Consumers on live-streaming platforms frequently purchase products they had not intended to buy. One potential explanation is the continuous flow of viewer comments displayed on the screen. However, how the volume of such comments influences consumers' propensity for impulsive purchasing remains poorly understood, leaving platforms without an evidence-based basis for managing comment volume. To address this, this study ran a controlled experiment in which 120 college students browsed the same mobile shopping prototype under dense, sparse, or no comments. Results showed a clear stepwise increase: Impulse buying tendency rose from 4.18 to 4.72 to 5.31, purchase intention from 58.9 to 66.3 to 74.6, and buy-button clicks from 40.0% to 57.5% to 72.5%. Mediation analysis confirmed the effect operated through social presence and conformity, accounting for about half of the total effect, whereas cognitive load, though elevated, did not suppress buying. These findings give platforms a concrete basis for regulating comment density to curb impulsive spending.
Contemporary college students face immense pressures, precipitating a silent epidemic of severe anxiety. Concurrently, these young adults frequently develop chaotic and fragmented daily smartphone routines that deplete their cognitive resources. This study addresses the critical question of whether such disordered digital habits prospectively predict anxiety or merely reflect it. The authors analyzed 10 weeks of passive smartphone sensing data and psychological assessment records from the publicly available StudentLife dataset, comprising 48 college students. The longitudinal behavioral rhythms revealed that disrupted screen habits temporally preceded mood deterioration. Specifically, elevated nighttime phone unlocking and irregular daytime usage patterns, accounting for up to 42.5% of individual variance, significantly predict increased anxiety during the subsequent week with an amplified predictive coefficient of 0.36. This shows that chaotic digital routines serve as significant temporal precursors to anxiety, providing an objective foundation for early intervention systems.
Business leaders increasingly rely on mobile devices to examine environmental, social, and governance data when making urgent investment decisions. However, dense sustainability metrics on small screens often overwhelm decision-makers, impairing rapid and confident judgment. This study investigates how touchscreen interaction gestures shape investment intuition. The authors conducted a randomized controlled experiment with 120 experienced executives browsing a mobile dashboard. By isolating gesture continuity as the sole manipulated variable within an otherwise identical interface, they identify a specific interaction-design mechanism that shapes professional cognition. Continuous swiping significantly boosted cognitive fluency and enhanced investment confidence compared with discrete clicking, reducing average reaction time from 51.76 seconds to 45.28 seconds and raising confidence ratings from 69.12 to 78.45 points, without increasing judgment errors.
When learning a second language, individuals often struggle to understand culturally nuanced phrases, leading to significant communication breakdowns in everyday conversations. Existing mobile educational tools focus almost exclusively on surface pronunciation, leaving users helpless when interpreting cultural metaphors literally. To address this practical challenge, the authors developed a mobile application driven by artificial intelligence that delivers real-time multimodal feedback during interactive voice learning. A randomized controlled trial involving 120 language learners evaluated this innovative intervention. The proposed system diagnosed metaphoric misinterpretations with 91.83% accuracy. Thus, the experimental group recorded a significantly higher delayed retention score of 86.1, while the control group scored 64.3. This interactive approach helps reduce cognitive load while bridging deep cultural divides in mobile language education.
Digital art is primarily consumed through two-dimensional screens, engaging only vision and hearing. This unimodal sensory stimulation not only induces perceptual fatigue but also eliminates the tangible, textured qualities of physical art, leaving viewers emotionally detached. To address this sensory overload and lack of embodied connection, the authors present a wearable tactile feedback framework that captures dynamic color, motion, and sound from digital artworks and translates them into synchronized vibrotactile patterns on the skin. In a controlled experiment with sixty participants, this synchronized tactile stimulation significantly distributed the cognitive processing load. Compared with the visual-only condition, the wearable haptic system reduced perceived mental demand by 27.5% and user frustration by 30.9%, while increasing aesthetic immersion by 42.5%. The framework also achieved a low end-to-end system latency of 7.2 ms, enabling responsive, real-time multisensory interaction with digital artworks.
