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\n
\n  \n 2022\n \n \n (2)\n \n \n
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\n \n \n
\n \n\n \n \n \n \n \n \n A Comparative User Study of Human Predictions in Algorithm-Supported Recidivism Risk Assessment.\n \n \n \n \n\n\n \n Portela, M.; Castillo, C.; Tolan, S.; Karimi-Haghighi, M.; and Pueyo, A., A.\n\n\n \n\n\n\n , 1(1): 39-40. 2022.\n \n\n\n\n
\n\n\n\n \n \n \"AWebsite\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {A Comparative User Study of Human Predictions in Algorithm-Supported Recidivism Risk Assessment},\n type = {article},\n year = {2022},\n pages = {39-40},\n volume = {1},\n websites = {http://arxiv.org/abs/2201.11080},\n publisher = {Association for Computing Machinery},\n day = {26},\n id = {7a2954ef-64a3-3147-bcb1-644e85ffc5ca},\n created = {2022-01-27T12:10:49.292Z},\n file_attached = {false},\n profile_id = {0b6c9f17-3e02-37a7-a514-ea7e99e39e3e},\n last_modified = {2022-02-14T13:09:33.029Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {In this paper, we study the effects of using an algorithm-based risk assessment instrument to support the prediction of risk of criminalrecidivism. The instrument we use in our experiments is a machine learning version ofRiskEval(name changed for double-blindreview), which is the main risk assessment instrument used by the Justice Department ofCountry(omitted for double-blind review).The task is to predict whether a person who has been released from prison will commit a new crime, leading to re-incarceration,within the next two years. We measure, among other variables, the accuracy of human predictions with and without algorithmicsupport. This user study is done with (1)generalparticipants from diverse backgrounds recruited through a crowdsourcing platform,(2)targetedparticipants who are students and practitioners of data science, criminology, or social work and professionals who workwithRiskEval. Among other findings, we observe that algorithmic support systematically leads to more accurate predictions fromall participants, but that statistically significant gains are only seen in the performance of targeted participants with respect to thatof crowdsourced participants. We also run focus groups with participants of the targeted study to interpret the quantitative results,including people who useRiskEvalin a professional capacity. Among other comments, professional participants indicate that theywould not foresee using a fully-automated system in criminal risk assessment, but do consider it valuable for training, standardization,and to fine-tune or double-check their predictions on particularly difficult cases.},\n bibtype = {article},\n author = {Portela, Manuel and Castillo, Carlos and Tolan, SongÜl and Karimi-Haghighi, Marzieh and Pueyo, Antonio Andres},\n number = {1}\n}
\n
\n\n\n
\n In this paper, we study the effects of using an algorithm-based risk assessment instrument to support the prediction of risk of criminalrecidivism. The instrument we use in our experiments is a machine learning version ofRiskEval(name changed for double-blindreview), which is the main risk assessment instrument used by the Justice Department ofCountry(omitted for double-blind review).The task is to predict whether a person who has been released from prison will commit a new crime, leading to re-incarceration,within the next two years. We measure, among other variables, the accuracy of human predictions with and without algorithmicsupport. This user study is done with (1)generalparticipants from diverse backgrounds recruited through a crowdsourcing platform,(2)targetedparticipants who are students and practitioners of data science, criminology, or social work and professionals who workwithRiskEval. Among other findings, we observe that algorithmic support systematically leads to more accurate predictions fromall participants, but that statistically significant gains are only seen in the performance of targeted participants with respect to thatof crowdsourced participants. We also run focus groups with participants of the targeted study to interpret the quantitative results,including people who useRiskEvalin a professional capacity. Among other comments, professional participants indicate that theywould not foresee using a fully-automated system in criminal risk assessment, but do consider it valuable for training, standardization,and to fine-tune or double-check their predictions on particularly difficult cases.\n
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\n \n\n \n \n \n \n \n \n Human Response to an AI-Based Decision Support System: A User Study on the Effects of Accuracy and Bias.\n \n \n \n \n\n\n \n Solans, D.; Beretta, A.; Portela, M.; Castillo, C.; and Monreale, A.\n\n\n \n\n\n\n Volume 1 Association for Computing Machinery, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"HumanWebsite\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@book{\n title = {Human Response to an AI-Based Decision Support System: A User Study on the Effects of Accuracy and Bias},\n type = {book},\n year = {2022},\n source = {Proceedings of ACM Conference (Conference'17)},\n keywords = {Human-AI interaction, AI,a variety of real-world,ai,creasingly being deployed in,decision support systems based,human-ai interaction,in-,on artificial intelligence are,scenarios},\n volume = {1},\n issue = {1},\n websites = {http://arxiv.org/abs/2203.15514},\n publisher = {Association for Computing Machinery},\n id = {2c2d3637-3483-3135-b2a7-1f710c7a22ab},\n created = {2022-03-31T05:39:38.345Z},\n file_attached = {false},\n profile_id = {0b6c9f17-3e02-37a7-a514-ea7e99e39e3e},\n last_modified = {2022-03-31T05:39:38.345Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {Artificial Intelligence (AI) is increasingly used to build Decision Support Systems (DSS) across many domains. This paper describes a series of experiments designed to observe human response to different characteristics of a DSS such as accuracy and bias, particularly the extent to which participants rely on the DSS, and the performance they achieve. In our experiments, participants play a simple online game inspired by so-called "wildcat" (i.e., exploratory) drilling for oil. The landscape has two layers: a visible layer describing the costs (terrain), and a hidden layer describing the reward (oil yield). Participants in the control group play the game without receiving any assistance, while in treatment groups they are assisted by a DSS suggesting places to drill. For certain treatments, the DSS does not consider costs, but only rewards, which introduces a bias that is observable by users. Between subjects, we vary the accuracy and bias of the DSS, and observe the participants' total score, time to completion, the extent to which they follow or ignore suggestions. We also measure the acceptability of the DSS in an exit survey. Our results show that participants tend to score better with the DSS, that the score increase is due to users following the DSS advice, and related to the difficulty of the game and the accuracy of the DSS. We observe that this setting elicits mostly rational behavior from participants, who place a moderate amount of trust in the DSS and show neither algorithmic aversion (under-reliance) nor automation bias (over-reliance).However, their stated willingness to accept the DSS in the exit survey seems less sensitive to the accuracy of the DSS than their behavior, suggesting that users are only partially aware of the (lack of) accuracy of the DSS.},\n bibtype = {book},\n author = {Solans, David and Beretta, Andrea and Portela, Manuel and Castillo, Carlos and Monreale, Anna}\n}
\n
\n\n\n
\n Artificial Intelligence (AI) is increasingly used to build Decision Support Systems (DSS) across many domains. This paper describes a series of experiments designed to observe human response to different characteristics of a DSS such as accuracy and bias, particularly the extent to which participants rely on the DSS, and the performance they achieve. In our experiments, participants play a simple online game inspired by so-called \"wildcat\" (i.e., exploratory) drilling for oil. The landscape has two layers: a visible layer describing the costs (terrain), and a hidden layer describing the reward (oil yield). Participants in the control group play the game without receiving any assistance, while in treatment groups they are assisted by a DSS suggesting places to drill. For certain treatments, the DSS does not consider costs, but only rewards, which introduces a bias that is observable by users. Between subjects, we vary the accuracy and bias of the DSS, and observe the participants' total score, time to completion, the extent to which they follow or ignore suggestions. We also measure the acceptability of the DSS in an exit survey. Our results show that participants tend to score better with the DSS, that the score increase is due to users following the DSS advice, and related to the difficulty of the game and the accuracy of the DSS. We observe that this setting elicits mostly rational behavior from participants, who place a moderate amount of trust in the DSS and show neither algorithmic aversion (under-reliance) nor automation bias (over-reliance).However, their stated willingness to accept the DSS in the exit survey seems less sensitive to the accuracy of the DSS than their behavior, suggesting that users are only partially aware of the (lack of) accuracy of the DSS.\n
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\n  \n 2021\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Interfacing participation in citizen science projects with conversational agents.\n \n \n \n \n\n\n \n Portela, M.\n\n\n \n\n\n\n Human Computation Journal, 8(2): 33-53. 7 2021.\n \n\n\n\n
\n\n\n\n \n \n \"InterfacingWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {Interfacing participation in citizen science projects with conversational agents},\n type = {article},\n year = {2021},\n pages = {33-53},\n volume = {8},\n websites = {https://hcjournal.org/index.php/jhc/article/view/114},\n month = {7},\n day = {27},\n id = {fd4f0661-1cb6-3e3c-b88d-48048db5494f},\n created = {2021-07-29T13:25:09.754Z},\n file_attached = {false},\n profile_id = {0b6c9f17-3e02-37a7-a514-ea7e99e39e3e},\n last_modified = {2022-04-09T18:02:13.217Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n citation_key = {Portela2021},\n private_publication = {false},\n abstract = {This paper assesses the use of conversational agents (chatbots) as an interface to enhance communication with participants in citizen science projects. After developing a study of the engagement and motivations to interact with chatbots, we explored our results. We based our analysis on the current needs exposed in citizen science literature to assess the opportunities. We found that chatbots are great communication platforms that can help to engage participants as an all-in-one interface. Chatbots can benefit projects in reducing the need for developing an exclusive app while it can be deployed on several platforms. Finally, we establish design suggestions to help citizen science practitioners to incorporate such platforms to new projects. We encourage the development of more advanced interfaces through the incorporation of Machine Learning to several processes.},\n bibtype = {article},\n author = {Portela, Manuel},\n doi = {10.15346/hc.v8i2.114},\n journal = {Human Computation Journal},\n number = {2}\n}
\n
\n\n\n
\n This paper assesses the use of conversational agents (chatbots) as an interface to enhance communication with participants in citizen science projects. After developing a study of the engagement and motivations to interact with chatbots, we explored our results. We based our analysis on the current needs exposed in citizen science literature to assess the opportunities. We found that chatbots are great communication platforms that can help to engage participants as an all-in-one interface. Chatbots can benefit projects in reducing the need for developing an exclusive app while it can be deployed on several platforms. Finally, we establish design suggestions to help citizen science practitioners to incorporate such platforms to new projects. We encourage the development of more advanced interfaces through the incorporation of Machine Learning to several processes.\n
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\n  \n 2020\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Citizen science in the social sciences and humanities: the power of interdisciplinarity.\n \n \n \n \n\n\n \n Tauginienė, L.; Butkevičienė, E.; Vohland, K.; Heinisch, B.; Daskolia, M.; Suškevičs, M.; Portela, M.; Balázs, B.; and Prūse, B.\n\n\n \n\n\n\n Palgrave Communications, 6(1): 89. 12 2020.\n \n\n\n\n
\n\n\n\n \n \n \"CitizenPaper\n  \n \n \n \"CitizenWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {Citizen science in the social sciences and humanities: the power of interdisciplinarity},\n type = {article},\n year = {2020},\n pages = {89},\n volume = {6},\n websites = {http://www.nature.com/articles/s41599-020-0471-y},\n month = {12},\n day = {7},\n id = {5f9da606-1fa7-3fe5-879e-ed2d95402215},\n created = {2020-05-08T05:31:05.997Z},\n file_attached = {true},\n profile_id = {0b6c9f17-3e02-37a7-a514-ea7e99e39e3e},\n last_modified = {2021-09-22T20:57:23.530Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Tauginiene2020},\n folder_uuids = {5530107d-cecc-4644-ad98-f7b0dc230aa9},\n private_publication = {false},\n bibtype = {article},\n author = {Tauginienė, Loreta and Butkevičienė, Eglė and Vohland, Katrin and Heinisch, Barbara and Daskolia, Maria and Suškevičs, Monika and Portela, Manuel and Balázs, Bálint and Prūse, Baiba},\n doi = {10.1057/s41599-020-0471-y},\n journal = {Palgrave Communications},\n number = {1}\n}
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\n \n\n \n \n \n \n \n Affective Technology, Enchanting Spaces and Cultivating Places.\n \n \n \n\n\n \n Portela, M.; and Granell-Canut, C.\n\n\n \n\n\n\n Shaping Smart for Better Cities, Rethinking and Shaping Relationships between Urban Space and Digital Technologies, pages 157-176. Aurigi, A.; and Odendaal, N., editor(s). Academic Press, 2020.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inbook{\n type = {inbook},\n year = {2020},\n pages = {157-176},\n publisher = {Academic Press},\n id = {f238c3d4-36ea-392b-bc27-23d84c1731f5},\n created = {2020-09-21T07:35:14.980Z},\n file_attached = {false},\n profile_id = {0b6c9f17-3e02-37a7-a514-ea7e99e39e3e},\n last_modified = {2022-04-09T18:02:13.259Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Portela2020},\n private_publication = {false},\n bibtype = {inbook},\n author = {Portela, Manuel and Granell-Canut, Carlos},\n editor = {Aurigi, Alessandro and Odendaal, Nancy},\n doi = {10.1016/C2018-0-04503-X},\n chapter = {Affective Technology, Enchanting Spaces and Cultivating Places},\n title = {Shaping Smart for Better Cities, Rethinking and Shaping Relationships between Urban Space and Digital Technologies}\n}
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\n  \n 2018\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Looking for “ in-between ” Places.\n \n \n \n \n\n\n \n Portela, M.; Acedo, A.; and Granell-canut, C.\n\n\n \n\n\n\n Media Theory Journal, 2(1): 108-133. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"LookingPaper\n  \n \n \n \"LookingWebsite\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{\n title = {Looking for “ in-between ” Places},\n type = {article},\n year = {2018},\n keywords = {cartography,in-between places,mediation,place,sense of place,spatial memories},\n pages = {108-133},\n volume = {2},\n websites = {http://mediatheoryjournal.org/portela-et-al-looking-for-in-between-places/,http://hdl.handle.net/10234/176248},\n id = {ec73c30d-16d3-32b5-a26d-560db5e3e313},\n created = {2018-05-27T09:19:18.382Z},\n file_attached = {true},\n profile_id = {0b6c9f17-3e02-37a7-a514-ea7e99e39e3e},\n last_modified = {2018-09-25T16:02:36.939Z},\n read = {true},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Portela2018},\n private_publication = {false},\n bibtype = {article},\n author = {Portela, Manuel and Acedo, Albert and Granell-canut, Carlos},\n journal = {Media Theory Journal},\n number = {1}\n}
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\n \n\n \n \n \n \n \n \n Geographies of Empathy: Affective reconfigurations of Cities, Objects & Places.\n \n \n \n \n\n\n \n Portela, M.\n\n\n \n\n\n\n Ph.D. Thesis, 11 2018.\n \n\n\n\n
\n\n\n\n \n \n \"GeographiesPaper\n  \n \n \n \"GeographiesWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@phdthesis{\n title = {Geographies of Empathy: Affective reconfigurations of Cities, Objects & Places},\n type = {phdthesis},\n year = {2018},\n pages = {234},\n websites = {http://hdl.handle.net/10803/664137},\n month = {11},\n day = {21},\n city = {Castelló de la Plana},\n institution = {Universitat Jaume I},\n department = {Institut Universitari de Noves Tecnologies de la Imatge},\n id = {cb620979-d827-3d2c-aaaa-d8788c602972},\n created = {2019-09-07T09:23:08.288Z},\n file_attached = {true},\n profile_id = {0b6c9f17-3e02-37a7-a514-ea7e99e39e3e},\n last_modified = {2021-09-22T20:57:24.076Z},\n read = {true},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Portela2018},\n private_publication = {false},\n bibtype = {phdthesis},\n author = {Portela, Manuel},\n doi = {10.6035/14123.2018.683892}\n}
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\n  \n 2017\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n \n The role of Participatory Social Mapping in the struggle of the territory and the right to the city.\n \n \n \n \n\n\n \n Portela, M.; and Errandonea, L., P.\n\n\n \n\n\n\n In Proceedings of the 8th International Conference on Communities and Technologies - C&T '17, pages 100-104, 2017. ACM Press\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n \n \"TheWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{\n title = {The role of Participatory Social Mapping in the struggle of the territory and the right to the city},\n type = {inproceedings},\n year = {2017},\n keywords = {gis,participatory cartography,right to the city,social mapping},\n pages = {100-104},\n websites = {http://dl.acm.org/citation.cfm?doid=3083671.3083676},\n publisher = {ACM Press},\n city = {New York, New York, USA},\n id = {1d67acfb-b382-36c2-aeca-8ec906b633ff},\n created = {2017-05-19T15:21:33.840Z},\n file_attached = {true},\n profile_id = {0b6c9f17-3e02-37a7-a514-ea7e99e39e3e},\n last_modified = {2018-05-27T09:19:18.683Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n citation_key = {Portela2017a},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Portela, Manuel and Errandonea, Lucía Paz},\n doi = {10.1145/3083671.3083676},\n booktitle = {Proceedings of the 8th International Conference on Communities and Technologies - C&T '17}\n}
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\n \n\n \n \n \n \n \n \n A new friend in our Smartphone ? Observing Interactions with Chatbots in the search of emotional engagement.\n \n \n \n \n\n\n \n Portela, M.; and Granell-canut, C.\n\n\n \n\n\n\n In Proceedings of Interacción ’17, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{\n title = {A new friend in our Smartphone ? Observing Interactions with Chatbots in the search of emotional engagement},\n type = {inproceedings},\n year = {2017},\n keywords = {acm reference format,conversational agents,emotional engagement,empathic relations,mixed-method analysis},\n id = {bc49d933-3ec7-352b-b44a-c3480476316b},\n created = {2017-07-24T11:15:01.321Z},\n file_attached = {true},\n profile_id = {0b6c9f17-3e02-37a7-a514-ea7e99e39e3e},\n last_modified = {2020-03-05T13:42:29.714Z},\n read = {true},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n citation_key = {Portela2017},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Portela, Manuel and Granell-canut, Carlos},\n doi = {10.1145/3123818.3123826},\n booktitle = {Proceedings of Interacción ’17}\n}
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\n \n\n \n \n \n \n \n \n A call to De-Familiarize with Everyday Objects: Understanding Modes of Ordering and Politics of Interaction.\n \n \n \n \n\n\n \n Portela, M.; and Granell-Canut, C.\n\n\n \n\n\n\n 8th International conference on Communities and Technologies 2017 conference, Doctoral Consortium. Troyes, France, 26 June 2017. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{\n title = {A call to De-Familiarize with Everyday Objects: Understanding Modes of Ordering and Politics of Interaction},\n type = {article},\n year = {2017},\n id = {84c875b0-9afc-33eb-9a97-86face0cbbbe},\n created = {2018-06-01T10:22:16.004Z},\n file_attached = {true},\n profile_id = {0b6c9f17-3e02-37a7-a514-ea7e99e39e3e},\n last_modified = {2018-06-01T10:22:20.050Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {PortelaEmpathy2017},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Portela, Manuel and Granell-Canut, Carlos},\n journal = {8th International conference on Communities and Technologies 2017 conference, Doctoral Consortium. Troyes, France, 26 June 2017}\n}
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\n \n\n \n \n \n \n \n \n Interfaces tecno-urbanas. Un análisis crítico sobre los retos socio-técnicos de las representaciones del espacio urbano.\n \n \n \n \n\n\n \n Portela, M.\n\n\n \n\n\n\n Ph.D. Thesis, 2017.\n \n\n\n\n
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@phdthesis{\n title = {Interfaces tecno-urbanas. Un análisis crítico sobre los retos socio-técnicos de las representaciones del espacio urbano.},\n type = {phdthesis},\n year = {2017},\n websites = {https://doi.org/10.5281/zenodo.1122631},\n institution = {Universidad Nacional General Sarmiento},\n id = {3b0b8feb-be36-36e9-b44b-f2963e4a43de},\n created = {2018-06-01T10:22:16.045Z},\n file_attached = {false},\n profile_id = {0b6c9f17-3e02-37a7-a514-ea7e99e39e3e},\n last_modified = {2018-06-01T10:22:16.045Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {manuel_portela_2017_1122631},\n source_type = {phdthesis},\n private_publication = {false},\n bibtype = {phdthesis},\n author = {Portela, Manuel},\n doi = {10.5281/zenodo.1122631}\n}
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\n  \n 2016\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Methods to Observe and Evaluate Interactions with Everyday Context-Aware Objects.\n \n \n \n \n\n\n \n Portela, M.; and Granell-Canut, C.\n\n\n \n\n\n\n In Ubiquitous Computing and Ambient Intelligence, pages 385-392, 2016. Springer\n \n\n\n\n
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@inproceedings{\n title = {Methods to Observe and Evaluate Interactions with Everyday Context-Aware Objects},\n type = {inproceedings},\n year = {2016},\n keywords = {affective relations,computing,context-awareness,conversational agents,empathy,hci,heritage,socio-technical assemblages,urban},\n pages = {385-392},\n issue = {1},\n websites = {http://www.springer.com/us/book/9783319487458,http://link.springer.com/10.1007/978-3-319-48746-5_39},\n publisher = {Springer},\n id = {becb19f1-d39d-3d06-aa3e-3857404ec3a1},\n created = {2016-10-18T07:01:38.000Z},\n file_attached = {true},\n profile_id = {0b6c9f17-3e02-37a7-a514-ea7e99e39e3e},\n last_modified = {2022-04-09T18:02:13.215Z},\n read = {true},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Portela2016},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Portela, Manuel and Granell-Canut, Carlos},\n doi = {10.1007/978-3-319-48746-5_39},\n booktitle = {Ubiquitous Computing and Ambient Intelligence}\n}
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