Abstract
This study aims to illustrate the importance of patent data mining as a tool to analyse the innovation growth of robotic pets across time, countries and patent types. Such an approach differs very much from the traditional academic strategies which often technology centric focusing on validating incremental technical contributions with respect to a pet robotic system. To conduct this study, patents of robotic pets were retrieved and analysed. A period of 5 years, from 2009 to 2014, was defined as the time of reference to which the patents were extracted from the relevant patents database for analysis. The patent office of which the patents are registered and patent types were also used as indicators to further segregate the patents found in the database. The search gave a total return of 82 patents that were documented. Analysis done found that distribution trends indicates an overall increase in technology advancement made by companies, academic institutions and individuals from various countries to robotic pets. The results summarized in this paper is set to greatly benefit the policy makers in government agencies, and entrepreneurs to effectively manage the growth of this emerging market of robotic pet products.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Sheba, J.K., Mohan, R.E., Garcia, E.A.M.: Easiness of acceptance metric for effective human robot interactions in therapeutic pet robots. In: 7th IEEE Conference on Industrial Electronics and Applications (ICIEA), pp. 150–155. IEEE (2012)
Tan, Y.K., Wong, A., Wong, A., Dung, T.A., Tay, A., Kumar, D.L., Dat, T.H., Ng, W.Z., Yan, R., Tay, B.: Evaluation of the pet robot CuDDler using godspeed questionnaire. In: Kobayashi, J.B.H., Abdulrazak, L.W.B., Mokhtari, M. (eds.) Inclusive Society: Health and Wellbeing in the Community, and Care at Home, pp. 102–109. Springer, Berlin (2013)
Saint-Aimé, S., Le-Pevedic, B., Duhaut, D., Shibata, T.: EmotiRob: companion robot project. In: The 16th IEEE International Symposium on Robot and Human interactive Communication. RO-MAN 2007, pp. 919–924. IEEE (2007)
Friedman, B., Kahn Jr, P.H., Hagman, J.: Hardware companions?: what online AIBO discussion forums reveal about the human-robotic relationship. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 273–280. ACM (2003)
Dulakakhoria, S., Jana, T.: Mapping innovation growth in the sports industry through patent data mining. J. Intellect. Property Rights 18, 410–418 (2013)
Kuester, J.R., Horstemeyer, S.A., Santos, D.J.: New frontier in patents: patent claims to propagated signals. A. J. Marshall J. Comput. Info. Law 17, 75 (1998)
Wada, K., Shibata, T.: Living with seal robots—its sociopsychological and physiological influences on the elderly at a care house. IEEE Trans. Rob. 23(5), 972–980 (2007)
Beneito, Pilar: The innovative performance of in-house and contracted R&D in terms of patents and utility models. Res. Policy 35(4), 502–517 (2006)
U.S. Patent and Trademark Office: Types of patents. Retrieved from http://www.uspto.gov/web/offices/ac/ido/oeip/taf/patdesc.htm (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer India
About this paper
Cite this paper
Hwee, T.K., Elara, M.R., Sosa, R., Tan, N. (2015). Analysing the Innovation Growth of Robotic Pets Through Patent Data Mining. In: Chakrabarti, A. (eds) ICoRD’15 – Research into Design Across Boundaries Volume 2. Smart Innovation, Systems and Technologies, vol 35. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2229-3_31
Download citation
DOI: https://doi.org/10.1007/978-81-322-2229-3_31
Published:
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-2228-6
Online ISBN: 978-81-322-2229-3
eBook Packages: EngineeringEngineering (R0)