Exploring Qualitative Displays and Interfaces

Lockton, Dan; Ricketts, Delanie; Chowdhury, Shruti Aditya; Lee, Changhee

doi:10.1145/3027063.3053165

Cited by 26 publications

(14 citation statements)

References 23 publications

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“…Throughout this paper, we explored the relevance of adopting a qualitative aesthetics of interaction to extend the design space of sports wearables for women. Deliberately positioning this work in opposition to the widespread use of quantification as a motivational strategy [21], we question the current tailoring of motivational design to address the needs of a specific target group and notably amongst women [29]. Our interactive bracelet Grace acts here as a propositional object embedding notions of gracefulness and social support.…”

Section: Discussion and Future Workmentioning

confidence: 99%

“…Even though this paradigm speaks to a particular type of encouragement, a lot of people are not encouraged by knowing that they are faster or stronger than others (or than they used to be), but they are encouraged by being part of a community [17,39]. The use of such a paradigm of exercise encouragement through a more qualitative social interaction seems to be a relatively unexplored area [21]. Yet it seems promising to give social meaning to sport-related feedback [23] through a more abstract and poetic way [38] by incorporating ambiguity and visualizing uncertainty in the feedback [10].…”

Section: Quantification In Body-monitoringmentioning

confidence: 99%

“…In this paper, we introduce the design of Grace, a piece of jewelry that allows women to share their exercise intentions with friends to enable social support. While the current design space of wearable sports devices mainly focuses on quantification, we extend it here by relying on a qualitative aesthetics of interaction [9,21]. Away from the use of numbers as a feedback mechanism, our approach combines meaningful gestures with a specific aesthetics of the artifact.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Graceful Interactions and Social Support as Motivational Design Strategies to Encourage Women in Exercising

Menheere

Lallemand

Faber

et al. 2019

Proceedings of the Halfway to the Future Symposium 2019

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Increasingly aware of the importance of active lifestyles, many people intend to exercise more. Yet the main challenge remains to translate these intentions into action. Wearable devices supporting exercise regrettably tend to adopt a one-size-fits-all approach by monitoring activity through quantified data as a motivation strategy. Since certain individuals are driven by social motives to exercise, less addressed through quantification, the impact of these devices on user experience and motivation is questionable. We contribute to the field by defining interaction attributes of graceful interactions in product design. We then embedded these in designing Grace, a piece of jewelry enabling women to share exercise intentions with friends to encourage social support. Instead of focusing on quantification, we rely on a qualitative approach using graceful interaction. Through this we extend the design space of sport-related wearables for women and inform how to design for exercise motivation through social support and graceful interactions.

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Section: Discussion and Future Workmentioning

confidence: 99%

Section: Quantification In Body-monitoringmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Graceful Interactions and Social Support as Motivational Design Strategies to Encourage Women in Exercising

Menheere

Lallemand

Faber

et al. 2019

Proceedings of the Halfway to the Future Symposium 2019

View full text Add to dashboard Cite

show abstract

“…Conversely, an ambient display that mimics the outdoor sky based on weather data would have a short symbolic distance, but a long causal distance because of the complexity of the mediating apparatus. In place of these two dimensions, the concept of qualitative displays elegantly presents a one-dimensional measure of directness, describing the degree of intervention by a designer [39]. This dimension spans five different levels ranging from visual phenomena that are their own visualization to highly artificial data physicalizations at both extremes of the scale.…”

Section: Autographic Visualization Neighborsmentioning

confidence: 99%

Data by Proxy — Material Traces as Autographic Visualizations

Offenhuber

2020

IEEE Trans. Visual. Comput. Graphics

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Phenomenon Data Analysis gap start here pattern exploration interpretation Phenomenon Data Analysis gap start here revealing traces interpretation Phenomenon Data Analysis revealing traces interpretation pattern exploration interpretation Information Visualization Autographic Visualization Combined ModelFig. 1. Traditional information visualization starts with the exploration of a data set to find inherent patterns. The represented phenomenon is interpreted based on what is found in the data, but the connection between data and phenomenon remains hidden. Autographic visualization starts with the phenomenon and explores the data generation process through material traces. A gap remains between the interpretation of traces and more complex forms of computational analysis. A combined model uses autographic principles of revealing traces to re-contextualize data with the phenomena they supposedly describe.Abstract-Information visualization limits itself, per definition, to the domain of symbolic information. This paper discusses arguments why the field should also consider forms of data that are not symbolically encoded, including physical traces and material indicators. Continuing a provocation presented by Pat Hanrahan in his 2004 IEEE Vis capstone address, this paper compares physical traces to visualizations and describes the techniques and visual practices for producing, revealing, and interpreting them. By contrasting information visualization with a speculative counter model of autographic visualization, this paper examines the design principles for material data. Autographic visualization addresses limitations of information visualization, such as the inability to directly reflect the material circumstances of data generation. The comparison between the two models allows probing the epistemic assumptions behind information visualization and uncovers linkages with the rich history of scientific visualization and trace reading. The paper begins by discussing the gap between data visualizations and their corresponding phenomena and proceeds by investigating how material visualizations can bridge this gap. It contextualizes autographic visualization with paradigms such as data physicalization and indexical visualization and grounds it in the broader theoretical literature of semiotics, science and technology studies (STS), and the history of scientific representation. The main section of the paper proposes a foundational design vocabulary for autographic visualization and offers examples of how citizen scientists already use autographic principles in their displays, which seem to violate the canonical principles of information visualization but succeed at fulfilling other rhetorical purposes in evidence construction. The paper concludes with a discussion of the limitations of autographic visualization, a roadmap for the empirical investigation of trace perception, and thoughts about how information visualization and autographic visualization techniques can contribute to each other.

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“…This artefact was developed as an evocative object [14] to discuss and facilitate thoughts around the translative property of synaesthesia. The conversations around this property and artefact became inspirational sources for exploring research areas such as the idea of qualitative displays and interfaces [15] and data physicalisation [16]. In this context, we tried to find out whether there is any other palpable way to use this translative property of synaesthesia for the sake of ideation.…”

Section: Translative Property Of Synaesthesiamentioning

confidence: 99%