How Do Future Visions Shape the Field of Human-Computer Interaction?
This is a strong honorable-mention CHI paper because it does something deceptively simple but field-shaping: it empirically studies visions as a community object, not just as inspirational rhetoric. The payoff is a clear descriptive synthesis plus a critical-reading lens; the main caveat is that the evidence is self-reported and sample-bounded.
Axes Lens
Rare contribution shape, typical evidence profile. The point here is not a score. It is to show what kind of claim the paper makes, and whether the evidence pattern is unusual or baseline in this 268 -review set.
Contribution shape
- Knowledge form
- descriptive knowledge typical · 92/268
- Novelty type
- synthesis typical · 16/268
- Abstraction level
- field typical · 41/268
- Generalization target
- field argument typical · 55/268
- Validation mode
- survey synthesis typical · 10/268
Evidence profile
- Evidence strength
- strong typical · 158/268
- Claim alignment
- strong typical · 231/268
- Overclaim risk
- medium typical · 210/268
Review Summary
This paper’s contribution is best understood as a metascientific synthesis about the intellectual infrastructure of HCI. Rather than proposing a new interaction technique, system, or design artifact, it asks a more reflexive question: how do future visions shape the field, and how do HCI researchers themselves engage with those visions? The authors answer this with a survey of 172 HCI researchers and then use the responses to build a structured account of what counts as a vision, how visions are used, and what benefits and harms they are perceived to have. That is a meaningful departure from common-sense treatment of visions as simply inspirational or predictive documents. The paper instead frames them as field-shaping objects that can guide research agendas, initiate paradigms, provide narratives, and support teaching, while also restricting creativity, leading research astray, and generating hype. The novelty lies in the synthesis: the paper does not invent a new method or artifact, but it does produce a reusable conceptual map of the community’s attitudes, including tensions such as insight versus ignorance, direction versus misdirection, and inspiration versus manipulation. The validation is appropriately scoped to survey evidence. The authors are explicit that the data are self-reported, that the survey format constrained nuance, and that recruitment from CHI 2025 authors produced a Europe-skewed sample that cannot be treated as representative of CHI as a whole. Those limitations matter because they bound the claims to descriptive and normative insight rather than causal explanation. Even so, the paper is valuable because it gives HCI a vocabulary for talking about its own future-oriented canon more critically. It is especially strong as a field-level contribution: it connects classic visions, contemporary researcher practice, and critical reading strategies into one coherent account. That combination of empirical grounding, conceptual clarity, and reflexive usefulness is exactly the kind of contribution that can earn honorable-mention recognition at CHI.
What Changed
Canon before
Prior CHI and HCI work largely treated visions of the future as inspirational, agenda-setting, pedagogical, or speculative artifacts that help motivate design and research. This paper shifts the unit of analysis upward: it treats visions as field-shaping objects that can be studied empirically across a community, rather than only as rhetorical devices or isolated exemplars. That move matters because it turns a familiar HCI trope into something that can be surveyed, compared, and critically reflected on at the level of the field.
Departure from common sense
The paper’s non-obvious move is to refuse the usual benign reading of visions as merely inspirational blueprints. Instead, it argues that visions are simultaneously productive and risky sociotechnical forces: they guide research, structure paradigms, and inspire communities, but they can also restrict alternatives, misdirect effort, and normalize hype. That dual framing is what makes the paper more than a descriptive catalog of famous future texts.
Actual novelty
Its novelty is a survey-based metascientific synthesis of how HCI researchers actually engage with visions: what they count as visions, which visions they cite, how they use them in teaching, papers, grants, and discussion, and how they reread them over time. The paper then converts those responses into a field-level account of benefits, pitfalls, tensions, and critical-reading practices. In other words, the contribution is not a new artifact or technique, but a structured empirical synthesis that turns community attitudes into a reusable conceptual lens for HCI.
Evidence
The paper surveys 172 HCI researchers and uses their responses to build a field-level account of visions in HCI. It reports what respondents regard as visions, how strongly they think visions matter, how they use them in practice, and what benefits and pitfalls they associate with them. The authors also derive tensions and reading strategies, while explicitly acknowledging survey-format and sampling limits that constrain representativeness and nuance.
“ Yet, we know little about the practical value of these visions for research on Human-Computer Interaction (HCI) or how HCI researchers engage with them individually and collectively”
actual novelty · Abstract · confidence 0.98
“ Rather than treating visions as isolated statements of intent, we can examine them as part of an ongoing accumulation and negotiation of visions, much like the way scientific theories evolve through successive interpretations”
departure from common sense · Introduction · confidence 0.96
“ [78] M. Weiser. 1996. " Open House," Review. the web magazine of the Interactive Telecommunications Program of New York University (1996). Google Scholar [79] Pierre Wellner. 1991. The DigitalDesk calculator: tangible manipulation on a desk top display”
limitation · 7.5 Methodological Considerations · confidence 0.99
“ Ability-Based Design: Concept, Principles and Examples. ACM Transactions on Accessible Computing 3, 3 (April 2011), 1–27. Digital Library Google Scholar [81] Biao Zeng, Minjeong Jeon”
validation scope · 7.5 Methodological Considerations · confidence 0.97
Limits
Method limits
The evidence is based on self-reported survey responses, so it captures perceptions, recollections, and stated practices rather than observed behavior or causal effects. The authors also note that the survey format constrained how fully respondents could articulate nuanced positions, especially for personal visions and more reflective answers.
Deployment limits
The findings are most directly useful as a reflective and pedagogical resource for HCI researchers, educators, and reviewers who want to read visions more critically. They are not validated as an intervention for changing research practice, nor do they establish a causal model of how visions shape outcomes in the wild.
Boundary conditions
The study is bounded by recruitment from CHI 2025 authors and by a respondent pool skewed toward Europe-based members of the community. The authors explicitly caution that visions may differ in uptake and interpretation across regions, so the results should not be treated as representative of the entire CHI community or of HCI globally.
Position in field
This paper sits in the metascientific and reflective wing of HCI: it is a field-level synthesis about how the community imagines its own future. It bridges conceptual critique and empirical survey work, and its main value is to provide a vocabulary for discussing visions as both enabling and constraining forces in HCI practice.