while FoMO and self-disclosure do not exhibit any significant influence. Moreover, SMF positively and significantly affects DoU and IED.

Practical implications

This study enhances the existing body of knowledge on SMF and it can help: (1) individuals to be aware of risks and adjust their activities in balance with their well-being, and (2) social media (SM) managers to develop unique strategies to address the specific needs of SM users.

Originality/value

This research contributes to the limited literature on SMF by (1) introducing the concept of IED – as a consequence of SMF, and (2) creating measurement scales for IED.

Details

Information Technology & People, vol. 36 no. 8
Type: Research Article
ISSN: 0959-3845

Keywords

Article
Publication date: 12 July 2022

Ahlam Ammar Sharif

This study aims at unpacking the multiplicity of the sitting activity in public spaces through the lens of actor-network theory. In line with previous urban research focussing on…

Abstract

Purpose

This study aims at unpacking the multiplicity of the sitting activity in public spaces through the lens of actor-network theory. In line with previous urban research focussing on outdoor activities, such empirical investigation aims to show the importance of the physical aspects of spaces, including seating, in supporting sitting activities as a way of encouraging the use of public space.

Design/methodology/approach

This study adopts the overlap between actor–network theory and affordances. It utilises ethnographic research involving frequent users in Dahiyat Al Hussein Park in Amman-Jordan. Data were gathered on the different seat–user relations and the translated sitting activity networks.

Findings

Analysis demonstrates different cases of alignment, misalignment and realignment between what is intended and experienced, and where these relations are maintained, disrupted or changed. These findings reveal the multiplicity of sitting activities; this is significant for understanding how they are maintained.

Originality/value

The research suggests a new way of conceptualising the relationship between the physical environment and users and an approach for examining sitting activities. Some studies have applied actor–network theory and/or the concept of “affordance” by highlighting relations between the object and its user and how they create sitting activities. However, only few studies have problematised the multiplicity of sitting when considering seating uses.

Details

Archnet-IJAR: International Journal of Architectural Research, vol. 17 no. 4
Type: Research Article
ISSN: 2631-6862

Keywords

Article
Publication date: 6 March 2024

Xiaohui Li, Dongfang Fan, Yi Deng, Yu Lei and Owen Omalley

This study aims to offer a comprehensive exploration of the potential and challenges associated with sensor fusion-based virtual reality (VR) applications in the context of…

Abstract

Purpose

This study aims to offer a comprehensive exploration of the potential and challenges associated with sensor fusion-based virtual reality (VR) applications in the context of enhanced physical training. The main objective is to identify key advancements in sensor fusion technology, evaluate its application in VR systems and understand its impact on physical training.

Design/methodology/approach

The research initiates by providing context to the physical training environment in today’s technology-driven world, followed by an in-depth overview of VR. This overview includes a concise discussion on the advancements in sensor fusion technology and its application in VR systems for physical training. A systematic review of literature then follows, examining VR’s application in various facets of physical training: from exercise, skill development and technique enhancement to injury prevention, rehabilitation and psychological preparation.

Findings

Sensor fusion-based VR presents tangible advantages in the sphere of physical training, offering immersive experiences that could redefine traditional training methodologies. While the advantages are evident in domains such as exercise optimization, skill acquisition and mental preparation, challenges persist. The current research suggests there is a need for further studies to address these limitations to fully harness VR’s potential in physical training.

Originality/value

The integration of sensor fusion technology with VR in the domain of physical training remains a rapidly evolving field. Highlighting the advancements and challenges, this review makes a significant contribution by addressing gaps in knowledge and offering directions for future research.

Details

Robotic Intelligence and Automation, vol. 44 no. 1
Type: Research Article
ISSN: 2754-6969

Keywords

Article
Publication date: 26 July 2023

Yupeng Mou and Xiangxue Meng

With the upgrade of natural language interaction technology, the simulation extension of intelligent voice assistants (IVAs) and the uncertainty of products and services have…

Abstract

Purpose

With the upgrade of natural language interaction technology, the simulation extension of intelligent voice assistants (IVAs) and the uncertainty of products and services have received more and more attention. However, most of the existing research focuses on investigating the application of theories to explain consumer behavior related to intention to use and adopt IVAs, while ignoring the impact of its privacy issues on consumer resistance. This article especially examines the negative impact of artificial intelligence-based IVAs’ privacy concerns on consumer resistance, and studies the mediating effect of perceived creepiness in the context of privacy cynicism and privacy paradox and the moderating effect of anthropomorphized roles of IVAs and perceived corporate social responsibility (CSR) of IVAs’ companies. The demographic variables are also included.

Design/methodology/approach

Based on the theory of human–computer interaction (HCI), this study addresses the consumer privacy concerns of IVAs, builds a model of the influence mechanism on consumer resistance, and then verifies the mediating effect of perceived creepiness and the moderating effect of anthropomorphized roles of IVAs and perceived CSR of IVAs companies. This research explores underlying mechanism with three experiments.

Findings

It turns out that consumers’ privacy concerns are related to their resistance to IVAs through perceived creepiness. The servant (vs. partner) anthropomorphized role of IVAs is likely to induce more privacy concerns and in turn higher resistance. At the same time, when the company’s CSR is perceived high, the impact of the concerns of IVAs’ privacy issues on consumer resistance will be weakened, and the intermediary mechanism of perceiving creepiness in HCI and anthropomorphism of new technology are further explained and verified. The differences between different age and gender are also revealed in the study.

Originality/value

The research conclusions have strategic reference significance for enterprises to build the design framework of IVAs and formulate the response strategy of IVAs’ privacy concerns. And it offers implications for researchers and closes the research gap of IVAs from the perspective of innovation resistance.

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