Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from EDBT 2026 / reviewers in the wild / expert

Tayler Boelk

dblp:237/8516 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

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

Artificial intelligence and machine learning · 1Human-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 › human behavior modeling › social perception
social perception of robots		 0.412019
The Pratfall Effect and Interpersonal Impressions of a Robot that Forgets and Apologizes · HRI 2019
YearPublicationVenuePosition
2019 The Pratfall Effect and Interpersonal Impressions of a Robot that Forgets and Apologizes
abstract
The current study examines the pratfall effect and interpersonal impressions of how humans perceive robots that appear forgetful and apologetic regarding information given to them by a human. Results demonstrated that the non-forgetful robot was perceived higher for interpersonal impressions when compared to the forgetful and forgetful apologizing robots.
Christine Packard, Tayler Boelk, James Andres, Chad Edwards, Autumn Edwards, Patric R. Spence
 HRI2