Follow the Successful Herd: Towards Explanations for Improved Use and Mental Models of Natural Language Systems

Brachman, Michelle; Qian, Pan; Jin, Hyo; Dugan, Casey; Chaudhary, Arunima; Johnson, James M.; Rai, Priyanshu; Chakraborti, Tathagata; Gschwind, Thomas; Laredo, Jim; Miksovic, Christoph; Scotton, Paolo; Talamadupula, Kartik; Thomas, Gegi

doi:10.1145/3581641.3584088

Cited by 4 publications

(1 citation statement)

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“…After reviewing and discussing the literature, primary categories were identified (see Appendix Table 3). For each category, we adapted the "5W1H" guideline 5 , and ultimately, we found that only four out of the five dimensions are necessary:…”

Section: Stagementioning

confidence: 99%

A Taxonomy for Human-LLM Interaction Modes: An Initial Exploration

Gao,

Gebreegziabher,

Choo

et al. 2024

Extended Abstracts of the CHI Conference on Human Factors in Computing Systems

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With ChatGPT's release, conversational prompting has become the most popular form of human-LLM interaction. However, its effectiveness is limited for more complex tasks involving reasoning, creativity, and iteration. Through a systematic analysis of HCI papers published since 2021, we identified four key phases in the human-LLM interaction flow-planning, facilitating, iterating, and testing-to precisely understand the dynamics of this process. Additionally, we have developed a taxonomy of four primary interaction modes: Mode 1: Standard Prompting, Mode 2: User Interface, Mode 3: Context-based, and Mode 4: Agent Facilitator. This taxonomy was further enriched using the "5W1H" guideline method, which involved a detailed examination of definitions, participant roles (Who), the phases that happened (When), human objectives and LLM abilities (What), and the mechanics of each interaction mode (How). We anticipate this taxonomy will contribute to the future design and evaluation of human-LLM interaction. CCS CONCEPTS• Human-centered computing → Natural language interfaces.

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Section: Stagementioning

confidence: 99%