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- Adolfsson, Caroline, et al.
(författare)
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Collaborative introspection as a methodological tool of reflexivity - from multidisciplinary to transdisciplinary co-production
- 2021
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Ingår i: International Transdisciplinarity Conference (ITD21), 13-17 Sept: Creating spaces and cultivating mindsets for learning and experimentation.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- This paper explores reflexivity through "collaborative introspection" as a methodological tool for transcending a multidisciplinary dialogue and achieving transdisciplinary co-production of knowledge. Reflexivity is argued to be applicable for critically addressing assumptions and ideologies of the research team (Popa et al., 2015), joint problem framing (Pearce & Ejderyan, 2019), experimentation (Popa et al., 2015), or more generally as a focal area to be used for addressing challenges in transdisciplinary projects (Jahn, et al., 2012; Polk, 2015). However, discussions on reflexivity rarely place focus on how a reflexive dialogue can be used to gather empirical material in a collaborative manner, making use of the participating researchers’ subjectivity, personal experiences and understandings of a specific topic. The authors of this text are part of a transdisciplinary research team exploring the role of tourism in multicultural societies. The team involves researchers from the fields of design, marketing, tourism studies, human-computer interaction, and migration studies. In the project we collaborate with each other across disciplines in different case studies. However, we have experienced a tendency to fall back into our disciplinary silos, where we explore the same topic from our own disciplinary lenses. As an attempt to bring ourselves together we decided to go personal. Instead of looking at the role of tourism in multicultural societies from our disciplinary viewpoints, we dug into our memories of acting as tourists ourselves in a reflective session. More specifically, inspired by the tool Tell your story by means of an object (td-net, 2021), we shared and reflected upon our own tourism experiences through our core project concepts, which are diversity, inclusivity and integration. The dialogue that emerged forced us to focus on our research topic not as researchers who are expected to maintain objectivity but rather as individuals allowing ourselves to be subjective. This created a feeling of working ‘together’ instead of ‘with’ each other. The reflections created genuine and honest dialogue highlighting our national, cultural, gender and racial differences. The differences and similarities of our personal experiences depend on the social categories and identities that we are part of. Thus, by bringing our personal stories as empirical material, we created an opportunity to listen to each other beyond our disciplinary boundaries. It made us understand the layers of hierarchy, privilege and disadvantages that we face in our lives as individuals, and to understand instances of inclusion and exclusion in tourism at a deeper level. From our experience, we propose what we term "collaborative introspection" as a reflexive methodological tool for transdisciplinary research and practice. Collaborative introspection exercises challenge the commonly held idea of neutrality. It can be used as a tool for a transdisciplinary group to come together, transform thoughts and develop empathy and ethics in research. References: Jahn, T., Bergmann, M. & Keil, F. (2018). Transdisciplinarity: between mainstreaming and marginalization, Ecological Economics 79 Pearce, B. J., & Ejderyan, O. (2020). Joint problem framing as reflexive practice: honing a transdisciplinary skill. Sustainability science, 15(3), 683-698. Polk, M. (2015). Transdisciplinary co-production: Designing and testing a transdisciplinary research framework for societal problem solving. Futures, 65, 110-122. Popa, F., Guillermin, M., & Dedeurwaerdere, T. (2015). A pragmatist approach to transdisciplinarity in sustainability research: From complex systems theory to reflexive science. Futures, 65, 45-56. Td-net (2021, April 7). Tell your Story by Means of an Object. Retrieved from: https://naturalsciences.ch/co-producing-knowledge-explained/methods/td-net_toolbox/_tell_your_story_by_means_of_an_object_
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| 3. |
- Ahlström, Christer, 1977-, et al.
(författare)
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Eye Tracking in Driver Attention Research : How Gaze Data Interpretations Influence What We Learn
- 2021
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Ingår i: Frontiers in Neuroergonomics. - : Frontiers Media SA. - 2673-6195. ; 2:34
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Tidskriftsartikel (refereegranskat)abstract
- Eye tracking (ET) has been used extensively in driver attention research. Amongst other findings, ET data have increased our knowledge about what drivers look at in different traffic environments and how they distribute their glances when interacting with non-driving related tasks. Eye tracking is also the go-to method when determining driver distraction via glance target classification. At the same time, eye trackers are limited in the sense that they can only objectively measure the gaze direction. To learn more about why drivers look where they do, what information they acquire foveally and peripherally, how the road environment and traffic situation affect their behavior, and how their own expertise influences their actions, it is necessary to go beyond counting the targets that the driver foveates. In this perspective paper, we suggest a glance analysis approach that classifies glances based on their purpose. The main idea is to consider not only the intention behind each glance, but to also account for what is relevant in the surrounding scene, regardless of whether the driver has looked there or not. In essence, the old approaches, unaware as they are of the larger context or motivation behind eye movements, have taken us as far as they can. We propose this more integrative approach to gain a better understanding of the complexity of drivers' informational needs and how they satisfy them in the moment.
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| 4. |
- Ahlström, Christer, et al.
(författare)
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Fit-for-duty test for estimation of drivers sleepiness level: Eye movements improve the sleep/wake predictor
- 2013
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Ingår i: Transportation Research Part C. - : Elsevier. - 0968-090X .- 1879-2359. ; 26, s. 20-32
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Tidskriftsartikel (refereegranskat)abstract
- Driver sleepiness contributes to a considerable proportion of road accidents, and a fit-for-duty test able to measure a drivers sleepiness level might improve traffic safety. The aim of this study was to develop a fit-for-duty test based on eye movement measurements and on the sleep/wake predictor model (SWP, which predicts the sleepiness level) and evaluate the ability to predict severe sleepiness during real road driving. Twenty-four drivers participated in an experimental study which took place partly in the laboratory, where the fit-for-duty data were acquired, and partly on the road, where the drivers sleepiness was assessed. A series of four measurements were conducted over a 24-h period during different stages of sleepiness. Two separate analyses were performed; a variance analysis and a feature selection followed by classification analysis. In the first analysis it was found that the SWP and several eye movement features involving anti-saccades, pro-saccades, smooth pursuit, pupillometry and fixation stability varied significantly with different stages of sleep deprivation. In the second analysis, a feature set was determined based on floating forward selection. The correlation coefficient between a linear combination of the acquired features and subjective sleepiness (Karolinska sleepiness scale, KSS) was found to be R = 0.73 and the correct classification rate of drivers who reached high levels of sleepiness (KSS andgt;= 8) in the subsequent driving session was 82.4% (sensitivity = 80.0%, specificity = 84.2% and AUC = 0.86). Future improvements of a fit-for-duty test should focus on how to account for individual differences and situational/contextual factors in the test, and whether it is possible to maintain high sensitive/specificity with a shorter test that can be used in a real-life environment, e.g. on professional drivers.
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| 6. |
- Andersson, Richard, et al.
(författare)
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One algorithm to rule them all? : An evaluation and discussion of ten eye movement event-detection algorithms
- 2017
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Ingår i: Behavior Research Methods. - : Springer Science and Business Media LLC. - 1554-3528. ; 49:2, s. 616-637
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Tidskriftsartikel (refereegranskat)abstract
- Almost all eye-movement researchers use algorithms to parse raw data and detect distinct types of eye movement events, such as fixations, saccades, and pursuit, and then base their results on these. Surprisingly, these algorithms are rarely evaluated. We evaluated the classifications of ten eye-movement event detection algorithms, on data from an SMI HiSpeed 1250 system, and compared them to manual ratings of two human experts. The evaluation focused on fixations, saccades, and post-saccadic oscillations. The evaluation used both event duration parameters, and sample-by-sample comparisons to rank the algorithms. The resulting event durations varied substantially as a function of what algorithm was used. This evaluation differed from previous evaluations by considering a relatively large set of algorithms, multiple events, and data from both static and dynamic stimuli. The main conclusion is that current detectors of only fixations and saccades work reasonably well for static stimuli, but barely better than chance for dynamic stimuli. Differing results across evaluation methods make it difficult to select one winner for fixation detection. For saccade detection, however, the algorithm by Larsson, Nyström and Stridh (IEEE Transaction on Biomedical Engineering, 60(9):2484–2493,2013) outperforms all algorithms in data from both static and dynamic stimuli. The data also show how improperly selected algorithms applied to dynamic data misestimate fixation and saccade properties.
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| 8. |
- Andersson, Richard, et al.
(författare)
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Sampling frequency and eye-tracking measures : how speed affects durations, latencies, and more
- 2010
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Ingår i: Journal of Eye Movement Research. - : University of Bern. - 1995-8692. ; 3:3:6, s. 1-12
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Tidskriftsartikel (refereegranskat)abstract
- We use simulations to investigate the effect of sampling frequency on common dependent variables in eye-tracking. We identify two large groups of measures that behave differently, but consistently. The effect of sampling frequency on these two groups of measures are explored and simulations are performed to estimate how much data are required to overcome the uncertainty of a limited sampling frequency. Both simulated and real data are used to estimate the temporal uncertainty of data produced by low sampling frequencies. The aim is to provide easy-to-use heuristics for researchers using eye-tracking. For example, we show how to compensate the uncertainty of a low sampling frequency with more data and post-experiment adjustments of measures. These findings have implications primarily for researchers using naturalistic setups where sampling frequencies typically are low.
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