Saumya Pareek

schoolUniversity of Melbournebar_chart#997 Global Rank

Total Papers

HCI Rank

#997

Research Areas

Years Active

Recent Publications

Timing Matters: Designing Effective Corrections for Short-Form Video Misinformation

Short-form video platforms have become major channels for misinformation, with their rich multimodal features making false claims highly believable. HCI research shows that providing corrections in the same modality as the misinformation can be an effective solution. However, since corrections and misinformation conve…

CHI '261st AuthorHuman-LLM Collaboration +2

Sensemaking in Multi-Agent LLM Interfaces: How Users Interpret Transparency and Trustworthiness Cues

As multi-agent Large Language Models (LLMs) gain traction, designers must consider how to surface their internal reasoning in ways that foster appropriate trust. We present a design-led, qualitative, comparative structured observation study, exploring how users interpret and evaluate transparency in multi-agent LLMs.…

DIS '252nd AuthorAgent Personality & Anthropomorphism +1

The Impact of Human-Likeness and Self-Disclosure on Message Acceptance in Virtual AI Influencers

Virtual AI-generated Influencers (VAIIs) are increasingly being used by corporations and public agencies, raising questions about how their visual design and communication strategies impact end-users' propensity to accept the messages they deliver. We examined the impact of human-likeness (how close the VAII visually…

CHI '252nd AuthorPrivacy Perception & Decision-Making +1

Assessing Susceptibility Factors of Confirmation Bias in News Feed Reading

Individuals tend to apply preferences and beliefs as heuristics to effectively sift through the sheer amount of information available online. Such tendencies, however, often result in cognitive biases, which can skew judgment and open doors for manipulation. In this work, we investigate how individual and contextual f…

CHI '251st AuthorHonorable MentionExplainable AI (XAI) +2

"It’s Not the AI’s Fault Because It Relies Purely on Data": How Causal Attributions of AI Decisions Shape Trust in AI Systems

Humans naturally seek to identify causes behind outcomes through causal attribution, yet Human-AI research often overlooks how users perceive causality behind AI decisions. We examine how this perceived locus of causality—internal or external to the AI—influences trust, and how decision stakes and outcome favourabilit…

CHI '252nd AuthorContent Moderation & Platform Governance +1

The Influence of Content Modality on Perceptions of Online Misinformation

Social media has become a primary information source, with platforms evolving from text-based to multi-modal environments that include images and videos. While richer media modalities enhance user engagement, they also increase the spread and perceived credibility of misinformation. Most interventions to counter misin…

CSCW '241st AuthorSession 3e: Trust and Understanding in Explainable AI

Effect of Explanation Conceptualisations on Trust in AI-assisted Credibility Assessment

As misinformation increasingly proliferates on social media platforms, it has become crucial to explore how to best convey automated news credibility assessments to end-users, and foster trust in fact-checking AIs. In this paper, we investigate how model-agnostic, natural language explanations influence trust and reli…

CHI '243rd AuthorGenerative AI (Text, Image, Music, Video) +1

The Effects of Generative AI on Design Fixation and Divergent Thinking

Generative AI systems have been heralded as tools for augmenting human creativity and inspiring divergent thinking, though with little empirical evidence for these claims. This paper explores the effects of exposure to AI-generated images on measures of design fixation and divergent thinking in a visual ideation task.…

CHI '242nd AuthorAI-Assisted Decision-Making & Automation +2

Robot-Assisted Decision-Making: Unveiling the Role of Uncertainty Visualisation and Embodiment

Robots are embodied agents that act under several sources of uncertainty. When assisting humans in a collaborative task, robots need to communicate their uncertainty to help inform decisions. In this study, we examine the use of visualising a robot’s uncertainty in a high-stakes assisted decision-making task. In parti…

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