"I See You!": A Design Framework for Interface Cues about Agent Visual Perception from a Thematic Analysis of Videogames
Matthew Rueben, Matthew Rodney Horrocks, Jennifer Eleanor Martinez, Michelle V. Cormier, Nicolas J. LaLone, Marlena R. Fraune, Z. Toups Dugas
Abstract
As artificial agents proliferate, there will be more and more situations in which they must communicate their capabilities to humans, including what they can “see.” Artificial agents have existed for decades in the form of computer-controlled agents in videogames. We analyze videogames in order to not only inspire the design of better agents, but to stop agent designers from replicating research that has already been theorized, designed, and tested in-depth. We present a qualitative thematic analysis of sight cues in videogames and develop a framework to support human-agent interaction design. The framework identifies the different locations and stimulus types – both visualizations and sonifications – available to designers and the types of information they can convey as sight cues. Insights from several other cue properties are also presented. We close with suggestions for implementing such cues with existing technologies to improve the safety, privacy, and efficiency of human-agent interactions.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get dd8fe5be-e8c2-4fa9-b049-07607b83f5d8Cited by top-tier papers2
- This Game SUX: Why & How to Design Sh@*!y User ExperiencesMichelle V. Cormier, Shano Liang, Bill Hamilton, Nicolas J. LaLone et al.CHI 2025 · 5 citations
- What We Talk About When We Talk About Frameworks in HCIShitao Fang, Koji Yatani, Kasper HornbækCHI 2026 · 4 citations
Related papers
- Press A to Jump: Design Strategies for Video Game LearnabilityLev Poretski, Anthony TangCHI 2022 · 21 citations
- Visualizing Instructions for Physical Training: Exploring Visual Cues to Support Movement Learning from Instructional VideosAlessandra Semeraro, Laia Turmo VidalCHI 2022 · 25 citations
- Decoding Driver Intention Cues: Exploring Non-verbal Communication for Human-Centered Automotive InterfacesMohammad Faramarzian, Jorge Pardo, Ilan Mandel, Andry Rakotonirainy et al.CHI 2025 · 3 citations
- Designed & Discovered Euphoria: Insights from Trans-Femme Players' Experiences of Gender Euphoria in Video GamesShano Liang, Michelle V. Cormier, Rose Bohrer, Phoebe O. Toups DugasCHI 2025 · 7 citations
- Introducing the Gamer Information-Control Framework: Enabling Access to Digital Games for People with Visual ImpairmentRonny Andrade, Melissa J. Rogerson, Jenny Waycott, Steven Baker et al.CHI 2020 · 17 citations
