Engineering Psychology and Human Performance

Wickens, Christopher D.; Hollands, Justin G.; Banbury, Simon; Parasuraman, Raja

doi:10.4324/9781315665177

Cited by 1,028 publications

(131 citation statements)

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“…However, they do not consider information analysis and aggregation as a separate task that could be performed by either human or robot. Thus, we propose to classify robot autonomy according to models applied in human-automation interaction, referring to Wickens, Hollands, Banbury and Parasuraman [60]. Accordingly, the degree of robot autonomy is subdivided into four stages: information acquisition, information analysis, action selection and action implementation.…”

Section: The Robot Classificationmentioning

confidence: 99%

A Taxonomy to Structure and Analyze Human–Robot Interaction

Onnasch

Roesler

2020

Int J of Soc Robotics

105

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Robotic systems are one of the core technologies that will shape our future. Robots already change our private and professional life by working together with humans in various domains. Evoked by this increasing trend, great variability exists in terms of robots and interaction scenarios. This has boosted research regarding shaping factors of human–robot interaction (HRI). Nevertheless, this variety hinders the comparability and the generalizability of insights. What is needed for efficient research is a structured approach that allows the analysis of superordinate attributes, making previous HRI research comparable, revealing research gaps and thus guiding future research activities. Based on the review of previous HRI frameworks we developed a new HRI taxonomy that (1) takes into account the human, the robot, the interaction and the context of the HRI, (2) is applicable to various HRI scenarios and (3) provides predefined categories to enable structured comparisons of different HRI scenarios. A graphical representation of the taxonomy, including all possible classifications, eases the application to specific HRI scenarios. To demonstrate the use and value of this taxonomy, it is applied to different studies in HRI in order to identify possible reasons for contrasting results. The exemplified applications of the taxonomy underline its value as a basis for reviews and meta-analyses. Moreover, the taxonomy offers a framework for future HRI research as it offers guidance for systematic variations of distinctive variables in HRI.

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Section: The Robot Classificationmentioning

confidence: 99%

A Taxonomy to Structure and Analyze Human–Robot Interaction

Onnasch

Roesler

2020

Int J of Soc Robotics

105

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“…Noise in the representation of a vibrotactile stimulus can also increase due to leakage of information from the other sensory modalities (e.g., audition, vision) that may or may not provide a signal consistent with the vibrotactile stimulus (Mozolic et al 2008;Wyart et al 2015). Signal detection theory predicts that the accuracy of discrimination will be degraded by the presence of noise, whatever its source (Green and Swets 1966;Wickens et al 2015). Attention can act as a filter during the perception of stimuli by attenuating noise (Mozolic et al 2011), thereby reducing variability in the neuronal response (Mitchell et al 2007;Bernasconi et al 2011).…”

Section: Discrimination Across Time: Influence Of Working Memory and mentioning

confidence: 99%

Supplemental vibrotactile feedback of real-time limb position enhances precision of goal-directed reaching

Risi

Shah

Mrotek

et al. 2019

Journal of Neurophysiology

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We examined vibrotactile stimulation as a form of supplemental limb state feedback to enhance planning and ongoing control of goal-directed movements. Subjects wore a two-dimensional vibrotactile display on their nondominant arm while performing horizontal planar reaching with the dominant arm. The vibrotactile display provided feedback of hand position such that small hand displacements were more easily discriminable using vibrotactile feedback than with intrinsic proprioceptive feedback. When subjects relied solely on proprioception to capture visuospatial targets, performance was degraded by proprioceptive drift and an expansion of task space. By contrast, reach accuracy was enhanced immediately when subjects were provided vibrotactile feedback and further improved over 2 days of training. Improvements reflected resolution of proprioceptive drift, which occurred only when vibrotactile feedback was active, demonstrating that benefits of vibrotactile feedback are due, in part to its integration into the ongoing control of movement. A partial resolution of task space expansion persisted even when vibrotactile feedback was inactive, demonstrating that training with vibrotactile feedback also induced changes in movement planning. However, the benefits of vibrotactile feedback come at a cognitive cost. All subjects adopted a stereotyped strategy wherein they attempted to capture targets by moving first along one axis of the vibrotactile display and then the other. For most subjects, this inefficient approach did not resolve over two bouts of training performed on separate days, suggesting that additional training is needed to integrate vibrotactile feedback into the planning and online control of goal-directed reaching in a way that promotes smooth and efficient movement. NEW & NOTEWORTHY A two-dimensional vibrotactile display provided state (not error) feedback to enhance control of a moving limb. Subjects learned to use state feedback to perform blind reaches with accuracy and precision exceeding that attained using intrinsic proprioception alone. Feedback utilization incurred substantial cognitive cost: subjects moved first along one axis of the vibrotactile display, then the other. This stereotyped control strategy must be overcome if vibrotactile limb state feedback is to promote naturalistic limb movements.

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“…Task switching in anaesthesia may be impacted by other stimuli, such as auditory alarms; thus, there is an opportunity to study the effects of visual and auditory information on task switching and directing attention. 21 Another aspect that needs to be considered as this work expands is assessing the entirety of the work system, as other work system factors may influence workspace design in the OT, such as designing for infection prevention and the design of the built environment. For example, the storage cabinets in the current study were fixed, but because of the recent prevalence of mobile storage units, it is important to study how mobilisation and modularisation of equipment impact task switching across different phases of surgery.…”

Section: Discussionmentioning

confidence: 99%