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| Autores principales: | , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2602.18962 |
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| _version_ | 1866912938360569856 |
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| author | Tang, Albert Mo, Yifan Li, Jie Su, Yue Zhang, Mengyuan Koole, Sander L. Hindriks, Koen Pei, Jiahuan |
| author_facet | Tang, Albert Mo, Yifan Li, Jie Su, Yue Zhang, Mengyuan Koole, Sander L. Hindriks, Koen Pei, Jiahuan |
| contents | The double empathy problem frames communication difficulties between neurodivergent and neurotypical individuals as arising from mutual misunderstanding, yet most interventions focus on autistic individuals. We present NeuroWise, a multi-agent LLM-based coaching system that supports neurotypical users through stress visualization, interpretation of internal experiences, and contextual guidance. In a between-subjects study (N=30), NeuroWise was rated as helpful by all participants and showed a significant condition-time effect on deficit-based attributions (p=0.02): NeuroWise users reduced deficit framing, while baseline users shifted toward blaming autistic "deficits" after difficult interactions. NeuroWise users also completed conversations more efficiently (37% fewer turns, p=0.03). These findings suggest that AI-based interpretation can support attributional change by helping users recognize communication challenges as mutual. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_18962 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | NeuroWise: A Multi-Agent LLM "Glass-Box" System for Practicing Double-Empathy Communication with Autistic Partners Tang, Albert Mo, Yifan Li, Jie Su, Yue Zhang, Mengyuan Koole, Sander L. Hindriks, Koen Pei, Jiahuan Human-Computer Interaction Artificial Intelligence Computers and Society Information Retrieval Multiagent Systems The double empathy problem frames communication difficulties between neurodivergent and neurotypical individuals as arising from mutual misunderstanding, yet most interventions focus on autistic individuals. We present NeuroWise, a multi-agent LLM-based coaching system that supports neurotypical users through stress visualization, interpretation of internal experiences, and contextual guidance. In a between-subjects study (N=30), NeuroWise was rated as helpful by all participants and showed a significant condition-time effect on deficit-based attributions (p=0.02): NeuroWise users reduced deficit framing, while baseline users shifted toward blaming autistic "deficits" after difficult interactions. NeuroWise users also completed conversations more efficiently (37% fewer turns, p=0.03). These findings suggest that AI-based interpretation can support attributional change by helping users recognize communication challenges as mutual. |
| title | NeuroWise: A Multi-Agent LLM "Glass-Box" System for Practicing Double-Empathy Communication with Autistic Partners |
| topic | Human-Computer Interaction Artificial Intelligence Computers and Society Information Retrieval Multiagent Systems |
| url | https://arxiv.org/abs/2602.18962 |