Comparison of Quantitative Proxemics to measure trust in HRI / (Record no. 607358)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03168nam a22001697a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | NUST |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 629.8 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Ahmad, Fatima |
| 245 ## - TITLE STATEMENT | |
| Title | Comparison of Quantitative Proxemics to measure trust in HRI / |
| Statement of responsibility, etc. | Fatima Ahmad |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Islamabad : |
| Name of producer, publisher, distributor, manufacturer | SMME- NUST; |
| Date of production, publication, distribution, manufacture, or copyright notice | 2023. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 45p. ; |
| Other physical details | Soft Copy |
| Dimensions | 30cm. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | With the increase in the affordability of robots and development in the robotics field, humans have<br/>to work in collaboration with robots in many domestic and industrial tasks. With these<br/>advancements in the robotics field, it is required to address the challenge of creating a trustworthy<br/>environment. However, while working with robots, it is necessary to maintain some distance from<br/>the robot to ensure the safety and comfort of a human. To address this problem, we proposed a<br/>virtual reality (VR) based human-robot interaction (HRI) task where we can practice interaction<br/>between humans and humanoid robots to analyze the trust of humans in robots in terms of social<br/>interaction parameters such as the distance of the robot from the human while moving towards the<br/>human. In our research, we show a novel idea to measure the trust of human in a robot through<br/>EEG signals and then compare it with the real-world HRI task. The comfortable distance while<br/>interacting with the robot is determined through Brain Computer Interface (BCI). Along with the<br/>use of survey-based assessment of the subject, a standard, and more efficient BCI system is also<br/>used to record the users' brain activity in different HRI zones for the study of human emotional<br/>state in these zones. Real-time data is required to analyze the effect of social parameters such as<br/>the speed of the robot and the comfortable distance on human mental state and this is done by<br/>collecting the electroencephalography (EEG) signals of the participants while they are performing<br/>the HRI tasks in both VR and real world. The questionnaire is used to compare the results of the<br/>BCI for each subject. Experimental results showed that the level of closeness between the robot<br/>and the human can affect the way that the human perceives and interacts with the robot. According<br/>to the BCI results most of the participants felt comfortable when the robot enters their personal<br/>zone with 28% relaxation and 26% stress level as compared to when the robot entered their<br/>intimate zone and the stress level increased to 32% and relaxation decreased to 25%. Participants<br/>trust virtual robots more than real robots as they are more comfortable in VR interaction as<br/>compared to interacting with real robots. BCI results proved that training in the VR framework<br/>improves the real-world HRI experience. This study provides valuable insights into the human's<br/>cognitive and emotional response to different HRI zones and highlights the importance of<br/>considering social parameters, such as proximity, in the design and development of robots for<br/>humans. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | MS Robotics and Intelligent Machine Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervisor : Dr. Sara Ali |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://10.250.8.41:8080/xmlui/handle/123456789/34054">http://10.250.8.41:8080/xmlui/handle/123456789/34054</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Thesis |
| Withdrawn status | Permanent Location | Current Location | Shelving location | Date acquired | Full call number | Barcode | Koha item type |
|---|---|---|---|---|---|---|---|
| School of Mechanical & Manufacturing Engineering (SMME) | School of Mechanical & Manufacturing Engineering (SMME) | E-Books | 12/13/2023 | 629.8 | SMME-TH-860 | Thesis |