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Eriksson, Fredrik
Publications (6 of 6) Show all publications
Hemeren, P., Johannesson, M., Lebram, M. & Eriksson, F. (2021). Biological Motion Indicators for the Detection of Cyclists at Night. In: Erik Billing; Andreas Kalckert (Ed.), Proceedings of the 16th SweCog Conference: . Paper presented at SweCog 2021, the 16th SweCog conference, virtual from Skövde, Sweden, November 10-12, 2021 (pp. 29-31). Skövde: University of Skövde
Open this publication in new window or tab >>Biological Motion Indicators for the Detection of Cyclists at Night
2021 (English)In: Proceedings of the 16th SweCog Conference / [ed] Erik Billing; Andreas Kalckert, Skövde: University of Skövde , 2021, p. 29-31Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Skövde: University of Skövde, 2021
Series
SUSI, ISSN 1653-2325 ; 2021:2
Keywords
drivers, cyclists, reflectors, detection, biological motion, eye movements
National Category
Interaction Technologies Psychology (excluding Applied Psychology)
Research subject
Interaction Lab (ILAB); Media, Technology and Culture (MTEC)
Identifiers
urn:nbn:se:his:diva-20938 (URN)978-91-983667-8-5 (ISBN)
Conference
SweCog 2021, the 16th SweCog conference, virtual from Skövde, Sweden, November 10-12, 2021
Note

paul.hemeren@his.se

Available from: 2022-02-24 Created: 2022-02-24 Last updated: 2022-05-12Bibliographically approved
Kävrestad, J., Eriksson, F. & Nohlberg, M. (2019). Understanding passwords – a taxonomy of password creation strategies. Information and Computer Security, 27(3), 453-467
Open this publication in new window or tab >>Understanding passwords – a taxonomy of password creation strategies
2019 (English)In: Information and Computer Security, E-ISSN 2056-4961, Vol. 27, no 3, p. 453-467Article in journal (Refereed) Published
Abstract [en]

Purpose Using authentication to secure data and accounts has grown to be a natural part of computing. Even if several authentication methods are in existence, using passwords remains the most common type of authentication. As long and complex passwords are encouraged by research studies and practitioners alike, computer users design passwords using strategies that enable them to remember their passwords. This paper aims to present a taxonomy of those password creation strategies in the form of a model describing various strategies used to create passwords. Design/methodology/approach The study was conducted in a three-step process beginning with a short survey among forensic experts within the Swedish police. The model was then developed by a series of iterative semi-structured interviews with forensic experts. In the third and final step, the model was validated on 5,000 passwords gathered from 50 different password databases that have leaked to the internet. Findings The result of this study is a taxonomy of password creation strategies presented as a model that describes the strategies as properties that a password can hold. Any given password can be classified as holding one or more of the properties outlined in the model. Originality/value On an abstract level, this study provides insight into password creation strategies. As such, the model can be used as a tool for research and education. It can also be used by practitioners in, for instance, penetration testing to map the most used password creation strategies in a domain or by forensic experts when designing dictionary attacks.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2019
Keywords
Computer security, Strategies, Passwords, Classification, Categorization
National Category
Computer and Information Sciences
Research subject
Information Systems
Identifiers
urn:nbn:se:his:diva-17203 (URN)10.1108/ICS-06-2018-0077 (DOI)000479219900008 ()2-s2.0-85066986036 (Scopus ID)
Available from: 2019-06-19 Created: 2019-06-19 Last updated: 2022-12-28Bibliographically approved
Hemeren, P. E., Johannesson, M., Lebram, M. & Eriksson, F. (2017). Detecting Cyclists at Night: visibility effects of reflector placement and different lighting conditions. In: Proceedings of the 6th Annual International Cycling Safety Conference: . Paper presented at 6th Annual International Cycling Safety Conference. Davis, California, USA, September 21-22, 2017.
Open this publication in new window or tab >>Detecting Cyclists at Night: visibility effects of reflector placement and different lighting conditions
2017 (English)In: Proceedings of the 6th Annual International Cycling Safety Conference, 2017Conference paper, Oral presentation with published abstract (Refereed)
Keywords
biological motion, cyclist visibility, reflectors, attention, night driving
National Category
Applied Psychology
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-14706 (URN)
Conference
6th Annual International Cycling Safety Conference. Davis, California, USA, September 21-22, 2017
Available from: 2018-02-01 Created: 2018-02-01 Last updated: 2018-03-26Bibliographically approved
Hemeren, P., Johannesson, M., Lebram, M., Eriksson, F., Ekman, K. & Veto, P. (2014). The Use of Visual Cues to Determine the Intent of Cyclists in Traffic. In: 2014 IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA): . Paper presented at 2014 IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), March 3-6, 2014, San Antonio, TX, USA (pp. 47-51). IEEE Press
Open this publication in new window or tab >>The Use of Visual Cues to Determine the Intent of Cyclists in Traffic
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2014 (English)In: 2014 IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), IEEE Press, 2014, p. 47-51Conference paper, Published paper (Refereed)
Abstract [en]

The purpose of this research was to answer the following central questions: 1) How accurate are human observers at predicting the behavior of cyclists as the cyclists approached a crossing? 2) If the accuracy is reliably better than chance, what cues were used to make the predictions? 3) At what distance from the crossing did the most critical cues occur? 4) Can the cues be used in a model that can reliably predict cyclist intent? We present results that show a number of indicators that can be used in to predict the intention of a cyclist, i.e., future actions of a cyclist, e.g., “left turn” or “continue forward” etc.

Results of empirical studies show that humans are reasonably good at this type of prediction for a majority of the situations studied. However, some situations seem to contain conflicting information. The results also suggested that human prediction of intention is to a large extent relying on a single “strong” indicator, e.g., that the cyclist makes a clear “head movement”. Several “weaker" indicators that together could be a strong “combined indicator”, or equivalently strong evidence, is likely to be missed or too complex to be handled by humans in real-time. We suggest this line of research can be used to create decision support systems that predict the behavior of cyclists in traffic.

Place, publisher, year, edition, pages
IEEE Press, 2014
Series
IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), ISSN 2379-1667, E-ISSN 2379-1675
Keywords
cyclist, intention, vulnerable road user, traffic safety, attention, visual cue
National Category
Applied Psychology
Research subject
Technology; Interaction Lab (ILAB); Consciousness and Cognitive Neuroscience
Identifiers
urn:nbn:se:his:diva-9357 (URN)10.1109/CogSIMA.2014.6816539 (DOI)000341577900008 ()2-s2.0-84902105488 (Scopus ID)978-1-4799-3563-5 (ISBN)978-1-4799-3564-2 (ISBN)
Conference
2014 IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), March 3-6, 2014, San Antonio, TX, USA
Note

Financed by Länsförsäkringsbolagens forskningsfond AB

Available from: 2014-06-02 Created: 2014-06-02 Last updated: 2023-02-01Bibliographically approved
Hemeren, P., Johannesson, M., Lebram, M., Eriksson, F., Ekman, K. & Veto, P. (2013). The Use of Perceptual Cues to Determine the Intent of Cyclists in Traffic. In: : . Paper presented at The Eye, The Brain and The Auto, 6th Biennial World Research Congress on The Relationship Between Vision and the Safe Operation of a Motorized Vehicle, Dearborn, Michigan, September 16-18, 2013.
Open this publication in new window or tab >>The Use of Perceptual Cues to Determine the Intent of Cyclists in Traffic
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2013 (English)Conference paper, Oral presentation with published abstract (Refereed)
Keywords
cycling, social signal, intention, attention, visual cues, perception, biologicl motion
National Category
Applied Psychology
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-9365 (URN)
Conference
The Eye, The Brain and The Auto, 6th Biennial World Research Congress on The Relationship Between Vision and the Safe Operation of a Motorized Vehicle, Dearborn, Michigan, September 16-18, 2013
Note

Project financing: Länsförsäkringsbolagens forskningsfond AB

Available from: 2014-06-04 Created: 2014-06-04 Last updated: 2017-11-27Bibliographically approved
Hemeren, P., Johannesson, M., Lebram, M., Eriksson, F., Ekman, K. & Veto, P. (2013). URBANIST: Signaler som används för att avläsa cyklisters intentioner i trafiken. Skövde
Open this publication in new window or tab >>URBANIST: Signaler som används för att avläsa cyklisters intentioner i trafiken
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2013 (Swedish)Report (Other academic)
Abstract [sv]

Genom att titta på ett fåtal bestämda signaler kan man med god träffsäkerhet förutsäga cyklisters beteende, vilket tyder på att de identifierade signalerna är betydelsefulla. Vetskapen om dessa kan, bland annat, praktiskt användas för att utveckla enkla hjälpmedel – såsom medveten placering av fluorescerande eller reflekterande material på leder och/eller införande av olikfärgade hjälmsidor. Dylika kan förväntas förstärka kommunikationen av viktiga signaler. Vetskapen kan även användas för att utbilda oerfarna bilförare. Båda fallen kan i förlängningen ge en säkrare trafikmiljö för oskyddade trafikanter.

Place, publisher, year, edition, pages
Skövde: , 2013
Series
IKI Technical Reports ; HS-IKI-TR-13-002
Keywords
cyklist, uppmärksamhet, bilist, cykelforskning, trafiksäkerhet, oskyddad trafikant
National Category
Applied Psychology
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-9355 (URN)
Note

Finansierat av Länsförsäkringsbolagens forskningsfond AB

Available from: 2014-06-02 Created: 2014-06-02 Last updated: 2017-12-20Bibliographically approved
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