Proper Kids Handling in the Light of Sunnah Nabawiyyah

The research aims to identify the concept of childhood and models of proper handling ofchildhood in education and error handling. The researcher used the descriptive-analytical method in describing the concept of childhood, analyzing the texts of the Prophetic hadiths, and devising the rules of proper dealing with children. This research consists of three demands and a conclusion, the first contains the basics of research, the second deals with the concept of childhood, and the third deals with three prophetictexts, and then the research conclusion with its findings and recommendations.

Using Different Error Handling Strategies to Facilitate Older Users’ Interaction With Chatbots in Learning Information and Communication Technologies

To support older users’ accessibility and learning of the prevalent information and communication technologies (ICTs), libraries, as informal learning institutes, are committed to information literacy education activities with friendly interfaces. Chatbots using Voice User Interfaces (VUIs) with natural and intuitive interactions have received growing research and practical attention; however, older users report regular frustrations and problems in using them. To serve as a basis for the subsequent design and development of an automated dialog mechanism in senior-friendly chatbots, a between-subject user experiment was conducted with 30 older adults divided into three groups. The preliminary findings on their interactions with the voice chatbots designed with different error handling strategies were reported. Participants’ behavioral patterns, performances, and the tactics they employed in interacting with the three types of chatbots were analyzed. The results of the study showed that the use of multiple error handling strategies is beneficial for older users to achieve effectiveness and satisfaction in human-robot interactions, and facilitate their attitude toward information technology. This study contributes empirical evidence in the genuine and pragmatic field of gerontechnology and expands upon voice chatbots research by exploring conversation errors in human-robot interactions that could be of further application in designing educational and living gerontechnology.

Exploring customer satisfaction in cold chain logistics using a text mining approach

PurposeWith the fierce competition in the cold chain logistics market, achieving and maintaining excellent customer satisfaction is the key to an enterprise's ability to stand out. This research aims to determine the factors that affect customer satisfaction in cold chain logistics, which helps cold chain logistics enterprises identify the main aspects of the problem. Further, the suggestions are provided for cold chain logistics enterprises to improve customer satisfaction.Design/methodology/approachThis research uses the text mining approach, including topic modeling and sentiment analysis, to analyze the information implicit in customer-generated reviews. First, latent Dirichlet allocation (LDA) model is used to identify the topics that customers focus on. Furthermore, to explore the sentiment polarity of different topics, bi-directional long short-term memory (Bi-LSTM), a type of deep learning model, is adopted to quantify the sentiment score. Last, regression analysis is performed to identify the significant factors that affect positive, neutral and negative sentiment.FindingsThe results show that eight topics that customer focus are determined, namely, speed, price, cold chain transportation, package, quality, error handling, service staff and logistics information. Among them, speed, price, transportation and product quality significantly affect customer positive sentiment, and error handling and service staff are significant factors affecting customer neutral and negative sentiment, respectively.Research limitations/implicationsThe data of the customer-generated reviews in this research are in Chinese. In the future, multi-lingual research can be conducted to obtain more comprehensive insights.Originality/valuePrior studies on customer satisfaction in cold chain logistics predominantly used questionnaire method, and the disadvantage of which is that interviewees may fill out the questionnaire arbitrarily, which leads to inaccurate data. For this reason, it is more scientific to discover customer satisfaction from real behavioral data. In response, customer-generated reviews that reflect true emotions are used as the data source for this research.

Scientific Error and Error Handling

Error is a common part of scientific practice, which must be accounted for by scientonomy. A scientific error occurs when an agent accepts a theory that should not have been accepted given that agent’s employed method. One might suspect that the handling of scientific error seems to violate the theory rejection theorem according to which a theory becomes rejected only when other theories that are incompatible with the theory become accepted, because it appears as though a theory isn’t replaced by anything. Here, we analyze several instances of scientific error and show that error handling, when properly analyzed, is fully consistent with the theory rejection theorem. We show that instances of scientific error typically involve the rejection of an erroneous conclusion as well as one or more of the premises of the argument that leads to that erroneous conclusion. In most cases, first-order propositions of the original erroneously accepted theory are replaced by other first-order propositions incompatible with them. In some cases, however, first-order propositions are replaced by second-order propositions asserting the lack of sufficient reason for accepting these first-order propositions. In both cases, such a replacement is fully consistent with the theory rejection theorem.