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Understanding customers' revisiting behavior is highlighted in the field of service industry and the emergence of online communities has enabled customers to express their prior experience. Thus, purpose of this study is to investigate customers' reviews on an online hotel reservation platform, and explores their postbehaviors from their reviews.

The authors employ two different approaches and compare the accuracy of predicting customers' post behavior: (1) using several machine learning classifiers based on sentimental dimensions of customers' reviews and (2) conducting the experiment consisted of two subsections. In the experiment, the first subsection is designed for participants to predict whether customers who wrote reviews would visit the hotel again (referred to as Prediction), while the second subsection examines whether participants want to visit one of the particular hotels when they read other customers' reviews (dubbed as Decision).

The accuracy of the machine learning approaches (73.23%) is higher than that of the experimental approach (Prediction: 58.96% and Decision: 64.79%). The key reasons of users' predictions and decisions are identified through qualitative analyses.

The findings reveal that using machine learning approaches show the higher accuracy of predicting customers' repeat visits only based on employed sentimental features. With the novel approach of integrating customers' decision processes and machine learning classifiers, the authors provide valuable insights for researchers and providers of hospitality services.

The purpose of this paper is to present a novel multimodal approach to the problem of planning and performing a reliable grasping action on unmodeled objects.

The robotic system is composed of three main components. The first is a conceptual manipulation framework based on grasping primitives. The second component is a visual processing module that uses stereo images and biologically inspired algorithms to accurately estimate pose, size, and shape of an unmodeled target object. A grasp action is planned and executed by the third component of the system, a reactive controller that uses tactile feedback to compensate possible inaccuracies and thus complete the grasp even in difficult or unexpected conditions.

Theoretical analysis and experimental results have shown that the proposed approach to grasping based on the concurrent use of complementary sensory modalities, is very promising and suitable even for changing, dynamic environments.

Additional setups with more complicate shapes are being investigated, and each module is being improved both in hardware and software.

This paper introduces a novel, robust, and flexible grasping system based on multimodal integration.

Despite the increasing popularity and interest in remote pointing devices such as Wii remote controllers, there have been few studies that find and evaluate the users' psychological aspects of technology acceptance. This study uses the technology acceptance model (TAM) framework with the two external variables of perceived mobility and control.

The authors conducted an experiment with 409 participants to test the research model and employed structural equation modelling as the analysis method.

The results show that perceived mobility and control were significant determinants of perceived ease of use and perceived usefulness. Moreover, perceived usefulness is significantly influenced by perceived ease of use and, further, perceived usefulness and ease of use played a significant role in affecting the attitude towards the technology. Finally, the results also reveal that attitude and perceived usefulness positively influence the intention to use the remote pointing device.

This paper is of value to researchers, engineers and designers designing and developing remote pointing technologies and their devices for use in our society.

The purpose of this paper is to understand users' acceptance of service robots by integrating perceived enjoyment of service robots and users' need to belong in a technology acceptance model (TAM) framework. Service robots are currently being used in homes and firms to provide various services.

The authors conducted a web‐based survey from 904 users in South Korea to test a research model and employed structural equation modelling as the analysis method.

This study found that perceived enjoyment and the need to belong played an important role in the perceived ease of use and usefulness of service robots. Furthermore, it was discovered that the research supported relationships proposed by the original TAM with regard to users' attitudes and intentions to use service robots. Therefore, this study provides a framework to understand users' acceptance of service robots.

This paper is of value to researchers designing and improving service robots for use in our society.