Investigating the effectiveness of virtual reality for cross-cultural competency training SIEDS 2018

Sheridan, Martha A.; An, Brian; Brown, Donald E.; Bolger, Martin; Epstein, Matthew; Matteo, Forrest; Semunegus, Robel; Daniel, Cesar; Clarkin, Christopher; Gringley, George; Roberts, Jacob; Schäfer, Thomas

doi:10.1109/sieds.2018.8374758

Cited by 7 publications

(5 citation statements)

References 11 publications

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“…In an earlier work [27] we described the foundation for our data collection effort. Based on the dialogue designed by the Chinese culture experts [32], players' in the simulation are evaluated at fourteen ( 14) different points during the interaction. In order to train the expert models for this task, we crowd-sourced data using Amazon mechanical turk (m-turk).…”

Section: A Data Collection Annotation and Scoring Methodsmentioning

confidence: 99%

“…In order to train the expert models for this task, we crowd-sourced data using Amazon mechanical turk (m-turk). Three approaches were used to prompt m-turk users; i) using context from the scenario, they were asked to provide their own responses to the avatar comments; ii) using feedback provided by the Chinese culture experts in our multiple-choice version [32], they were asked to construct alternative responses; and iii) rephrasing the multiple-choice responses in the earlier version [32] of the simulation. The collected data was annotated by a minimum of two (2) annotators.…”

Section: A Data Collection Annotation and Scoring Methodsmentioning

confidence: 99%

“…Menu-based option selection systems map each predefined trainee's response to a corresponding performance measure and feedback [13], [32], [33]. These systems evaluate trainees' input using supervised machine learning classification algorithm that learns from training examples annotated by subject matter experts [1], [2], [4].…”

Section: Response Evaluation and Feedback Mechanismmentioning

confidence: 99%

“…In [32] subject matter experts provided feedback for each pre-defined option in the system. Using this feedback we developed binary features by abstracting the concepts that the Chinese culture experts used to determine the appropriateness of a response.…”

Section: ) Cultural Concept Abstractionmentioning

confidence: 99%

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Dialogue-Based Simulation For Cultural Awareness Training

Adewole,

Gharavi,

Shpringer

et al. 2020

Preprint

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Existing simulations designed for cultural and interpersonal skill training rely on pre-defined responses with a menu option selection interface. Using a multiple-choice interface and restricting trainees' responses may limit the trainees' ability to apply the lessons in real life situations. These systems, also rely on a simplistic evaluation model, where trainees' selected options are marked as either correct or incorrect. The model cannot capture sufficient information that could drive an adaptive feedback mechanism to improve trainees' cultural awareness. This paper describes the design of a dialogue-based simulation for cultural awareness training. The simulation, built around a disaster management scenario involving a joint coalition between the US and the Chinese armies. Trainees were able to engage in realistic dialogue with the Chinese agent. Their responses, at different points, get evaluated by different multi-label classification models. Based on training on our dataset, the models score the trainees' responses for their awareness of the Chinese culture. Trainees also get feedback that informs the cultural appropriateness of their responses. The result of this work showed the following; i) A feature-based evaluation model improves the design, modeling and computation of dialogue-based training simulation systems; ii) Output from current automatic speech recognition (ASR) systems gave comparable end results compared with the output from manual transcription; iii) A multi-label classification model trained as a cultural expert gave results which were comparable with scores assigned by human annotators.

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Section: A Data Collection Annotation and Scoring Methodsmentioning

confidence: 99%

Section: A Data Collection Annotation and Scoring Methodsmentioning

confidence: 99%

Section: Response Evaluation and Feedback Mechanismmentioning

confidence: 99%

Section: ) Cultural Concept Abstractionmentioning

confidence: 99%

See 2 more Smart Citations

Dialogue-Based Simulation For Cultural Awareness Training

Adewole,

Gharavi,

Shpringer

et al. 2020

Preprint

Self Cite

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“…Researchers are more and more willing to implement VR in the field of museology. In [27] the proprietary MARAT (Mobile Augmented Reality Authoring Tool) device was proposed, which allows mobile creation of complex interactive content in AR in WYSIWYG mode. Also in [29], a proposal of the VIRTUE system for creating 2D and 3D static and dynamic museum exhibitions was included.…”

Section: Introductionmentioning

confidence: 99%

Acceptation of the Developed Mobile Virtual Reality Visualisations of 3D Objects from the Area of the Silk Road

Montusiewicz¹,

Barszcz²,

Skulimowski³

et al. 2022

Adv. Sci. Technol. Res. J.

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The paper presents a process of testing a created virtual reality application for displaying the "Hujra", a room for students of the 17th century madrassa in the area of the Silk Road, together with interactive objects. The designed 3D objects had sufficiently small file sizes to be introduced into virtual reality, and the fully mobile application worked effectively using smartphones within the price group available to the average user. The application was presented to a group of students and researchers from Kyrgyzstan. In addition, objects not belonging to the Islamic culture were introduced into the students' room. Pilot tests confirmed the usefulness of the proposed solution of 3D modelling. Interviews with the participants of the experiment and the results of a survey showed that the virtual reality application was a very attractive form of presentation, especially for people belonging to Generation Z. The combination of the complexity of the project and its high availability via smartphones was considered a successful solution by those questioned.

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Status and Trend: The Application of Educational VR Games in Teaching Chinese as a Foreign Language

Luo

Jin

et al. 2022

Lecture Notes in Computer Science

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Investigating the effectiveness of virtual reality for cross-cultural competency training SIEDS 2018

Cited by 7 publications

References 11 publications

Dialogue-Based Simulation For Cultural Awareness Training

Dialogue-Based Simulation For Cultural Awareness Training

Acceptation of the Developed Mobile Virtual Reality Visualisations of 3D Objects from the Area of the Silk Road

Status and Trend: The Application of Educational VR Games in Teaching Chinese as a Foreign Language

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