Mei-Tai Chu

Socially Assistive Robots in Elderly Care: A Mixed-Method Systematic Literature Review

The world’s population is aging, and developed countries are engaged in developing a new aged-care paradigm to reduce spiraling healthcare costs. Assistive technologies like Socially Assistive Robots (SAR) are being considered as enablers to support the process of care giving or keep elderly at home longer. This article reports a mixed-method systematic review of SAR in elderly care and recognizes its impact on elderly well-being, integrating evidence from qualitative and quantitative studies. It follows the principles explained in Cochrane Handbook for Systematic Reviews of Interventions and classifies interventions, measures, and outcomes of field trials of SAR in elderly care. Eighty-six studies in 37 study groups have been included. The findings imply positive effects of SAR on elderly well-being. Ten significant recommendations are made to help avoid the current limitations of existing research and to improve future research and its applicability. This review revealed that SAR can potentially enhance elderly well-being and decrease the workload on caregivers. There is a need for rigorous research methodology, person-centered care, caregiver expectation model, multimodal interaction, multimodal data collection, and modeling of culturally diverse groups to facilitate acceptability of SAR.

Using Nonadditive Fuzzy Integral to Assess Performances of Organizational Transformation Via Communities of Practice

Organizational transformations have been widely adopted by firms who wish to improve their competitive advantage to be better prepared to face external challenges. This research has chosen Communities of Practice (CoPs) as the subject of discussion for an assessment model to reform organizations that undertake CoPs for collective knowledge to enhance their core competencies. Given the interrelationships between criteria, this research uses the nonadditive fuzzy integral to develop a framework for the CoPs performance assessment. The purposes of this paper are to identify the key dimensions/criteria in the CoPs, to use fuzzy logic method to analyze the relative importance of each criterion, and to rank the criteria so that proper resources can be allocated while managing the CoPs. Through interviews with experts, four strategy alternatives and 16 criteria along four dimensions are generated. A survey of the CoPs practitioners is then conducted to compare the results of each criterion. The results will not only help organizations that intend to initiate changes via the CoPs activities to decide the ranking of their appraisal criteria, but it can also assist them in guiding the behavior of their staff while effectively monitoring and improving the performances of the CoPs

Mapping knowledge sharing traits to business strategy in knowledge based organisation

Globalization has resulted in increasing use of knowledge as competitive weapon in many organizations nowadays. In this context, an increasing number of organizations are focusing on communities of practice (CoPs) orientated knowledge management (KM) studies and the links between KM and organizational business strategy. This link is an important determinant of organizational performance. While KM business strategy (linked to organization business strategy) is important, knowledge sharing behavior of knowledge workers is a critical enabler of effective knowledge management and organizational performance. That is, organizations invest resources in creating CoPs for competitive advantage and lack of suitable candidates will result in loss of momentum and less knowledge sharing in CoPs and there by underutilizing the resources. The aim of this research is to identify the personality traits to portrait the features of knowledge workers suitable for CoPs oriented KM and business strategy. Four KM business strategies have been established in this paper in light of organization performance orientation and KM implementation mode and traits of knowledge workers are mapped to different business strategies. The most significant personality traits of knowledge sharing behavior have been analyzed to determine the suitable traits for different type business strategies. Thus contributions of this paper include (a) defining a model which links four business strategies with CoPs orientated KM model and knowledge sharing behavior model (based on revised Five Factor Model); (b) mapping of personality traits of knowledge workers with four business strategies; (c) providing a guideline to knowledge based organizations for seamless integration of business strategy with CoPs oriented KM and compatible knowledge workers and d) more effective utilization of organizational resources to facilitate improvement in organizational performance.

Index evaluations and business strategies on communities of practice

Business strategies and index evaluations on communities of practice (CoPs) could be the prevailing way for group learning and innovation building within firms. As firms grow in size, scope, and complexity, CoPs members who regularly engage in sharing and learning based on common interests, could improve organizational performance. Due to multi-criteria consideration and uncertain information handling, the purpose of this research is to use the fuzzy multi-criteria decision making (MCDM) method to analyze various index priorities and strategy preferences of CoPs, by undertaking empirical studies of Industrial Technology Research Institute (ITRI) in Taiwan. Fourteen units in survey case were given fifty-seven questionnaires about their priorities towards sixteen different pairs of criteria. Additionally, they were also asked to estimate their four highest achievable business strategies. These evaluation criteria include satisfying multi-dimensions to capable operators. Under each of the four first-tier dimensions, four second-tier criteria are used to assess and echo their first-tier dimensions. The findings of this paper can promote performance value of implementing knowledge management systems and modelling of competitive strategies for CoPs.

Separating the wheat from the chaff: An intelligent sales recruitment and benchmarking system

The need for computer-based intelligent techniques for recruitment and retention of employees in a highly competitive global market has grown significantly in the last decade. Salesperson recruitment is a critical task for most organisations. Existing approaches for salesperson recruitment primarily rely on filtering of applications based on selection criteria followed by interviews. Some organisations also include personality testing based on psychometric techniques. The high turnover of salesperson in the industry suggests limited success of these procedures. Additionally, existing approaches lack benchmarking methods. In this paper we describe design and development of an intelligent sales recruitment and benchmarking system (ISRBS) for recruitment and benchmarking of salespersons. ISRBS design represents operation of the findings and outcomes based on actual field studies and random surveys of salespersons as well as development of models for measuring independent and dependent variables related to selling behaviour. The main contributions of the paper are (i) Developing an on line selling behaviour profiling technique based on integration of intelligent system techniques like expert systems and fuzzy sets, psychology based selling behaviour model, and AHP techniques, and (ii) an objective and novel selling behaviour benchmarking technique to facilitate modelling of organisation based benchmarks and cultural fits. An earlier version of this system has been commercially used in the industry in Australia. ISRBS integrates psychology based selling behaviour model with artificial intelligence techniques and soft computing methods for selling behaviour profiling and benchmarking.

Embodying care in Matilda: an affective communication robot for the elderly in Australia

Ageing population is at the center of the looming health care crisis in most parts of developed and developing world. Australia like most of the western world is bracing up for the looming ageing population crisis, spiraling health care costs and expected serious shortage of health care workers. Assistive Service robots and companion robots are being seen as one of the ways for supporting aged care facilities to meet this challenge and improve the quality of care of the elderly including mental and physical health outcomes, as well as support the health care workers in personalizing care. In this paper the authors report on design and first ever field trial of Matilda, a human like assistive communication (service and companion) robot in appearance and attributes (e.g., voice, expressions, gestures, emotions) in nursing homes in Australia. The work demonstrates Matildas ability to break intergeneration technology barriers with elderly, engage elderly in group and one to one activities for improving personalization of care and wellbeing.

Communities of practice model driven knowledge management in multinational knowledge based enterprises

Existing research in intelligent manufacturing literature has highlighted the need for linking organizational culture, business strategy with Knowledge Management (KM) as well as measuring the performance of knowledge management systems for best practice. Communities of Practice (CoPs) are accepted as best practice and distinct from organizational structures while implementing KM. Besides, employing CoPs as an approach for linking business strategies with KM design, CoPs can be the prevailing way for group learning and innovation building within firms. As firms grow in size, scope, and complexity, CoPs members who regularly engage in sharing and learning based on common interests, could improve organizational performance. The purpose of this work is to design a CoPs model for KM which addresses issues related to organization culture, business strategy and performance measurement reported in earlier publications in intelligent manufacturing. A CoPs evaluation hierarchy for KM is developed. It includes four dimensions and sixteen criteria for studying and evaluating organizational culture and business strategy. Fuzzy Multi-Criteria Decision Making (MCDM) approach has been employed to quantitatively analyze various criteria priorities and business strategy preferences of CoPs. In order to validate the CoPs model, a case study has been undertaken in two multinational knowledge based organizations and the results are compared to differentiate strategic preferences. The contributions of this paper include: a) Definition of a CoPs model based on sixteen criteria which helps to understand an organization’s KM culture or CoPs; b) Employing these criteria to link an organization‘s KM culture with four business strategies; c) Develop a quantitative method for measuring KM performance in the context of four business strategies, and d) Validating the CoPs model through its application in two multinationals in Taiwan and Japan. The CoPs model thus can be used by organizations to understand their KM culture, allocate resources towards the chosen business strategy and measure KM performance in the context of the chosen business strategy.

Embodying Care in Matilda: An Affective Communication Robot for Emotional Wellbeing of Older People in Australian Residential Care Facilities

Ageing population is at the center of the looming healthcare crisis in most parts of the developed and developing world. Australia, like most of the western world, is bracing up for the looming ageing population crisis, spiraling healthcare costs, and expected serious shortage of healthcare workers. Assistive service and companion (social) robots are being seen as one of the ways for supporting aged care facilities to meet this challenge and improve the quality of care of older people including mental and physical health outcomes, as well as to support healthcare workers in personalizing care. In this article, the authors report on the design and implementation of first-ever field trials of Matilda, a human-like assistive communication (service and companion) robot for improving the emotional well-being of older people in three residential care facilities in Australia involving 70 participants. The research makes several unique contributions including Matilda’s ability to break technology barriers, positively engage older people in group and one-to-one activities, making these older people productive and useful, helping them become resilient and cope better through personalization of care, and finally providing them sensory enrichment through Matilda’s multimodal communication capabilities.

Service innovation through social robot engagement to improve dementia care quality

ABSTRACT Assistive technologies, such as robots, have proven to be useful in a social context and to improve the quality of life for people with dementia (PwD). This study aims to show how the engagement between two social robots and PwD in Australian residential care facilities can improve care quality. An observational method is adopted in the research methodology to discover behavioural patterns during interactions between the robots and PwD. This observational study has undertaken to explore the improvement arising from: (1) approaching social baby-face robots (AR), (2) experiencing pleasure engaging with the robots (P), (3) interacting with the robots (IR), and (4) interacting with others (IO). The findings show that social robots can improve diversion therapy service value to PwD through sensory enrichment, positive social engagement, and entertainment. More than 11,635 behavioral reactions, such as facial expressions and gestures, from 139 PwD over 5 years were coded, in order to identify the engagement effectiveness between PwD and two social robots named Sophie and Jack. The results suggest that these innovative social robots can improve the quality of care for people suffering from dementia.

Successful product or successful system? User satisfaction measurement of ERP software

Most software projects are largely undertaken with a focus on developing successful products rather than successful systems. For example, enterprise resource planning (ERP) products are generally developed in isolation from other system components like people, information or existing business processes. This paper applies the human-centred approach in studying the design of SAP-ERP system and measuring its user satisfaction. The objective of the paper is to explore the relationship between the human-centred dimensions (process, syntactic, semantic, social and pragmatic) and the user satisfaction on SAP-ERP system. This paper attempts to answer two questions: what human-centred model can provide a systematic and successful ERP system? And what methodology can be used for validating this model and how can it be applied for evaluating user satisfaction? The contributions of the paper are to address the need for the human-centred approach as a basis for the design of ERP system, to define a systematic human-centred model for measurement towards user satisfaction. This paper suggests the application of a proposed five dimensional model in measuring the human-centredness of SAP-ERP system and embarks a case study to conduct quantitative analysis. In conclusion the paper suggests an urgent and immediate need to develop scientific and engineering methodologies for designing, building, and analysing complex systems that centre on fundamental forms of human activity, supported by computer and communication technology.