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Publikasjoner
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van Otterdijk, Maria Theodorus Henricus; Neggers, Margot; T?rresen, Jim & Barakova, Emilia
(2024).
A Study on Congruency in Expressive Robot Movement While Delivering Food to Seniors.
I Zhang, Houxiang & Shi, Qing (Red.),
Proceedings of the 2024 IEEE International Conference on Real-time Computing and Robotics (RCAR).
IEEE conference proceedings.
ISSN 979-8-3503-7260-1.
doi:
10.1109/RCAR61438.2024.10670931.
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Sandanger, Tonje Viddal; Sivachandran, Annica; Eriksen, Roman Stenseth; Baselizadeh, Adel; van Otterdijk, Maria & Kwak, Dongho
[Vis alle 7 forfattere av denne artikkelen]
(2024).
Users’ perception and dynamic motion velocity matching in human-robot approach scenarios.
I Harada, Kensuke; Demircan, Emel & Weiss, Astrid (Red.),
Proceedings of 2024 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO 2024).
IEEE (Institute of Electrical and Electronics Engineers).
ISSN 9798350344646.
s. 67–73.
doi:
10.1109/ARSO60199.2024.10557976.
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Kwak, Dongho; Baselizadeh, Adel; van Otterdijk, Marieke; Saplacan, Diana & T?rresen, Jim
(2024).
"Noisy" Matching of Motion Velocity of an Assistive Robot to the Users' Walking Velocity.
ACM/IEEE International Conference on Human-Robot Interaction (HRI).
ISSN 2167-2121.
doi:
10.1145/3610978.3640546.
Vis sammendrag
This study investigates the impact of dynamic matching of robot motion velocity to users' walking velocity in a human-robot approach scenario on three categories: perceived comfort, interactivity, and naturalness. Considering age diversity, participants were divided into two age groups. Young participants tended to rate higher for all three categories when the robot's approaching velocity was dynamically matched. In contrast, elderly participants preferred a steady and slow robot approach for comfort and predictability. These findings contribute to the ongoing effort to design assistive robots that effectively cater to diverse user groups, ultimately enhancing user satisfaction and acceptance. Taken together, this study highlights the importance of dynamically tailoring robot behaviors based on user demographics for positive Human-Robot Interactions.
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van Otterdijk, Marieke; Saplacan, Diana; Laeng, Bruno & T?rresen, Jim
(2024).
An Exploratory Study on People's Intuitive Understanding of Expressive Robot Behavior.
ACM/IEEE International Conference on Human-Robot Interaction (HRI).
ISSN 2167-2121.
s. 1072–1076.
doi:
10.1145/3610978.3640568.
Vis sammendrag
Robots are anticipated to communicate with humans in our social context. Using nonverbal communication by robots increases communication comprehension because humans intuitively understand such behavior due to their experience of human-human interaction. Thus, this behavior is suitable for studying what makes robot motion intuitive to understand in human-robot interaction (HRI). We study how robot features help humans intuitively grasp expressive robot gestures, concentrating on what makes behavior easy to interpret. After watching eighteen nine-second videos of three robot kinds demonstrating expressive robot actions, 50 participants completed an open-ended survey. Our findings highlight the inputs, mediating factors, and outputs that users reported based on observing examples of expressive robot behavior. These insights are a starting point for analyzing robot behavior from the perspective of intuition and provide a foundation for a theoretical framework for intuition in HRI.
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van Otterdijk, Marieke; Laeng, Bruno; Saplacan, Diana & T?rresen, Jim
(2024).
The Effect of Expressive Robot Behavior on Users’ Mental Effort: A Pupillometry Study.
IEEE Transactions on Cognitive and Developmental Systems.
ISSN 2379-8920.
16(2),
s. 474–484.
doi:
10.1109/TCDS.2024.3352893.
Vis sammendrag
Robots are becoming part of our social landscape. Social interaction with humans must be efficient and intuitive to understand because nonverbal cues make social interactions between humans and robots more efficient. This study measures mental effort to investigate factors influencing the intuitive understanding of expressive nonverbal robot motions. Using an eye tracker to measure pupil response and gaze, fifty participants were asked to watch eighteen short video clips featuring three different types of robots performing expressive robot behaviors. Our findings indicate that the appearance of the robot, the viewing angle, and the expression shown by the robot all influence the cognitive load. Therefore, they may affect the intuitive understanding of expressive robot behavior. Furthermore, we found differences in the fixation time for different features of the various robots. With these insights, we identified possible improvement directions for making interactions between humans and robots more efficient and intuitive.
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van Otterdijk, Marieke; Saplacan, Diana; Baselizadeh, Adel; Laeng, Bruno & T?rresen, Jim
(2023).
To Shake or Not to Shake: Intuitive Reactions of Senior Adults to a Robot Handshake in a Western Culture,
Proceedings of the 32nd IEEE International Conference on Robot & Human Interactive Communication (RO-MAN) 2023.
IEEE conference proceedings.
ISSN 979-8-3503-3671-9.
s. 890–896.
doi:
10.1109/RO-MAN57019.2023.10309608.
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van Otterdijk, Marieke; Saplacan, Diana; Laeng, Bruno & Torresen, Jim
(2022).
Explorative Study on Human Intuitive Responses to Observing
Expressive Robot Behavior.
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van Otterdijk, Marieke; Song, Heqiu; Tsiakas, Konstantinos; van Zeijl, Ilka & Barakova, Emilia
(2022).
Nonverbal Cues Expressing Robot Personality - a Movement Analysts Perspective.
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Publisert
17. aug. 2021 14:02
- Sist endret
14. mars 2022 11:11