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Kerl Galindo

dblp:215/6400 · DBLP profile ↗
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3ranked-venue papers
1as first author
2since 2021 · last 2022
0000-0002-6857-5551ORCID · reported

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

Artificial intelligence and machine learning · 3 · 1 first-author · 2 since 2021Human-computer interaction and ubiquitous computing · 3 · 1 first-author · 2 since 2021Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author · 2 since 2021

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

TopicWeightPapersLastEvidence papers
Human-robot interaction › anthropomorphism
anthropomorphic design
0.312018
Haru: Hardware Design of an Experimental Tabletop Robot Assistant · HRI 2018
Human-robot interaction › social robot
social robot design
0.312018
Haru: Hardware Design of an Experimental Tabletop Robot Assistant · HRI 2018

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

design thinking · 0.3
YearPublicationVenuePosition
2022 The LMA12-O Framework for Emotional Robot Eye Gestures
abstract
The eyes play a significant role in how robots are perceived socially by humans due to the eye’s centrality in human communication. To date there has been no consistent or reliable system for designing and transferring affective emotional eye gestures to anthropomorphized social robots. Combining research findings from Oculesics, Laban Movement Analysis and the Twelve Principles of Animation, this paper discusses the design and evaluation of the prototype LMA12-O framework for the purpose of maximising the emotive communication potential of eye gestures in anthropomorphized social robots. Results of initial user testings evidenced LMA12-O to be effective in designing affective emotional eye gestures in the test robot with important considerations for future iterations of this framework.
Kerl Galindo, Deborah Szapiro, Randy Gomez
RO-MAN1
2021 Exploring Affective Storytelling with an Embodied Agent
abstract
In this paper, we explore the storytelling potential of a robot. We exploit the use of creative contents that maximize the embodied communication affordance of the empathic robot Haru. We identify the elements in storytelling such as narration, agency, engagement and education and synthesized these into the robot. Through effective design we investigated the possible answers that could leverage the limitations and the challenges in developing storytelling applications through a robotic medium. Our preliminary findings show that the use of an embodied agent such as a robot in storytelling only has meaning when its communicative affordance (i.e. embodiment, expressiveness, and other modalities) is tapped, adding new dimension to the experience. Otherwise, traditional storytelling delivery (e.g. tablet) without the use of embodiment will suffice. Hence, robots need to be performers rather than just mere props in storytelling.
Randy Gomez, Deborah Szapiro, Kerl Galindo, Luis Merino, Heike Brock, Keisuke Nakamura, Yu Fang 0007, Eric Nichols
RO-MAN3
2018 Haru: Hardware Design of an Experimental Tabletop Robot Assistant
abstract
This paper discusses the design and development of an experimental tabletop robot called "Haru" based on design thinking methodology. Right from the very beginning of the design process, we have brought an interdisciplinary team that includes animators, performers and sketch artists to help create the first iteration of a distinctive anthropomorphic robot design based on a concept that leverages form factor with functionality. Its unassuming physical affordance is intended to keep human expectation grounded while its actual interactive potential stokes human interest. The meticulous combination of both subtle and pronounced mechanical movements together with its stunning visual displays, highlight its affective affordance. As a result, we have developed the first iteration of our tabletop robot rich in affective potential for use in different research fields involving long-term human-robot interaction.
Randy Gomez, Deborah Szapiro, Kerl Galindo, Keisuke Nakamura
HRI3