モバイル健康管理サービスの評価に関する研究
丁, 一
http://hdl.handle.net/2324/1959136
出版情報:九州大学, 2018, 博士(芸術工学), 課程博士 バージョン:
権利関係:
A Study on Evaluating Mobile Self-care Management Service
2018 8
Doctoral Dissertation
A Study on Evaluating
Mobile Self-care Management Service
August 2018
Doctoral Program in Department of Design Strategy Graduate School of Design
Kyushu University
DING YI
1.1 ···2
1.2 ···4
1.3 ···5
1.4 ···7
1.5 ···8
2 ···9
2.1 ···9
2.2 ···9
3 ···11
3.1 ···11
3.2 ···12
4 ···13
5 ···13
6 ···14
6.1 ···14
6.2 ···14
···15
···16
1 ···19
1 ···20
1.1 ···20
1.2 ···20
2 ···20
2.1 2000 ···20
2.2 2010 ···21
2.3 ···27
···34
2 ···38
1 ···39
1.1 ···39
1.2 ···39
2 ···41
2.1 ···41
2.2 ···41
3 1 ···44
3.1 ···44
3.2 ···44
3.3 ···45
4 2 ···45
4.1 ···46
4.2 ···47
4.3 ···47
4.4 ···48
4 . 5 · · · ·4 9 5 3 ···50
5.1 ···50
5.2 ···52
5.3 ···54
5.4 ···55
6 ···56
6 . 1 · · · ·5 6 6 . 2 · · · ·5 7 6.3 ···58
7 ···59
1.2 ···62
1.3 ···62
2 ···62
2.1 ···62
2.2 ···65
2.3 ···68
2.4 ···70
3 ···72
3.1 ···72
3 . 2 · · · ·7 2 4 ···80
5 ···81
···83
4 ···84
1 ···85
2 ···85
3 ···85
3.1 ···85
3.2 ···88
4 ···89
4.1 ···89
4.2 ···93
5 ···95
6 ···95
···98
5 ···99
2 .2 · · · ·· · · ·1 0 1 2 . 3 · · · ·1 0 1
3 ···102
3.1 ···102
3.2 ···104
3.3 ···104
4 ···106
4.1 ···106
4.2 ···110
5 ···113
5.1 ···113
5.2 ···117
6 ···120
6.1 ···120
6.2 ···120
6.3 ···120
7 ···121
6 ···122
1 · · · ·1 2 3 2 ···124
2.1 ···124
2.2 ···125
3 ···126
3.1 ···126
3.2 ···127
4 ···129
4.1 ···129
4.2 ···130
1···133
2···157
3···200
4···204
5···210
6···298
7···323
···348
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Anderson, K., Burford, O., & Emmerton, L. (2016). Mobile health apps to facilitate self-care: a qualitative study of user experiences. PLoS One, 11(5), e0156164.
Asimakopoulos, S., Asimakopoulos, G., & Spillers, F. (2017). Motivation and user engagement in fitness tracking: Heuristics for mobile healthcare wearables. In Informatics (Vol. 4, No. 1, p. 5). Multidisciplinary Digital Publishing Institute.
Gouveia, R., Karapanos, E., & Hassenzahl, M. (2015). How do we engage with activity trackers?: a longitudinal study of Habito. In Proceedings of the 2015 ACM
International Joint Conference on Pervasive and Ubiquitous Computing (pp.
1305-1316). ACM.
International Organization for Standardization (ISO, 9241-210, 2010). Ergonomics of human-system interaction - Part 210: Human-centered design for interactive systems.
Karapanos, E., Gouveia, R., Hassenzahl, M., & Forlizzi, J. (2016). Wellbeing in the making: peoples’ experiences with wearable activity trackers. Psychology of well-being, 6(1), 4.
Krebs, P., & Duncan, D. T. (2015). Health app use among US mobile phone owners: a national survey. JMIR mHealth and uHealth, 3(4).
Lazar, A., Koehler, C., Tanenbaum, J., & Nguyen, D. H. (2015). Why we use and abandon smart devices. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 635-646). ACM.
Ledger, D., & McCaffrey, D. (2014). Inside wearables: How the science of human behavior change offers the secret to long-term engagement. Endeavour Partners, 200(93), 1.
Nurkka, P. (2016). Customization in long-term use: the case of the sports watch. In Proceedings of the 15th International Conference on Mobile and Ubiquitous Multimedia (pp. 5-10). ACM.
adoption challenges of wearable activity trackers. IConference 2015 Proceedings.
Tencent ISUX (2015). 2015
, , (2003).
. , 54, 21-31.
(2003). . Dokkyo journal of medical sciences, 30(3), 243-245.
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Personal tracking as lived informatics
Krebs, P., & Duncan, D. T. (2015)
Health app use among US mobile phone owners: a national survey Shih, P. C., Han, K.,
Poole, E. S., Rosson, M. B., &
Carroll, J. M. (2015)
Use and adoption challenges of wearable activity trackers
20-24
Gouveia, R., Karapanos, E., &
Hassenzahl, M.
(2015)
How do we engage with activity trackers?
Lazar, A., Koehler, C., Tanenbaum, J.,
& Nguyen, D. H.
(2015)
Why we use and abandon smart devices
18-59
Karapanos, E.
(2015)
Sustaining user engagement with behavior-change tools
Gowin, M., Cheney, M., Gwin, S., &
Franklin Wann, T.
(2015)
Health and fitness app use in college students: a qualitative study
18-30 Karapanos, E.,
Gouveia, R., Hassenzahl, M., &
Forlizzi, J. (2016)
Wellbeing in the making: peoples’
experiences with wearable activity trackers Anderson, K.,
Burford, O., &
Emmerton, L. (2016)
Mobile health apps to facilitate self-care: a qualitative study of user experiences Asimakopoulos, S.,
Asimakopoulos, G.,
& Spillers, F. (2017)
Motivation and user engagement in fitness tracking:
Heuristics for mobile healthcare wearables
Krebs Duncan 2015
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9) mHealth
Akter, S., D'Ambra, J., & Ray, P.K. (2010). Service quality of mHealth platforms: development and validation of a hierarchical model using PLS.
Electronic Markets, 20, 209-227.
Alonso-Rasgado MT., Thompson G., Dannemark OJ. (2004). State of the Art in Service Design and Modeling. VIVACE Public, 11-14.
Anderson, K., Burford, O., & Emmerton, L. (2016). Mobile health apps to facilitate self-care: a qualitative study of user experiences. PLoS One, 11(5), e0156164.
Asimakopoulos, S., Asimakopoulos, G., & Spillers, F. (2017). Motivation and user engagement in fitness tracking: Heuristics for mobile healthcare wearables. In Informatics (Vol. 4, No. 1, p. 5). Multidisciplinary Digital Publishing Institute.
Boudreaux, E. D., Waring, M. E., Hayes, R. B., Sadasivam, R. S., Mullen, S., &
Pagoto, S. (2014). Evaluating and selecting mobile health apps: strategies for healthcare providers and healthcare organizations. Translational behavioral medicine, 4(4), 363-371.
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, , , , .). ( ). (Original work published
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Gowin, M., Cheney, M., Gwin, S., & Franklin Wann, T. (2015). Health and fitness app use in college students: a qualitative study. American Journal of Health Education, 46(4), 223-230.
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Karapanos, E. (2015). Sustaining user engagement with behavior-change tools. Interactions, 22(4), 48-52.
Karapanos, E., Gouveia, R., Hassenzahl, M., & Forlizzi, J. (2016). Wellbeing in the making: peoples’ experiences with wearable activity trackers.
Psychology of well-being, 6(1), 4.
Krebs, P., & Duncan, D. T. (2015). Health app use among US mobile phone owners: a national survey. JMIR mHealth and uHealth, 3(4).
Laxminarayan, S., & Istepanian, R. S. (2000). UNWIRED E-MED: the next generation of wireless and internet telemedicine systeMH. IEEE Transactions on Information Technology in Biomedicine, 4(3).
Lazar, A., Koehler, C., Tanenbaum, J., & Nguyen, D. H. (2015). Why we use
and abandon smart devices. In Proceedings of the 2015 ACM
International Joint Conference on Pervasive and Ubiquitous Computing
(pp. 635-646). ACM.
human behavior change offers the secret to long-term engagement.
Endeavour Partners, 200(93), 1.
Rooksby, J., Rost, M., Morrison, A., & Chalmers, M. C. (2014). Personal tracking as lived informatics. In Proceedings of the 32nd annual ACM conference on Human factors in computing systeMH (pp. 1163-1172).
ACM.
Shih, P. C., Han, K., Poole, E. S., Rosson, M. B., & Carroll, J. M. (2015). Use and adoption challenges of wearable activity trackers. IConference 2015 Proceedings.
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& Mani, M. (2015). Mobile app rating scale: a new tool for assessing the quality of health mobile apps. JMIR mHealth and uHealth, 3(1).
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, (2003).
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, , (2004).
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862-873.
, , (2002). LifeMinder:
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. (1987). . , 20(5), 428-437.
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02 27
03 22
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05 20
06 26
07 25
08 28
09 29
10 27
11 18
12 30
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14 26
15 26
16 23
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13 0.7
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16 17.3
17 50.9
18 46.7
19 23.5
20 25.1
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22 3.9
23 35.7
24 29.0
25 6.5
26 55.6
27 69.2
28 19.4
29 45.6
30 48.5
31 15.5
32 55.5
33 56.5
34 16.4
35 39.0
36 51.4
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22
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SN 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38
2.3
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26
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○︎
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01 1 2 3 4
02 1 2 3 4
03 1 2 3 4
04 1 2 3 4
05 1 2 3 4
06 1 2 3 4
07 1 2 3 4
08 1 2 3 4
09 1 2 3 4
10 1 2 3 4
11 1 2 3 4
12 1 2 3 4
13 1 2 3 4
14 1 2 3 4
15 1 2 3 4
16 1 2 3 4
17 1 2 3 4
18 1 2 3 4
19 1 2 3 4
20 1 2 3 4
21 1 2 3 4
22 1 2 3 4
23 1 2 3 4
24 1 2 3 4
25 1 2 3 4
26 1 2 3 4
27 1 2 3 4
28 1 2 3 4
29 1 2 3 4
30 1 2 3 4
31 1 2 3 4
32 1 2 3 4
33 1 2 3 4
34 1 2 3 4
35 1 2 3 4
36 1 2 3 4
37 1 2 3 4
38 1 2 3 4
39 1 2 3 4
40 1 2 3 4
3
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55 143 53 145 28
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29 15 14
20 33 2
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28 .770 .418 .389 .325 .066 .169 .411 .283 .166
32 .709 .424 .429 .422 .192 .112 .196 .216 .122
29 .661 .448 .212 .187 .229 .084 .065 .164 .218
27 .642 .478 .231 .199 .032 .132 .244 .296 .280
31 .625 .202 .265 .496 .213 .062 .224 .081 .095
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11 .400 .594 .417 .245 .168 .372 .143 .398 .311
10 .339 .572 .374 .240 .133 .129 .374 .091 .070
19 .416 .544 .390 .261 .156 .197 .339 .090 .107
09 .380 .524 .198 .231 .016 .127 .214 .192 .148
18 .367 .515 .302 .133 .028 .129 .187 .178 .107
05 .298 .446 .370 .354 .434 .064 .031 .108 -.024
06 .112 .408 -.052 -.052 .022 .058 .138 .109 .167
37 .231 .251 .776 .251 .179 .223 .261 .132 .047
39 .208 .280 .717 .234 .203 .281 .222 .130 .214
38 .397 .324 .674 .205 -.033 .240 .205 .177 .141
20 .386 .438 .552 .333 .122 .334 .421 .168 .142
40 .342 .331 .547 .304 .222 .188 .132 .152 .178
34 .343 .168 .256 .844 .140 .084 .107 .155 .048
35 .286 .220 .277 .820 .195 .122 .144 .078 .085
36 .335 .063 .317 .598 .153 .104 .352 .176 .058
33 .487 .326 .339 .491 .143 .032 .019 .137 .043
03 .137 .061 .135 .212 .732 .163 .315 .176 -.015
04 .125 .118 .171 .119 .696 .118 .147 .146 .080
01 .226 .231 .165 .203 .648 .123 .189 .241 .000
02 .012 .066 .178 .137 .533 .384 .148 .108 -.127
13 .072 .251 .270 .083 .153 .935 .248 .217 .251
12 .125 .218 .307 .128 .196 .839 .215 .159 .308
23 .241 .299 .208 .125 .181 .165 .615 .284 .188
22 .302 .383 .278 .110 .170 .167 .605 .239 .138
21 .101 .303 .201 .133 .357 .149 .472 .085 .191
14 .153 .132 .268 .164 .130 .419 .454 .039 .273
15 .238 .132 .275 .198 .133 .313 .419 .088 .252
26 .314 .374 .258 .126 .178 .181 .136 .831 .170
25 .179 .220 .180 .183 .251 .214 .281 .757 .183
24 .241 .168 .136 .246 .197 .129 .412 .449 .068
17 .243 .243 .227 .140 -.020 .258 .220 .162 .925
16 .238 .318 .225 .086 .048 .375 .340 .264 .775
:
: Kaiser
36
9 53 30
30
% % % %
1 8.03 22.31 22.31 2.46 6.83 6.83 5.29
2 2.67 7.43 29.74 6.48 17.99 24.82 5.38
3 2.51 6.96 36.70 2.07 5.76 30.57 4.05
4 2.07 5.75 42.45 1.73 4.82 35.39 2.90
5 1.80 5.01 47.46 1.68 4.66 40.05 3.18
6 1.55 4.31 51.77 1.30 3.62 43.66 2.72
7 1.53 4.24 56.01 1.15 3.19 46.86 3.12
8 1.48 4.12 60.13 1.11 3.07 49.93 3.04
9 1.27 3.52 63.64 1.08 3.00 52.92 2.57
Kaiser
31
31
1 2 3 4 5 6 7 8 9 30 0.8660.4450.3230.1480.2630.0330.2570.1860.125 28 0.7710.4610.380.0960.2920.1550.330.320.189 32 0.7010.4180.3670.1920.3870.0960.2350.2480.16 29 0.6490.4250.1770.1980.1570.080.1590.2430.218 27 0.6330.5170.2360.0490.1720.1250.3140.1890.285 31 0.6140.2260.2310.2330.4670.0290.1120.1740.114 07 0.4110.6840.3130.0950.1520.2160.270.3160.201 08 0.2840.6450.3040.1950.1040.2190.3220.2510.272 110.380.6220.4060.170.2150.3820.4130.1640.309 10 0.3710.5760.1710.050.2080.1140.2060.1050.169 19 0.340.5640.3290.1340.2290.10.1290.4270.093 09 0.3590.5520.280.0450.1050.140.1960.1420.131 18 0.4110.5480.3550.1660.2320.1840.1120.3630.141 05 0.2870.4450.3530.4290.3510.0610.0990.1170.001 06 0.1070.392-0.0690.001-0.0680.0590.1130.2680.162 37 0.2190.2670.8490.1960.2350.2040.1630.2170.056 39 0.20.280.6750.210.2030.2550.1750.20.248 38 0.3890.3470.668-0.0120.170.2150.1980.1420.171 40 0.3220.3270.5220.2140.270.1650.1590.1870.175 03 0.1440.0870.1420.760.2240.1510.2110.2360 04 0.1280.1240.1840.6810.1220.120.1690.1930.066 01 0.2240.2290.1420.6520.1920.1270.2490.2350.011 02 0.010.0710.160.5460.1310.3880.1120.133-0.115 35 0.2650.2540.2540.2140.8570.1030.0970.0840.095 34 0.3190.1860.2210.1590.8170.0610.1660.0660.088 36 0.330.1110.2940.2010.5880.0720.2220.1540.098 12 0.1180.2310.2820.2070.1120.8870.20.1730.301 13 0.0630.2790.2490.1720.0660.8840.2510.160.247 25 0.180.2320.1770.2570.1740.230.7970.2620.207 26 0.3060.3740.2550.1680.1040.1920.7790.2080.183 24 0.2480.2250.1370.240.2190.1140.4880.2190.094 22 0.3270.330.2450.1480.0850.1750.2950.8630.164 21 0.1090.2570.180.350.1260.1470.1260.6360.192 23 0.2620.3150.230.2120.1130.1490.3280.5260.207 17 0.240.2660.21-0.0220.1270.2310.20.1780.994 16 0.2380.3540.2350.0540.090.3660.2950.2790.735
32
32
F1 F2 F3 F4 F5 F6 F7 F8
F2 .537
F3 .396 .431
F4 .166 .198 .233
F5 .377 .241 .332 .295
F6 .101 .280 .301 .208 .090
F7 .322 .354 .251 .214 .152 .272
F8 .293 .369 .258 .270 .128 .185 .265
F9 .227 .303 .188 -.004 .086 .283 .260 .208
9
198 2
198 1
33 3 1
2
3
36
3 9
33
1 2 3
.804 .129 .091
.684 -.149 .151
.646 .364 .190
.534 .356 .113
.245 .784 -.111
-.082 .714 .364
.059 -.030 .887
.368 .173 .532
.312 .351 .443
Kaiser a.4
α
.71 .87
α
.90 ( 34)
34 α
α 0.85 0.8 0.77 0.75 0.78 0.87 0.71 0.71 0.84 0.9
2
4 4 Spirit-Skin
198
M = 2.76, SD = .3835
35 N=198
.
2.88 2.64 2.85 2.73 2.99 3.13 2.28 2.60 3.04 2.84 3.09 2.54
2 3
9 198
3
2 1
3 2
3.13
3.04
2.99
2.88 2.85
2.73
2.64
2.60
2.28
4
2
36 9 3
2
36
9
3
36 9
3
3
MH
3 3
9 MH
36
MH MH
9
3
MH
MH
MH
5
36
9
3
MH
36
36
2014 .
. Retrieved July 31
,2017, from
http://www.MHlw.go.jp/houdou/2007/03/dl/h0327-3b.pdf
4
4 1
1 2 MH
2
1 MH 2 MH
3
MH
MH
MH MH
3 3.1
3 3
9
36 37
37
3 MH
9
9
36 MH
37 9 36
SN 38 38 MH
38
SN 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
MH
9 36
3.2
MH
MH
MH
MH
SWOT Advantaged area Disadvantaged area
Competing area New area 4
4
4
MH MH
4 4.1
1
9
39 MH
1 5.2
MH
2
18 30 MH
7 MH
40
40 MH
39 40 KJ
3 39 40
37
KJ
SN 41 41
9
23
41
SN 01 02 03 04 05 06 07 08
09 ( )
10 11 12 13 14 15 16 17 18 19 20 21 22 23
9 MH
MH
9 23
9 MH
MH
9 23
9 23
4.2
MH
MH
MH
MH
SWOT Advantaged area
Disadvantaged area Competing area New
area 4 5
5
MH MH
5
2 MH
MH
MH 3 4
MH
6
MH