scholarly journals Experts by Experience as Contributors to Research and Development in a Corporate Context

Author(s):  
Susanne Jacobson

This paper presents the findings of a user study conducted at a company, a global leader in its industry, in order to engage experts by experience in the research and development of the company’s future products. People who have life-changing experiences such as being ill or having a disability, and who are trained to consider their environment in terms of those experiences, can be called experts by experience. They can be inventive in creating solutions to the challenges of an inaccessible environment. Currently, their expertise is primarily used by the public sector, mainly in welfare and health-related initiatives. The corporate sector seems to have not yet actively engaged them. This study adopted a design research approach and applied a case study method to a research and development project conducted at a company. The user study comprised experts by experience testing a physical prototype that had digital content, by thinking aloud, interacting and participating in a design game. The aim was to understand the strengths, opportunities and development needs of the prototype, as well as to gain the experts’ insights into future requirements and how to meet them with similar products. The study resulted in usability-, appearance- and feel-related product qualities, as well as ideas regarding the product’s potential applications and digital content. The findings suggest that trained experts by experience can provide a company with information that could act as design drivers that benefit strategic development. Due to the inclusion and empowerment of users, as well as fostering their equality, engaging experts by experience in research and development could also be considered to be an example of corporate social sustainability and responsibility.

2016 ◽  
Vol 46 (2) ◽  
pp. 175-193 ◽  
Author(s):  
Cristóvão Dinis Sousa ◽  
António Lucas Soares ◽  
Carla Sofia Pereira

Purpose In collaborative settings, such as research and development projects, obtaining the maximum benefit from knowledge management systems depends on the ability of the different partners to understand the conceptualisation underlying the system’s knowledge organisation. This paper aims to show how information/knowledge organisation in a multi-organisation project can be made more effective if the domain experts are involved in the specification of the systems semantic structure. A particular aspect is further studied: the role of conceptual relations in the process of collaborative development of such structures. Design/methodology/approach An action-research approach was adopted, framed by a socio-semantic stance. A collaborative conceptual modelling platform was used to support the members of a research and development project in the process of developing a lightweight ontology aiming at reorganising all the project information in a wiki system. Data collection was carried out by means of participant observation, interviews and a questionnaire. Findings The approach to solve the content organisation problem revealed to be effective both in the result and the process. It resulted in a better-organised system, enabling more efficient project information retrieval. The collaborative development of the lightweight ontology embodied, in fact, a learning process, leading to a shared conceptualisation. The research results point to the importance of the elicitation of conceptual relations for structuring the project’s knowledge. These results are important for the design of methods and tools to support the collaborative development of conceptual models. Originality/value This paper studies the social process leading to a shared conceptualisation, a subject that has not been sufficiently researched. This case study provides evidence about the importance of the early phases of the construction of ontologies, mainly if domain experts are deeply involved, supported by appropriated tools and guided by well-structured processes.


2019 ◽  
Vol 13 (3) ◽  
pp. 131-138
Author(s):  
Elina Tapio

The paper reports the initial findings of the first phase of the research and development project PICCORE – Picture Communication in Reception Centres. The goal was to map the use of pictures and other visual modes of communication at reception centres in Finland using an ethnographic, multimodal research approach. The ethnographic data was collected at four reception centres in Finland. A multimodal viewpoint draws attention to how action and meanings are mediated through pictures. The initial findings mark established practices for enabling and coordinating mutual attention, supporting the use of visual and embodied resources in interactions and – as a consequence – supporting mutual understanding.


2021 ◽  
Vol 21 ◽  
Author(s):  
Madhukar Garg ◽  
Anju Goyal ◽  
Sapna Kumari

: Cubosomes are highly stable nanostructured liquid crystalline dosage delivery form derived from amphiphilic lipids and polymer-based stabilizers converting it in a form of effective biocompatible carrier for the drug delivery. The delivery form comprised of bicontinuous lipid bilayers arranged in three dimensional honeycombs like structure provided with two internal aqueous channels for incorporation of number of biologically active ingredients. In contrast liposomes they provide large surface area for incorporation of different types of ingredients. Due to the distinct advantages of biocompatibility and thermodynamic stability, cubosomes have remained the first preference as method of choice in the sustained release, controlled release and targeted release dosage forms as new drug delivery system for the better release of the drugs. As lot of advancement in the new form of dosage form has bring the novel avenues in drug delivery mechanisms so it was matter of worth to compile the latest updates on the various aspects of mentioned therapeutic delivery system including its structure, routes of applications along with the potential applications to encapsulate variety drugs to serve health related benefits.


2021 ◽  
Vol 11 (2) ◽  
pp. 84
Author(s):  
S. M. Mizanoor Rahman

Experienced middle school mathematics and science teachers were recruited for a pilot study. The teachers separately responded to a survey related to determining expected learning outcomes based on their traditional teaching, classroom experiences and observations, and self-brainstorming. The teachers then received training on how to design, develop, and implement robotics-enabled lessons under a design-based research approach for experiential learning, and taught robotics-enabled lessons to a selected student population in classroom settings. The teachers then responded to the survey for the robotics-enabled teaching. For each case (traditional and robotics-enabled), the survey responses were analyzed, and a set of expected learning outcomes of math and science lessons was derived separately. The thematic analysis results showed that the expected learning outcomes for the robotics-enabled lessons were not only related to the educational gains (content knowledge) observed in traditional teaching, but also to the improvements in the behavioral, social, scientific, cognitive, and intellectual aptitudes of the students. Then, a set of metrics and methods were proposed for assessing the learning outcomes separately. To validate the assessment metrics and methods, teachers from different schools taught two selected robotics-enabled lessons (one math, one science) to same grade students, and separately assessed the learning outcomes of each student using the proposed metrics and methods. The learning outcomes were then compared and benchmarked between schools and subjects. The results of a user study with the teachers showed user acceptance, effectiveness, and suitability of the assessment metrics and methods. The proposed scheme of assessing learning outcomes can be used to assess and justify the benefits and advantages of robotics-enabled STEM education, benchmark the outcomes, help improve teaching preparations, motivate decision-makers to confer on robotics-enabled STEM education and curricula development, and promote robotics-enabled STEM education.


Author(s):  
Stephen M. Fiore

This symposium provides a complementary set of papers exploring frameworks and models for developing artificial social intelligence (ASI) for teams. ASI consists of components of social cognition that support teamwork and more general interpersonal interactions. Although AI is rapidly evolving and fielded in a variety of operational settings, the implementation of such systems is vastly outpacing our ability to understand how to design and develop technologies appropriately. This symposium is meant to help redress this gap. Consisting of scholars representing the cognitive, computational, and organizational sciences, the papers discuss how they integrate theory and methods to inform development of agents capable of complex collaborative processes. Collectively, these papers synthesize perspectives across disciplines in support of an interdisciplinary research approach for ASL The goal is to contribute to research and development in the area of Human- AI- Robot Teaming effectiveness.


2017 ◽  
Vol 107 (07-08) ◽  
pp. 520-523
Author(s):  
J. Prof. Bliedtner ◽  
M. Schilling

Das FDM (Fused Deposition Modeling)-Verfahren ist aufgrund der Vielzahl von industriellen und privaten Anwendungen gegenwärtig das erfolgreichste 3D-Druck-Verfahren. Ziel des Forschungs- und Entwicklungsprojektes „HP3D“ ist die effiziente Herstellung von großformatigen Bauteilen in einem echten 3D-Verfahren aus frei wählbaren thermoplastischen Kunststoffen. An die Umsetzung des Projekts wurde sehr komplex herangegangen, um zu garantieren, dass die mechanischen und dynamischen Eigenschaften der aufgebauten Teile den konzipierten Eigenschaften entsprechen.   The FDM process is currently the most successful 3D printing process due to the multitude of industrial and private applications. The aim of the research and development project HP3D is the efficient production of large-format components in a real 3D process made of freely selectable thermoplastics. The implementation of the project has been very complex in order to ensure that the mechanical and dynamic properties of the assembled parts correspond to the designed properties.


Author(s):  
Stephen M. Fiore ◽  
Bethany Bracken ◽  
Mustafa Demir ◽  
Jared Freeman ◽  
Michael Lewis

This panel will provide a transdisciplinary perspective on developing artificial social intelligence for teams. A panel with representatives from the cognitive, computational, and neural sciences will discuss theoretical, methodological, and technological insights derived from their respective disciplines. These perspectives will be integrated via a set of questions meant to guide synthesis across disciplines in support of a transdisciplinary team research approach. Through discussion across the panel and audience, our goal is to contribute to research and development in the area of Human-AI-Robot Teaming effectiveness.


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