User Experience Design for Mobile Cartography: Setting the Agenda

Beijing, China | July 11 & 12, 2019

Position Paper Deadline: 1 February 2019

Organizers

Purpose

The ICA Commissions on Cognition, LBS, VA, and Use are pleased to announce a joint workshop to outline a research agenda on Mobile Map UX. Since their first description in the cartographic literature (Zipf 2002, Reichenbacher 2001, 2004, Meng et al. 2005, Gartner et al. 2007), interactive mapping applications drawing on location-based services and mobile technologies have fundamentally transformed the way that people experience place. Accordingly, established tenets of cartography need to be reexamined and updated for the mobile platform. Further, new cartographic design strategies are needed for mobile maps to ensure a productive and satisfying user experience (UX).

Energy is surging around mobile in cartography and related fields (Huang et al. 2018), with extant research covering egocentric design (van Elzakker et al. 2009), mobile icon designs (Stevens et al. 2013), adaptive and responsive designs (Griffin et al. 2017), context-awareness (Huang 2016), situated learning (Roth et al. 2018), citizen science (Haklay 2013), and mobile design ethics (Wilson 2012, Ricker et al. 2014). Recent work also includes new educational materials on mobile cartography for classroom instruction (e.g., Muehlenhaus 2013; Huang & Gao 2018; Ricker & Roth 2018).

Position Papers

This workshop builds upon the successful ICA joint workshops and special issues on Big Challenges in Interactive Cartography and Location Based Services to develop a research agenda for Mobile Map UX. To this end, we solicit 2-page position papers proposing emerging issues and pressing needs regarding Mobile Map UX. We encourage position statements from multiple sectors, including academia, industry, and government. Considerations, opportunities, and challenges of mobile map UX for discussion include, but are not limited to:

  • New Data Services: New geotagged big data streams and context-aware services building upon these streams.
  • New Technology: New mobile hardware (e.g., smartphones, UAVs, augmented reality, web environment), critical mobile infrastructure (and design constraints therein), and emerging mobile use cases (e.g., in-flight, autonomous vehicles and interfaces thereof).
  • New Map Designs: Novel map representations, emerging perceptual and cognitive considerations, and adaptive and responsive map designs across devices.
  • New Map Interfaces: New interface designs, including natural metaphors, augmented-/avatar-based interactions, and operator functionality.
  • New Analytical Methods: New approaches for scalable spatial analysis that are designed to support mobile mapping.
  • New Evaluation Methodologies: New methods and tools designed for or applied to studying mobile user experiences.
  • Broader Impacts: New forms of scholarly and citizen participation in science, education, and policy, as well as ethical considerations for the design and use of mobile maps.

Format

The workshop will cross two days, the first focused on student engagement and establishing common ground on topics related to Mobile Map UX and the second on developing a working research agenda for Mobile Map UX (capped registration).

Day #2 papers should be 2-pages and focus on “big problems”, or key research challenges and opportunities, related to the dimensions of Mobile Map UX listed above. Please submit your 2-page white paper in the CHI Archive Format. Please use positions papers from the 2015 workshop as examples for reference (available for download the bottom of the page). Position papers will be peer-reviewed by the organizing committee based on intellectual merit, scope and timeliness, and engagement with new literature and technology.

July 11: Overview & Training Workshops (recorded/targeted towards students)

  • 8:30-9:00: Arrival, Coffee
  • 9:00-10:30: User Experience Design (Robert Roth)
  • 10:30-11:00: Break
  • 11:00-12:30: Location-based Services (Haosheng Huang)
  • 12:30-14:00: Lunch
  • 14:00-15:30: Mobile Map Design (Britta Ricker)
  • 15:30-16:00: Break
  • 16:00-17:00: Discussion & Day #2 Planning
  • 18:00: Dinner

July 12: Lightning Talks and Research Agenda

  • 8:30-9:00: Arrival, Coffee
  • 9:00-10:00: Lightning Talks I
  • 10:00-10:30: Discussion
  • 10:30-11:00: Break
  • 11:00-12:00: Lightning Talks II
  • 12:00-12:30: Discussion
  • 12:30-14:00: Lunch / Commission Meetings
  • 14:00-15:00: RA Formulation/Organization
  • 15:00-16:30: Breakout
  • 16:30-17:00: Wrap-up and Next Steps
  • 18:00: Dinner

Venue:

The Beijing Normal University (BNU) Faculty of Geography was founded in 1910 and is one of the premier institutions for cartography and mapping sciences in China. BNU is located between the 2nd and 3rd city rings and is within 2km of multiple metro lines. BNU has graciously offered to provide space and coffee, as well as assistance with visas. Lodging is available on campus at the Jingshi Hotel, with additional options off campus within walking distance. The local organizers have arranged a block of rooms at a discount rate. Please email  Mr. YANG Tianyu (yang_ziy@mail.bnu.edu.cn) for your reservation, naming the workshop as your reason for the visit.

Timeline:

  • 15 November 2018: Announcement Posted
  • 1 February 2019: Deadline for 2-page Position Papers (sent to reroth@wisc.edu)
  • 1 March 2019: Notification of Accepted Papers & Preliminary Schedule; Registration Opens
  • 1 June 2019: Deadline to Register (no cost)

References:

  • Gartner, G., D.A. Bennett, and T. Morita. 2007. Towards ubiquitous cartography. Cartography and Geographic Information Science 34 (4): 247-257.
  • Griffin, A.L., T. White, C. Fish, B. Tomio, H. Huang, C.R. Sluter, J.V.M. Bravo, S.I. Fabrikant, S. Bleisch, M. Yamada, and P. Picanço. 2017. Designing across map use contexts: A research agenda. International Journal of Cartography, 3(Sup1), 61-89.
  • Haklay M. 2013. Citizen Science and Volunteered Geographic Information: Overview and Typology of Participation. In: Sui D., Elwood S., Goodchild M. (eds) Crowdsourcing Geographic Knowledge. Springer, Dordrecht.
  • Huang, H. 2016. Context-Aware Location Recommendation Using Geotagged Photos in Social Media. ISPRS International Journal of Geo-Information 5(11): 195, doi:10.3390/ijgi5110195.
  • Huang, H., and Gao, S. (2018). Location-Based Services. The Geographic Information Science & Technology Body of Knowledge (1st Quarter 2018 Edition), John P. Wilson (Ed). doi: 10.22224/gistbok/2018.1.14
  • Huang, H., G Gartner, J.M. Krisp, M. Raubal, and N. Van de Weghe. Location based services: Ongoing evolution and research agenda. Journal of Location Based Services. 
  • Muehlenhaus I. 2013. Web Cartography: Map Design for Interactive and Mobile Devices. Boca Raton, FL: CRC Press.
  • Meng, L., A. Zipf, and T. Reichenbacher. 2005. Map-based mobile services: Theories, methods, and implementations. Berlin: Springer.
  • Reichenbacher, T. 2001. Adaptive concepts for a mobile cartography. Journal of Geographical Sciences 11 (1):43–53.
  • Reichenbacher, T. 2003. Adaptive methods for mobile cartography. Paper presented at 21st International Cartographic Conference, Durban, South Africa, August 10.
  • Ricker, B., S. Daniel, and N. Hedley. 2014. Fuzzy boundaries: Hybridizing location-based services, volunteered geographic information, and geovisualization literature. Geography Compass 8 (7):490–504.
  • Ricker, B., and Roth, R. E. (2018). Mobile Maps and Responsive Design. The Geographic Information Science & Technology Body of Knowledge (2nd Quarter 2018 Edition), John P. Wilson (Ed)..
  • Roth R.E., S. Young, C. Nestel, C.M. Sack, B. Davidson, V. Knoppke-Wetzel, F. Ma, R. Mead, C. Rose, and G. Zhang. 2018. Global landscapes: Teaching globalization through responsive mobile map design. The Professional Geographer 70 (3): 395-411.
  • Stevens, J.E., A.C. Robinson, and A.M. MacEachren. 2013. Designing map symbols for mobile devices: Challenges, best practices, and the utilization of skeuomorphism. In: Proceedings of the International Cartographic Conference, Dresden, Germany, August 28.
  • Zipf, A. 2002. User-adaptive maps for location-based services (LBS) for tourism. Paper presented at Information and Communication Technologies in Tourism, Innsbruck, Austria.
  • van Elzakker, C. P. J. M., I. Delikostidis, and P. J. M. van Oosterom. 2009. Field-based usability evaluation methodology for mobile geo-applications. The Cartographic Journal 45 (2):139–49.
  • Wilson, M.W. 2012. Location-based services, conspicuous mobility, and the location-aware future. Geoforum 43 (6):1266–75.

Assessing map-reading skills using eye tracking and bayesian structural equation modelling

Abstract: Map reading is an important skill for acquiring spatial information. Previous studies have mainly used results-based assessments to learn about map-reading skills. However, how to model the relationship between map-reading skills and eye movement metrics is not well documented. In this paper, we propose a novel method to assess map-reading skills using eye movement metrics and Bayesian structural equation modelling. We recruited 258 participants to complete five map-reading tasks, which included map visualization, topology, navigation, and spatial association. The results indicated that map-reading skills could be reflected in three selected eye movement metrics, namely,the measure of first fixation, the measure of processing, and the measure of search. The model fitted well for all five tasks, and the scores generated by the model reflected the accuracy and efficiency of the participants’ performance. This study might provide a new approach to facilitate the quantitative assessment of map-reading skills based on eye tracking.

To site this paper:

Dong, W.; Jiang, Y.; Zheng, L.; Liu, B.; Meng, L. Assessing Map-Reading Skills Using Eye Tracking and Bayesian Structural Equation Modelling. Sustainability 201810, 3050.

doi:https://doi.org/10.3390/su10093050

Using eye tracking to explore differences in map-based spatial ability between geographers and non-geographers

Abstract: In this article, we use eye-tracking methods to analyze the differences in spatial ability between geographers and non-geographers regarding topographic maps, as reflected in the following three aspects: map-based spatial localization, map-based spatial orientation, and map-based spatial visualization. We recruited 32 students from Beijing Normal University (BNU) and divided them into groups of geographers and non-geographers based on their major. In terms of their spatial localization ability, geographers had shorter response times, higher fixation frequencies, and fewer saccades than non-geographers, and the differences were significant. For their spatial orientation ability, compared to non-geographers, geographers had significantly lower response times, lower fixation counts and fewer saccades as well as significantly higher fixation frequencies. In terms of their spatial visualization ability, geographers’ response times were significantly shorter than those of non-geographers, but there was no significant difference between the two groups in terms of
fixation count, fixation frequency or saccade count. We also found that compared to geographers, non-geographers usually spent more time completing these tasks. The results of this study are helpful in improving the map-based spatial ability of users of topographic maps.

To site this paper:

Dong, W.; Zheng, L.; Liu, B.; Meng, L. Using Eye Tracking to Explore Differences in Map-Based Spatial Ability between Geographers and Non-Geographers. ISPRS Int. J. Geo-Inf. 20187, 337.

doi:https://doi.org/10.3390/ijgi7090337

Using eye tracking to evaluate the usability of flow maps

Abstract: Flow maps allow users to perceive not only the location where interactions take place, but also the direction and volume of events. Previous studies have proposed numerous methods to produce flow maps. However, how to evaluate the usability of flow maps has not been well documented. In this study, we combined eye-tracking and questionnaire methods to evaluate the usability of flow maps through comparisons between (a) straight lines and curves and (b) line thicknesses and color gradients. The results show that curved flows are more effective than straight flows. Maps with curved flows have more correct answers, fixations, and percentages of fixations in areas of interest. Furthermore, we find that the curved flows require longer finish times but exhibit smaller times to first fixation than straight flows. In addition, we find that using color gradients to indicate the flow volume is significantly more effective than the application of different line thicknesses, which is mainly reflected by the presence of more correct answers in the color-gradient group. These empirical studies could help improve the usability of flow maps employed to visualize geo-data.

To cite this paper:

Dong, W *.; Wang, S. *; Chen, Y.; Meng, L. Using Eye Tracking to Evaluate the Usability of Flow Maps. ISPRS Int. J. Geo-Inf. 20187, 281. doi: https://doi.org/10.3390/ijgi7070281

Inferring user tasks in pedestrian navigation from eye movement data in real-world environments

Abstract: Eye movement data convey a wealth of information that can be used to probe human behaviour and cognitive processes. To date, eye tracking studies have mainly focused on laboratory-based evaluations of cartographic interfaces; in contrast, little attention has been paid to eye movement data mining for real-world applications. In this study, we propose using machine-learning methods to infer user tasks from eye movement data in real-world pedestrian navigation scenarios. We conducted a real-world pedestrian navigation experiment in which we recorded eye movement data from 38 participants. We trained and cross-validated a random forest classifier for classifying five common navigation tasks using five types of eye movement features. The results show that the classifier can achieve an overall accuracy of 67%. We found that statistical eye movement features and saccade encoding features are more useful than the other investigated types of features for distinguishing user tasks. We also identified that the choice of classifier, the time window size and the eye movement features considered are all important factors that influence task inference performance. Results of the research open doors to some potential real-world innovative applications, such as navigation systems that can provide task-related information depending on the task a user is performing.

 To cite this paper:
Hua Liao, Weihua Dong*, Haosheng Huang, Georg Gartner & Huiping
Liu (2018): Inferring user tasks in pedestrian navigation from eye movement data in real-world environments. International Journal of Geographical Information Science: 1-25. doi: https://doi.org/10.1080/13658816.2018.1482554

Measuring the influence of map label density on perceived complexity: a user study using eye tracking

Abstract: We combine eye tracking and a questionnaire-based approach to explore the influence of label density on the perceived visual complexity of maps. We design two experiments in which participants are asked to search for the names of point features on maps and to rate the map complexity and legibility for different label densities. Specifically, we conduct a highly controlled experiment in which all the map variables except the label density are held constant (the controlled experiment). Then, we conduct a second experiment following the same protocol but using real maps as visual stimuli (the real-map experiment) to verify if the results of the controlled experiment were applicable to real maps. The results of both experiments indicate a significantly positive correlation between perceived visual complexity and label density and between the response time in visual search tasks and label density. Surprisingly, we observe a significant inverse correlation between the label density and two eye movement parameters (fixation duration and fixation frequency) between the two experiments. We discuss how the variables of real maps might have affected these eye movement parameters and why the results of the two experiments are inconsistent. Our findings suggest that eye tracking parameters are not reliable indicators of map complexity. These empirical results can be helpful to future map design and map complexity investigation.

Cite this paper:

Liao, H., Wang, X., Dong, W., & Meng, L. (2018). Measuring the influence of map label density on perceived complexity: a user study using eye tracking. Cartography and Geographic Information Science, 1-18. DOI: https://doi.org/10.1080/15230406.2018.1434016

Using Eye Tracking to Explore the Guidance and Constancy of Visual Variables in 3D Visualization

Abstract: An understanding of guidance, which means guiding attention, and constancy, meaning that an area can be perceived for what it is despite environmental changes, of the visual variables related to three-dimensional (3D) symbols is essential to ensure rapid and consistent human perception in 3D visualization. Previous studies have focused on the guidance and constancy of visual variables related to two-dimensional (2D) symbols, but these aspects are not well documented for 3D symbols. In this study, we used eye tracking to analyze the visual guidance from shapes, hues and sizes, and the visual constancy that is related to the shape, color saturation and size of 3D symbols in different locations. Thirty-six subjects (24 females and 12 males) participated in the study. The results indicate that hue and shape provide a high level of visual guidance, whereas guidance from size, a variable that predominantly guides attention in 2D visualization, is much more limited in 3D visualization. Additionally, constancy of shape and saturation are perceived with relatively high accuracy, whereas constancy of size is perceived with only low accuracy. These first empirical studies are intended to pave the way for a more comprehensive user understanding of 3D visualization design.

Cite this paper:

Liu, B.; Dong, W.; Meng, L. Using Eye Tracking to Explore the Guidance and Constancy of Visual Variables in 3D Visualization. ISPRS Int. J. Geo-Inf. 20176, 274. doi: 10.3390/ijgi6090274

董卫华团队参加江苏卫视《最强大脑》节目录制

地理科学学部董卫华老师作为特约嘉宾参加江苏卫视《最强大脑》第四季节目录制,该节目已于2017年1月13日在江苏卫视播出,题目为《一眼辨山》。在节目中,选手通过观察三张随机选取的庐山3D实景图,在庐山全貌等高线地形图中绘制相应的观察点和观察方向,选手答案与正确答案相差在四度以内,点位偏差在两百米以内则回答正确,正确两题则挑战成功。为录制该节目,董卫华老师带队进行了为期半年的研究,并亲赴庐山进行实地考察。以下为该节目的视频:

Selection of LiDAR geometric features with adaptive neighborhood size for urban land cover classification

Abstract: LiDAR has been an effective technology for acquiring urban land cover data in recent decades. Previous studies indicate that geometric features have a strong impact on land cover classification. Here, we analyzed an urban LiDAR dataset to explore the optimal feature subset from 25 geometric features incorporating 25 scales under 6 definitions for urban land cover classification. We performed a feature selection strategy to remove irrelevant or redundant features based on the correlation coefficient between features and classification accuracy of each features. The neighborhood scales were divided into small (0.5–1.5 m), medium (1.5–6 m) and large (>6 m) scale. Combining features with lower correlation coefficient and better classification performance would improve classification accuracy. The feature depicting homogeneity or heterogeneity of points would be calculated at a small scale, and the features to smooth points at a medium scale and the features of height different at large scale. As to the neighborhood definition, cuboid and cylinder were recommended. This study can guide the selection of optimal geometric features with adaptive neighborhood scale for urban land cover classification.

Cite this paper: Dong, W., Lan, J., Liang, S., Yao, W. and Zhan, Z. 2017. Selection of LiDAR geometric features with adaptive neighborhood size for urban land cover classification. International Journal of Applied Earth Observation and Geoinformation, 60, 99-110. DOI: 10.1016/j.jag.2017.04.003

Global and regional changes in exposure to extreme heat and the relative contributions of climate and population change

Abstract: The frequency and intensity of extreme heat wave events have increased in the past several decades and are likely to continue to increase in the future under the influence of human-induced climate change. Exposure refers to people, property, systems, or other elements present in hazard zones that are thereby subject to potential losses. Exposure to extreme heat and changes therein are not just determined by climate changes but also population changes. Here we analyze output for three scenarios of greenhouse gas emissions and socio-economic growth to estimate future exposure change taking account of both climate and population factors. We find that for the higher emission scenario (RCP8.5-SSP3), the global exposure increases nearly 30-fold by 2100. The average exposure for Africa is over 118 times greater than it has been historically, while the exposure for Europe increases by only a factor of four. Importantly, in the absence of climate change, exposure is reduced by 75–95% globally and across all geographic regions, as compared with exposure under the high emission scenario. Under lower emission scenarios RCP4.5-SSP2 and RCP2.6-SSP1, the global exposure is reduced by 65% and 85% respectively, highlighting the efficacy of mitigation efforts in reducing exposure to extreme heat.

Continue reading “Global and regional changes in exposure to extreme heat and the relative contributions of climate and population change”