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  • 1. Manuvinakurike, Ramesh
    et al.
    Paetzel, Maike
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Qu, Cheng
    Schlangen, David
    DeVault, David
    Toward incremental dialogue act segmentation in fast-paced interactive dialogue systems2016In: Proc. 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2016, p. 252-262Conference paper (Refereed)
  • 2. Mota, Pedro
    et al.
    Paetzel, Maike
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Fox, Andrea
    Amini, Aida
    Srinivasan, Siddarth
    Kennedy, James
    Lehman, Jill Fain
    Expressing coherent personality with incremental acquisition of multimodal behaviors2018In: Proc. 27th International Symposium on Robot and Human Interactive Communication, IEEE, 2018, p. 396-403Conference paper (Refereed)
  • 3.
    Paetzel, Maike
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. RoboCup Team Hamburg Bit-Bots.
    A multidimensional perspective on the uncanny valley effect: Studying the interplay between a robot's appearance and interaction strategy2017In: Proc. Companion of 12th ACM/IEEE International Conference on Human-Robot Interaction, New York: ACM Press, 2017, p. 363-364Conference paper (Refereed)
  • 4.
    Paetzel, Maike
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    The influence of appearance and interaction strategy of a social robot on the feeling of uncanniness in humans2016In: Proc. 18th ACM International Conference on Multimodal Interaction, New York: ACM Press, 2016, p. 522-526Conference paper (Refereed)
  • 5.
    Paetzel, Maike
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. RoboCup Team Hamburg Bit-Bots.
    Baltes, Jacky
    Gerndt, Reinhard
    Robots as Individuals in the Humanoid League2016In: RoboCup 2016: Robot World Cup XX, Springer, 2016Conference paper (Refereed)
    Abstract [en]

    Having the goal of winning against the human world champions in soccer in 2050 in mind, the Humanoid League is facing the challenges of having to increase field and robot size until the sizes of regular fields and regular players are reached in the year 2040. The next major step is foreseen for the year 2020, when minimum robot size will increase by 50%, the number of robots per team will increase and the field size will fourfold. All three aspects will have a crucial impact. For the organizers, it will become increasingly hard, if not impossible at some point, to make arrangements for up to six fields at the RoboCup venue. For the participants, sustaining a team of ever increasing robots, in size and numbers will be a similar challenge. We believe that the 2050 goal can only be achieved if a new scheme of competition of individual robots, playing with others, can be found. Then, teams could focus on a single robot. To encourage this, we propose to revise the competition scheme, moving away from participating with a team of robots to participating with a single robot, that preserves the competitive element of ranking performance of individual robots and awarding trophies. This paper is intended to spark a discussion of a rule change to encourage participation of single robots in the Humanoid League and still contribute to reaching the 2050 goal.

  • 6.
    Paetzel, Maike
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Castellano, Ginevra
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Let me get to know you better: Can interactions help to overcome uncanny feelings?2019In: Proc. 7th International Conference on Human–Agent Interaction, New York: ACM Press, 2019, p. 59-67Conference paper (Refereed)
  • 7.
    Paetzel, Maike
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Hupont, Isabelle
    Varni, Giovanna
    Chetouani, Mohamed
    Peters, Christopher
    Castellano, Ginevra
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Exploring the link between self-assessed mimicry and embodiment in HRI2017In: Proc. Companion of 12th ACM/IEEE International Conference on Human-Robot Interaction, New York: ACM Press, 2017, p. 245-246Conference paper (Refereed)
  • 8.
    Paetzel, Maike
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Kennedy, James
    Castellano, Ginevra
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Lehman, Jill Fain
    Incremental acquisition and reuse of multimodal affective behaviors in a conversational agent2018In: Proc. 6th International Conference on Human-Agent Interaction, New York: ACM Press, 2018, p. 92-100Conference paper (Refereed)
  • 9.
    Paetzel, Maike
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Manuvinakurike, Ramesh
    Institute for Creative Technologies, University of Southern California, USA.
    "Can you say more about the location?": The Development of a Pedagogical Reference Resolution Agent2019Conference paper (Refereed)
    Abstract [en]

    In an increasingly globalized world, geographic literacy is crucial. In this paper, we present a collaborative two-player game to improve people's ability to locate countries on the world map. We discuss two implementations of the game: First, we created a web-based version which can be played with the remote-controlled agent Nellie. With the knowledge we gained from a large online data collection, we re-implemented the game so it can be played face-to-face with the Furhat robot Neil. Our analysis shows that participants found the game not just engaging to play, they also believe they gained lasting knowledge about the world map.

  • 10.
    Paetzel, Maike
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Peters, Christopher
    KTH Royal Inst Technol, Stockholm, Sweden.
    Nyström, Ingela
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Castellano, Ginevra
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Congruency Matters – How ambiguous gender cues increase a robot’s uncanniness2016In: Social Robotics, Springer, 2016, p. 402-412Conference paper (Refereed)
    Abstract [en]

    Most research on the uncanny valley effect is concerned with the influence of human-likeness and realism as a trigger of an uncanny feeling in humans. There has been a lack of investigation on the effect of other dimensions, for example, gender. Back-projected robotic heads allow us to alter visual cues in the appearance of the robot in order to investigate how the perception of it changes. In this paper, we study the influence of gender on the perceived uncanniness. We conducted an experiment with 48 participants in which we used different modalities of interaction to change the strength of the gender cues in the robot. Results show that incongruence in the gender cues of the robot, and not its specific gender, influences the uncanniness of the back-projected robotic head. This finding has potential implications for both the perceptual mismatch and categorization ambiguity theory as a general explanation of the uncanny valley effect.

  • 11.
    Paetzel, Maike
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Peters, Christopher
    KTH Royal Inst Technol, Stockholm, Sweden.
    Nyström, Ingela
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Castellano, Ginevra
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Effects of multimodal cues on children's perception of uncanniness in a social robot2016In: Proc. 18th ACM International Conference on Multimodal Interaction, 2016, p. 297-301Conference paper (Refereed)
    Abstract [en]

    This paper investigates the influence of multimodal incongruent gender cues on the perception of a robot's uncanniness and gender in children. The back-projected robot head Furhat was equipped with a female and male face texture and voice synthesizer and the voice and facial cues were tested in congruent and incongruent combinations. 106 children between the age of 8 and 13 participated in the study. Results show that multimodal incongruent cues do not trigger the feeling of uncanniness in children. These results are significant as they support other recent research showing that the perception of uncanniness cannot be triggered by a categorical ambiguity in the robot. In addition, we found that children rely on auditory cues much stronger than on the facial cues when assigning a gender to the robot if presented with incongruent cues. These findings have implications for the robot design, as it seems possible to change the gender of a robot by only changing its voice without creating a feeling of uncanniness in a child.

  • 12.
    Paetzel, Maike
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Peters, Christopher
    Nyström, Ingela
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Castellano, Ginevra
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Preliminary results from using a back-projected robot head in uncanny valley research2016In: Proc. 25th International Symposium on Robot and Human Interactive Communication, Piscataway, NJ: IEEE, 2016, p. 944-945Conference paper (Other academic)
  • 13.
    Paetzel, Maike
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. RoboCup Team Hamburg Bit-Bots.
    Varni, Giovanna
    Univ Paris 06, Inst Syst Intelligents & Robot, Paris, France.
    Hupont, Isabelle
    Univ Paris 06, Inst Syst Intelligents & Robot, Paris, France.
    Chetouani, Mohamed
    Univ Paris 06, Inst Syst Intelligents & Robot, Paris, France.
    Peters, Christopher
    KTH Royal Inst Technol, Dept Computat Sci Technol, Stockholm, Sweden.
    Castellano, Ginevra
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Investigating the influence of embodiment on facial mimicry in HRI using computer vision-based measures2017In: Proc. 26th International Symposium on Robot and Human Interactive Communication (Ro-Man), IEEE, 2017, p. 579-586Conference paper (Refereed)
    Abstract [en]

    Mimicry plays an important role in social interaction. In human communication, it is used to establish rapport and bonding both with other humans, as well as robots and virtual characters. However, little is known about the underlying factors that elicit mimicry in humans when interacting with a robot. In this work, we study the influence of embodiment on participants' ability to mimic a social character. Participants were asked to intentionally mimic the laughing behavior of the Furhat mixed embodied robotic head and a 2D virtual version of the same character. To explore the effect of embodiment, we present two novel approaches to automatically assess people's ability to mimic based solely on videos of their facial expressions. In contrast to participants' self-assessment, the analysis of video recordings suggests a better ability to mimic when people interact with the 2D embodiment.

  • 14.
    Paetzel, Maike
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Varni, Giovanna
    Univ Paris Saclay, Telecom ParisTech, LTCI, F-75013 Paris, France.
    Hupont, Isabelle
    Sorbonne Univ, Inst Syst Intelligents & Robot, CNRS, UMR7222, Paris, France.
    Chetouani, Mohamed
    Sorbonne Univ, Inst Syst Intelligents & Robot, CNRS, UMR7222, Paris, France.
    Peters, Christopher
    KTH Royal Inst Technol, Dept Computat Sci Technol, Stockholm, Sweden.
    Castellano, Ginevra
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    The attribution of emotional state: How embodiment features and social traits affect the perception of an artificial agent2018In: Proc. 27th International Symposium on Robot and Human Interactive Communication, IEEE, 2018, p. 495-502Conference paper (Refereed)
    Abstract [en]

    Understanding emotional states is a challenging task which frequently leads to misinterpretation even in human observers. While the perception of emotions has been studied extensively in human psychology, little is known about what factors influence the human perception of emotions in robots and virtual characters. In this paper, we build on the Brunswik lens model to investigate the influence of (a) the agent's embodiment using a 2D virtual character, a 3D blended embodiment, a recording of the 3D platform and a recording of a human, as well as (b) the level of human-likeness on people's ability to interpret emotional facial expressions in an agent. In addition, we measure social traits of the human observers and analyze how they correlate to the success in recognizing emotional expressions. We find that interpersonal differences play a minor role in the perception of emotional states. However, both embodiment and human-likeness as well as related perceptual dimensions such as perceived social presence and uncanniness have an effect on the attribution of emotional states.

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