Faded Fonts

Faded fonts on billboards and signage causes awareness of missing information. In this research, we highlight the importance of fonts in advertising and wayfinding and how it impacts sensitivity to missing information. Across two studies, we demonstrate that disfluency caused by faded fonts can reduce omission neglect. Study 1 establishes the basis for consequences of disfluency on omission neglect as well as its effects on judgments. Study 2 demonstrates that disfluency increases awareness of missing information by reducing response time differences for correctly identifying previously presented versus missing information. Taken together, the two studies demonstrate that disfluency increases sensitivity to absent information. Practical implications to signage and theoretical contributions to research on omission neglect are discussed

Effects of Time for Deliberation and Disfluency on Omission Neglect

The use of disfluency in marketing signage has more complex effects than what past research suggests. Time plays an important role in consumer information processing of signage presented disfluently. Three experimental studies suggest that the effects of disfluency on the awareness of missing information, purchase likelihood, and likelihood of future surprise depend on whether consumers have more or less time to process the information. When they have a limited amount of time, disfluency improves their awareness of missing information, leading to not only a lower likelihood of immediate purchase but also less surprise when important omissions are revealed later. Nevertheless, the effects are attenuated when consumers have a greater amount of time

TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems

Root Cause Analysis (RCA) is becoming increasingly crucial for ensuring the reliability of microservice systems. However, performing RCA on modern microservice systems can be challenging due to their large scale, as they usually comprise hundreds of components, leading significant human effort. This paper proposes TraceDiag, an end-to-end RCA framework that addresses the challenges for large-scale microservice systems. It leverages reinforcement learning to learn a pruning policy for the service dependency graph to automatically eliminates redundant components, thereby significantly improving the RCA efficiency. The learned pruning policy is interpretable and fully adaptive to new RCA instances. With the pruned graph, a causal-based method can be executed with high accuracy and efficiency. The proposed TraceDiag framework is evaluated on real data traces collected from the Microsoft Exchange system, and demonstrates superior performance compared to state-of-the-art RCA approaches. Notably, TraceDiag has been integrated as a critical component in the Microsoft M365 Exchange, resulting in a significant improvement in the system's reliability and a considerable reduction in the human effort required for RCA

Aging and the preference for the human touch

Purpose This paper aims to investigate the effect of chronological age on the likelihood to choose a service provider with technological machines versus humans in the context of services. Design/methodology/approach Two experimental studies were used to collect data. In both experiments, scripts were devised to depict a food ordering situation. The studies, each of which represents two between-subject conditions, were presented to a total of 312 participants. Findings The results of studies show that as age increases, consumers show a higher visit likelihood with human servers as compared to self-ordering machines. This effect emerges because as age increases, people find it more comfortable and convenient to order from human servers. Nevertheless, when a self-ordering machine is the only option, older and younger people find it equally comfortable and convenient. Research limitations/implications This research indicates that as age increases, consumers tend to choose human servers. However, age does not impact willingness to use technology when human service is not available. A limitation of our research is that we look at food ordering contexts only. Another limitation is that most participants were between 18 and 60 years of age. Practical implications With a better understanding of the effect of age on preference for service types and the reason behind it, this research helps implement and manage service technologies that may elicit favorable judgments and decisions from consumers. Originality/value It demonstrates how, when and why age affects the intention to visit service providers that adopt self-service technologies. This research suggests that as age increases, consumers like human service better, but they do not resist self-service technology. </jats:sec

Faded Fonts

Faded fonts on billboards and signage causes awareness of missing information. In this research, we highlight the importance of fonts in advertising and wayfinding and how it impacts sensitivity to missing information. Across two studies, we demonstrate that disfluency caused by faded fonts can reduce omission neglect. Study 1 establishes the basis for consequences of disfluency on omission neglect as well as its effects on judgments. Study 2 demonstrates that disfluency increases awareness of missing information by reducing response time differences for correctly identifying previously presented versus missing information. Taken together, the two studies demonstrate that disfluency increases sensitivity to absent information. Practical implications to signage and theoretical contributions to research on omission neglect are discussed.</jats:p

Effects of Time for Deliberation and Disfluency on Omission Neglect

The use of disfluency in marketing signage has more complex effects than what past research suggests. Time plays an important role in consumer information processing of signage presented disfluently. Three experimental studies suggest that the effects of disfluency on the awareness of missing information, purchase likelihood, and likelihood of future surprise depend on whether consumers have more or less time to process the information. When they have a limited amount of time, disfluency improves their awareness of missing information, leading to not only a lower likelihood of immediate purchase but also less surprise when important omissions are revealed later. Nevertheless, the effects are attenuated when consumers have a greater amount of time.</jats:p