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Calendar Horizon as a Boundary Affordance: An Attempt-Centric Eye-Tracking Analysis of Calendar Scheduling Interfaces

  • Nina XIE*
  • , Yuanyuan WANG
  • , Yujun LIU
  • *Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

Digital calendars are interactive representations of time that shape both scheduling outcomes and the micro-process of searching, verifying, and revising candidate placements. We examine calendar horizon—whether weekend time is visible in the default week view—as a boundary affordance in scheduling interfaces. Using eye tracking and interaction logs, we model each scheduling episode as a sequence of placement attempts and align gaze to each attempt, partitioning it into Early/Mid/Late phases and summarizing attention across structural AOIs (task panel, calendar grid, and the weekend column when present). Two experiments used drag-and-drop and dropdown slot-picking; weekend visibility was manipulated within the dropdown interface, while evening slots remained available. Across 105 participants (1018 task episodes), AttemptsCount ranged from 1 to 7. AttemptsCount predicted gaze-based process cost: each additional attempt corresponded to ~56% more total fixation duration. Personal tasks required more attempts than work tasks and elicited stronger Late-phase weekend verification when the weekend was visible. Horizon cues also shifted boundary outcomes: hiding the weekend reduced weekend placements and increased reliance on evening scheduling, indicating displacement into adjacent time regions. These findings position calendar horizon as a design lever that shapes both process (verification) and outcomes (boundary placements), with implications for calendar UIs and mixed-initiative scheduling tools.
Original languageEnglish
Article number27
JournalJournal of Eye Movement Research
Volume19
Issue number2
Early online date2 Mar 2026
DOIs
Publication statusPublished - 2 Mar 2026

Bibliographical note

The authors thank Haiting Jin for research assistance, including support with data preparation and documentation. During the preparation of this manuscript, the authors used generative artificial intelligence tools (ChatGPT, OpenAI; 5.2) for data analysis and interpretation validation. The authors have reviewed and edited all AI-assisted outputs and take full responsibility for the content of this publication.

Funding

This research was funded by the University Grants Committee (UGC), Hong Kong, Fund for Innovative Technology-in-Education (FITE), project title “Bridging in Web 3.0: Engaging Business Student in the Metaverse Office for Virtual Internship”.

Keywords

  • calendar interface design
  • eye tracking
  • visual process analytics

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