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Dubois-Sage M, Jacquet B, Jamet F, Baratgin J. People with Autism Spectrum Disorder Could Interact More Easily with a Robot than with a Human: Reasons and Limits. Behav Sci (Basel) 2024; 14:131. [PMID: 38392485 PMCID: PMC10886012 DOI: 10.3390/bs14020131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 02/02/2024] [Accepted: 02/04/2024] [Indexed: 02/24/2024] Open
Abstract
Individuals with Autism Spectrum Disorder show deficits in communication and social interaction, as well as repetitive behaviors and restricted interests. Interacting with robots could bring benefits to this population, notably by fostering communication and social interaction. Studies even suggest that people with Autism Spectrum Disorder could interact more easily with a robot partner rather than a human partner. We will be looking at the benefits of robots and the reasons put forward to explain these results. The interest regarding robots would mainly be due to three of their characteristics: they can act as motivational tools, and they are simplified agents whose behavior is more predictable than that of a human. Nevertheless, there are still many challenges to be met in specifying the optimum conditions for using robots with individuals with Autism Spectrum Disorder.
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Affiliation(s)
- Marion Dubois-Sage
- Laboratoire Cognitions Humaine et Artificielle, RNSR 200515259U, UFR de Psychologie, Université Paris 8, 93526 Saint-Denis, France
| | - Baptiste Jacquet
- Laboratoire Cognitions Humaine et Artificielle, RNSR 200515259U, UFR de Psychologie, Université Paris 8, 93526 Saint-Denis, France
- Association P-A-R-I-S, 75005 Paris, France
| | - Frank Jamet
- Laboratoire Cognitions Humaine et Artificielle, RNSR 200515259U, UFR de Psychologie, Université Paris 8, 93526 Saint-Denis, France
- Association P-A-R-I-S, 75005 Paris, France
- UFR d'Éducation, CY Cergy Paris Université, 95000 Cergy-Pontoise, France
| | - Jean Baratgin
- Laboratoire Cognitions Humaine et Artificielle, RNSR 200515259U, UFR de Psychologie, Université Paris 8, 93526 Saint-Denis, France
- Association P-A-R-I-S, 75005 Paris, France
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Meyer L, Rachman L, Araiza-Illan G, Gaudrain E, Başkent D. Use of a humanoid robot for auditory psychophysical testing. PLoS One 2023; 18:e0294328. [PMID: 38091272 PMCID: PMC10718414 DOI: 10.1371/journal.pone.0294328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 10/31/2023] [Indexed: 12/18/2023] Open
Abstract
Tasks in psychophysical tests can at times be repetitive and cause individuals to lose engagement during the test. To facilitate engagement, we propose the use of a humanoid NAO robot, named Sam, as an alternative interface for conducting psychophysical tests. Specifically, we aim to evaluate the performance of Sam as an auditory testing interface, given its potential limitations and technical differences, in comparison to the current laptop interface. We examine the results and durations of two voice perception tests, voice cue sensitivity and voice gender categorisation, obtained from both the conventionally used laptop interface and Sam. Both tests investigate the perception and use of two speaker-specific voice cues, fundamental frequency (F0) and vocal tract length (VTL), important for characterising voice gender. Responses are logged on the laptop using a connected mouse, and on Sam using the tactile sensors. Comparison of test results from both interfaces shows functional similarity between the interfaces and replicates findings from previous studies with similar tests. Comparison of test durations shows longer testing times with Sam, primarily due to longer processing times in comparison to the laptop, as well as other design limitations due to the implementation of the test on the robot. Despite the inherent constraints of the NAO robot, such as in sound quality, relatively long processing and testing times, and different methods of response logging, the NAO interface appears to facilitate collecting similar data to the current laptop interface, confirming its potential as an alternative psychophysical test interface for auditory perception tests.
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Affiliation(s)
- Luke Meyer
- Department of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- W.J. Kolff Institute for Biomedical Engineering and Materials Science, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Laura Rachman
- Department of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- W.J. Kolff Institute for Biomedical Engineering and Materials Science, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Gloria Araiza-Illan
- Department of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- W.J. Kolff Institute for Biomedical Engineering and Materials Science, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Etienne Gaudrain
- Lyon Neuroscience Research Center, CNRS UMR 5292, INSERM UMRS 1028, Université Claude Bernard Lyon 1, Université de Lyon, Lyon, France
| | - Deniz Başkent
- Department of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- W.J. Kolff Institute for Biomedical Engineering and Materials Science, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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Patel N, Chaudhari K, Jyotsna G, Joshi JS. Surgical Frontiers: A Comparative Review of Robotics Versus Laparoscopy in Gynecological Interventions. Cureus 2023; 15:e49752. [PMID: 38161931 PMCID: PMC10757673 DOI: 10.7759/cureus.49752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 11/30/2023] [Indexed: 01/03/2024] Open
Abstract
This review comprehensively examines the current state and future directions of gynecological surgery, focusing on the comparative analysis of laparoscopy and robotic surgery. The overview highlights the evolution of these surgical techniques, emphasizing their impact on patient outcomes, procedural efficiency, and safety profiles. The analysis encompasses critical factors such as cost-effectiveness, learning curves, and implications for postoperative recovery. The future of gynecological surgery is envisioned through emerging technologies, including augmented reality, single-incision laparoscopy, and artificial intelligence. The coexistence of laparoscopy and robotics is explored, acknowledging their respective strengths and roles in shaping women's healthcare. In conclusion, the dynamic nature of the field is underscored, emphasizing the need for a patient-centered and adaptable approach. Collaboration between healthcare professionals, engineers, and researchers is pivotal in unlocking these innovations' full potential, ensuring continued advancements in gynecological surgery for improved outcomes and enhanced patient care.
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Affiliation(s)
- Nainita Patel
- Obstetrics and Gynaecology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - Kamlesh Chaudhari
- Obstetrics and Gynaecology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - Garapati Jyotsna
- Obstetrics and Gynaecology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - Jalormy S Joshi
- Obstetrics and Gynaecology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
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Ma W, Mao J, Xie Y, Li S, Wang M. Examining the Effects of Theory of Mind and Social Skills Training on Social Competence in Adolescents with Autism. Behav Sci (Basel) 2023; 13:860. [PMID: 37887510 PMCID: PMC10603965 DOI: 10.3390/bs13100860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 10/14/2023] [Accepted: 10/17/2023] [Indexed: 10/28/2023] Open
Abstract
Individuals with autism spectrum disorders (ASD) have impairment in interpreting emotional communication and the mental states of others, which limits their social competence. Mounting evidence has suggested that theory of mind (ToM) is a vital strategy to enhance social communication and interaction skills of children with ASD. However, very little research has looked at how ToM and social skills training affect social competence in adolescents with autism. This study examined the effectiveness of an intervention program, ToM-SS, which integrated the ToM and social skills training to improve the social competence of three adolescents with autism. A multiple baseline across behaviors design was adopted to evaluate the participants' learning outcomes and demonstrated a functional relationship between intervention and skill mastery. Results show that the intervention produced substantial improvements in students' acquisition of ToM (e.g., seeing leads to knowing and identifying desire-based and context-based emotions) and targeted social skills (e.g., praising others, expressing emotion and seeking help). Feedback and comments from teachers and parents also indicate good social validity of the intervention program.
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Affiliation(s)
- Weina Ma
- Jing Hengyi School of Education, Hangzhou Normal University, Hangzhou 311121, China;
- Zhejiang Philosophy and Social Science Laboratory for Research in Early Development and Childcare, Hangzhou Normal University, Hangzhou 311121, China
| | - Jieyu Mao
- Yang Ling Zi School, Hangzhou 311121, China
| | - Yu Xie
- Jing Hengyi School of Education, Hangzhou Normal University, Hangzhou 311121, China;
- Zhejiang Philosophy and Social Science Laboratory for Research in Early Development and Childcare, Hangzhou Normal University, Hangzhou 311121, China
| | - Simeng Li
- Gevirtz Graduate School of Education, University of California, Santa Barbara, CA 93106, USA
| | - Mian Wang
- Gevirtz Graduate School of Education, University of California, Santa Barbara, CA 93106, USA
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Wu X, Deng H, Jian S, Chen H, Li Q, Gong R, Wu J. Global trends and hotspots in the digital therapeutics of autism spectrum disorders: a bibliometric analysis from 2002 to 2022. Front Psychiatry 2023; 14:1126404. [PMID: 37255688 PMCID: PMC10225518 DOI: 10.3389/fpsyt.2023.1126404] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Accepted: 04/26/2023] [Indexed: 06/01/2023] Open
Abstract
Introduction Autism spectrum disorder (ASD) is a severe neurodevelopmental disorder that has become a major cause of disability in children. Digital therapeutics (DTx) delivers evidence-based therapeutic interventions to patients that are driven by software to prevent, manage, or treat a medical disorder or disease. This study objectively analyzed the current research status of global DTx in ASD from 2002 to 2022, aiming to explore the current global research status and trends in the field. Methods The Web of Science database was searched for articles about DTx in ASD from January 2002 to October 2022. CiteSpace was used to analyze the co-occurrence of keywords in literature, partnerships between authors, institutions, and countries, the sudden occurrence of keywords, clustering of keywords over time, and analysis of references, cited authors, and cited journals. Results A total of 509 articles were included. The most productive country and institution were the United States and Vanderbilt University. The largest contributing authors were Warren, Zachary, and Sarkar, Nilanjan. The most-cited journal was the Journal of Autism and Developmental Disorders. The most-cited and co-cited articles were Brian Scarselati (Robots for Use in Autism Research, 2012) and Ralph Adolphs (Abnormal processing of social information from faces in autism, 2001). "Artificial Intelligence," "machine learning," "Virtual Reality," and "eye tracking" were common new and cutting-edge trends in research on DTx in ASD. Discussion The use of DTx in ASD is developing rapidly and gaining the attention of researchers worldwide. The publications in this field have increased year by year, mainly concentrated in the developed countries, especially in the United States. Both Vanderbilt University and Yale University are very important institutions in the field. The researcher from Vanderbilt University, Warren and Zachary, his dynamics or achievements in the field is also more worth our attention. The application of new technologies such as virtual reality, machine learning, and eye-tracking in this field has driven the development of DTx on ASD and is currently a popular research topic. More cross-regional and cross-disciplinary collaborations are recommended to advance the development and availability of DTx.
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Affiliation(s)
- Xuesen Wu
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
| | - Haiyin Deng
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
| | - Shiyun Jian
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
| | - Huian Chen
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
| | - Qing Li
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
| | - Ruiyu Gong
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
| | - Jingsong Wu
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
- Innovation and Transformation Center, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
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Soleiman P, Moradi H, Mehralizadeh B, Ameri H, Arriaga RI, Pouretemad HR, Baghbanzadeh N, Vahid LK. Fully robotic social environment for teaching and practicing affective interaction: Case of teaching emotion recognition skills to children with autism spectrum disorder, a pilot study. Front Robot AI 2023; 10:1088582. [PMID: 37207048 PMCID: PMC10190599 DOI: 10.3389/frobt.2023.1088582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 04/03/2023] [Indexed: 05/21/2023] Open
Abstract
21st century brought along a considerable decrease in social interactions, due to the newly emerged lifestyle around the world, which became more noticeable recently of the COVID-19 pandemic. On the other hand, children with autism spectrum disorder have further complications regarding their social interactions with other humans. In this paper, a fully Robotic Social Environment (RSE), designed to simulate the needed social environment for children, especially those with autism is described. An RSE can be used to simulate many social situations, such as affective interpersonal interactions, in which observational learning can take place. In order to investigate the effectiveness of the proposed RSE, it has been tested on a group of children with autism, who had difficulties in emotion recognition, which in turn, can influence social interaction. An A-B-A single case study was designed to show how RSE can help children with autism recognize four basic facial expressions, i.e., happiness, sadness, anger, and fear, through observing the social interactions of two robots speaking about these facial expressions. The results showed that the emotion recognition skills of the participating children were improved. Furthermore, the results showed that the children could maintain and generalize their emotion recognition skills after the intervention period. In conclusion, the study shows that the proposed RSE, along with other rehabilitation methods, can be effective in improving the emotion recognition skills of children with autism and preparing them to enter human social environments.
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Affiliation(s)
| | - Hadi Moradi
- School of ECE, University of Tehran, Tehran, Iran
- Intelligent Systems Research Institute, Sungkyunkwan University, Suwon, Republic of Korea
- *Correspondence: Hadi Moradi,
| | | | - Hamed Ameri
- Department of Psychology, University of Tehran, Tehran, Iran
| | - Rosa I. Arriaga
- School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, United States
| | | | | | - Leila Kashani Vahid
- Department of Psychology, Islamic Azad University Science and Research Branch, Tehran, Iran
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