Abstract
Location awareness can help facilitate a rendezvous of two or more persons. To further enhance the rendezvous experience, we conducted two complementary field studies to identify what information in a location-aware map application is important to rendezvous individuals (study 1) and to explore the use of autofocus, our automation technique to reduce user interactions with the rendezvous application while still providing relevant information to assist users with their navigation task (study 2). Overall, our results highlight the importance of maintaining the visibility of the user’s location in relation to that of their partner(s) and rendezvous location. Additionally, we show that automation is useful in the context of a rendezvous application, but that the considerations are significantly more nuanced than originally conceived. We discuss unique instances when and why the automation process broke-down or did not perform as required by users. The results of this work demonstrate the potential for automation in a location-aware rendezvous application and identify important design considerations for future work in this area.
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Notes
A rendezvous is the social activity of people meeting at a given location and time.
References
Pousman Z, Iachello G, Fithian R, Moghazy J, Stasko J (2004) Design iterations for a location-aware event planner. Personal Ubiquitous Comput 8:117–125
Sohn T, Li KA, Lee G, Smith I, Scott J, Griswold W (2005) Place-its: a study of location-based reminders on mobile phones. UbiComp. Springer, Heidelberg, pp 232–250
Dearman D, Hawkey K, Inkpen KM (2005) Rendezvousing with location-aware devices: enhancing social coordination. Interact Comput 17:542–566
Colbert M (2001) A diary study of rendezvousing: Implications for position-aware computing and communications for the general public. GROUP 2001. ACM Press, Boulder, pp 15–23
LaMarca A, Chawathe Y, Consolvo S, Hightower J, Smith I, Scott J, Sohn T, Howard J, Huges J, Potter F, Tabert J, Pawledge P, Borriello G, Schilit B (2005) Place Lab: device positioning using radio beacons in the wild. Pervasive ‘05: the 3rd international conference on pervasive computing. Springer, Munich
Chen M, Sohn T, Chmelev D, Haehnel D, Hightower J, Hughes J, LaMarca A, Potter F, Smith I, Varshavsky A (2006) Practical metropolitan-scale positioning for GSM phones. In: Proceedings of the 8th international conference on ubiquitous computing (UbiComp ‘06). Springer, California
Want R, Hopper A, Falcao V, Gibbons J (1992) The active badge location system. ACM Trans Inf Syst 10:91–102
Harter A, Hopper A, Steggles P, Ward A, Webster P (2002) The anatomy of a context-aware application. Wireless Netw 8:187–197
Priyantha NB, Chakraborty A, Balakrishnan H (2000) The cricket location-support system. In: Proceedings of the 6th annual international conference on Mobile computing and networking. ACM Press, Boston
POLS: Privacy-Observant Location System (2006) http://pols.sourceforge.org (Accessed Feb. 2008)
Patil S, Lai J (2005) Who gets to know what when: configuring privacy permissions in an awareness application. In: CHI ‘05: proceedings of the SIGCHI conference on human factors in computing system. ACM Press, Portland, pp 101–110
Griswold WG, Shanahan P, Brown SW, Boyer R, Ratto M, Shapiro RB, Truong TM (2004) ActiveCampus: experiments in community-oriented ubiquitous computing. Computer 37:73–81
Hong JI, Ng DD, Lederer S, Landay JA (2004) Privacy risk models for designing privacy-sensitive ubiquitous computing systems. DIS 2004. ACM Press, Cambridge, pp 91–100
Consolvo S, Smith IE, Mathews T, LaMarca A, Tabert J, Powledge P (2005) Location disclosure to social relations: Why, when, & what people want to share. In: CHI ‘05: proceedings of the SIGCHI conference on human factors in computing systems. ACM Press, Portland, pp 81–90
Lederer S, Mankoff J, Dey AK (2003) Who wants to know what when? Privacy preference determinants in ubiquitous computing. In: CHI ‘03: proceedings of the SIGCHI conference on human factors in computing system. ACM Press, Ft. Lauderdale, pp 724–725
Reilly D, Dearman D, Ha V, Inkpen KM (2006) “Need to Know”: examining information need in location disclosure. Pervasive 2006. Springer, Dublin
Nivala A-M, Sarjakoski LT (2003) An approach to intelligent maps: context awareness. Workshop on HCI in Mobile Guides in conjunction with Mobile HCI 2003, Undie, pp 45–50
Reichenbacher T (2003) Adaptive methods for mobile cartography. In: Proceedings of the 21st international cartographic conference (ICC ‘03), Durban, pp 1311–1322
Zipf A (2002) User-adaptive maps for location-based services (LBS) for Tourism. ENTER ‘02. Springer, Innsbruck, pp 329–338
Google maps. http://maps.google.com (Accessed Feb. 2008)
Robbins DC, Cutrell E, Sarin R, Horvitz E (2004) ZoneZoom: Map navigation for smartphones with recursive view segmentation. AVI ‘04. ACM Press, Gallipoli, pp 231–234
MacEachren AM (1995) How maps work. The Guilford Press, New York
Furnas GW (1986) Generalized fisheye views. CHI 1986. ACM Press, Boston, pp 16–23
Baudisch P, Rosenboltz R (2003) Halo: a technique for visualizing off-screen locations. CHI 2003. ACM Press, Ft. Lauderdale, pp 481–488
Zellweger PT, Mackinlay JD, Good L, Stefik M, Baudisch P (2003) City lights: contextual views in minimal spaces. CHI ‘03 extended abstracts on Human factors in computing systems. ACM Press, Ft. Lauderdale, pp 838–839
Irani P, Gutwin C, Yang XD (2006) Improving selection of off-screen targets with hopping. In: CHI ‘06: proceedings of the SIGCHI conference on human factors in computing systems. ACM Press, Montréal, pp 299–308
Colbert M (2004) Age differences in rendezvousing: 18–30s vs. 31–45s. APCHI 2004. Springer, Rotorua, pp 91–100
Dabbs JM, Chang E-L, Strong RA, Milun R (1998) Spatial ability, navigation strategy, and geographic knowledge among men and women. Evolut Human Behav 19:89–98
Sandstrom NJ, Kaufman J, Huettel SA (1998) Males and females use different distal cues in a virtual environment navigation task. Cogn Brain Res 6:351–360
Fekete J-D, Plaisant C (1999) Excentric labeling: dynamic neighborhood labeling for data visualization. In: CHI’99: proceedings of the SIGCHI conference on human factors in computing systems. ACM Press, Pittsburgh, pp 512–519
Acknowledgments
The authors would like that thank all the participants for their time and effort. Additionally, they would like to thank everyone in the EdgeLab for their considerable feedback. This research is supported in part by the Natural Science and Engineering Research Council of Canada (NSERC) and the Walter C. Sumner Foundation.
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Dearman, D., Inkpen, K.M. & Truong, K.N. Mobile map interactions during a rendezvous: exploring the implications of automation . Pers Ubiquit Comput 14, 1–13 (2010). https://doi.org/10.1007/s00779-008-0195-2
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DOI: https://doi.org/10.1007/s00779-008-0195-2