Analysis of service provider's profit by modeling customer's willingness to pay for IP QoS

Uemura

Harada

2013

IEICE Trans. Commun.

As mobile multimedia services expand, user behavior will become more diverse and the control of service quality from the user's perspective will become more important in service design. The quality of the network is one of the critical factors determining mobile service quality. However, this has mainly been evaluated in objective physical terms, such as delay reduction and bandwidth expansion. It is less common to use a human-centered design viewpoint when improving network performance. In this paper, we discuss ways to improve the quality of web services using time-fillers that actively address the human factors to improve the subjective quality of a mobile network. A field experiment was conducted, using a prototype. The results of the field experiment show that time-fillers can significantly decrease user dissatisfaction with waiting, but that this effect is strongly influenced by user preferences concerning content. Based on these results, we discuss the design requirements for effective use of time-fillers.

Section: Related Workmentioning

confidence: 99%

Design Requirements for Improving QoE of Web Service Using Time-Fillers

Uemura

Harada

2013

IEICE Trans. Commun.

“…Some studies have also been conducted on QoE for web access services on PCs [31], [32] and downloading services [33], [34], and the evaluation of tolerable waiting duration in cellular phone usage considering three factors: application classification, place of use, and degree of relaxation [35]. Some of the studies considered parameters other than the network QoS, such as price [36], [37] and usability [38]. In these studies, the relative influence of different factors is examined by introducing several additional parameters and finding the parameter that has an effect stronger than the others in a real use environment.…”

Section: Quality Of Experiencementioning

confidence: 99%

A Survey on Modeling of Human States in Communication Behavior

Tsugawa

Suganuma

et al. 2017

IEICE Trans. Commun.

SUMMARY The Technical Committee on Communication BehaviorEngineering addresses the research question "How do we construct a communication network system that includes users?". The growth in highly functional networks and terminals has brought about greater diversity in users' lifestyles and freed people from the restrictions of time and place. Under this situation, the similarities of human behavior cause traffic aggregation and generate new problems in terms of the stabilization of network service quality. This paper summarizes previous studies relevant to communication behavior from a multidisciplinary perspective and discusses the research approach adopted by the Technical Committee on Communication Behavior Engineering.

“…Based on this definition, QoE should be determined by a subjective evaluation of an actual usage situation. Some studies have examined QoE as related to waiting time in real-world situations, such as the evaluation of tolerable waiting duration in mobile phone usage (Niida, Uemura, & Nakamura, 2010) and the analysis of the relation between subjective end-user performance and the willingness to pay for network quality (Okamoto & Hayashi, 2002). There has also been some research from a psychological perspective into so-called "psychological time".…”

mentioning

confidence: 99%

Effect of Using Frequency on Evaluation of Waiting Time When Using Ict

PSYCHOLOGIA -An International Journal of Psychological Sciences

Harada

Uemura

et al. 2011

This paper discusses the effect of usage experiences on the evaluation of waiting time when using ICT. In discussing waiting time, we assume an internal cognitive model based on the hypothesis that the evaluation of waiting is determined by comparing perceived waiting time with expected waiting time. The effect of usage frequencies on expected waiting time is also incorporated. To investigate this model, we conducted two experiments to evaluate waiting time during e-mail transmission with and without an attachment. Both results support our hypothesis and showed that the subjective evaluation scores were maximized at a particular frequency of usage. The results are useful for implementing concrete measures in system design and also for providing a general strategy for waiting time issues in the real world. The results also reveal the need to consider users' frequency of usage in service design. Key words: waiting time, ICT, cognitive model, time perceptionThe expansion of broadband services in people's lives has made it possible to use ICT (Information Communication Technologies) unconstrained by time and place. This has brought about a high level of diversity in ICT use behavior (ITU, 2006). This rapid change in the telecommunications field has led to the emergence of numerous factors that affect human behavior. In order to provide useful information that allows ICT services to be more user-friendly and valuable to users, user attitudes and behavior with regard to ICT services need to be analyzed.There are many issues to be considered in an analysis of ICT use behavior. One of these issues is the waiting time between the user initiating an operation and the response from the terminal. It is thought that this waiting time contributes to some degree to the dissatisfaction felt by users when using ICT. This waiting time is caused by a lack of processing ability on the part of terminals, networks, servers, and so on. ICT comprises many internal processes between operation and response when complicated tasks are being handled. As information communication services become more complex, the duration of waiting time tends to increase. In addition to this, people have recently started to use ICT more frequently in their everyday lives, and the matter of waiting time is therefore becoming more problematic. Reducing waiting time is an important topic in ICT usage analysis.