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Point-to-GeoBlog: Gestures and Sensors to Support User Generated Content Creation. Simon Robinson, Parisa Eslambolchilar, Matt Jones MobileHCI 2008. Outline. Introduction Prototype : Gestures and Visual Feedback ─ Mobile Hardware ─ Marking points of Interest ─ Making Maps
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Point-to-GeoBlog: Gestures and Sensors to Support User Generated Content Creation Simon Robinson, Parisa Eslambolchilar, Matt Jones MobileHCI 2008
Outline • Introduction • Prototype : Gestures and Visual Feedback • ─ Mobile Hardware • ─ Marking points of Interest • ─ Making Maps • Evaluating the System • ─ Method • ─ Findings • Discussion • Conclusions and Future Work
Introduction (1) • Three trends in blogging motivate this work • ─ Short, frequent low-cost posts • `status updates' . • ─ Sparse and frequent acts are attractive to mobile users. • ─ Blogs were text but now photos, videos .Use several web services for clear role.Facebook, • GoogleMyMaps. • Likely to become extremely popular???
Introduction (2) • This map generating, journey reminiscing scenario is • the one we focus on In the paper. • An interaction performed at an earlier point in time • is used to provide informationlater. • First combines pointing gesture with visualfeedback • toindicate areas of interest. • Second, the mobile require minimal attention from • the user.
Prototype : Gestures and Visual Feedback • Mobile Hardware • Marking points of Interest • Making Maps
Mobile Hardware(1) • SHAKE SK6 ─ small Bluetoothdevice ─ three-axis accelerometers, magnetometersand angular rate sensors, dual-channel capacitive input sensorsand a navigation button ─ programmable vibrating motor • Dell Axim x51v PDA • Each SHAKE is attached to the back of a PDA.
Mobile Hardware (2) Mobile Hardware(2) The equipment in use. Inset: the SHAKE sensor pack.
Mobile Hardware (3) • Use a standard Bluetooth GPS receiver to • determine a user’s location, PDA to • record thedata. • Any movements made by the user holding the • device are recorded by the SHAKE.
Marking points of Interest (1) • Displays an aerial photo of the current location • An arrow showing the direction they facing. • Tilt the device toward or away from bodies to • refine the targeting. • Marker is positioned over their desired target • , the user presses a button to mark.
Marking points of Interest (2) • Default, the user is presented with a view that • shows an area up to 175m from their current • positions. • zoom out through three levels allow them to • select targets up to 350m, 700m and 1400m.
Marking points of Interest (3) Sample screens from the device. Left: thedefault (minimum) zoom level. Right: maximum zoom level, with several locations marked.
Marking points of Interest (4) • when horizontally • (at 0 degrees relative to the horizontal plane), • thedistance is the maximum of the current • zoomlevel ; • when vertically • (at 90 degrees relative to the horizontal plane) • the distance is set to 0 metres.
Marking points of Interest (5) Indicating distance (metres) by degree of tilt. Left to right: points at a location and then tilts the SHAKE to indicate the target’s distance.
Making Maps (1) • Determine the user's route from logged GPS readings. • Retrieve the latitude and longitude coordinates of • the user's points of interest. • Finding content • ─ By postal codes and district names, to specify a small area at street level, allowing for detailed location-specic results. • ─ Text and image results are garnered from social • networking sites.
Making Maps (2) Sample webpage search result.
Making Maps (3) • Map visualisation • ─ The map visualisation shows the route taken during each journey (as coloured lines, a dierent colour for each route ) and the areas-of-interest marked by the user . • ─ Locations with no retrieved content are shown • as grey markers.
Making Maps (4) As user hovers over a marker, a line is drawn to show where the gesture originated and content statistics are displayed.
Making Maps (5) Clicking on a marker displays content results.
Evaluating the System • Participants : fifteen participants ,18 to 45 • Period: 4-day period • Place: covering approximately 14 square miles • Results: participant behaviors ,logged data
Method - start • Meet individually, short demonstration, basic • training. • the devices switched on at all times, and use • the system to mark any places. • data logs were collected from each participant's PDA.
Method - mid • Questionnaire based on the NASA Task Load • instrument. • Rate the mental, physical and temporal • demand,about the marking task. • Dimensions was rated on a scale of 7.
Method - final • browse their map, exploring their routes and • search results of each markedlocation. • thinking-aloud to explain their interaction • with and impressions of the map. • Rated the content retrieved for each marked • location on a scale of 1-7.
Findings • Journeys and marked points of interest. • Mobile Task Load and Usability Ratings. • Interview and think-aloud findings relating to • the mobile system • Interview, think-aloud and content rating • findings relating to the map visualisations
Journeys and marked points of interest (1) • 241 location be marked. • (56%) public buildings • (26%) landscape features • (18%) particular historical interest. • view zooming functions were not often used. • The mean time taken to mark each location • was 4½ seconds (std. dev:6.7 seconds).
Journeys and marked points of interest (2) All journeys (shown as lines) and marked locations (as pins) within the main common journey area.
Journeys and marked points of interest (3) Time taken to mark locations.
Mobile Task Load and Usability Ratings Feature ratings.
Interview and think-aloud findings • Accurate marking of each location was time • consuming.Have to match the map view • with their actual view. • the distance in metreswere marking on the • map. • Trouble with on a moving bus.
Findings relating to the map visualisations • Skim over the textual information,preferring • to skip directly to pictures • where they had been throughout the day, • viewing this journey informationwould • remind them about things. • For this content, all meanrelevance rating • for markers was 5.4 on a scale of 1 to 7.
Discussion • Found unexpected, interesting information. • Filtering mechanisms will be needed to • ensure that the content is useful. • The use of visual feedback haveboth positive • and negative impacts
Conclusions and Future Work (1) • Sensor data to mediate the combination • of physical and digital experiences. • haptic feedback: • related to the density of geo-tagged • content in an area. • Dierent gestures to indicate the sorts of • content.
Conclusions and Future Work (2) • From text update to gesture at a location • and be provided with a list of interesting • recommendations • `Google the real world ' Q&A