EventsThe 1st International Online Conference on Technologies
Published
This submission belongs to the session S2. Assistive Technologies of the event The 1st International Online Conference on Technologies
Published date
06 Nov, 2026
Academic Editor
author-avatarHaipeng Liu
Citation
Nick Vasiljevic, An Assistive Attention-Support Apparatus for Self-Regulation: Survey Evidence for Calm-Technology Design Against In-Class Smartphone Distraction, in Proceedings of The 1st International Online Conference on Technologies, 11 November–13 November 2026, MDPI: Basel, Switzerland
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An Assistive Attention-Support Apparatus for Self-Regulation: Survey Evidence for Calm-Technology Design Against In-Class Smartphone Distraction

Nick Vasiljevic 1
1. English Taught Program in International Business, Shih Chien University, Taipei, Taiwan
Abstract

Smartphone distraction in learning environments disproportionately affects students with weaker self-regulation, yet most technological responses are restrictive — blocking, locking, or monitoring device use — an approach poorly suited to assistive aims. This study proposes an assistive alternative grounded in both a granted hardware invention and large-scale survey evidence. The Attention Support Apparatus (ASA), based on a recently granted Taiwan patent for a concentration-enhancement device (2025; the paper's first author is a non-commercial co-inventor), is a standalone peripheral that pairs a focus/rest prompt interface with an ambient alert signaling the user's concentration state both to the user and to others sharing the space. By residing outside the smartphone, it avoids the competing notifications that undermine on-screen focus aids.

Analyzing survey data from 1,390 university students covering motivation, phone-addiction tendency, self-control, and perceived cognitive interference, we find boredom-driven phone use (M = 3.22/5) is the strongest motivational trigger and significantly exceeds compulsive-use tendency (M = 2.72/5; t = 18.1, p < .001), while cognitive interference is broadly acknowledged (M = 3.45/5). In-class distraction is therefore driven more by disengagement than by compulsion. Cluster analysis across self-regulation capacity, motivational triggers, and social-context dependence yields three user profiles — disengaged-but-self-aware (40%), socially-tethered with lower self-control (38%), and self-directed low-distraction (22%). These profiles motivate a differentiated calm-technology framework emphasizing periphery-to-center transitions, low-interruption signaling, and management of social-context interference.

Keywords
assistive technology
attention support
self-regulation
calm technology
smartphone distraction
ambient interface
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