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Victoria Floerke

dblp:161/3431 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2015
0000-0002-4308-4633ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction › anthropomorphism
uncanny valley
0.212015
Too Much Humanness for Human-Robot Interaction: Exposure to Highly Humanlike Robots Elicits Aversive Responding in Observers · CHI 2015

Methods — techniques the papers use, named apart from their topics

subjective ratings · 0.2physiological measures · 0.2
YearPublicationVenuePosition
2015 Too Much Humanness for Human-Robot Interaction: Exposure to Highly Humanlike Robots Elicits Aversive Responding in Observers
abstract
People tend to anthropomorphize agents that look and/or act human, and further, they tend to evaluate such agents more positively. This, in turn, has motivated the development of robotic agents that are humanlike in appearance and/or behavior. Yet, some agents -- often those with highly humanlike appearances -- have been found to elicit the opposite, wherein they are evaluated more negatively than their less humanlike counterparts. These trends are captured by Masahiro Mori's uncanny valley hypothesis, which describes a (uncanny) valley in emotional responding - a switch from affinity to dislike - elicited by agents that are ``too humanlike'. However, while the valley phenomenon has been repeatedly observed via subjective measures, it remains unknown as to whether such evaluations reflect a potential impact to a person's behavior (i.e., aversion). We attempt to address this gap in the literature via a novel experimental paradigm employing both traditional subjective ratings, as well as measures of peoples' behavioral and phsyiological responding. The results show that not only do people rate highly humanlike robots as uncanny, but moreover, they exhibit greater avoidance of such encounters than encounters with less humanlike and human agents. Thus, the findings not only support Mori's hypothesis, but further, they indicate the valley should be taken as a serious consideration for peoples' interactions with humanlike agents.
Megan K. Strait, Lara Vujovic, Victoria Floerke, Matthias Scheutz, Heather L. Urry
CHI3