Social media content filtering algorithms can both provide desired personalized content and ads for users. However, sometimes these recommendations can resemble individual private information. How might users navigate these experiences to best manage …
This study explores the influence of vicarious mediated intergroup contact on individuals’ perceptions of in-group and out-group members, with a focus on observing interactions between domestic and international students. In particular, the research …
The widespread use of Voice-Based Assistants (VBAs) in various applications has introduced a new dimension to human-machine communication. This study explores how users assess VBAs exhibiting either excessive or insufficient communication …
Social robots have the potential to significantly impact human behavior in social settings, presenting both opportunities and challenges. This chapter explores the multifaceted influences of social robots’ cues, behavioral capacities, and affordances …
This paper delves into what the application of authenticity to Human-Machine Communication (HMC) can teach us about authenticity and us as HMC researchers and as a community. Inspired by the 2023 pre-conference “HMC — Authenticity in communicating …
With an experimental design, this study examined the effect of source cues (Human vs. AI) on hostile media bias through heuristic machine evaluation of machine and human social media profiles. This study also explored the effects of affective and …
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This study examines how players describe their rationale behind decisions made during gameplay of Detroit Become Human and how responses may coincide with character attachment (CA). Semi-structured interviews were conducted to examine the presence of …