Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/138466
Title: Can a humanoid robot be part of the organizational workforce? A user study leveraging sentiment analysis
Authors: Mishra, Nidhi
Ramanathan, Manoj
Satapathy, Ranjan
Cambria, Erik
Magnenat-Thalmann, Nadia
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Mishra, N., Ramanathan, M., Satapathy, R., Cambria, E., & Magnenat-Thalmann, N. (2019). Can a humanoid robot be part of the organizational workforce? A user study leveraging sentiment analysis. Proceedings of the 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 0138-. doi:10.1109/RO-MAN46459.2019.8956349
Abstract: Hiring robots for the workplaces is a challenging task as robots have to cater to customer demands, follow organizational protocols and behave with social etiquette. In this study, we propose to have a humanoid social robot, Nadine, as a customer service agent in an open social work environment. The objective of this study is to analyze the effects of humanoid robots on customers in a work environment, and see if it can handle social scenarios. We propose to evaluate these objectives through two modes, namely: survey questionnaire and customer feedback. The survey questionnaires are analyzed based on the datapoints provided in the questionnaire. We propose a novel approach to analyze customer feedback data using sentic computing. Specifically, we employ aspect extraction and sentiment analysis to analyze the data. From our framework, we detect sentiment associated to the aspects that mainly concerned the customers during their interaction. This allows us to understand customers expectations and current limitations of robots as employees.
URI: https://hdl.handle.net/10356/138466
DOI: 10.1109/RO-MAN46459.2019.8956349
Rights: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/RO-MAN46459.2019.8956349
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:IMI Conference Papers

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