The effort required to obtain a rewarding outcome is an important factor in decision-making. Describing the reward devaluation by increasing effort intensity is substantial to understanding human preferences, because every action and choice that we make is in itself effortful. To investigate how reward valuation is affected by physical and cognitive effort, we compared mathematical discounting ...

Grounded in self-determination theory (SDT; Deci & Ryan, 2000), the current study explored whether physical education (PE) students' psychological needs and their motivational regulations toward PE predicted mean differences and changes in effort in PE, exercise intentions, and leisure-time physical activity (LTPA) over the course of one UK school trimester. One hundred and seventy-eight studen...

Online bandwidth limitations and fluctuations impose a major challenge in estimating the amount of data to transmit in a given time period. Over or under estimation of bandwidth can jeopardize the visual fidelity of the transmitted data and related multimedia data. We propose a Visual Quality Prediction (VQP) model which supports an adaptive fragmented texture transmission approach taking bandw...

When developing and aiming to achieve success in the arena of mobile commerce, user acceptance is a key aspect for consideration. This study aims to empirically examine some of the factors affecting the acceptance of m-commerce within the context of Saudi Arabia. Based on the revised UTAUT model, the revised model include two particular construct : costs and trust to enhance our understanding o...

MHP/GOMS is used to examine the user effort involved in reissuing commands with and without using history tools. Compared to typing, using a history tool for command specification requires more mental effort but less physical effort. However, non-expert typists expend less overall effort using history tools. Also, based on our experiences with using MHP/GOMS to explore ‘‘what if’’ scenarios, we...

We consider a setting in which a worker and a manager may each have information about the likely completion time of a task, and the worker also affects the completion time by choosing a level of effort. The task itself may further be composed of a set of subtasks, and the worker can also decide how many of these subtasks to split out into an explicit prediction task. In addition, the worker can...