HCI Research as Problem-Solving

Oulasvirta, Antti; Hornbæk, Kasper

doi:10.1145/2858036.2858283

Cited by 120 publications

(68 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This methodological approach is based on identifying and refining categories from a representative set of qualitative data, here papers, which are then used to incrementally build up a theoretical model (Section 6). This approach has been used in visualization research [28,35,51] and related areas such as HCI before [25], and its importance for building up the much needed theoretical foundation in visualization has been recognized [45,51]. We next describe our method, followed by more detailed sub-sections on our analysis procedure and findings.…”

Section: Methodsmentioning

confidence: 99%

Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis

Sacha

Zhang

Sedlmair

et al. 2017

IEEE Trans. Visual. Comput. Graphics

208

139

View full text Add to dashboard Cite

Abstract-Dimensionality Reduction (DR) is a core building block in visualizing multidimensional data. For DR techniques to be useful in exploratory data analysis, they need to be adapted to human needs and domain-specific problems, ideally, interactively, and on-the-fly. Many visual analytics systems have already demonstrated the benefits of tightly integrating DR with interactive visualizations. Nevertheless, a general, structured understanding of this integration is missing. To address this, we systematically studied the visual analytics and visualization literature to investigate how analysts interact with automatic DR techniques. The results reveal seven common interaction scenarios that are amenable to interactive control such as specifying algorithmic constraints, selecting relevant features, or choosing among several DR algorithms. We investigate specific implementations of visual analysis systems integrating DR, and analyze ways that other machine learning methods have been combined with DR. Summarizing the results in a "human in the loop" process model provides a general lens for the evaluation of visual interactive DR systems. We apply the proposed model to study and classify several systems previously described in the literature, and to derive future research opportunities.

show abstract

Section: Methodsmentioning

confidence: 99%

Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis

Sacha

Zhang

Sedlmair

et al. 2017

IEEE Trans. Visual. Comput. Graphics

208

139

View full text Add to dashboard Cite

show abstract

“…Such methods need to estimate an impact, draw scenarios of future trajectories [75], or discuss the uncertainties [58]. Research contributions that discuss the development of evaluation in HCI can help SHCI to identify new methods, such as by focus on problemsolving [66], using projective validity [85], reconsidering what validity is "about" [27], or focusing more on the justification of theories [28].…”

Section: Need For Methods That Deal With Uncertainty and Future Implimentioning

confidence: 99%

Evaluation Beyond Usability

Remy

Bates

Dix

et al. 2018

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

The evaluation of research artefacts is an important step to validate research contributions. Sub-disciplines of HCI often pursue primary goals other than usability, such as Sustainable HCI (SHCI), HCI for development, or health and wellbeing. For such disciplines, established evaluation methods are not always appropriate or sufficient, and new conventions for identifying, discussing, and justifying suitable evaluation methods need to be established. In this paper, we revisit the purpose and goals of evaluation in HCI and SHCI, and elicit five key elements that can provide guidance to identifying evaluation methods for SHCI research. Our essay is meant as a starting point for discussing current and improving future evaluation practice in SHCI; we also believe it holds value for other subdisciplines in HCI that encounter similar challenges while evaluating their research.

show abstract

“…processes has been been suggested by Oulasvirta and Hornbaek [36]. For the authors, the problematization of some artistic practice can help to transform an artistic process into a process of research, even more than enveloping it together with some theoretical discourse.…”

Section: Problematization the Systematization Of Artistic Research Pmentioning

confidence: 99%

How The Arts Can Help Tangible Interaction Design: A Critical Re-Orientation

Enrique

2017

Informatics

View full text Add to dashboard Cite

There is a long history of creative encounters between tangible interface design and the Arts. However, in comparison with media art, tangible interaction seems to be quite anchored into many of the traditional methodologies imported from human-computer interaction (HCI). How can the Arts help tangible interaction design? Building on Søren Pold's Interface Aesthetics, a re-orientation of the role of the artist towards a critical examination of our research medium-tangible interaction-is proposed. In this essay, the benefits of incorporating artistic research and its methodologies into our field are described. With these methodologies it is possible to better assess experiential aspects of interaction-a relevant attribute which traditional HCI approaches cannot afford. In order to inform our community, three examples of critical artworks are comparatively studied and discussed.

show abstract

HCI Research as Problem-Solving

Cited by 120 publications

References 51 publications

Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis

Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis

Evaluation Beyond Usability

How The Arts Can Help Tangible Interaction Design: A Critical Re-Orientation

Contact Info

Product

Resources

About