ARXIV:2605.31224 · INDUSTRIAL AI · SUBMITTED 01 JUN · 20:25 UTC · FRESHNESS STALE

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Comparing LLM-Based Conversational and Graphical Interfaces for Industrial Decision Tasks: An Exploratory Mixed-Methods Study

Roberto Figliè · Simone Caputo · Alan Serrano · Tommaso Turchi · Daniele Mazzei · arXiv

Comparing LLM-based conversational interfaces with dashboards for industrial decision tasks to understand trade-offs in interaction effort and information access.

Blocked on Code›Score5.0Evidence unverified

Opportunity summary

Pain Comparing LLM-based conversational interfaces with dashboards for industrial decision tasks to understand trade-offs in interaction effort and information access.

Evidence 0 refs | 3 sources | 50% coverage

Blocker Evidence unverified

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PROBLEM

Comparing LLM-based conversational interfaces with dashboards for industrial decision tasks to understand trade-offs in interaction effort and information access. There, large amounts of data produced by IoT devices are flowing through user interfaces and…

METHOD

The use of Generative AI Conversational User Interfaces (CUI) as a new way to access and analyze data is growing in all sectors, and the industrial one is no exception. There, large amounts of…

Full abstract

The use of Generative AI Conversational User Interfaces (CUI) as a new way to access and analyze data is growing in all sectors, and the industrial one is no exception. There, large amounts of data produced by IoT devices are flowing through user interfaces and may require them a new adaptation to the new analyses needs of decision-makers. LLM-based CUIs are promising a new way to directly interact with those data through the directness of natural language and without the learning costs that every GUI design has. Moreover, the capabilities of LLMs and their agency open up the possibility to automate some tasks and help with the reasoning during decision-making activities. But are this promises well founded? We try to scope this general question with a mixed-approach study comparing a state-of-the-art dashboard with a conversational agent. A total of 20 participants used both interfaces to complete four simulated industrial decision tasks of varying complexity. We combined measures of mental workload, completion time, and decision accuracy with a post-study questionnaire and semi-structured interviews analyzed through thematic analysis. The findings suggest that the conversational agent can reduce interactional effort by supporting more direct access to information, while the dashboard remains valuable for overview and verification. However, these benefits may vary across tasks and require validation through larger-scale studies.

RESULT

ScienceToStartup currently rates this 5.0/10 on the public viability pass. However, these benefits may vary across tasks and require validation through larger-scale studies.

WHY NOW

Industrial AI moved forward this cycle; last verified June 2026. Public score 5.0/10.

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Opportunity summary

Score5.0

PainComparing LLM-based conversational interfaces with dashboards for industrial decision tasks to understand trade-offs in interaction effort and information access.

Evidence0 refs | 3 sources | 50% coverage

Blockerno shell-level blocker reported

Analysis summary

Comparing LLM-based conversational interfaces with dashboards for industrial decision tasks to understand trade-offs in interaction effort and information access.

VerifiedSource: PDF linkedVerifiedPaperPack: citation fields availablePartialProof: unverified proof status

Competitive landscape

Comparing LLM-based conversational interfaces with dashboards for industrial decision tasks to understand trade-offs in interaction effort and information access.

Segment

Industrial AI

Adoption evidence

No public code link in the paper record yet

Commercial read

5.0/10 public viability

Direct

not classified

Adjacent

not classified

Substitute

not classified

Unknown

not classified

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Competitive landscape

Comparing LLM-based conversational interfaces with dashboards for industrial decision tasks to understand trade-offs in interaction effort and information access.

Segment

Industrial AI

Adoption evidence

No public code link in the paper record yet

Commercial read

5.0/10 public viability

Direct

not classified

Adjacent

not classified

Substitute

not classified

Unknown

not classified

Comparing LLM-Based Conversational and Graphical Interfaces for Industrial Decision Tasks: An Exploratory Mixed-Methods Study

Comparing LLM-Based Conversational and Graphical Interfaces for Industrial Decision Tasks: An Exploratory Mixed-Methods Study

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