Analysis of Computer Aided Interaction Design Based on Virtual Reality Technology Article Swipe
YOU?
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· 2024
· Open Access
·
· DOI: https://doi.org/10.26562/ijirae.2024.v1112.12
The conventional method of computer-aided interaction design faces challenges due to ambiguous user experience characteristics, resulting in a reduced number of identifiable frames. To address this issue, a novel computer-aided interaction design approach utilizing virtual reality technology has been developed. This method facilitates communication through visual computing, enabling the acquisition of feedback structures from computer vision. It allows for the mapping of human body contours and the extraction of user experience characteristics via virtual reality technology. Additionally, it measures the time required for reading and generating pertinent information, thereby constructing an effective computer-aided interaction mode. Experimental findings reveal that the average frame identification rates achieved by the proposed method are approximately 81(fps), 74(fps), and 72(fps), respectively. These results, when we will compare with two other computer-aided interaction methods, demonstrate that the integration of virtual reality technology significantly enhances performance. This review revealed that the majority of studies are centered on practical case analyses within specific application scenarios, employing empirical evaluation methods to assess objective or subjective metrics. We then concentrated on elucidating the foundational principles of interface design and their evaluation methodologies, providing a reference for future research endeavors. Additionally, the limitations, challenges, and future directions in VR interaction interface design research were discussed, highlighting the need for further research in design evaluation to continuously refine the development of standards and guidelines for VR interactive interface design.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.26562/ijirae.2024.v1112.12
- OA Status
- diamond
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4405447200Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.26562/ijirae.2024.v1112.12Digital Object Identifier
- Title
-
Analysis of Computer Aided Interaction Design Based on Virtual Reality TechnologyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-12-16Full publication date if available
- Authors
-
A. Pal, Anish, Ashish Kumar Pandey, Tejendra Riya, Suresh Tiwari, Uma ShankerList of authors in order
- Landing page
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https://doi.org/10.26562/ijirae.2024.v1112.12Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.26562/ijirae.2024.v1112.12Direct OA link when available
- Concepts
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Computer science, Human–computer interaction, Virtual reality, Interface (matter), Frame (networking), Interaction technique, Computer-aided, Identification (biology), Computer Aided Design, User experience design, Interaction design, Multimedia, Artificial intelligence, Gesture, Programming language, Parallel computing, Telecommunications, Biology, Operating system, Bubble, Maximum bubble pressure method, BotanyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.computer | 54 |
| abstract_inverted_index.contours | 64 |
| abstract_inverted_index.enabling | 47 |
| abstract_inverted_index.enhances | 137 |
| abstract_inverted_index.feedback | 51 |
| abstract_inverted_index.findings | 96 |
| abstract_inverted_index.majority | 144 |
| abstract_inverted_index.measures | 78 |
| abstract_inverted_index.methods, | 127 |
| abstract_inverted_index.metrics. | 166 |
| abstract_inverted_index.proposed | 107 |
| abstract_inverted_index.required | 81 |
| abstract_inverted_index.research | 187, 201, 209 |
| abstract_inverted_index.results, | 117 |
| abstract_inverted_index.revealed | 141 |
| abstract_inverted_index.specific | 154 |
| abstract_inverted_index.ambiguous | 11 |
| abstract_inverted_index.effective | 91 |
| abstract_inverted_index.empirical | 158 |
| abstract_inverted_index.employing | 157 |
| abstract_inverted_index.interface | 176, 199, 225 |
| abstract_inverted_index.objective | 163 |
| abstract_inverted_index.pertinent | 86 |
| abstract_inverted_index.practical | 150 |
| abstract_inverted_index.providing | 182 |
| abstract_inverted_index.reference | 184 |
| abstract_inverted_index.resulting | 15 |
| abstract_inverted_index.standards | 219 |
| abstract_inverted_index.utilizing | 33 |
| abstract_inverted_index.challenges | 8 |
| abstract_inverted_index.computing, | 46 |
| abstract_inverted_index.developed. | 39 |
| abstract_inverted_index.directions | 195 |
| abstract_inverted_index.discussed, | 203 |
| abstract_inverted_index.endeavors. | 188 |
| abstract_inverted_index.evaluation | 159, 180, 212 |
| abstract_inverted_index.experience | 13, 70 |
| abstract_inverted_index.extraction | 67 |
| abstract_inverted_index.generating | 85 |
| abstract_inverted_index.guidelines | 221 |
| abstract_inverted_index.principles | 174 |
| abstract_inverted_index.scenarios, | 156 |
| abstract_inverted_index.structures | 52 |
| abstract_inverted_index.subjective | 165 |
| abstract_inverted_index.technology | 36, 135 |
| abstract_inverted_index.acquisition | 49 |
| abstract_inverted_index.application | 155 |
| abstract_inverted_index.challenges, | 192 |
| abstract_inverted_index.demonstrate | 128 |
| abstract_inverted_index.development | 217 |
| abstract_inverted_index.elucidating | 171 |
| abstract_inverted_index.facilitates | 42 |
| abstract_inverted_index.integration | 131 |
| abstract_inverted_index.interaction | 5, 30, 93, 126, 198 |
| abstract_inverted_index.interactive | 224 |
| abstract_inverted_index.technology. | 75 |
| abstract_inverted_index.Experimental | 95 |
| abstract_inverted_index.concentrated | 169 |
| abstract_inverted_index.constructing | 89 |
| abstract_inverted_index.continuously | 214 |
| abstract_inverted_index.conventional | 1 |
| abstract_inverted_index.foundational | 173 |
| abstract_inverted_index.highlighting | 204 |
| abstract_inverted_index.identifiable | 21 |
| abstract_inverted_index.information, | 87 |
| abstract_inverted_index.limitations, | 191 |
| abstract_inverted_index.performance. | 138 |
| abstract_inverted_index.Additionally, | 76, 189 |
| abstract_inverted_index.approximately | 110 |
| abstract_inverted_index.communication | 43 |
| abstract_inverted_index.respectively. | 115 |
| abstract_inverted_index.significantly | 136 |
| abstract_inverted_index.computer-aided | 4, 29, 92, 125 |
| abstract_inverted_index.identification | 102 |
| abstract_inverted_index.methodologies, | 181 |
| abstract_inverted_index.characteristics | 71 |
| abstract_inverted_index.characteristics, | 14 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 6 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.800000011920929 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.50141148 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |