cs.HC · 2026-07-28 · No. 67

Human-Computer Interaction, 2026-07-28.

4 new papers in cs.HC. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

4 entries
  1. 01

    EEGForceFusion: Joint Tokenised-Continuous Representation Learning for Subject-Independent Grasp Force Decoding

    Sankalp Sunil Turankar, Yogesh Kumar Meena

    cs.HC · cs.AI · cs.ET

    Brain-machine interfaces provide a link between neural activity and external devices, enabling restoration of motor function and advancing human-machine interaction using non-invasive electroencephalography (EEG). However, continuous grasp force decoding remains challenging due to complex temporal dynamics, high inter-subject variability, and limited generalisation of existing approaches. To address this, we propose a hybrid EEG decoding...

    arxiv.org/abs/2607.24126 · PDF

  2. 02

    Towards simultaneous decoding of kinetic and kinematic movement parameters during grasp and lift task by noninvasive brain imaging

    Parth G. Dangi, Yogesh Kumaar Meena

    cs.HC · cs.AI · cs.ET

    Brain-machine interfaces (BMIs) can assist individuals with limited mobility, such as stroke survivors or amputees. One of the key challenges in developing BMIs is expanding their usability and control, which can be achieved by accurately decoding multiple kinematic and kinetic parameters. To address this, we propose three regression models: partial least squares regressor, multilayered perceptron, and attention based regressor, to decode...

    arxiv.org/abs/2607.24081 · PDF

  3. 03

    A Sustainable Remote Access Architecture for Digital Inclusion through the Reuse of Discredited TV-BOX Devices

    Italo Thiago Felix dos Santos, Carlos Eduardo Correa Queiroz, Adevan Neves Santos, Edgard Luciano Oliveira da Silva

    cs.HC · cs.CY · cs.DC

    Digital inclusion and the volume of electronic waste (e-waste) are major challenges for society, with direct impacts on the educational context. Educational institutions, especially those with limited resources, face difficulties in expanding and maintaining computer laboratories. This paper presents the implementation of a sustainable, low-cost Desktop Virtualization Infrastructure (VDI) developed through the reuse of discarded electronic...

    arxiv.org/abs/2607.23935 · PDF

  4. 04

    Visible to the Court: How AI Is (and Isn't) Litigated in U.S. Federal Court Opinions

    Julie Yu, Rock Yuren Pang, Jevan Hutson, Katharina Reinecke

    cs.HC · cs.AI · cs.CY

    In the United States, artificial intelligence (AI) is rapidly deployed amid limited federal regulation. With courts become a recurring forum in which AI-related practices are scrutinized, it is important to empirically understand the AI litigation landscape to date. We address this gap through a systematic review of 559 U.S. federal court opinions in which AI plays a role in the parties' contentions, taxonomizing (1) common topics of dispute,...

    arxiv.org/abs/2607.23888 · PDF

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