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  • 1.
    Hsueh, Stacy
    et al.
    KTH.
    Vincenzi, Beatrice
    KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.
    Murdeshwar, Akshata
    KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.
    Ciolfi Felice, Marianela
    KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.
    Cripping Data Visualizations: Crip Technoscience as a Critical Lens for Designing Digital Access2023In: PROCEEDINGS OF THE 25TH INTERNATIONAL ACM SIGACCESS CONFERENCE ON COMPUTERS AND ACCESSIBILITY, ASSETS 2023, Association for Computing Machinery (ACM) , 2023, article id 25Conference paper (Refereed)
    Abstract [en]

    Data visualizations have become the primary mechanism for engaging with quantitative information. However, many of these visualizations are inaccessible to blind and low vision people. This paper investigates the challenge of designing accessible data visualizations through the lens of crip technoscience. We present four speculative design case studies that conceptually explore four qualities of access built on crip wisdom: access as an ongoing process, a frictional practice, an aesthetic experience, and transformation. Each speculative study embodies inquiry and futuring, making visible common assumptions about access and exploring how an alternative crip-informed framework can shape designs that foreground the creativity of disabled people. We end by presenting tactics for designing digital access that de-centers the innovation discourse.

  • 2.
    Latupeirissa, Adrian Benigno
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.
    Murdeshwar, Akshata
    KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.
    Bresin, Roberto
    KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.
    Semiotic analysis of robot sounds in films: implications for sound design in social roboticsManuscript (preprint) (Other academic)
    Abstract [en]

    This paper investigates the sound design of robots in films and their potential influence on the field of social robotics. Cinematic robot portrayals have inspired researchers and practitioners in Human-Robot Interaction (HRI). While the non-verbal sounds of iconic film robots like R2-D2 and Wall-E have been explored, this study takes a more comprehensive approach. We explore a broader selection of 15 films featuring humanoid robots across decades through a semiotic analysis of their non-verbal communication sounds, including those related to movements and internal mechanisms. Our analysis, guided by Bateman and Schmidt’s multimodal film analysis framework following Saussure’s organization of signs through paradigmatic and syntagmatic relations, interprets the paradigmatic axis as the examination of the sound and the syntagmatic axis as the examination of the events surrounding the sound. The findings uncover two primary film robot sound materials: mechanical and synthetic. Additionally, contextual analysis reveals three narrative themes and several sub-themes related to the physical attributes of robots, their internal workings, and their interactions with other characters. The discussion section explores the implications of these findings for social robotics, including the importance of sound materials, the role of movement sounds in communication and emotional expression, and the significance of narrative and context in human-robot interaction. The paper also acknowledges the challenges in translating film sound design into practical applications in social robotics. This study provides valuable insights for HRI researchers, practitioners, and sound designers seeking to enhance non-verbal auditory expressions in social robots.

  • 3.
    Rafi, Ayesha Kajol
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.
    Murdeshwar, Akshata
    KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.
    Latupeirissa, Adrian Benigno
    KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.
    Bresin, Roberto
    KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.
    Investigating the Role of Robot Voices and Sounds in Shaping Perceived Intentions2023In: HAI 2023 - Proceedings of the 11th Conference on Human-Agent Interaction, Association for Computing Machinery (ACM) , 2023, p. 425-427Conference paper (Refereed)
    Abstract [en]

    This study explores if, and how, the choices made regarding a robot's speaking voice and characteristic body sounds influence viewers' perceptions of its intent i.e., whether the robot's intention is positive or negative. The analysis focuses on robot representations and sounds in three films: "Robots"(2005) [1], "NextGen"(2018) [2], and "Love, Death, and Robots - Three Robots"(2019) [3]. In eight qualitative interviews, five parameters (tonality, intonation, volume, pitch, and speed) were used to understand robot sounds and the participant's perception of a robot's attitude and intentions. The study culminates in a set of recommendations and considerations for human-robot interaction designers to consider while sound coding for body, physiology, and movement.

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