Embedded interaction in a water fountain for motivating behavior change in public space

Arroyo, Ernesto; Bonanni, Leonardo; Valkanova, Nina

doi:10.1145/2207676.2207773

Cited by 13 publications

(20 citation statements)

References 8 publications

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“…(2010). Chapter 4: Study III Arroyo, E., Bonanni, L., and Valkanova, N. (2012 an university atrium with a large inner facade visible from several floors. 51 Figure 3.2 View of the first version of the theVISITORS prototype projected onto the inner rail of an exhibition space.…”

Section: Study Publicationsmentioning

confidence: 99%

Public visualization displays of citizen data: Design, impact and implications

Valkanova

Jordà

Moere

2015

International Journal of Human-Computer Studies

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Section: Study Publicationsmentioning

confidence: 99%

Public visualization displays of citizen data: Design, impact and implications

Valkanova

Jordà

Moere

2015

International Journal of Human-Computer Studies

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“…The evidence gained from the cited research was used to assess potential policy impact. [174][175][176][177][178][179][180][181][182][183][184][185] For this policy, the Evidence Quality Score was 28 and the Public Health Impact Score was 15. This result placed the impact of ensuring clean water access at the community level in the category of promising quality.…”

Section: Remove Taxes Levied On Bottled and Vended Drinking Watermentioning

confidence: 99%

Evidence-Based Policy Making: Assessment of the American Heart Association’s Strategic Policy Portfolio

Goldstein¹,

Antman²,

Arnett³

et al. 2016

Circulation

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Background-American Heart Association (AHA) public policy advocacy strategies are based on its Strategic Impact Goals.The writing group appraised the evidence behind AHA's policies to determine how well they address the association's 2020 cardiovascular health (CVH) metrics and cardiovascular disease (CVD) management indicators and identified research needed to fill gaps in policy and support further policy development. Methods and Results-The AHA policy research department first identified current AHA policies specific to each CVH metric and CVD management indicator and the evidence underlying each policy. Writing group members then reviewed each policy and the related metrics and indicators. The results of each review were summarized, and topic-specific priorities and overarching themes for future policy research were proposed. There was generally close alignment between current AHA policies and the 2020 CVH metrics and CVD management indicators; however, certain specific policies still lack a robust evidence base. For CVH metrics, the distinction between policies for adults (age ≥20 years) and children (<20 years) was often not considered, although policy approaches may differ importantly by age. Inclusion of all those <20 years of age as a single group also ignores important differences in policy needs for infants, children, adolescents, and young adults. For CVD management indicators, specific quantitative targets analogous to criteria for ideal, intermediate, and poor CVH are lacking but needed to assess progress toward the 2020 goal to reduce deaths from CVDs and stroke. New research in support of current policies needs to focus on the evaluation of their translation and implementation through expanded application of implementation science. Focused basic, clinical, and population research is required to expand and strengthen the evidence base for the development of new policies. Evaluation of the impact of targeted © 2016 American Heart Association, Inc.Circulation is available at http://circ.ahajournals.org DOI: 10.1161/CIR.0000000000000410The American Heart Association makes every effort to avoid any actual or potential conflicts of interest that may arise as a result of an outside relationship or a personal, professional, or business interest of a member of the writing panel. Specifically, all members of the writing group are required to complete and submit a Disclosure Questionnaire showing all such relationships that might be perceived as real or potential conflicts of interest.This policy statement was approved by the Advocacy Coordinating Committee February 23, 2016, and the American Heart Association Executive Committee on February 23, 2016. A copy of the document is available at http://professional.heart.org/statements by using either "Search for Guidelines & Statements" or the "Browse by Topic" area. To purchase additional reprints, call 843-216-2533 or e-mail kelle.ramsay@wolterskluwer.com.The American Heart Association requests that this document be cited as follows: Labarthe DR, Goldstein LB,...

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“…Although Touché [14] enables the detection of gestures performed in water and in air, it was not designed to provide gesture-related positional data. Gurgle [15] is a public space that augments an existing water fountain with watery reflections and sound to motivate change in human behavior.…”

Section: E Water Interactionmentioning

confidence: 99%

“…Fatigue attributed to gestural movements in air and on surfaces has been identified as an issue that requires investigation [8]- [11] This study introduces GestureTank, a tangible user interface that enables interaction in a volume of water. A unique feature of this study is that it treats a volume of water as a three-dimensional (3D) interaction space, in contrast to previous studies [12]- [15], which have concentrated on interactions in air (using various body parts or walking movements) or on the surface of a volume of water. The GestureTank detects the 3D positions of objects (e.g., feet and hands) inserted in water and detects seven gestures performed by the human foot.…”

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confidence: 99%

Gesture tank: a gesture detection water vessel for foot movements

Gunawardena

Hirakawa

2016

Int J on Adv. in ICT for Emerging Countries

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Abstract-Computers have become ubiquitous and integrated into our day-to-day activities. Researchers have been exploring mechanisms for interacting with computers using natural means in natural environments. Water interaction is a perfect example. This paper presents our attempt to use foot gestures performed in water as an interaction mechanism. It is an extension of our previous study for detecting objects in a water vessel. An experiment was performed to determine which foot-based gestures are suitable for implementation, and we proceeded to recognize a selected set of gestures using machine-learning techniques. We present our findings regarding which algorithms provide the best recognition rates.

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Embedded interaction in a water fountain for motivating behavior change in public space

Cited by 13 publications

References 8 publications

Public visualization displays of citizen data: Design, impact and implications

Public visualization displays of citizen data: Design, impact and implications

Evidence-Based Policy Making: Assessment of the American Heart Association’s Strategic Policy Portfolio

Gesture tank: a gesture detection water vessel for foot movements

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