Artificial intelligence (AI) and robotics in travel, hospitality and leisure

Koo, Chulmo; Xiang, Zheng; Gretzel, Ulrike; Σιγάλα, Μαριάννα

doi:10.1007/s12525-021-00494-z

Cited by 39 publications

(22 citation statements)

References 13 publications

(11 reference statements)

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“…Besides the interview, the present issue includes a total of 13 papers with eight belonging to the special issue on AI and robotics in the THL field. These contributions address several issues of robotics that were mentioned above and will be introduced in the separate preface, which was authored by the guest editors Chulmo Koo, Zheng Xiang, Ulrike Gretzel, and Marianna Sigala (Koo et al, 2021). They see the post-pandemic THL industry on the verge of important transformations that affect both customer as well as provider interaction and also call for more multidisciplinary research.…”

Section: Articles Of Present Issuementioning

confidence: 99%

Electronic Markets on robotics

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2021

Electron Markets

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This issue of Electronic Markets includes a comprehensive special issue section on artificial intelligence (AI) and robotics in travel, hospitality and leisure (THL). THL may be conceived as sub-sectors of the tourism industry, which Cook et al. (2018) compare to an elephant: "diverse and sometimes hard to describe, but, just like the elephant, too big to be ignored" (p. 6). Among the areas they mention are attractions and entertainment, food and beverage, accommodations, destinations, travel agencies and transportation. The information systems literature has recognized the elephant since many decades and Electronic Markets has published the first set of articles already in its second year of appearance, which dates back to 1992. This special issue in volume two was on "electronic markets in the tourism industry" and included six (short) papers, while a second special issue on "electronic markets in tourism" with eight papers followed in 1996 and a third special issue on "smart tourism" with five papers in 2015. As shown in Table 1, the topics of most of these papers revolved around applying information systems for marketing, sales and distribution purposes in the respective sub-fields of tourism. This is not surprising since the tasks related to the tourism areas primarily consist of information. In supporting coordination, the activities of marketing, sales and distribution are largely based on information and as already mentioned by Nicholas Negroponte in his seminal book "Being digital", substituting analog with digital information technologies has fundamental transformation power. Compared to atoms, bits will not wear out, they may be reproduced at zero cost and they move at light speed (Negroponte, 1995). Among the early examples that illustrate the implications on tourism are the computerized reservation systems (CRS) that spread from airlines to destinations, hotels or cars and changed the industry structures with new actors (e.g. CRS spinoffs, online travel agencies) as well as new products and processes (e.g. self-booking, co-creation). At the same time, Negroponte mentions that "bits are not edible. In that sense, they cannot stop hunger" (Negroponte, 1995, p. 228). For tourism, this is obvious in the restaurant sector, where food will not be amenable to virtualization, but it also applies to many other sectors in tourism that comprise a physical component, such as accommodation or physical transportation.

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Section: Articles Of Present Issuementioning

confidence: 99%

Electronic Markets on robotics

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2021

Electron Markets

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“…It is added at the input end of the recognition system, and after the preprocessing stage is completed, the features of the speech signal are extracted, and the required model is created on top of this. Such a process is called the training process [15].…”

Section: 32mentioning

confidence: 99%

Automatic Error Detection Method of Embedded English Speech Teaching Recognition System under the Background of Artificial Intelligence

2022

Mobile Information Systems

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The embedded English speech teaching recognition system is a technology that writes the English speech recognition device control program into the chip and embeds the chip into the device, so that the human-like chip controls the English speech device to complete the speech recognition operation. Applying the embedded technology to the English speech recognition system can improve the recognition accuracy of the system to a higher level in terms of recognizing the English speech of a specific person. The purpose of this paper is to research and design an automatic error detection method for embedded English speech teaching recognition system in the context of artificial intelligence. This paper first gives a general introduction to the overview of artificial intelligence, then analyzes the speech recognition algorithm, uses MatLab software to obtain the correct number of recognition system words and the correct rate, and then implements the embedded English teaching recognition system in different environments. The experimental results of comparison through multiple test analysis show that in a quiet environment, the error rate of the embedded English speech teaching recognition system is very low, and the correct recognition rate can reach more than 90%. In a noisy environment affected by various noises, the correct recognition rate of the embedded English speech teaching recognition system is basically above 60%.

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“…Unlike the available computational devices, the ARTICLE Nanoscale 2 | J. Name., 2012, 00, [1][2][3] This journal is © The Royal Society of Chemistry 20xx…”

Section: Introductionmentioning

confidence: 99%