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Salla Jarske

dblp:302/2528 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2025
0000-0002-9476-3249ORCID · verified

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

Artificial intelligence and machine learning · 2 · 2 since 2021Human-computer interaction and ubiquitous computing · 2 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 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 · 62% Collaborative and social computing · 19% Human-AI interaction · 19%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
social robot
0.612022
Adolescents' Perceptions of the Role of Social Robots in Civic Participation: An Exploratory Study · HRI 2022
Human-AI interaction
decision support
0.212022
Adolescents' Perceptions of the Role of Social Robots in Civic Participation: An Exploratory Study · HRI 2022
Collaborative and social computing › social influence
social facilitation
0.212022
Adolescents' Perceptions of the Role of Social Robots in Civic Participation: An Exploratory Study · HRI 2022

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

ideation study · 0.6exploratory study · 0.6
YearPublicationVenuePosition
2025 The Myth Buster Robot: Supporting Older Adults' Robot Literacy through Robot-Assisted Data Privacy Learning Application
abstract
Robots interacting with humans pose data privacy risks, potentially leading to uncontrollable leaks of personal information. Robots interact with older adults in public places, homes, care facilities, and hospitals. Older adults may have concerns about privacy issues related to robots and would benefit from developing their robot literacy skills regarding data privacy. Research on older adults’ robot literacy in relation to data privacy is scarce. We conducted a qualitative and explorative human-centered design study with care home residents (N=9) to explore their perceptions of and interest in robot data privacy literacy. In the study, they interacted with an early prototype of a robot-assisted learning application implemented on the social robot QTrobot. Participants were concerned about the "superpowers" and data storage of robots. Based on our findings and existing literature, we redesigned the prototype into "Myth Buster," a robot-assisted learning application aimed at enhancing older adults’ data privacy literacy regarding robots. Our work contributes to the understanding of older adults’ data privacy literacy, which is currently under-researched in Human-Robot Interaction. We also present design-relevant insights for developing robot-assisted data privacy learning applications to enhance robot literacy of older adults.
Aino Ahtinen, Salla Jarske, Aparajita Chowdhury, Hilla Kiuru, Paula Vasara, Heli Valokivi, Harri Siirtola, Roope Raisamo
RO-MAN2
2022 Adolescents' Perceptions of the Role of Social Robots in Civic Participation: An Exploratory Study
abstract
Civic technologies are aimed at supporting citizens to participate in democratic processes. Civic robots - social robots that are designed to support people in civic participation - have potential to lower the barriers of participation especially for youth who face obstacles in participating through formal channels. We conducted an exploratory study with adolescents to investigate their perceptions of possible roles for civic robots. In the study, we asked participants of a youth event ($\mathrm{n}=24$, age range 14–21) to ideate civic participation related purposes and concepts for social robots. The findings suggest that scenarios in which a robot serves as social facilitator or provides decision support for civic activities seem promising. In addition, civic robots could indirectly increase participation ability by providing emotional or social support.
Kirsikka Kaipainen, Salla Jarske, Jari Varsaluoma, Kaisa Väänänen
HRI2