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What do people expect from robots?
Open accessAbstract
The study presented in this paper explores people perception of robots, with a particular focus on domestic use. We addressed issues related to positive and negative attitudes toward robots, needs for domestic robots as well as preferences in terms of appearance and interaction modalities. We used a combined qualitative and quantitative approach using interviews and questionnaires. In total, 240 people participated in our survey. Results indicate that a large proportion of participants have a very positive attitude towards robots. They expect concrete help for a variety of tasks from these devices. They prefer a small machine and they would like to interact with robots using speech.
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Cited by
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Developing and validating a service robot integration willingness scale
Lu, L., Cai, R., & Gursoy, D. (2019) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2019.01.005 · Cited by 1,013
Industry 5.0 and Human-Robot Co-working
Demir, K. A., Döven, G., & Sezen, B. (2019) · Procedia Computer Science · doi:10.1016/j.procs.2019.09.104 · Cited by 746
Service robots: value co-creation and co-destruction in elderly care networks
Čaić, M., Odekerken-Schröder, G., & Mahr, D. (2018) · Journal of Service Management · doi:10.1108/josm-07-2017-0179 · Cited by 377
HERB: a home exploring robotic butler
Srinivasa, S. S., Ferguson, D., Helfrich, C. J., Berenson, D., Collet, A., Diankov, R., Gallagher, G., Hollinger, G., Kuffner, J., & Weghe, M. V. (2010) · Autonomous Robots · doi:10.1007/s10514-009-9160-9 · Cited by 306
Metadata
- Authors
- Ray, C., Mondada, F., & Siegwart, R.
- Venue
- 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems
- Publisher
- IEEE
- Published
- 2008-09
- Pages
- 3816-3821
- OpenAlex
- W2096454110
- Cited by
- 228
- References
- 0
- FWCI
- 13.69
- Type
- conference paper
- Language
- en
- Open access
- green
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- Ray, C., Mondada, F., & Siegwart, R. (2008). What do people expect from robots? 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems. https://doi.org/10.1109/iros.2008.4650714
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
