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arxiv: 1907.01934 · v2 · pith:3GLP6P4Unew · submitted 2019-07-03 · 💻 cs.HC · q-bio.NC

Effect of assistive method on the sense of fulfillment with agency: Modeling with flow and attribution theory

Dan Nanno , Hideyoshi Yanagisawa This is my paper

Pith reviewed 2026-05-25 09:49 UTC · model grok-4.3

classification 💻 cs.HC q-bio.NC
keywords sense of agencysense of fulfillmentassistive technologyflow theoryattribution theoryjudgement of agencylocus of causalityhuman-computer interaction
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The pith

Hard-to-recognize assistance preserves users' sense of fulfillment by keeping agency internal.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper builds a model that merges flow theory with attribution theory to show how assistive methods change a user's sense of agency and the fulfillment that follows from it. Assistance is treated as raising perceived skill while lowering perceived challenge, yet the model uses the locus of causality to decide whether those changes count as internal or external to the user. The authors predict that assistance users struggle to notice will be attributed internally, preserving judgement of agency and therefore raising fulfillment, while obvious assistance will be attributed externally and reduce it. A game-task experiment varied how easily participants could detect the assistance and found support for the prediction that hard-to-recognize help produces higher fulfillment.

Core claim

The central claim is that the sense of fulfillment rises when assistance is hard for the user to recognize because that difficulty produces an internal locus of causality, which in turn sustains the judgement of agency; easily recognized assistance produces an external locus, lowers the judgement of agency, and therefore reduces fulfillment.

What carries the argument

The alignment of locus of causality from attribution theory with judgement of agency from the two-step account of agency, which separates the skill-increase effect from the challenge-decrease effect on the flow plane.

If this is right

  • Designers of assistive systems should prioritize methods that users cannot easily detect if the goal is to keep fulfillment high.
  • The skill-challenge plane can be adjusted by assistance while the internal-external distinction controls whether fulfillment rises or falls.
  • In interactive tasks the same level of performance gain can produce different fulfillment depending on how recognizable the help is.
  • The combined flow-attribution model supplies a testable rule for choosing among different assistive techniques.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same recognizability principle could be tested in non-game settings such as productivity software or vehicle controls where users also value feeling in control.
  • If the locus-agency link holds, training users to notice subtle assistance might actually lower their fulfillment.
  • The model suggests a way to quantify the trade-off between performance gain and retained agency without needing new psychological scales.

Load-bearing premise

The model assumes that the locus of causality directly determines whether assistance is experienced as internal or external to the user's own agency.

What would settle it

A controlled task experiment in which participants report equal or higher fulfillment after easily recognized assistance than after hard-to-recognize assistance.

read the original abstract

Several assistive technologies for users' operations have been recently developed. A user's sense of agency (SoA) decreases with increasing system assistance, possibly resulting in a decrease in the user's sense of fulfillment. This study aims to provide a design guideline for an assistive method to maintain and improve the sense of fulfillment with SoA. We propose a mathematical model describing the mechanisms by which the assistive method affects SoA and SoA induces a sense of fulfillment. The experience in the flow state is assumed to be a sense of fulfillment. The assistance effect on the skill-challenge plane in flow theory is defined as an increase in skill and decrease in challenge. The factor that separates the two effects from attribution theory is the locus of causality, which is matched to the judgement of agency (JoA) from the two-step account of agency. We hypothesized that the assistance increases the perception of skill and sense of fulfillment is greater when the locus of causality is internal, rather than external. To verify this hypothesis, a game task experiment was conducted with assistance that varied with the ease of recognition. We hypothesized that a player's JoA is internal for hard-to-recognize assistance, resulting in a high sense of fulfillment. Experimental results supported this hypothesis.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 2 minor

Summary. The paper proposes a mathematical model integrating flow theory and attribution theory to describe how assistive methods affect sense of agency (SoA) and sense of fulfillment (modeled as flow-state experience). Assistance is defined as increasing skill and decreasing challenge on the flow plane; the locus of causality (from attribution theory) is matched to judgement of agency (JoA) from the two-step account to separate these effects. The central hypothesis is that hard-to-recognize assistance produces internal locus/JoA and thus greater fulfillment. This is tested via a game-task experiment varying assistance recognizability, with results reported as supporting the hypothesis.

Significance. If the model and mapping hold, the work supplies a theory-driven design guideline for assistive technologies that preserve user fulfillment alongside SoA, addressing a practical HCI concern. The explicit linkage of two established theories to generate a falsifiable prediction, followed by experimental testing, is a methodological strength. Reproducible experimental results on recognizability effects would add value for the field.

major comments (1)
  1. [Abstract (model construction)] Abstract (model construction paragraph): the matching of locus of causality to JoA is introduced as a direct modeling choice to separate skill-increase versus challenge-decrease effects, yet no literature citation, empirical precedent, or sensitivity discussion is supplied for why this particular equivalence (rather than alternative mappings) is adopted. Because the hypothesis and its experimental test rest on this separation, additional justification is required for the claim to be load-bearing.
minor comments (2)
  1. The abstract states that 'experimental results supported this hypothesis' but supplies no sample size, exclusion criteria, statistical tests, or effect sizes; these must appear explicitly in the results section with full reporting.
  2. The proposed mathematical model is referenced but never displayed as equations; include the formal expressions (including any free parameters) in the main text so readers can assess derivation independence.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We are grateful to the referee for the constructive feedback. Below we respond to the major comment regarding the model construction.

read point-by-point responses

  1. Referee: [Abstract (model construction)] Abstract (model construction paragraph): the matching of locus of causality to JoA is introduced as a direct modeling choice to separate skill-increase versus challenge-decrease effects, yet no literature citation, empirical precedent, or sensitivity discussion is supplied for why this particular equivalence (rather than alternative mappings) is adopted. Because the hypothesis and its experimental test rest on this separation, additional justification is required for the claim to be load-bearing.

    Authors: The referee correctly identifies that the abstract presents the matching between locus of causality and JoA as a modeling choice without supporting citations or discussion of alternatives. This choice is motivated by the conceptual overlap: locus of causality determines whether the cause is attributed internally (to the self) or externally, which directly parallels the role of JoA in determining whether an action is judged as self-caused. This allows the model to differentiate the impact on fulfillment based on recognizability of assistance. However, we acknowledge the need for stronger grounding. In the revision, we will add citations to key papers on the two-step account of agency and attribution theory, provide a brief rationale for the mapping in the model section, and discuss potential alternative mappings and their implications. This will strengthen the load-bearing aspect of the hypothesis. revision: yes

Circularity Check

0 steps flagged

No significant circularity

full rationale

The paper constructs a model by explicitly mapping locus of causality (attribution theory) to judgement of agency (two-step account) and defining assistance effects on the skill-challenge plane (flow theory). This is presented as a modeling choice in the abstract and model-construction section. The hypothesis is then tested experimentally with assistance varying by recognizability; results are reported as supporting the hypothesis. No equations, fitted parameters renamed as predictions, or self-citation chains appear in the provided text that reduce the central claim to its inputs by construction. The derivation remains independent of the target result and is externally falsifiable via the game-task experiment.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

The central claim rests on two domain assumptions drawn from psychology: that flow-state experience equals sense of fulfillment, and that locus of causality can be directly identified with judgement of agency. No free parameters or invented entities are mentioned in the abstract.

axioms (2)
  • domain assumption The experience in the flow state is assumed to be a sense of fulfillment
    Explicitly stated as the modeling premise linking flow theory to fulfillment.
  • ad hoc to paper Locus of causality from attribution theory is matched to judgement of agency (JoA) from the two-step account of agency
    Used to separate the skill and challenge effects of assistance; this mapping is introduced in the model description.

pith-pipeline@v0.9.0 · 5754 in / 1314 out tokens · 44838 ms · 2026-05-25T09:49:38.816878+00:00 · methodology

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Reference graph

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