Research

This page is under development (to be updated on 04/26/25).

Publications   /   Works in Progress   /   Google Scholar Profile

Publications

All papers should be publicly accessible but are also available upon request.

Augmenting self-presentation: Augmented reality (AR) filters use among young adults
Pitch Sinlapanuntakul, Mark Zachry
HCII 2024. [Preprint]
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Validation of the GUESS-18 for video game players with disabilities
Carmen Van Ommen, Pitch Sinlapanuntakul, Joseph R. Keebler, Barbara S. Chaparro
HFES 2023. [Link]
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Exploring the user experience (UX) of a multi-window augmented reality environment
Pitch Sinlapanuntakul, Jenna Korentsides, Barbara S. Chaparro
Frontiers in VR 2023. [Link]
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Exploring team competencies in cybersecurity
Pitch Sinlapanuntakul, Crystal M. Fausett, Joseph R. Keebler
HFES 2022. [Link]
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The effects of background noise on user experience and performance of mixed reality voice dictation
Pitch Sinlapanuntakul, Katlyn S. Skilton, Jose N. Mathew, Barbara S. Chaparro
HFES 2022. [Link]
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Understanding the effects of mixed reality on video game satisfaction, enjoyment, and performance
Weerachet “Pitch” Sinlapanuntakul, Jessyca L. Derby, Barbara S. Chaparro
Simulation & Gaming 2022. [Link]
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Primacy and recency effects on position error in short-term memory recall
Weerachet Sinlapanuntakul, Kelly Harris, Brittany S. Wesley
Beyond: Undergraduate Research Journal 2021. [Link]
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Works in progress / in submission

How designers envision value-oriented AI design concepts with generative AI
with Aayushi Dangol, Xiaoyi Xue, Srushti Sardeshmukh, Mark Zachry
Envisioning new product concepts requires balancing creativity, functionality, user needs, and human values. The integration of AI adds complexity, positioning it both as a tool and design material. We engaged 18 design practitioners in a design challenge (i.e., sketching AI solutions while using AI) and semi-structured interviews. We identify and discuss key challenges designers face in navigating AI’s dual role as both a medium and a material when envisioning AI concepts toward human values at the early stages of design.

Toward design guidelines for early companion-like interactions with AI chatbots
with Soobin Cho, Anna Lindner, Joseph S. Schafer, Julie A. Vera, Mark Zachry
As LLMs enable increasingly companion-like AI interactions, there is a growing need to understand how to design for emotionally resonant, casual encounters. We conducted a 10-day collaborative autoethnography interacting with AI companions, translated our experiences into initial guidelines, and refined them through a systematic heuristic evaluation with evaluators. This process resulted in 18 design guidelines that address key aspects of early user-AI interaction, including persona, syntax, interaction style, expression content, feedback, and safety.

AI companions and a new user-system relationship: User interaction patterns with Replika
with Soobin Cho, Mark Zachry, Adrienne Russell
Advancements in LLMs have driven the growth and development of AI companions that offer emotional support and companionship, distinct from traditional assistive AI systems. To explore these emerging user-system relationships, we conducted an online observation of 68 posts and 1,967 comments from Reddit’s Replika subreddit. Our analysis reveals five key relational characteristics, offering insights into how AI companions may represent a new, hybrid form of user-AI interaction in digital companionship.