publications([{ "lang": "en", "publisher": "IEEE", "doi": "https://doi.org/10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00149", "title": "Context-Aware Voice-based Interaction in Smart Home -VocADom@A4H Corpus Collection and Empirical Assessment of its Usefulness", "url": "https://hal.archives-ouvertes.fr/hal-02165532", "abstract": "Smart homes aim at enhancing the quality of life of people at home by the use of home automation systems and Ambient Intelligence. Most of these smart homes provide enhanced interaction by relying on context-aware systems learned on data. Whereas voice-based interaction is the current emerging trend, most available corpora are either concerned only with home automation sensors or only with audio technology, which limits the development of context-aware voice-based systems. This paper presents the VocADom@A4H corpus, which is a dataset composed of users’ interactions recorded in a fully equipped Smart Home. About 12 hours of multichannel distant speech signal synchronized with logs of an openHAB home automation system were collected from 11 participants who performed activities of daily living with the presence of real-life noises, such as other persons speaking, use of vacuum cleaner, TV, etc. This corpus can serve as a valuable material for studies in pervasive intelligence, such as human tracking, human activity recognition, context aware interaction, and robust distant speech processing in the home. Experiments performed on multichannel speech and home automation sensors data for robust voice activity detection and multiresident localization show the potential of the corpus to support the development of context-aware smart home systems.", "authors": { "1": { "first_name": "François", "last_name": "Portet" }, "2": { "first_name": "Sybille", "last_name": "Caffiau" }, "3": { "first_name": "Fabien", "last_name": "Ringeval" }, "4": { "first_name": "Michel", "last_name": "Vacher" }, "5": { "first_name": "Nicolas", "last_name": "Bonnefond" }, "6": { "first_name": "Solange", "last_name": "Rossato" }, "7": { "first_name": "Benjamin", "last_name": "Lecouteux" }, "8": { "first_name": "Thierry", "last_name": "Desot" } }, "year": 2019, "uri": "http://iihm.imag.fr/publication/PCR+19h/", "pages": "811-818", "bibtype": "inproceedings", "id": 916, "abbr": "PCR+19h", "address": "Fukuoka, Japan", "date": "2019-08-05", "type": "Conférences internationales de large diffusion avec comité de lecture sur texte complet", "booktitle": "PICom 2019 - 17th IEEE International Conference on Pervasive Intelligence and Computing", "type_publi": "icolcomlec" }, { "lang": "en", "publisher": "Springer", "doi": "https://doi.org/10.1007/978-3-030-03062-9_2", "title": "“Will the Last One Out, Please Turn Off the Lights”: Promoting Energy Awareness in Public Areas of Office Buildings", "abstract": "Most previous research in sustainable HCI has focused on electricity consumption in domestic environments or private office spaces. Here, we ad-dress use of lighting in public areas of office buildings with the goal of under-standing and measuring how calm technologies can inspire positive engagement by promoting awareness and competition. We have conducted a 15-month study with the design, deployment, and assessment of two complementary ambient apparatus (one centralized, one distributed) in an office building occupied by ICT start-up companies. Our results show that calm technology can be effective under specific conditions, resulting in a significant reduction of average elec-tricity consumption. We also discovered that in the absence of automatic con-trols, approximately 25% of lighting consumption occurred during off-work hours.", "year": 2018, "uri": "http://iihm.imag.fr/publication/CCB+18b/", "pages": "20-36", "bibtype": "inproceedings", "id": 829, "abbr": "CCB+18b", "authors": { "1": { "first_name": "Joëlle", "last_name": "Coutaz" }, "2": { "first_name": "Antonin", "last_name": "Carlesso" }, "3": { "first_name": "Nicolas", "last_name": "Bonnefond" }, "4": { "first_name": "Raffaella", "last_name": "Balzarini" }, "5": { "first_name": "Yann", "last_name": "Laurillau" }, "6": { "first_name": "Nadine", "last_name": "Mandran" }, "7": { "first_name": "James", "last_name": "Crowley" } }, "date": "2018-09-25", "document": "http://iihm.imag.fr/publs/2018/Ami2018-Paper13-Final.pdf", "type": "Conférences internationales de large diffusion avec comité de lecture sur texte complet", "booktitle": "Proc. of the European Conference on Ambient Intelligence (AmI 2018)", "type_publi": "icolcomlec" }, { "lang": "en", "type_publi": "colloque", "doi": "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.635.2771", "title": "The EEE corpus: socio-affective \"glue\" cues in elderly-robot interactions in a Smart Home with the EmOz platform", "abstract": "The aim of this preliminary study of feasibility is to give a glance at interactions in a Smart Home prototype between the elderly and a companion robot that is having some socio-affective language primitives as the only vector of communication. The paper particularly focuses on the methodology and the scenario made to collect a spontaneous corpus of human-robot interactions. Through a Wizard of Oz platform (EmOz), which was specifically developed for this issue, a robot is introduced as an intermediary between the technological environment and some elderly who have to give vocal commands to the robot to control the Smart Home. The robot vocal productions increases progressively by adding prosodic levels: (1) no speech, (2) pure prosodic mouth noises supposed to be the “glue’s” tools, (3) lexicons with supposed “glue” prosody and (4) subject’s commands imitations with supposed “glue” prosody. The elderly subjects’ speech behaviours confirm the hypothesis that the socio-affective “glue” effect increase towards the prosodic levels, especially for socio-isolated people. The actual corpus is still on recording process and is motivated to collect data from socio-isolated elderly in real need.", "authors": { "1": { "first_name": "Véronique", "last_name": "Aubergé" }, "2": { "first_name": "Yuko", "last_name": "Sasa" }, "3": { "first_name": "Nicolas", "last_name": "Bonnefond" }, "4": { "first_name": "Brigitte", "last_name": "Meillon" }, "5": { "first_name": "Tim", "last_name": "Robert" }, "6": { "first_name": "Jonathan", "last_name": "Rey-Gorrez" }, "7": { "first_name": "Adrien", "last_name": "Schwartz" }, "8": { "first_name": "Leandra", "last_name": "Antunes" }, "9": { "first_name": "Gilles", "last_name": "De Biasi" }, "10": { "first_name": "Sybille", "last_name": "Caffiau" }, "11": { "first_name": "Florian", "last_name": "Nebout" } }, "year": 2014, "uri": "http://iihm.imag.fr/publication/ASB+14a/", "pages": "27-34", "bibtype": "inproceedings", "id": 696, "abbr": "ASB+14a", "address": "Reykjavik, Iceland", "date": "2014-06-10", "document": "http://iihm.imag.fr/publs/2014/2014-ES3LOD-Auberge.pdf", "type": "Autres conférences et colloques avec actes", "booktitle": "Proceedings of the 5th International Workshop on EMOTION, SOCIAL SIGNALS, SENTIMENT & LINKED OPEN DATA (ES3LOD 2014)" }, { "lang": "en", "type_publi": "icolcomlec", "title": "The SWEET_HOME Project: Audio Technology in Smart Homes to improve Well-being and Reliance", "abstract": "The\tSWEET-HOME\tproject\taims\tat\tproviding audio-based interaction technology that lets the user have full control over their home environment, at detecting distress situations and at easing the social inclusion of the elderly and frail population. This paper presents an overview of the project focusing on the implemented techniques for speech and sound recognition as context-aware decision making with uncertainty. A user experiment in a smart home demonstrates the interest of this audio-based technology.", "authors": { "1": { "first_name": "Michel", "last_name": "Vacher" }, "2": { "first_name": "Pedro", "last_name": "Chahuara" }, "3": { "first_name": "Benjamin", "last_name": "Lecouteux" }, "4": { "first_name": "Dan", "last_name": "Istrate" }, "5": { "first_name": "François", "last_name": "Portet" }, "6": { "first_name": "Thierry", "last_name": "Joubert" }, "7": { "first_name": "Mohamed", "last_name": "Sehili" }, "8": { "first_name": "Brigitte", "last_name": "Meillon" }, "9": { "first_name": "Nicolas", "last_name": "Bonnefond" }, "10": { "first_name": "Sébastien", "last_name": "Fabre" }, "11": { "first_name": "Camille", "last_name": "Roux" }, "12": { "first_name": "Sybille", "last_name": "Caffiau" } }, "year": 2013, "uri": "http://iihm.imag.fr/publication/VCL+13a/", "pages": "7298-7301", "bibtype": "inproceedings", "id": 677, "abbr": "VCL+13a", "address": "Osaka, Japan", "date": "2013-07-03", "type": "Conférences internationales de large diffusion avec comité de lecture sur texte complet", "booktitle": "Proceedings of 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'13)" }]);