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Article
Publication date: 1 March 1999

Holger D. Hofmann, Volker Muench and Jeanne Stynes

Componentware is a new paradigm in software development that is based on the concept of a software component. Software components are self‐contained, immutable units of software…

758

Abstract

Componentware is a new paradigm in software development that is based on the concept of a software component. Software components are self‐contained, immutable units of software which can be distributed over large networks or even over the Internet. The distribution of software components requires new, Internet‐based search and retrieval mechanisms. A set of collaborating software components is called componentware. We discuss the architectural requirements and mechanisms of componentware, a technical realisation of a componentware architecture, and identify obstacles in building componentware. Finally, we propose possible solutions for the realisation of componentware and componentware architectures.

Details

Internet Research, vol. 9 no. 1
Type: Research Article
ISSN: 1066-2243

Keywords

Article
Publication date: 8 March 2011

Matthew Field, Zengxi Pan, David Stirling and Fazel Naghdy

The purpose of this paper is to provide a review of various motion capture technologies and discuss the methods for handling the captured data in applications related to robotics.

1708

Abstract

Purpose

The purpose of this paper is to provide a review of various motion capture technologies and discuss the methods for handling the captured data in applications related to robotics.

Design/methodology/approach

The approach taken in the paper is to compare the features and limitations of motion trackers in common use. After introducing the technology, a summary is given of robotic‐related work undertaken with the sensors and the strengths of different approaches in handling the data are discussed. Each comparison is presented in a table. Results from the author's experimentation with an inertial motion capture system are discussed based on clustering and segmentation techniques.

Findings

The trend in methodology is towards stochastic machine learning techniques such as hidden Markov model or Gaussian mixture model, their extensions in hierarchical forms and non‐linear dimension reduction. The resulting empirical models tend to handle uncertainty well and are suitable for incrementally updating models. The challenges in human‐robot interaction today include expanding upon generalising motions to understand motion planning and decisions and build ultimately context aware systems.

Originality/value

Reviews including descriptions of motion trackers and recent methodologies used in analyzing the data they capture are not very common. Some exist, as has been pointed out in the paper, but this review concentrates more on applications in the robotics field. There is value in regularly surveying the research areas considered in this paper due to the rapid progress in sensors and especially data modeling.

Details

Industrial Robot: An International Journal, vol. 38 no. 2
Type: Research Article
ISSN: 0143-991X

Keywords

Article
Publication date: 10 September 2018

Claire Roederer and Marc Filser

This paper aims to contribute to the area of museum experience research, by exploring how consumers build stories to tell different experiences generated from a visit to a museum…

1576

Abstract

Purpose

This paper aims to contribute to the area of museum experience research, by exploring how consumers build stories to tell different experiences generated from a visit to a museum and by viewing these inductive findings in the light of recent research on consumption experiences (Lanier and Rader, 2015).

Design/methodology/approach

A qualitative study is conducted. Twenty-three narratives were analysed relating a visit to ZKM museum in Karlsruhe (Germany) using narrative analysis techniques, as they are suitable to capture sensations, emotions and feelings.

Findings

ZKM museum emerges from the analysis of the narratives as a cradle for stochastic experiences (Lanier and Rader, 2015). The narratives develop several episodes that correspond to performance and liberatory experiences. A reconceptualization of the museal experience is proposed as a mesh of performance, stochastic or liberatory episodes, that capture the subject’s perspective.

Research limitations/implications

The study was limited to students who were 19-23 years of age and to one museum. Future research should include a wider age group and other museums.

Practical implications

The findings provide useful insights for curators, educators and exhibit designers staging museal experiences.

Social implications

The findings provide a better understanding of different experiences occurring in the same experiential context and their meaning from the subject’s perspective.

Originality/value

Lanier and Rader (2015) typology has not yet been tested in a museal context. The findings suggest that the same context can generate a set of various episodes (performance, liberatory, stochastic) within a given experience. From a methodological perspective, the results show that qualitative approaches are relevant to segment the museal offer based on sought experiences.

Details

Qualitative Market Research: An International Journal, vol. 21 no. 4
Type: Research Article
ISSN: 1352-2752

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