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Full-Text Articles in Robotics

Human-Robot Interaction: Proximity And Speed—Slowly Back Away From The Robot!, Keith R. Macarthur, Kimberly Stowers, Peter A. Hancock Jul 2016

Human-Robot Interaction: Proximity And Speed—Slowly Back Away From The Robot!, Keith R. Macarthur, Kimberly Stowers, Peter A. Hancock

Keith Reid MacArthur

This experiment was designed to evaluate the effects of proximity and speed of approach on trust in human-robot interaction (HRI). The experimental design used a 2 (Speed) × 2 (Proximity) mixed factorial design and trust levels were measured by self-report on the Human Robot Trust Scale and the Trust in Automation Scale. Data analyses indicate proximity [F(2, 146) = 6.842, p < 0.01, partial ŋ 2 = 0.086] and speed of approach [F(2, 146) = 2.885, p = 0.059, partial ŋ 2 = 0.038] are significant factors contributing to changes in trust levels.


“My Logic Is Undeniable”: Replicating The Brain For Ideal Artificial Intelligence, Samuel C. Adams Apr 2016

“My Logic Is Undeniable”: Replicating The Brain For Ideal Artificial Intelligence, Samuel C. Adams

Senior Honors Theses

Alan Turing asked if machines can think, but intelligence is more than logic and reason. I ask if a machine can feel pain or joy, have visions and dreams, or paint a masterpiece. The human brain sets the bar high, and despite our progress, artificial intelligence has a long way to go. Studying neurology from a software engineer’s perspective reveals numerous uncanny similarities between the functionality of the brain and that of a computer. If the brain is a biological computer, then it is the embodiment of artificial intelligence beyond anything we have yet achieved, and its architecture is advanced …


Human-Robot Versus Human-Human Relationship Impact On Comfort Levels Regarding In Home Privacy, Keith R. Macarthur, Thomas G. Macgillivray, Eva L. Parkhurst, Peter A. Hancock Mar 2016

Human-Robot Versus Human-Human Relationship Impact On Comfort Levels Regarding In Home Privacy, Keith R. Macarthur, Thomas G. Macgillivray, Eva L. Parkhurst, Peter A. Hancock

Keith Reid MacArthur

When considering in-group vs. out-group concepts, certain degrees of human relationships naturally assume one of two categories. Roles such as immediate and extended family members and friends tend to fit quite nicely in the in-group category. Strangers, hired help, as well as acquaintances would likely be members of the out-group category due to a lack of personal relation to the perceiver. Though an out-group member may possess cultural, socioeconomic, or religious traits that an individual may perceive as in-group, the fact that they are an unknown stranger should immediately place them in the out-group. From [K1] this notion, it can be inferred …


The Role Of Uncertainty In Categorical Perception Utilizing Statistical Learning In Robots, Nathaniel V. Powell Jan 2016

The Role Of Uncertainty In Categorical Perception Utilizing Statistical Learning In Robots, Nathaniel V. Powell

Graduate College Dissertations and Theses

At the heart of statistical learning lies the concept of uncertainty.

Similarly, embodied agents such as robots

and animals must likewise address uncertainty, as sensation

is always only a partial reflection of reality. This

thesis addresses the role that uncertainty can play in

a central building block of intelligence: categorization.

Cognitive agents are able to perform tasks like categorical perception

through physical interaction (active categorical perception; ACP),

or passively at a distance (distal categorical perception; DCP).

It is possible that the former scaffolds the learning of

the latter. However, it is unclear whether DCP indeed scaffolds

ACP in humans and …