Designing socially acceptable multimodal interaction in cooking assistants

Vildjiounaite, Elena; Kantorovitch, Julia; Kyllönen, Vesa; Niskanen, Ilkka; Hillukkala, Mika; Virtanen, Kimmo; Vuorinen, Olli; Mäkelä, Satu-Marja; Keränen, Tommi; Peltola, Johannes; Mäntyjärvi, Jani; Tokmakoff, Andrew

doi:10.1145/1943403.1943479

Cited by 10 publications

(6 citation statements)

References 6 publications

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“…An automated cabinet system assists the user in retrieving or storing items in the kitchen according to the recipe selected (Ficocelli & Nejat, 2012). Another study evaluates the acceptance of different multimodal features of a cooking assistant depending on the context of use (Vildjiounaite et al, 2011). Studies at University of York (UK) investigated different options of electronic recipe presentations to understand cooks' preferences (Buykx & Petrie, 2011).…”

Section: Cooking Assistantsmentioning

confidence: 99%

Reducing temporal tensions as a strategy to promote sustainable behaviours

Oliveira

Mitchell

May

2016

Computers in Human Behavior

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This research proposes that it is possible to deliberately reduce temporal tensions in order to promote energy saving behaviours. People may not dedicate enough time to planning their tasks that consume energy, rushing into them without much deliberation. They may also use more energy than necessary in an attempt to accelerate processes that seem to be taking too long, to reduce the boredom of waiting. Persuasive technology provided the tools to manipulate the perception of time and therefore elicit changes in the specific behaviours that result in unnecessary energy usage. Cooking tasks were used as the scenario to test behaviour change strategies delivered via a smartphone application. Results showed that these strategies facilitated the performance of sustainable behaviours. Participants reported that the app made (1) them more likely to follow the steps needed to use less energy, (2) the activity more enjoyable and (3) the time appear to pass more quickly compared to a control version.

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Section: Cooking Assistantsmentioning

confidence: 99%

Reducing temporal tensions as a strategy to promote sustainable behaviours

Oliveira

Mitchell

May

2016

Computers in Human Behavior

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“…Hence, this scenario requires cooperation between a number of smart products, specifically: Cooking Assistant, Smart Fridge, Smart Cupboards, Shopping Assistant, and Supermarket Agents, with the interactions between these smart products occurring around shared tasks in two different ambiances 3 , a Smart Kitchen and a Supermarket. The requirement for proactivity here means that the smart products must be able to proactively contribute to shared tasks, such as meal planning and shopping at the supermarket, both at the time when requests for information are broadcast but also, as in the example of the strawberries being removed from the fridge, when some event occurs which has implications for the tasks currently being executed.…”

Section: A Scenariomentioning

confidence: 99%

“…While the SmartProducts project has looked at a whole range of issues, which need to be tackled to support effective networks of context-aware and proactive smart products, including user interaction [3], access control models [4], and distributed storage [5], in this paper we focus on the core challenge posed by the project scenarios: the design and implementation of a computational infrastructure to realize networks of proactive smart products. Hence we will provide a complete overview of our approach, covering both the knowledge level and the symbol level [6] elements of our solution and in particular showing how we have integrated semantic technologies with ubiquitous computing solutions, to equip resource-constrained physical devices with the capability of representing and reasoning with knowledge structures and engaging in co-operative problem solving.…”

Section: Introductionmentioning

confidence: 99%

Realizing Networks of Proactive Smart Products

d’Aquin

Motta

Nikolov

et al. 2012

Lecture Notes in Computer Science

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Abstract. The sheer complexity and number of functionalities embedded in many everyday devices already exceed the ability of most users to learn how to use them effectively. An approach to tackle this problem is to introduce 'smart' capabilities in technical products, to enable them to proactively assist and co-operate with humans and other products. In this paper we provide an overview of our approach to realizing networks of proactive and co-operating smart products, starting from the requirements imposed by real-world scenarios. In particular, we present an ontology-based approach to modeling proactive problem solving, which builds on and extends earlier work in the knowledge acquisition community on problem solving methods. We then move on to the technical design aspects of our work and illustrate the solutions, to do with semantic data management and co-operative problem solving, which are needed to realize our functional architecture for proactive problem solving in concrete networks of physical and resource-constrained devices. Finally, we evaluate our solution by showing that it satisfies the quality attributes and architectural design patterns, which are desirable in collaborative multi-agents systems.

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“…Thus it makes sense to build group profiles also by combining individual preferences for the same context. After a preliminary user study with the cooking assistant [1] we concluded that the following combination strategies may be feasible to use:…”

Section: Strategies To Build Group Profiles From Individual Preferencesmentioning

confidence: 99%

“…Although it is possible to always enable all available input functionality and to adapt only output, our first user study with the cooking assistant prototype [1] has shown that it is infeasible to assume that users would not care whether activity recognition is enabled or disabled if recognition results are not used in any way. Many test subjects said that tracking is annoying independently on how the data is used, because tracking "does not allow to feel like left alone".…”

Section: Introductionmentioning

confidence: 99%

If their car talks to them, shall a kitchen talk too?

Vildjiounaite

Kyllönen

Mäntyjärvi

2011

Proceedings of the 3rd ACM SIGCHI Symposium on Engineering Interactive Computing Systems

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So called "smart products" try to recognise user context and to deliver relevant information upon own initiative, e.g., to advise to buy a windscreen washing liquid or to stir an overheated meal. As variety of usage situations grow, it may become difficult for the users to configure interaction manually in every new case, e.g., to specify via which modalities to deliver different message types. This work proposes several strategies to predict interaction preferences of individual users and user groups for a new context, based on preferences of these and other users in other contexts and preferences of other users in the target context. In the experiments with the smart products' configurations, set by 21 test subjects for different contexts (new and known tasks in cooking and car servicing domains, performed alone and in a group), the best of the proposed preferences mediation strategies allowed to predict on average 75% of settings, chosen by individuals and groups.

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Designing socially acceptable multimodal interaction in cooking assistants

Cited by 10 publications

References 6 publications

Reducing temporal tensions as a strategy to promote sustainable behaviours

Reducing temporal tensions as a strategy to promote sustainable behaviours

Realizing Networks of Proactive Smart Products

If their car talks to them, shall a kitchen talk too?

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