Machine Learning is a method of statistical learning where each instance in a dataset is described by a set of features or attributes. In contrast, the term “Deep Learning” is a method of statistical learning that extracts features or attributes from raw data.

A System for Approaching Revision

Cybernetics

Rapid interactive refinement

Design’s role is to contribute a humanist perspective that considers the social, political, ethical, cultural, and environmental factors of implementing AI into daily human-to-computer interactions.

Design-Infused

Participatory Mindset

Myerson’s “Scaling Down” approach

Start with the major points going down towards minor issues

If you do think a reviewer missed something that was in your paper, don’t outright state this, kindly direct them to this information

understand where each of the reviewers stand. Who is the most positive (or the paper’s champion) and who is the most negative (the paper’s destroyer)?

the act of formulating questions enables us “to organize our thinking around what we don’t know.”

(1) Describing what was done.(2) Describingwhat was found(key results)

the 2-2-2 rule: Always have two manuscripts in preparation, two under review, and two in press.

One question I had was Figure 3, which purports to show significant differences in a post-experimental measure of learning, but for which the ratings look substantially the same (varying between 55 and 65 on a scale labeled "ratings"). It would probably help to have some additional information or some comment in the text about why this is significant (i.e., there must be small but consistent differences across subjects?).

The research does not seem to offer much, however, beyond what has already been published.

These can inform choices between certain menu types in UI design.

The paper presents a set of six guidelines on menu design, drawn from two experiments studying menu selection in the presence of other targets on a GUI desktop.

Writing the Review

a design briefing a development methodology or tools an interaction technique an interactive system a reflective analysis results from fieldwork and ethnography, e.g., findings, guidelines, etc. results from laboratory studies, e.g., findings, techniques, methods, etc. theory or model.

in two or three sentences, what contribution the paper aims to make to the field of Human-Computer Interaction

Introduction, Related Work, Main Section, Results, and Discussion

Collectively all of these commentaries should be directed to helping authors produce the best papers possible, whether a particular paper is ultimately accepted to a venue or not, and are an essential outcome of the review process.

a good meta-review also discusses what comments you weighted more heavily from the reviewers, and why, in reaching your evaluation of the paper.

Writing a good meta-review is a lot like writing a good review, only it takes into account the points raised by all of the reviewers, rather than just reflecting your own opinion.

make great suggestions for how the authors could improve the articulation or organization of their work

The Good Review will raise smart and tough questions which the authors can then address in their revisions, or it might raise fresh considerations or new aspects of a design space that the authors hadn't fully fleshed out.

how the author’s arguments, results, and demonstrations fit into closely related work as well as the field as a whole.

raise whole new perspectives and angles of contribution that might be suggested by the work, or propose connections to areas of the literature that the author might not have thought of or even been aware of.

The Good Review reflects on the contributions or possible contributions of the work, and discusses the weaknesses and limitations in a positive manner, but most particularly clearly calls out the strengths and utility of the work as well.

Learners not using reflective thinking in problem solving, tend to be less systematic in collecting information and data, spend less time on planning the solution beforehand and usually do not consider alternative methods (Van Mierenboer, 1990:45).

Self-regulated learning implies that effective learners are actively involved in their own learning through metacognitive, motivational and behavioural processes (Zimmerman, 1990:4)

the difference between an expert learner and a novice learner