Technology Forecasting Based on Semantic and Citation Analysis of Patents: A Case of Robotics Domain

Qiu, Zhipeng; Wang, Zheng

doi:10.1109/tem.2020.2978849

Cited by 18 publications

(5 citation statements)

References 53 publications

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“…The studies most related to our goal have mostly focused on product innovation and user reviews [40], technological opportunities and user needs [41], and the language of innovation in technological patent descriptions [21], as well as patent semantic analysis [42,43]. Although Natural Language Processing (NLP) provides direct evidence of innovation-seeking, it has its limitations due to the lack of proximity to the people creating these offers.…”

Section: Static Word Embedding Models In the Context Of Innovationmentioning

confidence: 99%

Seeking Innovation: The Research Protocol for SMEs’ Networking

Deja¹,

Huvila²,

Widén³

et al. 2023

Preprint

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Section: Static Word Embedding Models In the Context Of Innovationmentioning

confidence: 99%

Seeking Innovation: The Research Protocol for SMEs’ Networking

Deja¹,

Huvila²,

Widén³

et al. 2023

Preprint

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“…Electro was developed between 1937 and 1938 by the Westinghouse Electric Corporation, enabling today's modern humanoid robots to take shape, and was introduced at the New York Fair in 1939 (Qiu & Wang, 2020). In the early 1940s, Isaac Asimov and John Campbell proposed the idea of an intelligent robot that obeys and acts on human commands.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

Research to Determine the Potential Use of Humanoid (Anthropomorphic) Robots in Accommodation Facilities

Ük

Gültekin

Köksal

et al. 2023

Advances in Hospitality and Tourism Research (AHTR)

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Study participants evaluated the use of robots in general, and specifically the use of humanoid robots for 36 different job positions in accommodation establishments in Turkey. This exploratory study aimed to determine the positions in which it will be easier to adopt the use of robots in accommodation businesses. It also examined the role of the participant's gender and age regarding the potential use of robots. An online survey was used to collect data, and the data was obtained from 407 participants. Contrary to the theory of anthropomorphism, but consistent with the Uncanny Valley and social comparison theories, the results of the study showed that the participants were adamant that it was not appropriate to use robots for 25 of the job positions out of 36. Humanoid robots were considered appropriate for positions that provide cleaning services, perform takeaway and delivery services, or where customers do not interact one-on-one during their stay. It was concluded that young people evaluated the use of robots in the sector more positively than older people. Similarly, women tended to make more positive evaluations than men. The original value of this research is based on the lack of studies evaluating the potential of using robots for positions in accommodation establishments.

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“…An example of M is given in Table 4. To estimate TESs in M, the concept of similarity has been widely used in most related works [9,5,11,16,1,3]. The fundamental is to formulate a similarity measure between x and y using the aggregated similarities between x's top-k descriptive terms and y's top-k descriptive terms (often K=10) [19,3].…”

Section: Input Data Formatmentioning

confidence: 99%

TopicTracker: A Platform for Topic Trajectory Identification and Visualisation

Kang,

Sellis

2021

Preprint

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Topic trajectory information provides crucial insight into the dynamics of topics and their evolutionary relationships over a given time. Also, this information can help to improve our understanding on how new topics have emerged or formed through a sequential or interrelated events of emergence, modification and integration of prior topics. Nevertheless, the implementation of the existing methods for topic trajectory identification is rarely available as usable software. In this paper, we present TopicTracker, a platform for topic trajectory identification and visualisation.The key of TopicTracker is that it can represent the three facets of information together, given two kinds of input: a time-stamped topic profile consisting of the set of the underlying topics over time, and the evolution strength matrix among them: evolutionary pathways of dynamic topics, evolution states of the topics, and topic importance. TopicTracker is a publicly available software implemented using the R software.

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Technology Forecasting Based on Semantic and Citation Analysis of Patents: A Case of Robotics Domain

Cited by 18 publications

References 53 publications

Seeking Innovation: The Research Protocol for SMEs’ Networking

Seeking Innovation: The Research Protocol for SMEs’ Networking

Research to Determine the Potential Use of Humanoid (Anthropomorphic) Robots in Accommodation Facilities

TopicTracker: A Platform for Topic Trajectory Identification and Visualisation

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