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Christopher Lazik

4 papers hereh-index 321 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.HC3
  • cs.SE1
same name
  • Christopher Lazik — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedHuman learning is an understudied but promising lever for boosting human--AI synergy

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.HCShow all

3 papers · 1 filter

cs.HC2026★ 1 cited

Human learning is an understudied but promising lever for boosting human--AI synergy

Julian Berger, Jason W. Burton, Ralph Hertwig +9

Humans collaborating with artificial intelligence (AI) hold the promise of achieving superior outcomes compared to either acting alone (i.e., human--AI synergy). However, the condi…

cs.HC2025

The Impostor is Among Us: Can Large Language Models Capture the Complexity of Human Personas?

Christopher Lazik, Christopher Katins, Charlotte Kauter +4

Large Language Models (LLMs) created new opportunities for generating personas, expected to streamline and accelerate the human-centered design process. Yet, AI-generated personas…

cs.HC2025

If You Had to Pitch Your Ideal Software -- Evaluating Large Language Models to Support User Scenario Writing for User Experience Experts and Laypersons

Patrick Stadler, Christopher Lazik, Christopher Katins +1

The process of requirements analysis requires an understanding of the end users of a system. Thus, expert stakeholders, such as User Experience (UX) designers, usually create vario…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.