An Investigation of the Effect of Latency on the Operator’s Trust and Performance for Manual Multi-robot Teleoperated Tasks

Rogers, Hunter; Khasawneh, Amro; Bertrand, Jeffery; Madathil, Kapil Chalil

doi:10.1177/1541931213601579

Cited by 8 publications

(4 citation statements)

References 14 publications

(12 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Neither language nor persona had a significant effect on trust in our study. This could be in part due to trust being difficult to measure and quantify [ 36 , 37 ]. Trust is complex and dynamic with multiple factors contributing to an individual’s trust [ 38 ].…”

Section: Discussionmentioning

confidence: 99%

The Effects of a Health Care Chatbot’s Complexity and Persona on User Trust, Perceived Usability, and Effectiveness: Mixed Methods Study

Biro¹,

Linder²,

Neyens³

2023

JMIR Hum Factors

View full text Add to dashboard Cite

Background The rising adoption of telehealth provides new opportunities for more effective and equitable health care information mediums. The ability of chatbots to provide a conversational, personal, and comprehendible avenue for learning about health care information make them a promising tool for addressing health care inequity as health care trends continue toward web-based and remote processes. Although chatbots have been studied in the health care domain for their efficacy for smoking cessation, diet recommendation, and other assistive applications, few studies have examined how specific design characteristics influence the effectiveness of chatbots in providing health information. Objective Our objective was to investigate the influence of different design considerations on the effectiveness of an educational health care chatbot. Methods A 2×3 between-subjects study was performed with 2 independent variables: a chatbot’s complexity of responses (eg, technical or nontechnical language) and the presented qualifications of the chatbot’s persona (eg, doctor, nurse, or nursing student). Regression models were used to evaluate the impact of these variables on 3 outcome measures: effectiveness, usability, and trust. A qualitative transcript review was also done to review how participants engaged with the chatbot. Results Analysis of 71 participants found that participants who received technical language responses were significantly more likely to be in the high effectiveness group, which had higher improvements in test scores (odds ratio [OR] 2.73, 95% CI 1.05-7.41; P=.04). Participants with higher health literacy (OR 2.04, 95% CI 1.11-4.00, P=.03) were significantly more likely to trust the chatbot. The participants engaged with the chatbot in a variety of ways, with some taking a conversational approach and others treating the chatbot more like a search engine. Conclusions Given their increasing popularity, it is vital that we consider how chatbots are designed and implemented. This study showed that factors such as chatbots’ persona and language complexity are two design considerations that influence the ability of chatbots to successfully provide health care information.

show abstract

Section: Discussionmentioning

confidence: 99%

The Effects of a Health Care Chatbot’s Complexity and Persona on User Trust, Perceived Usability, and Effectiveness: Mixed Methods Study

Biro¹,

Linder²,

Neyens³

2023

JMIR Hum Factors

View full text Add to dashboard Cite

show abstract

“…For instance, the relation between the time delays and human factors, situational awareness, and cognitive load was analysed for both local and remote assembly tasks in [11]. A similar approach was presented in [12] to study the outcomes of latency on the performance, subjective workload, trust, and usability measures for manual multi-robot teleoperated tasks. Moreover, a qualitative usability evaluation was carried out in [13], for a scenario in which an agricultural robotic sprayer was used in a teleoperation setup.…”

Section: Related Workmentioning

confidence: 99%

Quantitative Physical Ergonomics Assessment of Teleoperation Interfaces

Gholami¹,

Lorenzini

Momi

et al. 2022

IEEE Trans. Human-Mach. Syst.

View full text Add to dashboard Cite

Human factors and ergonomics are the essential constituents of teleoperation interfaces, which can significantly affect the human operator's performance. Thus, a quantitative evaluation of these elements and the ability to establish reliable comparison bases for different teleoperation interfaces are the keys to select the most suitable one for a particular application. However, most of the works on teleoperation have so far focused on the stability analysis and the transparency improvement of these systems, and do not cover the important usability aspects. In this work, we propose a foundation to build a general framework for the analysis of human factors and ergonomics in employing diverse teleoperation interfaces. The proposed framework will go beyond the traditional subjective analyses of usability by complementing it with online measurements of the human body configurations. As a result, multiple quantitative metrics such as joints' usage, range of motion comfort, center of mass divergence, and posture comfort are introduced. To demonstrate the potential of the proposed framework, two different teleoperation interfaces are considered, and real-world experiments with eleven participants performing a simulated industrial remote pick-andplace task are conducted. The quantitative results of this analysis are provided, and compared with subjective questionnaires, illustrating the effectiveness of the proposed framework.

show abstract

“…However, the relationship between system complexity and trust in the system seem to be moderated by latency (Khasawneh et al 2019); specifically, a higher latency value resulted in a longer time to complete the task, a higher perceived workload, and reduced SA. In turn, this lowered the operators' trust in the system and caused feelings of frustration, resulting in higher error rates and harmful outcomes (Rogers et al 2017).…”

Section: Trust In the Automation Systemmentioning

confidence: 99%

Remote operation of Connected and Automated Vehicles

Kalaiyarasan¹,

Simpson²,

Jenkins³

et al. 2021

View full text Add to dashboard Cite

Connected and Automated Vehicles (CAVs) offer numerous societal benefits; however, there is still a long way to go before CAVs can be considered reliable and safe. Even when CAV technology has matured, and is more readily available, there will be scenarios that require human intervention such as system failures, situations outside of the AV’s Operational Design Domain (ODD), or to support users. As part of project Endeavour, TRL conducted research on potential human intervention scenarios, which has been considered and referred to as a part of ‘remote operation’. This study sought to understand the current roles of the in-vehicle Safety Driver and Test Assistant during CAV trials and testing to recognise the technical challenges of removing the roles and enabling remote operation. This report includes findings from a literature review and stakeholder engagement and contains: Information on the roles and responsibilities of the in-vehicle Safety Driver and Test Assistant and their remote counterparts Current terminology used in the CAV space, and recommended terms for remote operation Use cases and recommendations to enable safe remote operation A high-level roadmap describing the milestones to enable remote operation in the UK

show abstract

An Investigation of the Effect of Latency on the Operator’s Trust and Performance for Manual Multi-robot Teleoperated Tasks

Cited by 8 publications

References 14 publications

The Effects of a Health Care Chatbot’s Complexity and Persona on User Trust, Perceived Usability, and Effectiveness: Mixed Methods Study

The Effects of a Health Care Chatbot’s Complexity and Persona on User Trust, Perceived Usability, and Effectiveness: Mixed Methods Study

Quantitative Physical Ergonomics Assessment of Teleoperation Interfaces

Remote operation of Connected and Automated Vehicles

Contact Info

Product

Resources

About