Applications are invited from candidates who possess the necessary qualifications in order to fill one (1) Research Fellow (Postgraduate Associate / Assistant Researcher B) position at the Department of Communication and Internet Studies for the research project UPHIT in the field of “Human – Computer Interaction – mHealth”.
A software toolkit for the study of technology-mediated nudging in health and wellbeing in the context of smartwatches
To a large extend, self-monitoring technologies in health and wellbeing nowadays rest on the assumption that knowledge leads to behavior change. We assume, for instance, that making people aware of how much, when, and where they walk, will lead them to uncover patterns in their behaviors and take actions to increase their physical activity. In fact, a recent study found that a stunning 94% of research prototypes have focused on the so-called ‘rational mind’. This reliance on the rational mind, and on self-monitoring as the path to behavior change, however, has side effects. For instance, high rates of abandonment of physical activity trackers have questioned the efficacy of these tools over the long term, while a recent study found that self-monitoring can even have adverse effects on one’s enjoyment of walking, psychological wellbeing, and consequently on her continued likelihood of walking. Dual process theory suggests that an alternative, and perhaps more effective way to influence individuals’ behaviors is to tap on their ‘automatic mind’. One such popular intervention is the strategic placement of road sign stripes closer and closer together as drivers approach a steep curve, making them believe that they are over-speeding. Such a simple intervention has been found to decrease car accidents by 36%. Similarly, in our own work, we have found a simple glanceable display of how inactive one was over the past hour to have tremendous impact on individuals’ later behavior. In fact, we found that, upon checking the feedback, if one saw that she walked ten (or less) minutes over the past hour, she had 77% chance of initiating a new walk over the next five minutes. Such interventions influence behavior subtly and without much cognitive attention. As a result, they provide the premise of making little steps towards a healthier lifestyle and of minimizing the adverse effects of extensive self-monitoring.
However, we currently have limited knowledge as to how to design for the ‘automatic mind’, or what Richard Thaler and Cass Sustein call ‘nudging’. To develop a substantial body of knowledge on technology-mediated nudging, we currently lack appropriate methods. The primary goal of this project is to develop a software toolkit and methodological framework for the delivery of nudging interventions. The toolkit will be built for Android Wear and iOS and will be built as an extensible framework supporting the design, administration and study of nudging interventions by non-technical experts such as behavioral scientists.
More information about the Lab: http://persuasive.cut.ac.cy
- Gouveia, R., Pereira, F., Karapanos, E., Munson, S. A., & Hassenzahl, M. (2016). Exploring the design space of glanceable feedback for physical activity trackers. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 144-155). ACM.
- Gouveia, R., Karapanos, E., & Hassenzahl, M. (2015). How do we engage with activity trackers?: a longitudinal study of Habito. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 1305-1316). ACM (Best paper honorable mention)
Applicants should have:
- An undergraduate degree from a recognized university in Computer Science or Engineering
- A graduate degree in Computer Science or Engineering will be an advantage
- Experience or strong interest in Human-Computer Interaction
- Programming experience in a high-level programming language
- Proven experience on Android and/or iOS development will be an advantage
- Very good knowledge of English (spoken and written)
- Organizational skills
- Very good knowledge of English (spoken and written)
- Prior research experience in academic or industrial settings will be an advantage
The successful applicant is also expected to enroll for PhD studies at the Cyprus University of Technology. Applicants are encouraged to concurrently apply as doctoral candidates at Cyprus University of Technology for admission in fall 2017 by April 7, 2017.
Relevant information can be found at: http://www.cut.ac.cy/studies/news/announcement/?contentId=133831&languageId=2
The appointment will be for a period of six (6) months, is expected to begin in June 2017, with the prospect of renewal until the end of the project. The monthly gross salary for the position will be €1.113,09. The cost of 13th salary has been proportionally incorporated in the monthly remuneration. There will be no provision for medical insurance.
Applicants are requested to submit the following:
- A cover letter with which they will express their interest for the job opening and state clearly the date they can take over responsibilities
- A summary of their research experience and future research goals (up to 2 pages)
- A complete curriculum vitae (in English or/and in Greek)
- Proof of their qualifications (including a copy of their degree certificate and analytical transcripts)
- The names and contact information of two people who are willing to provide references
- Complete contact information
Applications must be sent via email at: HRecruits@cut.ac.cy with the subject: «Research Fellow (Postgraduate Associate – Researcher B) Position – Department of Communication and Internet Studies in the field of ‘Human-Computer Interaction -mHealth”, no later than Friday 28 April 2017, which is the deadline for the submission of the applications.
– The University adopts an equal opportunity policy at recruitment and the subsequent career stages and encourages both genders to submit an application for all levels of Academic and Administrative Staff.
– The University does not discriminate in any way on the basis of gender, religion or belief, ethnic, national or social origin, age, physical ability, marital status and sexual orientation.