ARXIV:2603.02050 · AGENTS · SUBMITTED 02 APR · 02:30 UTC · FRESHNESS STALE

VerifiedSource: PDF linkedPartialPaperPack: 3 of 4 citation fields filledMissingMissing fields: authorsPartialProof: unverified proof status

"When to Hand Off, When to Work Together": Expanding Human-Agent Co-Creative Collaboration through Concurrent Interaction

arXiv

A co-creative AI tool, CLEO, interprets collaborative intent and adapts in real-time within human-agent design processes.

Blocked on Code›Score5.0Evidence unverified

Opportunity summary

Pain A co-creative AI tool, CLEO, interprets collaborative intent and adapts in real-time within human-agent design processes.

Evidence 0 refs | 0 sources | 17% coverage

Blocker Evidence unverified

Open Build Read PDF Signal Canvas Track

PROBLEM

A co-creative AI tool, CLEO, interprets collaborative intent and adapts in real-time within human-agent design processes. Building on mixed-initiative interaction principles, we explore whether agents can achieve collaborative context awareness -- interpreting concurrent user…

METHOD

Full abstract

Human collaborators coordinate dynamically through process visibility and workspace awareness, yet AI agents typically either provide only final outputs or expose read-only execution processes (e.g., planning, reasoning) without interpreting concurrent user actions on shared artifacts. Building on mixed-initiative interaction principles, we explore whether agents can achieve collaborative context awareness -- interpreting concurrent user actions on shared artifacts and adapting in real-time. Study 1 (N=10 professional designers) revealed that process visibility enabled reasoning about agent actions but exposed conflicts when agents could not distinguish feedback from independent work. We developed CLEO, which interprets collaborative intent and adapts in real-time. Study 2 (N=10, two-day with stimulated recall interviews) analyzed 214 turns, identifying five action patterns, six triggers, and four enabling factors explaining when designers choose delegation (70.1%), direction (28.5%), or concurrent work (31.8%). We present a decision model with six interaction loops, design implications, and an annotated dataset.

RESULT

ScienceToStartup currently rates this 5.0/10 on the public viability pass. Building on mixed-initiative interaction principles, we explore whether agents can achieve collaborative context awareness -- interpreting concurrent user actions on shared artifacts and adapting…

WHY NOW

Agents moved forward this cycle; last verified April 2026. Public score 5.0/10.

Continue into Read for claims, analysis, references, and neighboring papers.

Opportunity summary

Score5.0

PainA co-creative AI tool, CLEO, interprets collaborative intent and adapts in real-time within human-agent design processes.

Evidence0 refs | 0 sources | 17% coverage

Blockermissing authors

Analysis summary

A co-creative AI tool, CLEO, interprets collaborative intent and adapts in real-time within human-agent design processes.

VerifiedSource: PDF linkedPartialPaperPack: 3 of 4 citation fields filledMissingMissing fields: authorsPartialProof: unverified proof status

ARXIV:2603.02050 · AGENTS · SUBMITTED 02 APR · 02:30 UTC · FRESHNESS STALE

VerifiedSource: PDF linkedPartialPaperPack: 3 of 4 citation fields filledMissingMissing fields: authorsPartialProof: unverified proof status

"When to Hand Off, When to Work Together": Expanding Human-Agent Co-Creative Collaboration through Concurrent Interaction

arXiv

A co-creative AI tool, CLEO, interprets collaborative intent and adapts in real-time within human-agent design processes.

Blocked on Code›Score5.0Evidence unverified

Opportunity summary

Pain A co-creative AI tool, CLEO, interprets collaborative intent and adapts in real-time within human-agent design processes.

Evidence 0 refs | 0 sources | 17% coverage

Blocker Evidence unverified

Open Build Read PDF Signal Canvas Track

PROBLEM

METHOD

Full abstract

RESULT

WHY NOW

Agents moved forward this cycle; last verified April 2026. Public score 5.0/10.

Continue into Read for claims, analysis, references, and neighboring papers.

Opportunity summary

Score5.0

PainA co-creative AI tool, CLEO, interprets collaborative intent and adapts in real-time within human-agent design processes.

Evidence0 refs | 0 sources | 17% coverage

Blockermissing authors

Analysis summary

A co-creative AI tool, CLEO, interprets collaborative intent and adapts in real-time within human-agent design processes.

VerifiedSource: PDF linkedPartialPaperPack: 3 of 4 citation fields filledMissingMissing fields: authorsPartialProof: unverified proof status

Paper Pack

10.48550/arXiv.2603.02050

"When to Hand Off, When to Work Together": Expanding Human-Agent Co-Creative Collaboration through Concurrent Interaction

A co-creative AI tool, CLEO, interprets collaborative intent and adapts in real-time within human-agent design processes.

Abstract

Source availability

PDF linked

The paper record includes a public PDF URL.

Extraction status

Derived fallback

Read summaries are estimated from adjacent metadata, not verified extraction rows.

Proof status

unverified

0 refs; 0 sources; 17% coverage.

What was readable

linkedon filenot materializedderived fallback35 indexednot indexed

Derived fallback: Estimated from adjacent evidence; not verified from source.

Viability

5.0

Time to MVP

MVP estimate missing

Commercial

No commercial flags on file

Export

Preparing verified analysis

lens / founder

PROBLEM

METHOD

RESULT

WHY NOW

Agents moved forward this cycle; last verified April 2026. Public score 5.0/10.

Claim map

Abstract-backed public claims while anchored extraction refreshes.

Strong 0Mixed 0Weak 4

Evidencepartial
A co-creative AI tool, CLEO, interprets collaborative intent and adapts in real-time within human-agent design processes. Building on mixed-initiative interaction principles, we explore whether agents can achieve collaborative context awareness -- interpreting concurrent user actions on shared artifacts and adapting in real-time.
Implicationpartial
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
Verificationpartial
partial
Evidencepartial
Human collaborators coordinate dynamically through process visibility and workspace awareness, yet AI agents typically either provide only final outputs or expose read-only execution processes (e.g., planning, reasoning) without interpreting concurrent user actions on shared artifacts. Building on mixed-initiative interaction principles, we explore whether agents can achieve collaborative context awareness -- interpreting concurrent user actions on shared artifacts and adapting in real-time.
Implicationpartial
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
Verificationpartial
partial
Evidencepartial
ScienceToStartup currently rates this 5.0/10 on the public viability pass. Building on mixed-initiative interaction principles, we explore whether agents can achieve collaborative context awareness -- interpreting concurrent user actions on shared artifacts and adapting in real-time.
Implicationpartial
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
Verificationpartial
partial
Evidencepartial
Agents moved forward this cycle; last verified April 2026. Public score 5.0/10.
Implicationpartial
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
Verificationpartial
partial

Constellation map

Paper-native neighborhood for concepts, methods, materials, markets, and competitors. Missing lanes stay labeled instead of disappearing behind commercialization gates.

Open full Signal Canvas

Concepts

not indexed

Methods

Materials

PDF linked

Markets

Agents

Competitors

not indexed

Competitive landscape

A co-creative AI tool, CLEO, interprets collaborative intent and adapts in real-time within human-agent design processes.

Segment

Agents

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

Buzz

No indexed public discussion is attached to 2603.02050 yet. That is a visibility signal, not a blank module: the monitor is watching the public channels below.

Hacker News

Not indexed yet

Bluesky

Not indexed yet

PDF

Preview the source document here, or use the hero PDF action for a new tab.

References(35)

DiscoverLLM: From Executing Intents to Discovering Them

2026Tae Soo Kim, Yoonjoo Lee et al.

DesignManager: An Agent-Powered Copilot for Designers to Integrate AI Design Tools into Creative Workflows

2025W. You, Yinyu Lu et al.

FlowForge: Guiding the Creation of Multi-Agent Workflows with Design Space Visualization as a Thinking Scaffold

2025Pan Hao, Dongyeop Kang et al.

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI

2025Ranjan Sapkota, Konstantinos I. Roumeliotis et al.

Talk to the Hand: an LLM-powered Chatbot with Visual Pointer as Proactive Companion for On-Screen Tasks

2025Thanawit Prasongpongchai, Pat Pataranutaporn et al.

Do It For Me vs. Do It With Me: Investigating User Perceptions of Different Paradigms of Automation in Copilots for Feature-Rich Software

2025Anjali Khurana, Xiaotian Su et al.

A simplest systematics for the organization of turn-taking for conversation

2025Harvey Sacks, E. Schegloff et al.

Assistance or Disruption? Exploring and Evaluating the Design and Trade-offs of Proactive AI Programming Support

2025Kevin Pu, Daniel Lazaro et al.

Cocoa: Co-Planning and Co-Execution with AI Agents

2024K. Feng, Kevin Pu et al.

Data Interpreter: An LLM Agent For Data Science

2024Sirui Hong, Yizhang Lin et al.

Understanding Nonlinear Collaboration between Human and AI Agents: A Co-design Framework for Creative Design

2024Jiayi Zhou, Renzhong Li et al.

SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

2023Carlos E. Jimenez, John Yang et al.

Mind2Web: Towards a Generalist Agent for the Web

2023Xiang Deng, Yu Gu et al.

Drawing with Reframer: Emergence and Control in Co-Creative AI

2023Tomas Lawton, F. Ibarrola et al.

ReAct: Synergizing Reasoning and Acting in Language Models

2022Shunyu Yao, Jeffrey Zhao et al.

Designing Human-Agent Collaborations: Commitment, responsiveness, and support

2022Nazli Cila

It's Good to Talk: A Comparison of Using Voice Versus Screen-Based Interactions for Agent-Assisted Tasks

2022Leon Reicherts, Y. Rogers et al.

Creative sketching partner: an analysis of human-AI co-creativity

2020Pegah Karimi, Jeba Rezwana et al.

Human-robot shared workspace collaboration via hindsight optimization

2016Stefania Pellegrinelli, H. Admoni et al.

Stimulated Recall Interviews in Ethnography

2010Nicholas P. Dempsey

Showing 20 of 35 references

CITED BY

No citing papers are indexed in the public S2S graph yet. This is an explicit zero-signal state, not a hidden lookup.

Foundation

none indexed

Extension

Builds On ThisMixed-Initiative Context: Structuring and Managing Context for Human-AI Collaboration

3.0

Builds On ThisChannelling, Coordinating, Collaborating: A Three-Layer Framework for Disability-Centered Human-Agent Collaboration

3.0

Builds On ThisFrom Prompts to Context: An Ontology-Driven Framework for Human-Generative AI Collaboration

3.0

Builds On ThisAI, Take the Wheel: What Drives Delegation and Trust in Human-Computer Cooperative Question Answering?

2.0

Builds On ThisThe Collaboration Gap in Human-AI Work

3.0

Commercially relevant

Higher ViabilityEffective Strategies for Asynchronous Software Engineering Agents

7.0

Higher ViabilityCoWork-X: Experience-Optimized Co-Evolution for Multi-Agent Collaboration System

6.0

Higher ViabilityAgentCo-op: Retrieval-Based Synthesis of Interoperable Multi-Agent Workflows

7.0

Conflicting

Competing ApproachWhen Should an AI Act? A Human-Centered Model of Scene, Context, and Behavior for Agentic AI Design

3.0

Competing ApproachChoose Your Agent: Tradeoffs in Adopting AI Advisors, Coaches, and Delegates in Multi-Party Negotiation

4.0

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Agents – Use Cases(use_case)
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Owned Distribution

Subscribe to the weekly brief

Get the weekly shortlist of commercializable papers, benchmark movers, and proof receipts that matter for product execution.

Agent drawer

5 surfaces preserved for agents. Humans can ignore.

Developer contracts, payload previews, evidence maps, and run controls stay here instead of the Read, Build, and Track workspace.

Run context

Paper: 2603.02050
Route: /paper/when-to-hand-off-when-to-work-together-expanding-human-agent-co-creative-collaboration-through-concurrent-interaction
Active tab: read
Artifact: when-to-hand-off-when-to-work-together-expanding-human-agent-co-creative-collaboration-through-concurrent-interaction

Available agents

Read extractor
Build planner
Track monitor
Competitive mapper
Related-paper scout

API/MCP endpoints

REST paper pack API/api/v1/paper/when-to-hand-off-when-to-work-together-expanding-human-agent-co-creative-collaboration-through-concurrent-interaction/paper-pack
REST build passport API/api/v1/paper/when-to-hand-off-when-to-work-together-expanding-human-agent-co-creative-collaboration-through-concurrent-interaction/build-passport
REST OpenAPI/api/openapi.json
MCP descriptor/api/mcp
MCP resourcesciencetostartup://surfaces/paper-workspace

Tool contracts

paper_packbuild_passportopportunity_kernelforesightsource_proofevidence_state

Payload preview

Inspect payload

{
  "contract_version": "paper-r2",
  "paper_id": "f8766cff-2663-4b1d-b9b9-debb07a264f3",
  "arxiv_id": "2603.02050",
  "canonical_route": "/paper/when-to-hand-off-when-to-work-together-expanding-human-agent-co-creative-collaboration-through-concurrent-interaction",
  "active_tab": "synced from current hash by the drawer client",
  "selected_artifact": "when-to-hand-off-when-to-work-together-expanding-human-agent-co-creative-collaboration-through-concurrent-interaction",
  "endpoints": {
    "paper_pack": "/api/v1/paper/when-to-hand-off-when-to-work-together-expanding-human-agent-co-creative-collaboration-through-concurrent-interaction/paper-pack",
    "build_passport": "/api/v1/paper/when-to-hand-off-when-to-work-together-expanding-human-agent-co-creative-collaboration-through-concurrent-interaction/build-passport",
    "mcp_resource": "sciencetostartup://surfaces/paper-workspace"
  }
}

Schema validation

paper-r2 contract: present
JSON-LD twin: SSR emitted
OpenAPI path parity: /api/openapi.json
MCP resource parity: paper-workspace

Job trace

queued: drawer opened by user action
running: inspect or copy payload
succeeded: payload available in SSR
failed: route errors appear in evidence cards

Evidence map

sources used: page freshness, source proof anchors, JSON-LD
missing sources: exposed by PaperPack and EvidenceState chips
derived fallbacks: marked unverified before handoff

Page Freshness

Canonical route, proof status, last verified, refs, sources, and coverage.

Page Freshness

Paper proof surface

Canonical route: /paper/when-to-hand-off-when-to-work-together-expanding-human-agent-co-creative-collaboration-through-concurrent-interaction

stale

Proof freshness: stale
Proof status: unverified
Display score: 5/10
Last proof check: 2026-04-02
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 0
Source count: 0
Coverage: 17%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

OpenAlex: pending — this preprint is not yet indexed by OpenAlex.

Agent Handoff

Endpoint list, payload shape, route context, and copyable handoff data.

Agent Handoff

"When to Hand Off, When to Work Together": Expanding Human-Agent Co-Creative Collaboration through Concurrent Interaction

Canonical ID when-to-hand-off-when-to-work-together-expanding-human-agent-co-creative-collaboration-through-concurrent-interaction | Route /paper/when-to-hand-off-when-to-work-together-expanding-human-agent-co-creative-collaboration-through-concurrent-interaction

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/paper/when-to-hand-off-when-to-work-together-expanding-human-agent-co-creative-collaboration-through-concurrent-interaction

MCP example

{
  "tool": "get_paper",
  "arguments": {
    "arxiv_id": "2603.02050"
  }
}

source_context

{
  "surface": "paper",
  "mode": "paper",
  "query": "\"When to Hand Off, When to Work Together\": Expanding Human-Agent Co-Creative Collaboration through Concurrent Interaction",
  "normalized_query": "2603.02050",
  "route": "/paper/when-to-hand-off-when-to-work-together-expanding-human-agent-co-creative-collaboration-through-concurrent-interaction",
  "paper_ref": "when-to-hand-off-when-to-work-together-expanding-human-agent-co-creative-collaboration-through-concurrent-interaction",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Buildability Receipt

Verdict, compute envelope, blockers, signature state, and receipt links.

Paper proof page receipt window

Watch and verify: "When to Hand Off, When to Work Together": Expanding Human-Agent Co-Creative Collaboration through Concurrent Interaction

/buildability/when-to-hand-off-when-to-work-together-expanding-human-agent-co-creative-collaboration-through-concurrent-interaction

Watchwatch

Subject: "When to Hand Off, When to Work Together": Expanding Human-Agent Co-Creative Collaboration through Concurrent Interaction

Verdict

Watch

Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

Time to first demo

Insufficient data

No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.

Compute envelope

Structured compute envelope

Insufficient data

No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.

Evidence ids

Receipt path

/buildability/when-to-hand-off-when-to-work-together-expanding-human-agent-co-creative-collaboration-through-concurrent-interaction

Paper ref

when-to-hand-off-when-to-work-together-expanding-human-agent-co-creative-collaboration-through-concurrent-interaction

arXiv id

2603.02050

Freshness

Generated at

2026-04-02T02:30:40.136Z

Evidence freshness

stale

Last verification

2026-04-02T02:30:40.136Z

Sources

References

Coverage

17%

Hash state

Lineage hash

d8f21e444409daf0d2be1047268f624dea686de55e27259545f1ea419a218395

Canonical opportunity-kernel lineage hash.

Signature state

External signature

unsigned_external

No founder, registry, pilot, or production-adoption signature is attached to this receipt.

Verification

not_verified

Verification is blocked until an external signature is provided.

Blockers

Missing: repo_url
Missing: references
Missing: proof_status
Missing: distribution_readiness_scores
Missing: paper_extraction_scorecards
Unknown: distribution readiness has not been computed yet
Unknown: proof verification has not been recorded yet

Verification pending / evidence receipt incomplete

repo_url

references

Missing proof, requirement, signature, approval, adoption, or telemetry fields are blockers and must not be inferred.

Open receipt API receipt Build Loop Signal Canvas Proof divergence Divergence API Brier outcomes API

Source Proof anchors

Visual citations from the paper document graph.

JSON-LD twin

The application/ld+json payload rendered for agents.

{
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  "@graph": [
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      "url": "https://sciencetostartup.com/paper/when-to-hand-off-when-to-work-together-expanding-human-agent-co-creative-collaboration-through-concurrent-interaction",
      "sameAs": "https://arxiv.org/abs/2603.02050",
      "identifier": {
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"When to Hand Off, When to Work Together": Expanding Human-Agent Co-Creative Collaboration through Concurrent Interaction

"When to Hand Off, When to Work Together": Expanding Human-Agent Co-Creative Collaboration through Concurrent Interaction

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Claim map

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References(35)

Related Papers

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Subscribe to the weekly brief

Build artifacts

Brief

Experiment plan

Validation checklist

Scientific founder

Translational engineer

Domain operator

GTM lead

Regulatory/clinical advisor

Timeline