At times, the interfaces of videogames -- gameworlds -- contain tiny details that go unnoticed. One such detail is how designers employ ! and ? to communicate to players. These punctuation marks have existed in videogames since their creation, yet remain undiscussed by designers. They are used as ways to promote curiosity, as objects, as ways to symbolize excitement, and as a prompt to react. Their varied history is deserving of attention, so we present a chronicle of two pieces of gameworld punctuation: ! and ?. We discuss current and past uses and identify more ways that these could be used in the future. These symbols may present a useful space of inquiry not only for games and games research, but more generally, in terms of the rapid communication of complex information. 

A Quest?!: The Secret Life of Gameworld Punctuation

The fast-growing complexity of decentralized infrastructures outpaces end-users from acquiring the required knowledge to operate them. A possible remedy for this ever-aggravating problem might be the integration of natural-language-driven interfaces that allow end-users to interact with those systems. This work focuses on a Distributed Analytics (DA) use case, which includes the challenge above. We propose a DA-tailored and module-based monitoring and transaction bot called HAICO, which assists users in keeping track of their activities. Our user study (n=50) shows that our approach indeed contributes to increased transparency and accessibility of digital assets in these ecosystems. The results show that integrating automated agents can lower the barriers for non-technology-versed users to foster efficiency and adoption time.

HAICO: A Monitoring and Transaction Chatbot for Distributed Analytics Workflows

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.

“I See You!”: A Design Framework for Interface Cues about Agent Visual Perception from a Thematic Analysis of Videogames

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“I See You!”: A Design Framework for Interface Cues about Agent Visual Perception from a Thematic Analysis of Videogames