VLDB 2026 Research / reviewers in the wild / expert
Olle Wallberg
dblp:264/7168
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none
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 · 87% Usability and user experience research · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction › robot embodiment
embodiment effect |
0.4 | 1 | 2020 | Embodiment Effects in Interactions with Failing Robots · CHI 2020 |
Human-robot interaction
robot failure |
0.4 | 1 | 2020 | Embodiment Effects in Interactions with Failing Robots · CHI 2020 |
Usability and user experience research
user perception |
0.1 | 1 | 2020 | Embodiment Effects in Interactions with Failing Robots · CHI 2020 |
Methods — techniques the papers use, named apart from their topics
user study · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Embodiment Effects in Interactions with Failing RobotsabstractThe increasing use of robots in real-world applications will inevitably cause users to encounter more failures in interactions. While there is a longstanding effort in bringing human-likeness to robots, how robot embodiment affects users' perception of failures remains largely unexplored. In this paper, we extend prior work on robot failures by assessing the impact that embodiment and failure severity have on people's behaviours and their perception of robots. Our findings show that when using a smart-speaker embodiment, failures negatively affect users' intention to frequently interact with the device, however not when using a human-like robot embodiment. Additionally, users significantly rate the human-like robot higher in terms of perceived intelligence and social presence. Our results further suggest that in higher severity situations, human-likeness is distracting and detrimental to the interaction. Drawing on quantitative findings, we discuss benefits and drawbacks of embodiment in robot failures that occur in guided tasks. Dimosthenis Kontogiorgos, Sanne van Waveren, Olle Wallberg, André Pereira 0001, Iolanda Leite, Joakim Gustafson |
CHI | 3 |