scholarly journals Trade-Off between Task Accuracy, Task Completion Time and Naturalness for Direct Object Manipulation in Virtual Reality

2022 ◽  
Vol 6 (1) ◽  
pp. 6
Author(s):  
Jari Kangas ◽  
Sriram Kishore Kumar ◽  
Helena Mehtonen ◽  
Jorma Järnstedt ◽  
Roope Raisamo
Keyword(s):  
Virtual Reality ◽  
Completion Time ◽  
Object Manipulation ◽  
Direct Object ◽  
Task Completion ◽  
Interaction Techniques ◽  
Interaction Technique ◽  
Trade Off ◽  
Task Completion Time ◽  
Task Accuracy

Virtual reality devices are used for several application domains, such as medicine, entertainment, marketing and training. A handheld controller is the common interaction method for direct object manipulation in virtual reality environments. Using hands would be a straightforward way to directly manipulate objects in the virtual environment if hand-tracking technology were reliable enough. In recent comparison studies, hand-based systems compared unfavorably against the handheld controllers in task completion times and accuracy. In our controlled study, we compare these two interaction techniques with a new hybrid interaction technique which combines the controller tracking with hand gestures for a rigid object manipulation task. The results demonstrate that the hybrid interaction technique is the most preferred because it is intuitive, easy to use, fast, reliable and it provides haptic feedback resembling the real-world object grab. This suggests that there is a trade-off between naturalness, task accuracy and task completion time when using these direct manipulation interaction techniques, and participants prefer to use interaction techniques that provide a balance between these three factors.

scholarly journals The Effects of Augmented Reality Interaction Techniques on Egocentric Distance Estimation Accuracy

2019 ◽  
Vol 9 (21) ◽  
pp. 4652 ◽  
Author(s):  
Chiuhsiang Joe Lin ◽  
Dino Caesaron ◽  
Bereket Haile Woldegiorgis
Keyword(s):  
Virtual Environments ◽  
Completion Time ◽  
Distance Estimation ◽  
Estimation Accuracy ◽  
Task Completion ◽  
Interaction Techniques ◽  
Egocentric Distance ◽  
Interaction Technique ◽  
Task Completion Time ◽  
3D Objects

Recent developments in virtual environment applications allow users to interact with three-dimensional (3D) objects in virtual environments. As interaction with 3D objects in virtual environments becomes more established, it is important to investigate user performance with such interaction techniques within a specific task. This study investigated two interaction modes, direct and indirect, depending on how the users interacted with the 3D objects, by measuring the accuracy of egocentric distance estimation in a stereoscopic environment. Fourteen participants were recruited to perform an acquisition task with both direct pointing and indirect cursor techniques at three egocentric distances and three task difficulty levels. The accuracy of the egocentric distance estimation, throughput, and task completion time were analyzed for each interaction technique. The indirect cursor technique was found to be more accurate than the direct pointing one. On the other hand, a higher throughput was observed with the direct pointing technique than with the indirect cursor technique. However, there were no significant differences in task completion time between the two interaction techniques. The results also showed accuracy to be higher at the greatest distance (150 cm from the participant) than at the closer distances of 90 cm and 120 cm. Furthermore, the difficulty of the task also significantly affected the accuracy, with accuracy lower in the highest difficulty condition than in the medium and low difficulty conditions. The findings of this study contribute to the understanding of user-interaction techniques in a stereoscopic environment. Furthermore, developers of virtual environments may refer to these findings in designing effective user interactions, especially those in which performance relies on accuracy.

scholarly journals Validation of Trade-Off in Human–Automation Interaction: An Empirical Study of Contrasting Office Automation Effects on Task Performance and Workload

2020 ◽  
Vol 10 (4) ◽  
pp. 1288
Author(s):  
Byung Cheol Lee ◽  
Jangwoon Park ◽  
Heejin Jeong ◽  
Jaehyun Park
Keyword(s):  
Task Performance ◽  
Completion Time ◽  
Office Automation ◽  
Task Completion ◽  
Trade Off ◽  
Task Completion Time ◽  
Task Load ◽  
Subjective Workload ◽  
Human Operators ◽  
High Level

Automation aims to improve the task performance and the safety of human operators. The success of automation can be facilitated with well-designed human–automation interaction (HAI), which includes the consideration of a trade-off between the benefits of reliable automation and the cost of Failed automation. This study evaluated four different types of HAIs in order to validate the automation trade-off, and HAI types were configured by the levels and the statuses of office automation. The levels of automation were determined by information amount (i.e., Low and High), and the statues were decided by automation function (i.e., Routine and Failed). Task performance including task completion time and accuracy and subjective workload of participants were measured in the evaluation of the HAIs. Relatively better task performance (short task completion time and high accuracy) were presented in the High level in Routine automation, while no significant effects of automation level were reported in Failed automation. The subjective workload by the National Aeronautics and Space Administration (NASA) Task Load Index (TLX) showed higher workload in High and Failed automation than Low and Failed automation. The type of sub-functions and the task classification can be estimated as major causes of automation trade-off, and dissimilar results between empirical and subjective measures need to be considered in the design of effective HAI.

Energy and task completion time trade-off for task offloading in fog-enabled IoT networks

2021 ◽  
pp. 101395
Author(s):  
Om-Kolsoom Shahryari ◽  
Hossein Pedram ◽  
Vahid Khajehvand ◽  
Mehdi Dehghan TakhtFooladi
Keyword(s):  
Completion Time ◽  
Task Completion ◽  
Trade Off ◽  
Task Completion Time ◽  
And Task ◽  
Task Offloading

The Effect of Automated Telephone Menu Structure on User Frustration and Performance

2007 ◽  
Vol 51 (5) ◽  
pp. 449-454 ◽  
Author(s):  
Jennifer L. Dyck ◽  
Amanda K. Emo ◽  
Marie P. Panepinto ◽  
Thaddeus Wojcik
Keyword(s):  
Completion Time ◽  
Task Completion ◽  
Task Completion Time ◽  
Task Accuracy ◽  
And Performance ◽  
User Frustration

Two experiments examined the effect of a wide, deep, or balanced telephone menu on task accuracy, task completion time, and user attitude. The wide menu had 8 choices at 2 levels, the deep menu had 2 choices at 6 levels, and the balanced menu had 4 choices at 3 levels. Experiment 1 results indicated no effect of menu structure on task accuracy. Experiment 2 results indicated longer task completion time for the deep menu as compared to the wide and balanced menus. Variability among task completion time for the wide menu, however, indicated an advantage for the balanced menu. User attitude did not vary with the menu structure, but was related to the number of calls needed to complete the tasks, such that the more calls that were needed, the more negatively the telephone menu was viewed.

scholarly journals Perception Survey of Virtual Reality Simulation with Malocclusion Models

2021 ◽  
Vol 48 (3) ◽  
pp. 302-312
Author(s):  
Boram Kim ◽  
Jeeheon Ryu ◽  
Seonmi Kim ◽  
Namki Choi
Keyword(s):  
Virtual Reality ◽  
Completion Time ◽  
Pediatric Dentistry ◽  
Clinical Findings ◽  
Dental Students ◽  
Task Completion ◽  
Satisfaction Survey ◽  
Task Completion Time ◽  
First Case ◽  
Treatment Plans

The purpose of this study was to develop prototype of virtual reality(VR) simulation with malocclusion models and evaluate its applicability. Task abilities, task completion time, and a satisfaction survey were compared between dentist trainees and dental students. Participants were instructed to observe virtual malocclusion models and then performed three tasks to diagnose the type of malocclusion, determine clinical findings and develop treatment plans. Their satisfaction with the simulation experience were evaluated using a questionnaire containing five questions. Task abilities of trainees related to clinical features and treatment plans were significantly higher than that of students(p < 0.01). In both groups, the task completion time for the second case was significantly reduced compared to that for the first case(p < 0.01). The satisfaction survey showed high scores and positive responses for this simulation in both groups. If the prototype of VR simulation is continuously advanced, it will be applicable for orthodontic education in pediatric dentistry.

The Effects of Language Barriers and Time Constraints on Online Learning Performance: An Eye-Tracking Study

2021 ◽  
pp. 001872082110109
Author(s):  
Auður Anna Jónsdóttir ◽  
Ziho Kang ◽  
Tianchen Sun ◽  
Saptarshi Mandal ◽  
Ji-Eun Kim
Keyword(s):  
Online Learning ◽  
Eye Movement ◽  
Completion Time ◽  
Language Use ◽  
Time Pressure ◽  
Time Constraints ◽  
Task Completion ◽  
Esl Students ◽  
Task Completion Time ◽  
Eye Fixation

Objective The goal of this study is to model the effect of language use and time pressure on English as a first language (EFL) and English as a second language (ESL) students by measuring their eye movements in an on-screen, self-directed learning environment. Background Online learning is becoming integrated into learners’ daily lives due to the flexibility in scheduling and location that it offers. However, in many cases, the online learners often have no interaction with one another or their instructors, making it difficult to determine how the learners are reading the materials and whether they are learning effectively. Furthermore, online learning may pose challenges to those who face language barriers or are under time pressure. Method The effects of two factors, language use (EFL vs. ESL) and time constraints (high vs. low time pressure), were investigated during the presentation of online materials. The effects were analyzed based on eye movement measures (eye fixation rate—the total number of eye fixations divided by the task duration and gaze entropy) and behavioral measures (correct rate and task completion time). Results The results show that the ESL students had higher eye fixation rates and longer task completion times than the EFL students. Moreover, high time pressure resulted in high fixation rates, short task completion time, low correct rates, and high gaze entropy. Conclusion and Application The results suggest the possibility of using unobtrusive eye movement measures to develop ways to better assist those who struggle with learning in the online environment.

scholarly journals Bandwidth-Aware Rescheduling Mechanism in SDN-Based Data Center Networks

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1774
Author(s):  
Ming-Chin Chuang ◽  
Chia-Cheng Yen ◽  
Chia-Jui Hung
Keyword(s):  
Data Center ◽  
Completion Time ◽  
Network Performance ◽  
Data Locality ◽  
Task Completion ◽  
Data Center Networks ◽  
Task Completion Time ◽  
Data Packets ◽  
Network Bandwidth ◽  
Data Process

Recently, with the increase in network bandwidth, various cloud computing applications have become popular. A large number of network data packets will be generated in such a network. However, most existing network architectures cannot effectively handle big data, thereby necessitating an efficient mechanism to reduce task completion time when large amounts of data are processed in data center networks. Unfortunately, achieving the minimum task completion time in the Hadoop system is an NP-complete problem. Although many studies have proposed schemes for improving network performance, they have shortcomings that degrade their performance. For this reason, in this study, we propose a centralized solution, called the bandwidth-aware rescheduling (BARE) mechanism for software-defined network (SDN)-based data center networks. BARE improves network performance by employing a prefetching mechanism and a centralized network monitor to collect global information, sorting out the locality data process, splitting tasks, and executing a rescheduling mechanism with a scheduler to reduce task completion time. Finally, we used simulations to demonstrate our scheme’s effectiveness. Simulation results show that our scheme outperforms other existing schemes in terms of task completion time and the ratio of data locality.

scholarly journals The Impact of Notification Modality and Ambient Sound on Users’ Mobile Interaction

Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 395
Author(s):  
Chien-Hsiung Chen ◽  
Miao Huang
Keyword(s):  
Completion Time ◽  
Sampling Method ◽  
Sound Level ◽  
Task Completion ◽  
Maze Task ◽  
Task Completion Time ◽  
Mobile Interaction ◽  
Ambient Sound ◽  
Convenience Sampling ◽  
The Impact

This study investigated the impacts of different notification modalities used in low and high ambient sound environments for mobile phone interaction. Three different notification modalities—Shaking Visual, Shaking Visual + Vibration, and Vibration—were designed and experimentally tested by asking users to conduct a maze task. A total of 72 participants were invited to take part in the experiment through the convenience sampling method. The generated results indicated that (1) the notification modality affects participants’ task completion time, (2) the error rate pertinent to the number of notifications is positively related to the participants’ task completion time, and (3) the ambient sound level and notification modalities impact the overall experience of the participants. The main contributions of this study are twofold. First, it verifies that the multi-dimensional feature of a Shaking Visual + Vibration synesthesia notification design is implementable. Second, this study demonstrated that the synesthesia notification could be feasible for mobile notification, and it was more perceptible by the users.

Sign in / Sign up

Export Citation Format

Share Document