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.

Patrik Björnfot

dblp:137/1150 · DBLP profile ↗
← Back
2ranked-venue papers
2as first author
0since 2021 · last 2017
0000-0003-4719-9523ORCID · corroborated

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

Artificial intelligence and machine learning · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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 · 77% Interaction techniques and input · 23%

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

TopicWeightPapersLastEvidence papers
Human-robot interaction › nonverbal communication
deictic gesture
0.312017
Probing the Design Space of a Telepresence Robot Gesture Arm with Low Fidelity Prototypes · HRI 2017

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

mixed-method study · 0.3low-fidelity prototyping · 0.3elicitation study · 0.3design provocation · 0.3
YearPublicationVenuePosition
2017 Probing the Design Space of a Telepresence Robot Gesture Arm with Low Fidelity Prototypes
abstract
The general problem addressed in this paper is supporting a more efficient communication between remote users, who control telepresence robots, and people in the local setting. The design of most telepresence robots does not allow them to perform gestures. Given the key role of pointing in human communication, exploring design solutions for providing telepresence robots with deictic gesturing capabilities is, arguably, a timely research issue for Human-Robot Interaction. To address this issue, we conducted an empirical study, in which a set of low fidelity prototypes, illustrating various designs of a robot's gesture arm, were assessed by the participants (N=18). The study employed a mixed-method approach, a combination of a controlled experiment, elicitation study, and design provocation. The evidence collected in the study reveals participants' assessment of the designs, used in the study, and provides insights into participants' attitudes and expectations regarding gestural communication with telepresence robots in general
Patrik Björnfot, Victor Kaptelinin
HRI1
2015 Focus Group Foci: Employing Participants' HCI and Application Domain Expertise in Interaction Design
Patrik Björnfot, Victor Kaptelinin
WorldCIST (1)1