Analysis of compensative behavior in demanding driving situations

Platten, Frederik; Schwalm, Maximilian; Hülsmann, Julia; Krems, Josef F.

doi:10.1016/j.trf.2014.06.006

Cited by 15 publications

(9 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Such strategies could be to only answer the text message if the traffic light is red, but to go on cycling if the traffic light is green, or to only read text messages when there is no other traffic around and then decide whether to stop and answer or not. Such behaviours and strategies are comparable to what is typically found amongst car drivers (Funkhouser and Sayer 2012;Huth and Brusque 2013;Metz et al 2011;Platten et al 2014;Tivesten and Dozza 2015). Due to the design used in this study, in addition to the fact that it is not clear whether all untreated messages were ignored, or simply not noticed, it cannot be established whether the interaction level used for each message was indeed the highest acceptable for each cyclist.…”

Section: Discussionsupporting

confidence: 73%

“…When engaged in a cell phone conversation, they change lanes less frequently in high-density traffic (Cooper et al 2009;Fitch et al 2014) and spend more time behind a lead vehicle (Cooper et al 2009). Drivers frequently adapt their involvement with self-paced additional tasks to the current requirements in traffic (Eriksson et al 2014;Kidd et al 2016;Metz et al 2014Metz et al , 2015Platten et al 2014;Schömig et al 2011). Less research has been made on cyclists and their mobile phone use.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Bicyclists’ adaptation strategies when interacting with text messages in urban environments

et al. 2018

View full text Add to dashboard Cite

Cyclists' use of mobile phones in traffic has typically been studied in controlled experiments. How cyclists adapt their behaviour when they are not limited to a certain set of behaviours has not been investigated to any large extent. The aims of this study are to explore how cyclists adapt when texting and listening to music in a complex urban environment, and if they compensate sufficiently to maintain safe traffic behaviour. Forty-one cyclists participated in a semi-controlled study, using their own bike and smartphone in real traffic. They were equipped with eye tracking glasses and travelled two laps completing a total of 6 km divided into six segments. For one of the laps, the cyclists were requested to listen to music. On three occasions, they received a text message to their phone, which they were supposed to handle as they normally would when cycling. Static minimum required attention measures were used to examine the influence on attention. The results show that listening to music while cycling did not affect workload, speed, SMS interaction or attention. Seven different adaptation behaviours were identified when the cyclists dealt with received text messages. One-fourth of the text messages were replied to while cycling. In general, the cyclists manage to integrate SMS interactions with their cycling behaviour. Nevertheless, there were two occasions when basic attention criteria were violated while texting, which motivate further studies.

show abstract

Section: Discussionsupporting

confidence: 73%

Section: Introductionmentioning

confidence: 99%

Bicyclists’ adaptation strategies when interacting with text messages in urban environments

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Car drivers often interact visual-manually with their phone when stopped anyway, for instance at a red traffic light (Funkhouser & Sayer, 2012; Huth & Brusque, 2013), and they change lanes less frequently during a phone call in high-density traffic (Cooper, Vladisavljevic, Medeiros-Ward, Martin, & Strayer, 2009). Drivers also adapt their interaction with self-paced additional tasks to the traffic demands (Metz, Schömig, & Krüger, 2011; Platten, Schwalm, Hülsmann, & Krems, 2014; Schömig, Metz, & Krüger, 2011; Tivesten & Dozza, 2015). Thus, drivers influence the requirements on information intake and processing by adjusting their speed and choice of maneuvers (see also Kujala, Mäkelä, Kotilainen, & Tokkonen, 2016).…”

Section: A Human-centered Stance To Driver Inattentionmentioning

confidence: 99%

Minimum Required Attention: A Human-Centered Approach to Driver Inattention

Kircher

Ahlström

2016

Hum Factors

View full text Add to dashboard Cite

The MiRA theory builds on well-established driver attention theories. It goes beyond available driver distraction definitions by first defining what a driver needs to be attentive to, being free from hindsight bias, and allowing the driver to adapt to the current demands of the traffic situation through satisficing and self-pacing. MiRA has the potential to provide the stepping stone for unbiased and operationalizable inattention detection and classification.

show abstract

“…This will be discussed in more detail in the discussion section of this thesis. To finalize, using selfpaced additional tasks did not improve scores on the task, but decreased the perceived MWL, thus resembling the findings from other studies (Platten, Schwalm, Hülsmann and Krems, 2014).…”

Section: Brief Discussionsupporting

confidence: 85%

Challenges in Partially Automated Driving: A Human Factors Perspective

Marcos¹

View full text Add to dashboard Cite

show abstract

Analysis of compensative behavior in demanding driving situations

Cited by 15 publications

References 20 publications

Bicyclists’ adaptation strategies when interacting with text messages in urban environments

Bicyclists’ adaptation strategies when interacting with text messages in urban environments

Minimum Required Attention: A Human-Centered Approach to Driver Inattention

Challenges in Partially Automated Driving: A Human Factors Perspective

Contact Info

Product

Resources

About