Improving Robustness Against Environmental Sounds for Directing Attention of Social Robots

2015 ◽  
pp. 25-34 ◽  
Author(s):  
Nicolai Bæk Thomsen ◽  
Zheng-Hua Tan ◽  
Børge Lindberg ◽  
Søren Holdt Jensen
Keyword(s):  
Social Robots ◽  
Environmental Sounds ◽  
Directing Attention

Cognitive Biases in Estimating the Similarity of Environmental Sounds

2007 ◽  
Author(s):  
Bruno L. Giordano ◽  
Stephen McAdams ◽  
John McDonnell
Keyword(s):  
Cognitive Biases ◽  
Environmental Sounds

Influencing Mind Wandering While Reading by Directing Attention Towards Current Concerns

2014 ◽  
Author(s):  
Kristopher Kopp ◽  
Caitlin Mills ◽  
Arthur Graesser ◽  
Sidney D'Mello
Keyword(s):  
Mind Wandering ◽  
Current Concerns ◽  
Directing Attention

Intentional Acceptance of Social Robots

2020 ◽  
Author(s):  
Chiara de Jong ◽  
Rinaldo Kühne ◽  
Jochen Peter ◽  
Caroline L. van Straten ◽  
Alex Barco
Keyword(s):  
Social Robots

Retrospective prioritization of multiple items during working memory storage

2019 ◽  
Author(s):  
Ashley DiPuma ◽  
Kelly Rivera ◽  
Edward Ester
Keyword(s):  
Working Memory ◽  
Memory Performance ◽  
Memory Item ◽  
Neutral Condition ◽  
Memory Storage ◽  
Single Item ◽  
Incorrect Item ◽  
Memory Precision ◽  
Neutral Conditions ◽  
Directing Attention

Working memory (WM) performance can be improved by an informative cue presented during storage. This effect, termed a retro-cue benefit, can be used to explore mechanisms of attentional prioritization in WM. Directing attention to a single item stored in memory is known to increase memory precision while decreasing the likelihood of incorrect item reports and random guesses, but it is unclear whether similar benefits manifest when participants direct attention to multiple items stored in memory. We tested this possibility by quantifying memory performance when participants were cued to prioritize one or two items stored in working memory. Consistent with prior work, cueing participants to prioritize a single memory item yielded higher recall precision, fewer swap errors, and fewer guesses relative to a neutral cue condition. Conversely, cueing participants to prioritize two memory items yielded fewer swap errors relative to a neutral condition, but no differences in recall precision or guess rates. Although swap rates were less likely during the cue-two vs. neutral conditions, planned comparisons revealed that when participants made swap errors during cue-two trials they were far more likely to confuse two prioritized stimuli than they were to confuse a prioritized stimulus vs. a non-prioritized stimulus. Our results suggest that it is possible to prioritize multiple items stored in memory, with the caveat that doing so may increase the probability of confusing prioritized items.

White Lies on Silver Tongues

2017 ◽  
Author(s):  
Alistair M. C. Isaac ◽  
Will Bridewell
Keyword(s):  
Theory Of Mind ◽  
Social Integration ◽  
Social Function ◽  
Social Robots ◽  
Artificial Agents ◽  
Ethical Evaluation ◽  
Ulterior Motive ◽  
The Social ◽  
Per Se ◽  
Crucial Condition

It is easy to see that social robots will need the ability to detect and evaluate deceptive speech; otherwise they will be vulnerable to manipulation by malevolent humans. More surprisingly, we argue that effective social robots must also be able to produce deceptive speech. Many forms of technically deceptive speech perform a positive pro-social function, and the social integration of artificial agents will be possible only if they participate in this market of constructive deceit. We demonstrate that a crucial condition for detecting and producing deceptive speech is possession of a theory of mind. Furthermore, strategic reasoning about deception requires identifying a type of goal distinguished by its priority over the norms of conversation, which we call an ulterior motive. We argue that this goal is the appropriate target for ethical evaluation, not the veridicality of speech per se. Consequently, deception-capable robots are compatible with the most prominent programs to ensure that robots behave ethically.

Directing attention in 360-degree video

2016 ◽  
Author(s):  
A. Sheikh ◽  
A. Brown ◽  
M. Evans ◽  
Z. Watson
Keyword(s):  
Directing Attention

A Reinforcement Learning Based Cognitive Empathy Framework for Social Robots

2020 ◽  
Author(s):  
Elahe Bagheri ◽  
Oliver Roesler ◽  
Hoang-Long Cao ◽  
Bram Vanderborght
Keyword(s):  
Reinforcement Learning ◽  
Cognitive Empathy ◽  
Social Robots
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