2020
Irizar-Arrieta, Ane; Casado-Mansilla, Diego; Garaizar, Pablo; Lopez-de-Ipiña, Diego; Retegi, Aiur
User perspectives in the design of interactive everyday objects for sustainable behaviour Journal Article
In: International Journal of Human-Computer Studies, vol. 137, no. 102393, 2020.
Abstract | Links | BibTeX | Tags: Design for sustainable behaviour change, Grounded theory, human computer interaction (hci), Internet of things, Persuasive Technology
@article{Irizar-Arrieta2020,
title = {User perspectives in the design of interactive everyday objects for sustainable behaviour},
author = {Ane Irizar-Arrieta and Diego Casado-Mansilla and Pablo Garaizar and Diego Lopez-de-Ipiña and Aiur Retegi},
url = {https://home/learninglabdeust/public_html.sciencedirect.com/science/article/pii/S1071581919301570?via%3Dihub},
doi = {https://doi.org/10.1016/j.ijhcs.2019.102393},
year = {2020},
date = {2020-05-01},
journal = {International Journal of Human-Computer Studies},
volume = {137},
number = {102393},
abstract = {Addressing efficient management of energy has become a central objective due to the scarcity of traditional energy sources and global warming. To cope with this overarching issue, some technological solutions such as Smart Grids, Internet of Things or Demand response are proposed. However, the majority of them overlooks the role of human beings in the equation. Moreover, the very nascent body of research combining human and machine intelligence proposes methods, frameworks, and guidelines which vary depending on the application scenario complicating the selection of gold-standards to ensure seamless cooperation between smart devices and people. Hence, the purpose of this paper is to provide a set of design-hypotheses to devise augmented objects that ally with their users to reduce energy consumption. We expect designers, engineers, makers or even hobbyists in the intersection between technology-enablers (through IoT) and behavioural scientists to benefit from them. To this aim, we describe the results of a long-term study in office-based workplaces, where participants were randomly assigned to different experimental conditions (persuasion, dashboard, and automation) to increase their energy-efficient behaviour. Grounded Theory analysis was applied over qualitative data collected during focus group sessions obtaining five themes around a central category. The resulting themes were linked to design-hypotheses for IoT devices which were then tested through the implementation of a new IoT object also conceived for the workplace.},
keywords = {Design for sustainable behaviour change, Grounded theory, human computer interaction (hci), Internet of things, Persuasive Technology},
pubstate = {published},
tppubtype = {article}
}
Addressing efficient management of energy has become a central objective due to the scarcity of traditional energy sources and global warming. To cope with this overarching issue, some technological solutions such as Smart Grids, Internet of Things or Demand response are proposed. However, the majority of them overlooks the role of human beings in the equation. Moreover, the very nascent body of research combining human and machine intelligence proposes methods, frameworks, and guidelines which vary depending on the application scenario complicating the selection of gold-standards to ensure seamless cooperation between smart devices and people. Hence, the purpose of this paper is to provide a set of design-hypotheses to devise augmented objects that ally with their users to reduce energy consumption. We expect designers, engineers, makers or even hobbyists in the intersection between technology-enablers (through IoT) and behavioural scientists to benefit from them. To this aim, we describe the results of a long-term study in office-based workplaces, where participants were randomly assigned to different experimental conditions (persuasion, dashboard, and automation) to increase their energy-efficient behaviour. Grounded Theory analysis was applied over qualitative data collected during focus group sessions obtaining five themes around a central category. The resulting themes were linked to design-hypotheses for IoT devices which were then tested through the implementation of a new IoT object also conceived for the workplace.
2019
Casado-Mansilla, Diego; Garaizar, Pablo; Lopez-de-Ipiña, Diego
User Involvement Matters: The Side-Effects of Automated Smart Objects in Pro-environmental Behaviour Conference
Proceedings of the 9th International Conference on the Internet of Things, no. 23, 2019.
Abstract | Links | BibTeX | Tags: field studies, HCI design and evaluation methods, human computer interaction (hci), human-centered computing
@conference{Casado-Mansilla2019,
title = {User Involvement Matters: The Side-Effects of Automated Smart Objects in Pro-environmental Behaviour},
author = {Diego Casado-Mansilla and Pablo Garaizar and Diego Lopez-de-Ipiña},
url = {https://dl.acm.org/doi/10.1145/3365871.3365894},
doi = {https://doi.org/10.1145/3365871.3365894},
year = {2019},
date = {2019-10-31},
booktitle = {Proceedings of the 9th International Conference on the Internet of Things},
number = {23},
pages = {1-4},
abstract = {Automation through IoT brings with it a whole new set of societal, cognitive and ethical implications that we barely begin to address. Nonetheless, it is widely considered the panacea to overcoming the majority of global issues by many scholars with few arguments about its side-effects. The case of energy efficiency as an immediate action to overcome the climate change is not different: demand-response, smart grids or occupancy-driven energy management systems by using IoT crowd the current research agenda. Thus, there are scarce studies reporting mid or long term effects of IoT-mediated automation beyond quantitative-based energy reductions (e.g. emotional feelings derived to interact with smart devices, complacency associated with them or perceived value of IoT throughout the time are left apart). Based on the lack of evidence, this article reports the results of a study conducted in 10 workplaces during more than one year where we found that embedding IoT technologies to automate appliances of shared use in favour of comfort to save energy is associated with a reduction of the subjects' confidence in technology as a means to solve all environmental current problems. Moreover, it was found that preventing people from the control of these smart appliances reduce the willingness of people to act in favor of the environment.},
keywords = {field studies, HCI design and evaluation methods, human computer interaction (hci), human-centered computing},
pubstate = {published},
tppubtype = {conference}
}
Automation through IoT brings with it a whole new set of societal, cognitive and ethical implications that we barely begin to address. Nonetheless, it is widely considered the panacea to overcoming the majority of global issues by many scholars with few arguments about its side-effects. The case of energy efficiency as an immediate action to overcome the climate change is not different: demand-response, smart grids or occupancy-driven energy management systems by using IoT crowd the current research agenda. Thus, there are scarce studies reporting mid or long term effects of IoT-mediated automation beyond quantitative-based energy reductions (e.g. emotional feelings derived to interact with smart devices, complacency associated with them or perceived value of IoT throughout the time are left apart). Based on the lack of evidence, this article reports the results of a study conducted in 10 workplaces during more than one year where we found that embedding IoT technologies to automate appliances of shared use in favour of comfort to save energy is associated with a reduction of the subjects' confidence in technology as a means to solve all environmental current problems. Moreover, it was found that preventing people from the control of these smart appliances reduce the willingness of people to act in favor of the environment.
2017
Garaizar, Pablo; Moreno-Fernandez, MM.; Blanco, F.; Matute, Helena
Fighting phishing: Improving users’ awareness about electronic fraud by discriminative training Journal Article
In: Computers in Human Behavior, vol. 69, pp. 421-436, 2017.
Abstract | Links | BibTeX | Tags: human computer interaction (hci), internet security, phisihing
@article{Garaizar2017,
title = {Fighting phishing: Improving users’ awareness about electronic fraud by discriminative training},
author = {Pablo Garaizar and MM. Moreno-Fernandez and F. Blanco and Helena Matute },
url = {https://home/learninglabdeust/public_html.sciencedirect.com/science/article/pii/S074756321630872X},
doi = {10.1016/j.chb.2016.12.044},
year = {2017},
date = {2017-04-01},
booktitle = {Computers in Human Behavior},
journal = {Computers in Human Behavior},
volume = {69},
pages = {421-436},
abstract = {Phishing is a form of electronic fraud in which attackers attempt to steal sensitive information by posing as a legitimate entity. To maintain the attack unnoticed, phishers typically use fake sites that accurately mimic real ones. However, there are usually subtle visual discrepancies between these spoof sites and their legitimate counterparts that may help Internet users to identify their deceptive nature. Among all the potential visual cues, we choose to focus on typography, because it is often hard for phishers to use exactly the same font as in the original website. Thus, Experiment 1 assessed the effectiveness of visual discrimination training to help people detect typographical discrepancies between fake and legitimate websites. Results showed higher sensitivity to differences when undergraduate students were previously trained with easier versions of the discrimination task (i.e., involving more noticeable differences in typography) than when they were trained with the difficult target discrimination from the start (easy-to-hard effect). These results were replicated with a broader and more representative sample of anonymous Internet users in Experiment 2. Implications for the design of strategies to prevent electronic fraud are discussed.
},
keywords = {human computer interaction (hci), internet security, phisihing},
pubstate = {published},
tppubtype = {article}
}
Phishing is a form of electronic fraud in which attackers attempt to steal sensitive information by posing as a legitimate entity. To maintain the attack unnoticed, phishers typically use fake sites that accurately mimic real ones. However, there are usually subtle visual discrepancies between these spoof sites and their legitimate counterparts that may help Internet users to identify their deceptive nature. Among all the potential visual cues, we choose to focus on typography, because it is often hard for phishers to use exactly the same font as in the original website. Thus, Experiment 1 assessed the effectiveness of visual discrimination training to help people detect typographical discrepancies between fake and legitimate websites. Results showed higher sensitivity to differences when undergraduate students were previously trained with easier versions of the discrimination task (i.e., involving more noticeable differences in typography) than when they were trained with the difficult target discrimination from the start (easy-to-hard effect). These results were replicated with a broader and more representative sample of anonymous Internet users in Experiment 2. Implications for the design of strategies to prevent electronic fraud are discussed.
2016
Guenaga, Mariluz; Menchaca, Iratxe; Solabarrieta, J.
Using learning analytics to assess project management skills on engineering degree courses Journal Article
In: Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality, pp. 369-376, 2016, ISBN: 978-1-4503-4747-1.
Abstract | Links | BibTeX | Tags: Collaborative Learning, Computational Science and Engineering Education, computing education programs, data analytics, database management system engines, decision support systems, Engineering Education, Formative Assessment, human computer interaction (hci), information systems applications, interaction paradigms
@article{Guenaga2016b,
title = {Using learning analytics to assess project management skills on engineering degree courses},
author = {Mariluz Guenaga and Iratxe Menchaca and J. Solabarrieta},
editor = {Francisco José García-Peñalvo},
url = {https://dl.acm.org/citation.cfm?doid=3012430.3012542},
doi = {10.1145/3012430.3012542},
isbn = {978-1-4503-4747-1},
year = {2016},
date = {2016-11-02},
journal = {Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality},
pages = {369-376},
abstract = {Learning analytics is a field of study that has been evolving since the outset in attempting to meet various needs. The use of learning analytics techniques has helped us ascertain the level of students' participation and their degree of satisfaction in order to learn how they use resources or identify students at risk. Research currently focuses on applying these techniques to find out how the student learns and to improve teaching/learning processes. A key aspect in improving these processes is the assessment of general competences, which constitutes key learning in engineering students and has thus been identified as a need that can be met by learning analytics. An experiment was conducted on 93 students from different engineering groups at the University of Deusto with a view to assessing the extent to which students have developed the project management competence, using learning analytics techniques. The model designed for analysis is described in this paper, in addition to the methodology and research carried out. Results have shown that by combining an automatic analysis and exploratory learning analytics techniques, conclusions can effectively be drawn about the extent to which a given student has developed a competence based on data obtained via use of a technological tool.},
keywords = {Collaborative Learning, Computational Science and Engineering Education, computing education programs, data analytics, database management system engines, decision support systems, Engineering Education, Formative Assessment, human computer interaction (hci), information systems applications, interaction paradigms},
pubstate = {published},
tppubtype = {article}
}
Learning analytics is a field of study that has been evolving since the outset in attempting to meet various needs. The use of learning analytics techniques has helped us ascertain the level of students' participation and their degree of satisfaction in order to learn how they use resources or identify students at risk. Research currently focuses on applying these techniques to find out how the student learns and to improve teaching/learning processes. A key aspect in improving these processes is the assessment of general competences, which constitutes key learning in engineering students and has thus been identified as a need that can be met by learning analytics. An experiment was conducted on 93 students from different engineering groups at the University of Deusto with a view to assessing the extent to which students have developed the project management competence, using learning analytics techniques. The model designed for analysis is described in this paper, in addition to the methodology and research carried out. Results have shown that by combining an automatic analysis and exploratory learning analytics techniques, conclusions can effectively be drawn about the extent to which a given student has developed a competence based on data obtained via use of a technological tool.
2011
Guenaga, Mariluz; Eguiluz, Andoni; Jamardo, Iker
Working WITH vs. Working ON Audiovisual Educational Content Conference
2011 IEEE 11th International Conference on Advanced Learning Technologies, IEEE, Athens, GA, USA, 2011, ISSN: 2161-377X.
Abstract | Links | BibTeX | Tags: audio-visual systems, audiovisual educational content, educational aids, educational technology, human computer interaction (hci), interactive systems
@conference{Guenaga2011,
title = {Working WITH vs. Working ON Audiovisual Educational Content},
author = {Mariluz Guenaga and Andoni Eguiluz and Iker Jamardo},
doi = {10.1109/ICALT.2011.179},
issn = {2161-377X},
year = {2011},
date = {2011-07-06},
booktitle = {2011 IEEE 11th International Conference on Advanced Learning Technologies},
pages = {593-595},
publisher = {IEEE},
address = {Athens, GA, USA},
abstract = {We propose the integration of audiovisual content in the whole learning process. Audiovisual not only as a type of content to which the student is passive and needs additional resources to process, comment or work with it, but an interactive material to work on (as we have done traditionally with paper). This is made thanks to ACCEedu, a tool that proposes interactive educational activities based on audiovisual material. It allows tagging, subtitling, audio describing in short, it enriches audiovisual content with teacher's and student's contributions.},
keywords = {audio-visual systems, audiovisual educational content, educational aids, educational technology, human computer interaction (hci), interactive systems},
pubstate = {published},
tppubtype = {conference}
}
We propose the integration of audiovisual content in the whole learning process. Audiovisual not only as a type of content to which the student is passive and needs additional resources to process, comment or work with it, but an interactive material to work on (as we have done traditionally with paper). This is made thanks to ACCEedu, a tool that proposes interactive educational activities based on audiovisual material. It allows tagging, subtitling, audio describing in short, it enriches audiovisual content with teacher's and student's contributions.