scholarly journals Improving eye–computer interaction interface design: Ergonomic investigations of the optimum target size and gaze-triggering dwell time

2020 ◽  
Vol 12 (3) ◽  
Author(s):  
Ya-feng Niu ◽  
Yue Gao ◽  
Cheng-qi Xue ◽  
Ya-ting Zhang ◽  
Li-xin Yang
Keyword(s):  
Interface Design ◽  
Dwell Time ◽  
Comprehensive Evaluation ◽  
Completion Rate ◽  
Experimental Series ◽  
Target Size ◽  
Task Completion ◽  
Task Load ◽  
Positive Effects ◽  
Computer Interaction

The Midas touch is reflected by the interactive feedback of interface functional elements, and a low level of spatial accuracy is related to the interaction area. This study tried to solve these two problems from the perspective of human-computer interactions and ergonomics. Two experiments were conducted to explore the optimum target size and gaze-triggering dwell time of the eye–computer interaction (ECI) system. Experimental Series 1 was used as the pre-experiment to identify the size that has a greater task completion rate. Experimental Series 2 was used as the main experiment to investigate the optimum gaze-triggering dwell time by using a comprehensive evaluation of the task completion rate, reaction time, and NASA-TLX (Task Load Index). In Experimental Series 1, the optimal element size was determined to be 256 × 256p x2. The conclusion of Experimental Series 2 was that when the dwell time is set to 600 ms, the efficiency of the interface is the highest, and the task load of subjects is minimal as well. Finally, the results of Experiment Series 1 and 2 have positive effects on improving the usability of the interface. The optimal control size and the optimal dwell time obtained from the experiments have certain reference and application value for interface design and software development of the ECI system.

Toy user interface design - Tools for Child-Computer Interaction

2021 ◽  
pp. 100307
Author(s):  
Anna Priscilla de Albuquerque Wheler ◽  
Judith Kelner ◽  
Patrick C.K. Hung ◽  
Bruno de Souza Jeronimo ◽  
Railton da Silva Rocha ◽  
...  
Keyword(s):  
User Interface ◽  
Interface Design ◽  
User Interface Design ◽  
Design Tools ◽  
Computer Interaction

scholarly journals A collaborative scheduling strategy for IoV computing resources considering location privacy protection in mobile edge computing environment

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Meiyu Pang ◽  
Li Wang ◽  
Ningsheng Fang
Keyword(s):  
Privacy Protection ◽  
Location Privacy ◽  
Completion Rate ◽  
Task Completion ◽  
Mobile Edge Computing ◽  
Computing Environment ◽  
Internet Of Vehicles ◽  
Scheduling Strategy ◽  
Collaborative Scheduling ◽  
Location Privacy Protection

Abstract This paper proposes a collaborative scheduling strategy for computing resources of the Internet of vehicles considering location privacy protection in the mobile edge computing environment. Firstly, a multi area multi-user multi MEC server system is designed, in which a MEC server is deployed in each area, and multiple vehicle user equipment in an area can offload computing tasks to MEC servers in different areas by a wireless channel. Then, considering the mobility of users in Internet of vehicles, a vehicle distance prediction based on Kalman filter is proposed to improve the accuracy of vehicle-to-vehicle distance. However, when the vehicle performs the task, it needs to submit the real location, which causes the problem of the location privacy disclosure of vehicle users. Finally, the total cost of communication delay, location privacy of vehicles and energy consumption of all users is formulated as the optimization goal, which take into account the system state, action strategy, reward and punishment function and other factors. Moreover, Double DQN algorithm is used to solve the optimal scheduling strategy for minimizing the total consumption cost of system. Simulation results show that proposed algorithm has the highest computing task completion rate and converges to about 80% after 8000 iterations, and its performance is more ideal compared with other algorithms in terms of system energy cost and task completion rate, which demonstrates the effectiveness of our proposed scheduling strategy.

Remediating Interaction

2018 ◽  
pp. 75-98
Author(s):  
Roger Gacula Pineda
Keyword(s):  
Human Computer Interaction ◽  
Conceptual Model ◽  
Interface Design ◽  
Theoretical Framework ◽  
Actual Experience ◽  
Computer Interaction

The concept of interaction is foundational in technology interface design with its presuppositions being taken for granted. But the interaction metaphor has become ambiguous to the extent that its application to interface design contributes to misalignments between peoples' expected and actual experience with computer-enhanced actions. This chapter re-examines the presuppositions governing human-computer interaction with the motivation of strengthening weaknesses in their foundational concepts, and contributing a theoretical framework to designing for artistic as well as mundane experience. It argues for abandoning the interaction metaphor to refocus design discourse toward the intermediation and mediation roles of technology interfaces. Remediation (i.e., representation of one medium in another) is proposed as a conceptual model that more precisely describes the human-to-computer actions.

Cognitively Informed Multimedia Interface Design

2008 ◽  
pp. 465-471
Author(s):  
E. M. Alkhalifa
Keyword(s):  
Cognitive Psychology ◽  
Human Computer Interaction ◽  
Interface Design ◽  
Present Knowledge ◽  
Pivotal Role ◽  
Educational Systems ◽  
Multimedia Interface ◽  
The Rich ◽  
Made In ◽  
Computer Interaction

The rich contributions made in the field of human computer interaction (HCI) have played a pivotal role in shifting the attention of the industry to the interaction between users and computers (Myers, 1998). However, technologies that include hypertext, multimedia, and manipulation of graphical objects were designed and presented to the users without referring to critical findings made in the field of cognitive psychology. These findings allow designers of multimedia educational systems to present knowledge in a fashion that would optimize learning.

Design methods, cutural diversity, and the limits of designing

1995 ◽  
Vol 8 (1) ◽  
pp. 36-47
Author(s):  
Paul Stiff
Keyword(s):  
Human Computer Interaction ◽  
Cultural Diversity ◽  
Interface Design ◽  
Culturally Diverse ◽  
Design Methods ◽  
Recent Argument ◽  
Computer Interaction

This article begins by describing a recent argument in print about interface design in human-computer interaction. The argument was provoked by published illustrations of some prototypes of dialogue boxes. It was about the methods used in designing for 'culturally diverse' users, about testing and intuition, usability and style, and about the undeclared assumptions and biases of designers. The account of the argument is followed by a commentary which raises questions about the positions taken by both sides; some of these questions have already arisen in the design of print 'interfaces'. The article concludes by pointing to wider questions which arise in designing for cultural diversity - questions which come up against the limits of designing.

Two Models of User Assistance

1987 ◽  
Vol 31 (1) ◽  
pp. 46-50
Author(s):  
Andrew M. Cohill
Keyword(s):  
Interface Design ◽  
User Interaction ◽  
Quantitative Model ◽  
Error Rates ◽  
Task Completion ◽  
Completion Rates ◽  
User Characteristics ◽  
Knowledge Presentation ◽  
Software Engineers ◽  
User Knowledge

This paper discusses two general models of user interaction in the context of user assistance (HELP) and their implications for design. Conceptual and quantitative models provide software engineers with tools that can aid them in the interface design process. The conceptual model presented is derived using a hermeneutic approach to the analysis of human-computer interaction. The interaction is modeled as a set of states and transitions between states. This suggests that user assistance should have a more central role in the design of the system. The quantitative model is derived from a study of the existing literature, and provides a framework for analyzing performance issues at the human-computer interface, using metrics like response time, keystrokes, error rates, and task completion rates. The model contains seven components, covering user characteristics, information type, structure, user knowledge, presentation, control, and access.

scholarly journals A mutual-selecting market-based mechanism for dynamic coalition formation

2018 ◽  
Vol 15 (1) ◽  
pp. 172988141875584 ◽  
Author(s):  
Bing Xie ◽  
Shaofei Chen ◽  
Jing Chen ◽  
LinCheng Shen
Keyword(s):  
Real Time ◽  
Coalition Formation ◽  
Task Allocation ◽  
Completion Rate ◽  
Utilization Rate ◽  
Task Completion ◽  
Distributed Agents ◽  
Time Task ◽  
Comparable Performance ◽  
Negotiation Mechanism

This article presents a novel market-based mechanism for a dynamic coalition formation problem backgrounded under real-time task allocation. Specifically, we first analyze the main factors of the real-time task allocation problem, and formulate the problem based on the coalition game theory. Then, we employ a social network for communication among distributed agents in this problem, and propose a negotiation mechanism for agents forming coalitions on timely emerging tasks. In this mechanism, we utilize an auction algorithm for real-time agent assignment on coalitions, and then design a mutual-selecting method to acquire better performance on agent utilization rate and task completion rate. And finally, our experimental results demonstrate that our market-based mechanism has a comparable performance in task completion rate to a decentralized approach (within 25% better on average) and a centralized dynamic coalition formation method (within 10% less on average performance).

scholarly journals Using Goals to Motivate College Students: Theory and Evidence From Field Experiments

2020 ◽  
Vol 102 (4) ◽  
pp. 648-663 ◽  
Author(s):  
Damon Clark ◽  
David Gill ◽  
Victoria Prowse ◽  
Mark Rush
Keyword(s):  
College Students ◽  
Loss Aversion ◽  
Field Experiments ◽  
Theoretical Framework ◽  
The Other ◽  
Task Completion ◽  
Course Performance ◽  
Positive Effects ◽  
Present Bias

Will college students who set goals work harder and perform better? We report two field experiments that involved four thousand college students. One experiment asked treated students to set goals for performance in the course; the other asked treated students to set goals for a particular task (completing online practice exams). Task-based goals had robust positive effects on the level of task completion and marginally significant positive effects on course performance. Performance-based goals had positive but small and statistically insignificant effects on course performance. A theoretical framework that builds on present bias and loss aversion helps to interpret our results.

scholarly journals Reliability and capability based computation offloading strategy for vehicular ad hoc clouds

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Bo Li ◽  
Ziyi Peng ◽  
Peng Hou ◽  
Min He ◽  
Marco Anisetti ◽  
...  
Keyword(s):  
System Reliability ◽  
High Performance ◽  
Evaluation Method ◽  
Ad Hoc ◽  
Comprehensive Evaluation ◽  
Autonomous Driving ◽  
Computation Offloading ◽  
Task Completion ◽  
Communication Link ◽  
The Impact

AbstractIn the Internet of Vehicles (IoV), with the increasing demand for intelligent technologies such as driverless driving, more and more in-vehicle applications have been put into autonomous driving. For the computationally intensive task, the vehicle self-organizing network uses other high-performance nodes in the vehicle driving environment to hand over tasks to these nodes for execution. In this way, the computational load of the cloud alleviated. However, due to the unreliability of the communication link and the dynamic changes of the vehicle environment, lengthy task completion time may lead to the increase of task failure rate. Although the flooding algorithm can improve the success rate of task completion, the offloading expend will be large. Aiming at this problem, we design the partial flooding algorithm, which is a comprehensive evaluation method based on system reliability in the vehicle computing environment without infrastructure. Using V2V link to select some nodes with better performance for partial flooding offloading to reduce the task complete time, improve system reliability and cut down the impact of vehicle mobility on offloading. The results show that the proposed offloading strategy can not only improve the utilization of computing resources, but also promote the offloading performance of the system.

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