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The purpose of this paper is to investigate the understanding of industrial safety signs and messages by registered and non‐registered safety officers in Hong Kong with ten different user factors, and examine the relationship between cognitive sign features and sign comprehensibility.

The research methodology includes the survey development and appropriate statistical analyses. In total, 92 Hong Kong Chinese participated voluntarily in the study. A questionnaire survey was used to collect information about demographics, personal experience on safety and health issues, experience of reviewing safety sign information, comprehension scores, and the ratings of sign features for 30 industrial safety signs used in Hong Kong. The effect of ten user factors on sign understanding for the design of highly usable safety signs was examined.

Of the ten factors tested, only the factor of possession of registered safety officer (RSO) status was a significant predictor of comprehension performance. As expected, comprehension scores varied with the cognitive sign features of familiarity, concreteness, simplicity, and meaningfulness.

The currently used industrial safety signs should be redesigned as soon as possible, with careful consideration of cognitive sign features. To make the results more generally applicable, further research is needed to collect more data, particularly from females.

This research suggests that an effective education program for promoting the intended messages of industrial safety signs in various industries and work environments should be conducted as soon as possible. Safety officers, especially those who work in the construction industry need to play a more prominent role in ensuring workplace safety, and in transferring safety knowledge to the workers.

There is a need to enhance RSOs' risk perception and to increase awareness of the importance of safety signs through training programs, so as to improve workplace safety and organizational safety culture. The redesigned safety signs need to be launched with a public education program.

The paper's findings emphasize the need to create awareness of the importance of industrial safety and promote understanding of safety sign meanings amongst people in their work environments. Useful information for the design and use of safety signs was generated.

Prior studies have shown that terminology support can improve health information retrieval but have not taken into account the characteristics of the user performing the search. In this chapter, the impact of translating queries’ terms between lay and medico-scientific terminology, in users with different levels of health literacy and topic familiarity, is evaluated. Findings demonstrate that medico-scientific queries demand more from the users and are mostly aimed at health professionals. In addition, these queries retrieve documents that are less readable and less well understood by users. Despite this, medico-scientific queries are associated with higher precision in the top-10 retrieved documents results and tend slightly to generate knowledge with less incorrect contents, the researchers concluded that search engines should provide query suggestions with medico-scientific terminology, whenever the user is able to digest it, that is, in users above the lowest levels of health literacy and topic familiarity. On the other hand, retrieval systems should provide lay alternative queries in users with inadequate health literacy or in those unfamiliar with a topic. In fact, the quantity of incorrect contents in the knowledge that emerges from a medico-scientific session tends to decrease with topic familiarity and health literacy. In terms of topic familiarity, the opposite happens with Graded Average Precision. Moreover, users most familiar with a topic tend to have higher motivational relevance with medico-scientific queries than with lay queries. This work is the first to consider user context features while studying the impact of a query processing technique in several aspects of the retrieval process, including the medical accuracy of the acquired knowledge.

Accounting is a complex system, comprising numerous items and transactions that are interrelated in various ways. Management’s decisions are reflected in accounting information. The user of accounting information has a real need to comprehend such information in order to make informed decisions. The research reported in this article reveals that when the directors’ report fully complies with the letter and context of the Companies Act, it should be used as: a communication tool to enhance comprehensibility; as a mechanism to explain the economic reality of the company; and as a vehicle to reduce the gap between accounting information and the user. It should therefore be used as a knowledge‐creating statement, which the various stakeholders of the company can tap into.

This research has developed a one-stop service supply chain mobile application for the purpose of marketing, product distribution and location-based logistics for elderly farmers and consumers in accordance with the Thailand 4.0 economic model. This is an investigation into the agricultural product distribution supply chain which focuses on marketing, distribution and logistics using the Dijkstra’s and Ant Colony Algorithms to respectively explore the major and minor product transport routes. The accuracy rate was determined to be 97%. The application is congruent with the product distribution, supply chain, in a value-based economy. The effectiveness of the mobile application was indicated to be at the highest level of results of learning outcomes, user comprehension and user experience of users. That is, the developed mobile application could be effectively used as a tool to support elderly farmers to distribute their agricultural products in the one-stop service supply chain which emphasizes marketing, distribution and location-based logistics for elderly farmers and consumers with respect to Thailand 4.0.

Proposes ways to improve human‐computer interaction by presenting system information to users in ways which conform to their own learning models. First, describes problems of novice users and makes recommendations for addressing their difficulties, then relates types of computer presentation media to users′ learning styles. Concludes that some problems encountered by novice users can be overcome by presenting information in ways that users easily understand.

The aim of this study is to explore, identify and understand the impact of technology affordance in the context of social networking sites (SNSs). Moreover, this study incorporates user experience as a moderator, in order to explore behavioral differences between veterans (high-experience users) and newbies (low-experience users).

A research model was developed to examine the influences of three technology affordances: interactivity, information and navigation on user satisfaction and SNS stickiness. Totally 266 data were collected from a famous college in China using an online survey, and structural equation modeling technique was used to examine the proposed research model.

The empirical research findings indicated that the three technology affordance attributes exhibited different degrees of influence on user satisfaction, which in turn facilitated SNS stickiness. Particularly, high-experience users were more likely influenced by interactivity and information affordances, while low-experience users are more susceptible to navigation affordance.

This study can provide guidelines to the platform administrators to design SNSs from the aspects of interactivity, information and navigation attributes and pay attention to the preference differences between high-experience users and low-experience users.

This study uncovers the significant antecedents of SNS stickiness from a technology affordance lens and reveals the moderating effect of user experience on the relationship between three technology affordance attributes and satisfaction.

Data visualizations in some form or another have served as decision-support tools for many centuries. In conjunction with advancements in information technology, data visualizations have become more accessible and more efficient to generate. In fact, virtually all enterprise resource planning and human resource (HR) information system vendors offer off-the-shelf data visualizations as part of decision-support dashboards as well as stand-alone images and displays for reporting. Plus, advances in programing languages and software such as Tableau, Microsoft Power BI, R, and Python have expanded the possibilities of fully customized graphics. Despite the proliferation of data visualization, relatively little is known about how to design data visualizations for displaying different types of HR data to different user groups, for different purposes, and with the overarching goal of improving the ways in which users comprehend and interpret data visualizations for decision-making purposes. To understand the state of science and practice as they relate to HR data visualizations and data visualizations in general, we review the literature on data visualizations across disciplines and offer an organizing framework that emphasizes the roles data visualization characteristics (e.g., display type, features), user characteristics (e.g., experience, individual differences), tasks, and objectives (e.g., compare values) play in user comprehension, interpretation, and decision-making. Finally, we close by proposing future directions for science and practice.

This paper aims to assess the usability of electronic books (e‐books) and paper books (p‐books) with objective measures, including user comprehension, eye fatigue, and perception.

A total of 56 sixth‐year public school students participated in this study. This paper was conducted in the following order: pre‐CFF measurement, p‐/e‐book reading, post‐CFF measurement, quiz, and questionnaire. A standard CFF device, a computer with a monitor for reading e‐books, p‐books, desks, and chairs were provided.

This paper found that there is a significant “book effect” on quiz scores; compared to e‐books, p‐books appear to enable better reading comprehension. Regarding eye fatigue, students had significantly greater eye fatigue after reading e‐books than after reading p‐books. Students were satisfied with the e‐book, but they preferred p‐books.

Students would show satisfaction with e‐books and acknowledge their usefulness, but still prefer p‐books. However, a clearer understanding of this paradox in perception is needed. Further studies should try to explore the students' perceptions of e‐books.

Surprisingly, though, Korean students studied herein, who have had a higher level of exposure to technology than those in other countries, did not show positive behavioral intentions toward e‐books. Overall, the responses from the Korean students suggest that there was general satisfaction with reading e‐books on screen. However, this study also found a discordance in the students' perceptions of e‐books. In this study, most students grew tired of reading on the screen; this tiredness could have an adverse effect on both reading comprehension and the perception of e‐books. In further analyzing user responses, many of the critical remarks were found to refer to the screen/text size or clarity rather than to the e‐book itself.

Although this study suggests that students in general are not yet ready to entirely give up p‐books, e‐books are becoming increasingly common. However, great challenges remain in terms of making e‐book content more available and in enabling improved comprehension and reducing eye fatigue.

The purpose of this research is to investigate user comprehension of ambiguous terminology in password rules. Although stringent password policies are in place to protect information system security, such complexity does not have to mean ambiguity for users. While many aspects of passwords have been studied, no research to date has systematically examined how ambiguous terminology affects user comprehension of password rules.

This research used a combination of quantitative and qualitative methods in a usable security study with 60 participants. Study tasks contained password rules based on real-world password requirements. Tasks consisted of character-selection tasks that varied the terms for non-alphanumeric characters to explore users’ interpretations of password rule language, and compliance-checking tasks to investigate how well users can apply their understanding of the allowed character space.

Results show that manipulating password rule terminology causes users’ interpretation of the allowed character space to shrink or expand. Users are confused by the terms “non-alphanumeric”, “symbols”, “special characters” and “punctuation marks” in password rules. Additionally, users are confused by partial lists of allowed characters using “e.g.” or “etc.”

This research provides data-driven usability guidance on constructing clearer language for password policies. Improving language clarity will help usability without sacrificing security, as simplifying password rule language does not change security requirements.

This is the first usable security study to systematically measure the effects of ambiguous password rules on user comprehension of the allowed character space.