Abstract
This research presents an intelligent approach to designing an inclusive social assistance systemy. The study employs a combination of literature analysis, in-depth interviews, and quantitative surveys to explore user needs. First, theKANOmodelwasusedtoidentifythreeattributes—essential, expected, anddelightful—whicharemappedontofivedimensionsofsocialsupport: contextual and subjective, emotional and cultural, tools, information, and evaluation support. Second, the Analytic Hierarchy Process (AHP) is used to quantify and rank these needs, thereby leading to the development of a social support system architecture informed by social support theory and generating design strategies. This study proposes a solution centered on an intelligent, context-aware, and data-driven proactive intervention system. By constructing a closed-loop framework encompassing pre-social preparation, real-time assistance during social interactions, andpost-event evaluation and reflection, itprovidesa quantifiable and replicable methodological foundation for intervention design in the field of digital mental health. Addressing thecore limitation ofcurrent social anxiety interventions—namely, users’ passive reliance on clinical treatment and lack of self-regulation ability—this research introduces an inclusive design model based on the five-dimensional Social Support Theory. By systematically integrating the demand classification capability of the KANOmodel, the quantitative decision-making mechanism of the Analytic Hierarchy Process (AHP), and the framework of the Social Support Design Model (SSDM),atransferableKANO-AHP-SSDMtriadicdesignparadigmisestablished.
Keywords
Social Anxiety Disorder(SAD); Social Support Theory; Kano Model; Analytic Hierarchy Process (AHP)
DOI
https://doi.org/10.21606/iasdr.2025.742
Citation
LU, X.,and Cao, M.(2025) Social Support-Informed Inclusive Design: Research on Assistive System Design for Individuals with Social Anxiety Disorder, in Chang, C.-Y., and Hsu, Y. (eds.), IASDR 2025: Design Next, 02-05 December, Taiwan. https://doi.org/10.21606/iasdr.2025.742
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Conference Track
Track 9 - Healthcare Design
Social Support-Informed Inclusive Design: Research on Assistive System Design for Individuals with Social Anxiety Disorder
This research presents an intelligent approach to designing an inclusive social assistance systemy. The study employs a combination of literature analysis, in-depth interviews, and quantitative surveys to explore user needs. First, theKANOmodelwasusedtoidentifythreeattributes—essential, expected, anddelightful—whicharemappedontofivedimensionsofsocialsupport: contextual and subjective, emotional and cultural, tools, information, and evaluation support. Second, the Analytic Hierarchy Process (AHP) is used to quantify and rank these needs, thereby leading to the development of a social support system architecture informed by social support theory and generating design strategies. This study proposes a solution centered on an intelligent, context-aware, and data-driven proactive intervention system. By constructing a closed-loop framework encompassing pre-social preparation, real-time assistance during social interactions, andpost-event evaluation and reflection, itprovidesa quantifiable and replicable methodological foundation for intervention design in the field of digital mental health. Addressing thecore limitation ofcurrent social anxiety interventions—namely, users’ passive reliance on clinical treatment and lack of self-regulation ability—this research introduces an inclusive design model based on the five-dimensional Social Support Theory. By systematically integrating the demand classification capability of the KANOmodel, the quantitative decision-making mechanism of the Analytic Hierarchy Process (AHP), and the framework of the Social Support Design Model (SSDM),atransferableKANO-AHP-SSDMtriadicdesignparadigmisestablished.