Hana Andargie Kassie

dblp:371/1833 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0001-3680-0400ORCID · reported

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

Artificial intelligence and machine learning · 1 · 1 since 2021Human-computer interaction and ubiquitous 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
Usability and user experience research · 100%

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

TopicWeightPapersLastEvidence papers
Usability and user experience research
technology acceptance
0.812024
Autonomy Acceptance Model (AAM): The Role of Autonomy and Risk in Security Robot Acceptance · HRI 2024
Usability and user experience research › technology acceptance
technology acceptance model
0.212024
Autonomy Acceptance Model (AAM): The Role of Autonomy and Risk in Security Robot Acceptance · HRI 2024

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

online experiment · 0.8between-subjects design · 0.8
YearPublicationVenuePosition
2024 Autonomy Acceptance Model (AAM): The Role of Autonomy and Risk in Security Robot Acceptance
abstract
The rapid deployment of security robots across our society calls for further examination of their acceptance. This study explored human acceptance of security robots by theoretically extending the technology acceptance model to include the impact of autonomy and risk. To accomplish this, an online experiment involving 236 participants was conducted. Participants were randomly assigned to watch a video introducing a security robot operating at an autonomy level of low, moderate, or high, and presenting either a low or high risk to humans. This resulted in a 3 (autonomy) × 2 (risk) between-subjects design. The findings suggest that increased perceived usefulness, perceived ease of use, and trust enhance acceptance, while higher robot autonomy tends to decrease acceptance. Additionally, the physical risk associated with security robots moderates the relationship between autonomy and acceptance. Based on these results, this paper offer recommendations for future research on security robots.
Xin Ye 0027, Wonse Jo, Arsha Ali, Samia Cornelius, Connor Esterwood, Hana Andargie Kassie, Lionel P. Robert Jr.
HRI6