Family interaction for responsible natural resource consumption

Lepe-Salazar, Francisco; Yamabe, Tetsuo; Alexandrova, Todorka; Liu, Yefeng; Nakajima, Tatsuo

doi:10.1145/2212776.2223760

Cited by 7 publications

(3 citation statements)

References 7 publications

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“…In [23], a display to present gas, electricity, and water consumption in an artistic way is described. In [21], a persuasive application to promote a responsible attitude towards natural resources, food, and water during family interactions is described. The comparison between lightweight ambient and numeric displays is performed in [20].…”

Section: Related Workmentioning

confidence: 99%

Water Analytics and Management with Real-Time Linked Dataspaces

Hassan

Hasan

Derguech

et al. 2017

Public Administration and Information Technology

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Due to predictions of water scarcity in the future, governments and public administrations are increasingly looking for innovative solutions to improve water governance and conservation. The problem is exasperated due to low levels of awareness about water consumption among the general public. This calls for a holistic approach to effectively manage resources during all stages of water usage. Implementation of such an approach heavily relies on advanced analytics technologies that combine data from different sources to enable decision support and public engagement. The next-generation of water information management systems must overcome significant technical challenges including integration of heterogeneous and real-time data, creation of analytical models for diverse users, and exploitation of ubiquitous devices to disseminate actionable information. This chapter presents a new approach for water analytics in public spaces that is built upon the fundamental concepts of Linked Data technologies. The chapter also presents a concrete realization of the Linked Data approach through the development of water analytics applications for buildings in public educational institutions.

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Section: Related Workmentioning

confidence: 99%

Water Analytics and Management with Real-Time Linked Dataspaces

Hassan

Hasan

Derguech

et al. 2017

Public Administration and Information Technology

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“…Typically these projects attempt to change individuals' behavior through a range of feedback mechanisms tied into various ways of sharing and comparing the data (e.g., [5,6,7,8,9]). …”

Section: Sensing | Ambiant Awareness | Behavioral Persuasionmentioning

confidence: 99%

Changing perspectives on sustainability

Busse

Mann

Nathan

et al. 2013

CHI '13 Extended Abstracts on Human Factors in Computing Systems

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This year's Sustainability SIG invites participants to apply the conference theme "changing perspectives" to sustainability research and practice within the human computer interaction community. As the number of sustainability-oriented endeavors in the field continues to grow, so does the number of critiques on the work undertaken. Perspectives continue to shift concerning how the HCI community "should" attend to the monumental ecosystem changes societies face in the coming decades. For such an enormous problem, is it best to concentrate our limited resources (time, money, people) on compatible approaches in order to build on each other's findings? Do recent critiques risk sundering a nascent community of scholars? Or is it misguided to privilege a limited number of approaches to addressing a complex, problematic situation?

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“…Smart refrigerators, for example, are capable to record expiration dates, so that food can be closely monitored and prevented to get wasted [7]. Cooking appliances are being designed with embedded interactive games or technology to increase interests on the food waste problem [8,9] or to promote change towards alternative meals [10,11]. Although eco-feedback is generally used for other types of consumption such as energy or water use in households [12], its impacts on food waste and related behavior is rarely studied.…”

Section: Introductionmentioning

confidence: 99%

E-COmate: What’s Your Non-consumption?

Lim

Funk

Rauterberg

et al. 2015

Advances in Computational Intelligence

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Abstract. Most people lack awareness and hence understanding about how food-related behavior affects the environment. This commonly results in unsustainable food-related decision making, such as food waste. We propose E-COmate, an augmented bin that measures the weight of food waste through a USB postal scale, a bin and a Raspberry Pi with a Wi-Fi module, and give direct feedback to its users through a tablet by visualizing metaphorical units of the weighted food waste. We intend explore the use of E-COmate in redirecting behavior through transparency, visibility and social influence strategies like social comparison. In this paper, we present our concept, implementation, design rationale and plan of research which we expect to provide insights into the potential of eco-feedback integrated in smart home technology for food sustainability.

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Family interaction for responsible natural resource consumption

Cited by 7 publications

References 7 publications

Water Analytics and Management with Real-Time Linked Dataspaces

Water Analytics and Management with Real-Time Linked Dataspaces

Changing perspectives on sustainability

E-COmate: What’s Your Non-consumption?

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