Modeling Angle-Based Pointing Tasks in Augmented Reality Interfaces
The target in an augmented reality (AR) interface is often located in the distance and outside the initial AR viewport, requiring the user to rotate the AR device, instead of translating it, to complete the search and selection of the target. In order to quantitatively analyze rotating the AR device...
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| Veröffentlicht in: | IEEE access 2020, Vol.8, p.192597-192607 |
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| creator | Jin, Sichen Yin, Jibin Fu, Chengyao Zhang, Xiangliang Liu, Tao |
| description | The target in an augmented reality (AR) interface is often located in the distance and outside the initial AR viewport, requiring the user to rotate the AR device, instead of translating it, to complete the search and selection of the target. In order to quantitatively analyze rotating the AR device in the AR interface in the selection of a target located outside the initial visual window, we propose and experimentally verify a quantitative model based on angle measurement under two selection techniques: with and without cursor. The results show that the model proposed in this paper can accurately describe the interactive process when a rotating AR device completes the target selection task. With cursor angle measurement achieves a model fitting value of R 2 = 0.937, and without cursor angle measurement achieves a model fitting value of R 2 = 0.915; hence, good modeling of user performance in AR selection tasks is achieved. |
| doi_str_mv | 10.1109/ACCESS.2020.3031957 |
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In order to quantitatively analyze rotating the AR device in the AR interface in the selection of a target located outside the initial visual window, we propose and experimentally verify a quantitative model based on angle measurement under two selection techniques: with and without cursor. The results show that the model proposed in this paper can accurately describe the interactive process when a rotating AR device completes the target selection task. With cursor angle measurement achieves a model fitting value of R 2 = 0.937, and without cursor angle measurement achieves a model fitting value of R 2 = 0.915; hence, good modeling of user performance in AR selection tasks is achieved.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2020.3031957</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>PISCATAWAY: IEEE</publisher><subject>Augmented reality ; Computer Science ; Computer Science, Information Systems ; Engineering ; Engineering, Electrical & Electronic ; Fitts’ law ; Human Performance Modeling ; Lenses ; Mobile handsets ; Modelling ; Navigation ; Performance evaluation ; Rotation ; Science & Technology ; Task analysis ; Technology ; Telecommunications ; user interfaces ; Visualization</subject><ispartof>IEEE access, 2020, Vol.8, p.192597-192607</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>2</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000584858600001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c408t-b9190486d20206593e574341464b7ae015479b074dcfa17e8249b6880e23730f3</citedby><cites>FETCH-LOGICAL-c408t-b9190486d20206593e574341464b7ae015479b074dcfa17e8249b6880e23730f3</cites><orcidid>0000-0001-6828-8563 ; 0000-0003-1278-671X ; 0000-0002-2797-0264 ; 0000-0002-3357-4364 ; 0000-0001-8825-0714</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9229099$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>315,781,785,865,2103,2115,4025,27638,27928,27929,27930,28253,28254,54938</link.rule.ids></links><search><creatorcontrib>Jin, Sichen</creatorcontrib><creatorcontrib>Yin, Jibin</creatorcontrib><creatorcontrib>Fu, Chengyao</creatorcontrib><creatorcontrib>Zhang, Xiangliang</creatorcontrib><creatorcontrib>Liu, Tao</creatorcontrib><title>Modeling Angle-Based Pointing Tasks in Augmented Reality Interfaces</title><title>IEEE access</title><addtitle>Access</addtitle><addtitle>IEEE ACCESS</addtitle><description>The target in an augmented reality (AR) interface is often located in the distance and outside the initial AR viewport, requiring the user to rotate the AR device, instead of translating it, to complete the search and selection of the target. In order to quantitatively analyze rotating the AR device in the AR interface in the selection of a target located outside the initial visual window, we propose and experimentally verify a quantitative model based on angle measurement under two selection techniques: with and without cursor. The results show that the model proposed in this paper can accurately describe the interactive process when a rotating AR device completes the target selection task. With cursor angle measurement achieves a model fitting value of R 2 = 0.937, and without cursor angle measurement achieves a model fitting value of R 2 = 0.915; hence, good modeling of user performance in AR selection tasks is achieved.</description><subject>Augmented reality</subject><subject>Computer Science</subject><subject>Computer Science, Information Systems</subject><subject>Engineering</subject><subject>Engineering, Electrical & Electronic</subject><subject>Fitts’ law</subject><subject>Human Performance Modeling</subject><subject>Lenses</subject><subject>Mobile handsets</subject><subject>Modelling</subject><subject>Navigation</subject><subject>Performance evaluation</subject><subject>Rotation</subject><subject>Science & Technology</subject><subject>Task analysis</subject><subject>Technology</subject><subject>Telecommunications</subject><subject>user interfaces</subject><subject>Visualization</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>AOWDO</sourceid><sourceid>ARHDP</sourceid><sourceid>DOA</sourceid><recordid>eNqNUUtv1DAYjBCVWpX-gl4icURZ_H4cl6jASkWgPs6W43xZeUntYntV9d_jkKpwxBfb45nxeNw0lxhtMEb647bvr25vNwQRtKGIYs3lm-aMYKE7yql4-8_6tLnI-YDqUBXi8qzpv8URZh_27TbsZ-g-2Qxj-yP6UBbwzuafufWh3R73DxBKPbsBO_vy3O7qLk3WQX7XnEx2znDxMp8395-v7vqv3fX3L7t-e905hlTpBo01YkqMS1LBNQUuGWWYCTZICwhzJvWAJBvdZLEERZgehFIICJUUTfS82a2-Y7QH85j8g03PJlpv_gAx7Y1NxbsZDDAihBNICoWZdnqQ2NJBc2vFxIfRVa_3q9djir-OkIs5xGMKNb4hjAtOcc1VWXRluRRzTjC93oqRWco3a_lmeZJ5Kb-qPqyqJxjilJ2H4OBVWcvniimuxPIPuLLV_7N7X2zxMfTxGEqVXq5SD_BXognRSGv6G23inY0</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Jin, Sichen</creator><creator>Yin, Jibin</creator><creator>Fu, Chengyao</creator><creator>Zhang, Xiangliang</creator><creator>Liu, Tao</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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In order to quantitatively analyze rotating the AR device in the AR interface in the selection of a target located outside the initial visual window, we propose and experimentally verify a quantitative model based on angle measurement under two selection techniques: with and without cursor. The results show that the model proposed in this paper can accurately describe the interactive process when a rotating AR device completes the target selection task. 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| subjects | Augmented reality Computer Science Computer Science, Information Systems Engineering Engineering, Electrical & Electronic Fitts’ law Human Performance Modeling Lenses Mobile handsets Modelling Navigation Performance evaluation Rotation Science & Technology Task analysis Technology Telecommunications user interfaces Visualization |
| title | Modeling Angle-Based Pointing Tasks in Augmented Reality Interfaces |
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