Human-Automation Interaction

By Thomas B. Sheridan, Raja Parasuraman. 2005

466 citations recorded by the source corpus.

Subfields: Radiological and Ultrasound Technology, Social Psychology

View Paper: https://www.semanticscholar.org/paper/ff6cb1d3fdad62898514f0ad49a2ae3f84855bd5

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In Radiological and Ultrasound Technology

In Social Psychology

Citations in the corpus

Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy (2019, background): “There has been considerable research that has examined the types of automation that may be applied to di ﬀ erent tasks and stages of tasks (McBride, Rogers, & Fisk, 2014; Parasuraman, Sheridan, & Wickens, 2000; Sheridan & Parasuraman, 2005).”
Measurement of trust in human-robot collaboration (2007, result): “of teamwork as was found in previous investigations [ 15 ].”
Humans: Still Vital After All These Years of Automation (2008, background): “We ﬁrmly believe that empirical ﬁndings are most useful to designers when complemented with computational or formal models (Degani, 2004; Kirlik, 1993; Meyer & Bitan, 2002; Parasur-aman, Hancock, & Oloﬁnboba, 1997; Sheridan & Parasuraman, 2006).”
Position: Levels of AGI for Operationalizing Progress on the Path to AGI (2023, unknown): “Unlike prior taxonomies of computer automation (Sheridan et al., 1978; Sheridan & Parasuraman, 2005; Parasuraman et al., 2000) that take a computer-centric perspective (framing automation in terms of how much control the designer relinquishes to computers), we characterize the concept of autonomy…”
Human factors of transitions in automated driving: A general framework and literature survey (2016, background): “This paper also reminds us that human factors engineering is crucial when introducing automation to a human-machine system (and see Bainbridge, 1983; Parasuraman & Riley, 1997; Sheridan & Parasuraman, 2005).”
Understanding Is Key: An Analysis of Factors Pertaining to Trust in a Real-World Automation System (2018, unknown): “…performance in control rooms depends on a good mental model of the system, allowing operators to anticipate future system states, formulate plans, and troubleshoot effectively, and poor or inaccurate mental models have been associated with incidents and accidents (Sheridan & Parasuraman, 2006).”
A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction (2011, background): “2007; Sheridan, 2002; Sheridan & Parasuraman, 2006), sparse empirical research has been conducted in a number of specific and important areas associated with human-robot trust.”
Trust and Reliance on an Automated Combat Identification System (2009, background): “In general, studies with a variety of automated systems have shown that trust in, and reliance on, imperfect automation can be appropriate when automation reliability information is made available to the user (Cohen, Parasuraman, & Freeman, 1998; Lee & See, 2004; Sheridan & Parasuraman, 2006; St. ”
Working with Machines: The Impact of Algorithmic and Data-Driven Management on Human Workers (2015, background): “Interaction with intelligent machines Much research has investigated how people respond to intelligent machines such as automated manufacturing technologies [23, 36, 44], recommender systems [6], context-aware systems [3, 43], agents [35], and robots [30].”
Misuse of automated decision aids: Complacency, automation bias and the impact of training experience (2008, unknown): “J. Human-Computer Studies 66 (2008) 688–699 689 2000; Sheridan and Parasuraman, 2006).”
Constraint-based planning and control for safe, semi-autonomous operation of vehicles (2012, background): “As originally published in 1951 [5] and widely discussed since, humans and automation are uniquely well suited to specific types of tasks [6].”
The Operator 4.0: Human Cyber-Physical Systems & Adaptive Automation Towards Human-Automation Symbiosis Work Systems (2016, background): “…is that while they will still rely on the guidelines of ‘anthropocentric production systems’ [5], they will moreover feature ‘adaptive automation’ [7-9] for the dynamic allocation of control over manufacturing and assembly tasks to a human operator and/or a machine for the purpose of optimising…”
The Automation-by-Expertise-by-Training Interaction (2017, background): “Nevertheless, operators are responsible for supervisory control (Sarter & Woods, 1995; Sheridan & Parasuraman, 2005), that is, overseeing the automated processes to ensure system performance within acceptable parameters.”
Are Well-Calibrated Users Effective Users? Associations Between Calibration of Trust and Performance on an Automation-Aided Task (2015, background): “Some research has suggested that providing information regarding the aid’s reliability level or aid confidence may increase calibration (Lee & See, 2004; Sheridan & Parasuraman, 2006; St. John, Smallman, Manes, Feher, & Morrison, 2005).”
Haptic shared control: smoothly shifting control authority? (2012, background): “Literature on human factors in automation has widely reported on the disadvantages of inappropriate automation (Bainbridge 1983; Sheridan 2002; Sheridan and Parasuraman 2006).”