Relationship between automation trust and operator performance for the novice and expert in spacecraft rendezvous and docking (RVD)

Niu, Jianwei; Geng, He; Zhang, Yijing; Du, Xiaoping

doi:10.1016/j.apergo.2018.03.014

Cited by 14 publications

(3 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For constructs like trust, users may be primarily concerned with the supraordinate objective outcomes (Ross et al, 2008; Schwarz et al, 2019). However, research shows that as users gain expertise their focus on system performance, interactions with the systems, and trust in the systems changes (Keller & Rice, 2009; Navarro et al, 2021; Niu et al, 2018). This may also be dependent upon user mental models of the systems which could have impacts on their understanding of the objective hierarchies (Schraagen et al, 2020; Tenhundfeld, Barr, et al, 2022).…”

Section: New Frameworkmentioning

confidence: 99%

A New Framework for an Old Idea: Overhauling Reliability to Meet Current and Future Needs

Cotter,

Atchley,

Barr

et al. 2023

Proceedings of the Human Factors and Ergonomics Society Annual

View full text Add to dashboard Cite

The concept of reliability is widely recognized across various academic disciplines. However, the conventional understanding of reliability varies by discipline, does not adequately address the intricate and ever-changing environments, and fails to account for the dynamic interactions between humans and artificial intelligence (AI) systems. To address these gaps, a new framework is proposed for considering reliability that accounts for performance on both supraordinate and subordinate objectives. By framing reliability in such a manner, the evaluation of systems can become more precise and research involving human-machine interactions can gain greater clarity. This is crucial for product designers and evaluators working to develop systems that meet end-use goals and comply with regulations. Researchers and practitioners alike need to rethink reliability in the context of AI systems, and this article proposes a new framework for understanding reliability.

show abstract

Section: New Frameworkmentioning

confidence: 99%

A New Framework for an Old Idea: Overhauling Reliability to Meet Current and Future Needs

Cotter,

Atchley,

Barr

et al. 2023

Proceedings of the Human Factors and Ergonomics Society Annual

View full text Add to dashboard Cite

show abstract

“…This difference in the medium workload category also brings into prominence the relevance of task complexity, specifically the influence reflected through the perceived reliability where MWL1 (reflecting higher complexity) condition was perceived more reliable compared to MWL2 (reflecting secondary task influence). This could be a result of higher uncertainty and failure probabilities which complexity induces as elaborated in [53,54]. It is therefore understandable that users preferred low LOA to the high LOA in this level of workload (where the task complexity exists) where they seem to have an increased sense of control over the operation [55].…”

Section: Workload Considerationsmentioning

confidence: 99%

Evaluating Levels of Automation in Human–Robot Collaboration at Different Workload Levels

2021

View full text Add to dashboard Cite

This study explored how levels of automation (LOA) influence human robot collaboration when operating at different levels of workload. Two LOA modes were designed, implemented, and evaluated in an experimental collaborative assembly task setup for four levels of workload composed of a secondary task and task complexity. A user study conducted involving 80 participants was assessed through two constructs especially designed for the evaluation (quality of task execution and usability) and user preferences regarding the LOA modes. Results revealed that the quality of task execution and usability was better at high LOA for low workload. Most of participants also preferred high LOA when the workload increases. However, when complexity existed within the workload, most of the participants preferred the low LOA. The results reveal the benefits of high and low LOA in different workload situations. This study provides insights related to shared control designs and reveals the importance of considering different levels of workload as influenced by secondary tasks and task complexity when designing LOA in human–robot collaborations.

show abstract

“…The appropriate assessment technology was required to assess trust. Recently, there were some researches related to trust assessment in several fields of application as multitasking workspace (Karpinsky et al, 2018), the technology and tool in the field of medical sciences (Montague, 2010), risk management in internet technology and application (Henshel et al, 2015), and project management of spacecraft (Niu et al, 2018). However, none of these applications were applicable to food SMEs.…”

Section: Introductionmentioning

confidence: 99%

Development of Kansei Engineering-based System for Agro-industry (KESAN) for Worker Trust Assessment in Food Small Medium-sized Enterprises

Ushada

Sulistyo

Wijayanto

et al. 2020

Engineering in Agriculture, Environment and Food

View full text Add to dashboard Cite

Trust influenced the attractiveness of ergonomic programs to Small Medium-sized Enterprises (SMEs) workers as individuals and groups as the collective. A framework of Kansei Engineering-based System for Agro-industry (KESAN) was proposed for worker trust assessment using a platform of Kansei engineering and artificial intelligence. A fuzzy inference model was used to process worker trust based on an input of ergonomic status against their mentality constraints of prior knowledge, familiarity, agreement, and preference. The research result indicated that fuzzy inference could simulate worker trust which was influenced by ergonomic status, mentality constraint, benefit agreement, and preference. This result indicated the possibility of using Kansei engineering and fuzzy inference to assess worker trust.

show abstract

Relationship between automation trust and operator performance for the novice and expert in spacecraft rendezvous and docking (RVD)

Cited by 14 publications

References 28 publications

A New Framework for an Old Idea: Overhauling Reliability to Meet Current and Future Needs

A New Framework for an Old Idea: Overhauling Reliability to Meet Current and Future Needs

Evaluating Levels of Automation in Human–Robot Collaboration at Different Workload Levels

Development of Kansei Engineering-based System for Agro-industry (KESAN) for Worker Trust Assessment in Food Small Medium-sized Enterprises

Contact Info

Product

Resources

About