Making Smart Homes Fit for Autistic Children: Family Work and Monitored Independence

Tingting Xiang; Weihan Jiang; Hrishitva Patel; Haiqi Shen; Tianzhi He; Kyrie Zhou

cs.HCOct 27, 2026

Making Smart Homes Fit for Autistic Children: Family Work and Monitored Independence

Authors: Tingting Xiang, Weihan Jiang, Hrishitva Patel, Haiqi Shen, Tianzhi He, Kyrie Zhou

Organizations: Chongqing Jiaotong University, China · Independent Researcher, USA · University of Texas at San Antonio, USA · Shanghai AI Laboratory, China

Abstract

General-purpose smart-home technologies are increasingly present in family life, yet how they support or disrupt autistic children and families with autistic children remains underexamined. We conducted a multi-source qualitative study drawing on five caregiver interviews, Xiaohongshu (also known internationally as RedNote) posts explicitly situated in autism contexts, and contextual posts from Xiaohongshu and Weibo. We find that families create support for autistic children by adapting environmental outputs, prompts, and interaction channels, while sensory intensity, communicative rules, and opaque operating states can turn the same technologies into barriers. Support also depends on continuing family work, including translation, configuration, modification, maintenance, and boundary-setting. Remote monitoring enables conditional independence while generating tensions among safety, privacy, and control. We contribute three concepts, including relational fit, family work as support infrastructure, and monitored independence, for understanding accessible domestic technology. We derive design implications for adjustable interaction, legible and recoverable failure, lower-burden configuration, and negotiable monitoring.

Figures & tables

Figure 1. Graphical abstract of how general-purpose smart-home technologies become supportive for autistic children and their families. Graphical abstract summarizing the study's conceptual findings. An everyday smart-home context containing an autistic child, caregiver, and connected devices leads to a central relational-fit framework linking child characteristics, device behavior, and family arrangements. When these elements align, smart-home technologies can support regulation, participation, and communication; when they do not align, they can contribute to sensory distress, failed interactions, and difficulties understanding device states. A family-work panel shows caregivers translating, configuring, modifying, maintaining, and setting boundaries around technologies in order to create or restore fit. A monitored-independence panel shows a caregiver remotely connected to a child at home, illustrating how smart-home monitoring can enable greater separation while maintaining visibility and contact, with ongoing tensions among safety, privacy, and control. A final design-implications panel highlights adjustable interaction, recoverable failure, lower-burden configuration, and negotiable monitoring.

Figure 2. Multi-source study design and analytic synthesis. Caregiver interviews, Xiaohongshu posts, and Weibo posts were analyzed separately to produce source-specific theme sets. Interview and autism-context Xiaohongshu evidence formed the core cross-source comparison. General-family or adjacent Xiaohongshu evidence and Weibo evidence provided supplementary contextual checks. The comparison examined convergence, complementarity, differences and tensions, source-specific patterns, and counterexamples and boundaries, informing integrated findings about conditions and mechanisms. A left-to-right flow diagram. Caregiver interviews, Xiaohongshu posts, and Weibo posts each point to an Analyze separately box containing the steps segment, code, consolidate, develop, and review themes. The analysis produces separate interview, Xiaohongshu, and Weibo theme sets. Interview and Xiaohongshu theme sets point to a Compare themes box containing map relationships and trace boundaries; the Weibo theme set remains visually separate to indicate its supplementary contextual role. The comparison leads to cross-source relationships comprising convergence, complementarity, differences and tensions, source-specific patterns, and counterexamples and boundaries, followed by integrated findings about conditions and mechanisms.

ID	Caregiver role	Child age range	Main devices	Interview mode	Duration/extent
P1	Mother	8–11 ∗	Smart lighting, speaker, connected sensors, robot vacuum, smart lock, and location wearable	Voice (recorded)	43 min
P2	Mother	8–11 ∗	Smart speaker (Xiaodu) and smart water heater	Voice (recorded)	30 min
P3	Mother	8–11 ∗	Smart lighting, speaker/AI assistant, smartwatch, smart lock, and cameras	Text (synchronous)	180 min
P4	Mother	8–11 ∗	Smartwatch; smart speaker considered but not adopted; household cameras	Text (synchronous)	30 min
P5	Mother	8–11 ∗	Smart speaker, cameras, smart lock, connected washing machine, and physical controls	Text (synchronous)	30 min

Table 1. Participant and interview characteristics.

Source	Participant / material context	Included material	Evidentiary role	Key boundary
Caregiver interviews	Female caregivers of autistic children aged 8–11	5 caregivers	Core explanatory Family decisions, technology adjustments, and negotiation	Caregiver accounts; children were not directly interviewed
Rednote	Retained personal-experience posts from autism- and smart-home-related searches	76 posts	Core naturalistic When the ASD context was explicit; otherwise adjacent or general-family context	Not all posts explicitly identified an ASD context; diagnoses were not clinically verified
Weibo	Personal or family-interaction posts in general child-raising contexts	245 posts	Supplementary comparison Family interactions, maintenance, and device failures	Cannot independently support conclusions about autism

Table 2. Study materials, participant context, and evidentiary roles.

Figure 3. A conceptual model of relational fit, family work, and monitored independence in general-purpose smart homes for autistic children. A conceptual model showing how smart-home technology characteristics interact with a child's characteristics and needs to produce relational fit or misfit. Ongoing family work shapes and sustains this relationship, which influences everyday outcomes and monitored independence.

Internet of Things

The Internet of Things (IoT) connects networked sensors, devices, and systems for sensing, communication, and automated action.

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Abstract

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