Conference proceeding
The Effect of Anthropomorphization and Gender of a Robot on Human-Robot Interactions
Advances in Neuroergonomics and Cognitive Engineering, v 953, pp 357-362
12 Jun 2019
Abstract
The popularity of assistant robots has increased in the recent past. Past research has looked at the effect of anthropomorphization of robots and considered the consumers' gender as an important factor. However, research has not examined the interaction between a robot's gender and its level of anthropomorphization on human-robot interactions. Our results indicate that males and females perceive a service failure differently depending upon the level of anthropomorphization of the robots involved in the failure.
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Details
- Title
- The Effect of Anthropomorphization and Gender of a Robot on Human-Robot Interactions
- Creators
- Hongjun Ye (Corresponding Author) - Drexel UniversityHaeyoung Jeong - Drexel UniversityWenting Zhong - Drexel UniversitySiddharth Bhatt - Drexel UniversityKurtulus Izzetoglu - Drexel UniversityHasan Ayaz - Drexel UniversityRajneesh Suri - Drexel University
- Contributors
- H Ayaz (Editor) - Drexel University
- Publication Details
- Advances in Neuroergonomics and Cognitive Engineering, v 953, pp 357-362
- Conference
- AHFE 2019 International Conference on Neuroergonomics and Cognitive Engineering, and the AHFE International Conference on Industrial Cognitive Ergonomics and Engineering Psychology (Washington, District of Columbia, United States, 24 Jul 2019–28 Jul 2019)
- Series
- Advances in Intelligent Systems and Computing; 953
- Publisher
- Springer Nature
- Number of pages
- 6
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Bennett S. LeBow College of Business; School of Biomedical Engineering, Science, and Health Systems; Marketing
- Web of Science ID
- WOS:000502759200034
- Scopus ID
- 2-s2.0-85067658410
- Other Identifier
- 991019168397904721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Neurosciences