Objective: To compare play behaviors, interface cues, and social dynamics across three rummy contexts—traditional table play, the Aviato platform, and the OK Rummy platform—using unobtrusive observation. Rummy’s core mechanic—forming sets and runs while minimizing deadwood—was held constant, while platform-specific features were treated as environmental variables that might scaffold or reshape decision-making.

Methods: Across two weeks, I observed 60 complete games: 20 in face-to-face home circles, 20 in public Aviato lobbies, and 20 in OK Rummy clubs. No recordings were made; field notes captured session length, variant used, discard behaviors, Joker utilization, chat tone, and evidence of nudges (timers, animations, prompts). No personal data were collected, and usernames were not transcribed. Because assignment to context was not randomized, findings are descriptive rather than causal.

Results—Pace and okrummy structure: Average hand length differed notably: table play (11.8 minutes), Aviato (7.3), OK Rummy (8.1). Countdown timers and auto-sort features on both digital platforms accelerated melding and increased discard turnover. Aviato surfaced proactive prompts (for example, highlighting near-complete runs), whereas OK Rummy emphasized social continuity via persistent clubs and between-hand chat. Both platforms offered optional tutorials; table groups relied on peer instruction.

Results—Risk management and discards: Under time pressure, players in digital contexts more frequently shed high-point middle cards (9s and 10s), creating sharper discard oscillations. In table play, discards skewed toward duplicates and suit balancing, reflecting longer contemplation windows. Joker utilization was earlier and more aggressive online, especially when animations flagged "smart" placements. Notably, Aviato users displayed higher voluntary drops after poor initial draws, while OK Rummy users more often played out marginal hands, potentially seeking club points or social presence.

Results—Social signaling and norms: Table groups negotiated rules verbally and enforced etiquette informally. Aviato’s structured prompts reduced disputes but also narrowed acceptable variation. OK Rummy’s sticker and emoji layer increased positive feedback following bold melds but occasionally amplified frustration after contested draws; moderators intervened quickly in public rooms. Both platforms displayed anti-collusion warnings and randomization notices, which correlated with fewer chat accusations over time.

Experience design impacts: Auto-sort and suggestion highlights appeared to compress strategic diversity by channeling attention to canonical sequences. That said, they lowered entry friction and reduced novice errors. Countdown timers discouraged speculative hoarding; shorter cycles favored opportunistic melds over long-term set construction. Club persistence on OK Rummy fostered return play and collective memory, while Aviato’s achievement tracks reinforced individual mastery.

Limitations and implications: Observations were time-bounded, non-random, and confined to visible public spaces; private tables may differ. Nonetheless, patterns suggest that interface nudges materially shape rummy strategy and community tone. Designers should expose nudge controls, log explainability for suggestions, and provide "slow mode" options to preserve reflective play. Players seeking deeper planning may prefer table sessions or digital rooms with relaxed timers, whereas learners benefit from scaffolded prompts. Future work could pair telemetry with ethnography to quantify nudge effects on discard entropy and meld latency. As hybrid play gains traction, aligning fairness safeguards with transparent randomness and adjustable pace will sustain trust while honoring rummy’s adaptive, skill-forward heritage globally.