scholarly journals The role of design and training in artifact expertise: The case of the abacus and visual attention

2018 ◽  
Author(s):  
Mahesh Srinivasan ◽  
Katherine Wagner ◽  
Michael C. Frank ◽  
David Barner

Previous accounts of how people develop expertise have focused on how deliberate practice transforms the cognitive and perceptual representations and processes that give rise to expertise. However, the likelihood of developing expertise with a particular tool may also depend on the degree to which that tool fits pre-existing perceptual and cognitive abilities. The present studies explored whether the abacus – a descendent of the first human computing devices – may have evolved to exploit general biases in human visual attention, or whether developing expertise with the abacus requires learning special strategies for allocating visual attention to the abacus. To address this question, we administered a series of visual search tasks to abacus experts and subjects who had little to no abacus experience, in which search targets and distractors were overlaid atop abacus “beads.” Across three studies, we found that both experts and naïve subjects were faster to detect targets in semantically-relevant components of the abacus, suggesting that abacus training is not required to exhibit attentional biases toward these components of the abacus. This finding suggests that the attentional biases that scaffold numerical processing of the abacus may emerge from general properties of visual attention that are exploited by the design of the abacus itself.

2018 ◽  
Author(s):  
Mahesh Srinivasan ◽  
Katherine Wagner ◽  
Michael C. Frank ◽  
David Barner

Previous accounts of how people develop expertise have focused on how deliberate practice transforms the cognitive and perceptual representations and processes that give rise to expertise. However, the likelihood of developing expertise with a particular tool may also depend on the degree to which that tool fits pre-existing perceptual and cognitive abilities. The present studies explored whether the abacus – a descendent of the first human computing devices – may have evolved to exploit general biases in human visual attention, or whether developing expertise with the abacus requires learning special strategies for allocating visual attention to the abacus. To address this question, we administered a series of visual search tasks to abacus experts and subjects who had little to no abacus experience, in which search targets and distractors were overlaid atop abacus “beads.” Across three studies, we found that both experts and naïve subjects were faster to detect targets in semantically-relevant components of the abacus, suggesting that abacus training is not required to exhibit attentional biases toward these components of the abacus. This finding suggests that the attentional biases that scaffold numerical processing of the abacus may emerge from general properties of visual attention that are exploited by the design of the abacus itself.


2018 ◽  
Vol 42 ◽  
pp. 757-782 ◽  
Author(s):  
Mahesh Srinivasan ◽  
Katie Wagner ◽  
Michael C. Frank ◽  
David Barner

Author(s):  
Sarah M. Miller ◽  
Wai-Tat Fu

Models of visual attention allocation suggest that monitoring is driven primarily by proximal cues like bandwidth and value. However, these cues might not always be predictive of the meaningful events an operator is asked to monitor. The aim of the current study is to extend visual sampling models by studying whether sampling can be influenced by more distal cues, like detecting patterns in the monitored signal, when proximal cues, like bandwidth, are not predictive of the meaningful events the operator is asked to monitor. Ten participants completed a task based on Senders' (1964) experiment where operators were asked to monitor a series of four gauges to detect when the gauges traveled into the alarm region. The performance results suggest that participants could successfully adapt to the temporal sequence. However, participants did not show explicit awareness of the sequence, indicating that this type of learning could, in some cases, be implicit. Implications for display design and training are discussed.


2020 ◽  
Vol 43 ◽  
Author(s):  
Andrew Whiten

Abstract The authors do the field of cultural evolution a service by exploring the role of non-social cognition in human cumulative technological culture, truly neglected in comparison with socio-cognitive abilities frequently assumed to be the primary drivers. Some specifics of their delineation of the critical factors are problematic, however. I highlight recent chimpanzee–human comparative findings that should help refine such analyses.


1999 ◽  
Author(s):  
Alex Chaparro ◽  
Loren Groff ◽  
Kamala Tabor ◽  
Kathy Sifrit ◽  
Leo J. Gugerty

2019 ◽  
Vol 34 (Spring 2019) ◽  
pp. 25-41
Author(s):  
Sidra Iqbal ◽  
Mah Nazir Riaz

The present study compared cognitive abilities and academic achievement of adolescents studying in three different school systems namely Urdu medium schools, English medium schools, and Cambridge system schools. The sample comprised of 1001 secondary school student. Cognitive abilities were assessed by Raven’s Standard Progressive Matrices (1960) and marks obtained by the students in the last annual examination were used as an index of academic achievement. Results showed that cognitive abilities of the students were positively associated with academic achievement of the respondents. It was further found that cognitive abilities and academic achievement of students studying in Cambridge school system was better as compared to those studying in other systems. Post-hoc comparison revealed that level of academic achievement of Urdu medium schools was lower as compared to English medium and Cambridge system of schools. The findings suggest that difference in schooling system influenced cognitive abilities and academic achievement of the students. Results further demonstrated that gender was a significant predictor of academic achievement in both Urdu and English medium schools. Future implications of the study were also discussed.


Author(s):  
S Leinster-Evans ◽  
J Newell ◽  
S Luck

This paper looks to expand on the INEC 2016 paper ‘The future role of virtual reality within warship support solutions for the Queen Elizabeth Class aircraft carriers’ presented by Ross Basketter, Craig Birchmore and Abbi Fisher from BAE Systems in May 2016 and the EAAW VII paper ‘Testing the boundaries of virtual reality within ship support’ presented by John Newell from BAE Systems and Simon Luck from BMT DSL in June 2017. BAE Systems and BMT have developed a 3D walkthrough training system that supports the teams working closely with the QEC Aircraft Carriers in Portsmouth and this work was presented at EAAW VII. Since then this work has been extended to demonstrate the art of the possible on Type 26. This latter piece of work is designed to explore the role of 3D immersive environments in the development and fielding of support and training solutions, across the range of support disciplines. The combined team are looking at how this digital thread leads from design of platforms, both surface and subsurface, through build into in-service support and training. This rich data and ways in which it could be used in the whole lifecycle of the ship, from design and development (used for spatial acceptance, HazID, etc) all the way through to operational support and maintenance (in conjunction with big data coming off from the ship coupled with digital tech docs for maintenance procedures) using constantly developing technologies such as 3D, Virtual Reality, Augmented Reality and Mixed Reality, will be proposed.  The drive towards gamification in the training environment to keep younger recruits interested and shortening course lengths will be explored. The paper develops the options and looks to how this technology can be used and where the value proposition lies. 


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