ArticleFrontiers in neuroscience2017
Improving Challenge/Skill Ratio in a Multimodal Interface by Simultaneously Adapting Game Difficulty and Haptic Assistance through Psychophysiological and Performance Feedback.
Article in Frontiers in neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 26 citations in OpenAlex.
- Artificial intelligence tools for engagement prediction in neuromotor disorder patients during rehabilitation.Journal of neuroengineering and rehabilitation · 2024Article
- Regression of Multiple Conversation Aspects using Dyadic Physiological Measurements.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024Article
- Patients' physiological reactions to competitive rehabilitation therapies assisted by robotic devices.Journal of neuroengineering and rehabilitation · 2023Article
- Assessment of the Patient's Emotional Response with the RobHand Rehabilitation Platform: A Case Series Study.Journal of clinical medicine · 2022Article
- User Experience With Dynamic Difficulty Adjustment Methods for an Affective Exergame: Comparative Laboratory-Based Study.JMIR serious games · 2021Article
- The influence of psychological and cognitive states on error-related negativity evoked during post-stroke rehabilitation movements.Biomedical engineering online · 2021Article
- Automatic Estimation of Interpersonal Engagement During Naturalistic Conversation Using Dyadic Physiological Measurements.Frontiers in neuroscience · 2021Article
- Classification of Multiple Psychological Dimensions in Computer Game Players Using Physiology, Performance, and Personality Characteristics.Frontiers in neuroscience · 2019Article
- Identifying the Causes of Drivers' Hazardous States Using Driver Characteristics, Vehicle Kinematics, and Physiological Measurements.Frontiers in neuroscience · 2018Article
- Bio-Cooperative Approach for the Human-in-the-Loop Control of an End-Effector Rehabilitation Robot.Frontiers in neurorobotics · 2018Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In order to harmonize robotic devices with human beings, the robots should be able to perceive important psychosomatic impact triggered by emotional states such as frustration or boredom. This paper presents a new type of biocooperative control architecture, which acts toward improving the challenge/skill relation perceived by the user when interacting with a robotic multimodal interface in a cooperative scenario. In the first part of the paper, open-loop experiments revealed which physiological signals were optimal for inclusion in the feedback loop. These were heart rate, skin conductance level, and skin conductance response frequency. In the second part of the paper, the proposed controller, consisting of a biocooperative architecture with two degrees of freedom, simultaneously modulating game difficulty and haptic assistance through performance and psychophysiological feedback, is presented. With this setup, the perceived challenge can be modulated by means of the game difficulty and the perceived skill by means of the haptic assistance. A new metric (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.