The Japan Times - AI-powered meet-up apps fight loneliness

EUR -
AED 4.331285
AFN 75.468553
ALL 95.455853
AMD 435.133136
ANG 2.110613
AOA 1082.496254
ARS 1649.279971
AUD 1.625795
AWG 2.125489
AZN 2.009303
BAM 1.960362
BBD 2.374715
BDT 144.673819
BGN 1.967008
BHD 0.445031
BIF 3508.088307
BMD 1.179189
BND 1.49518
BOB 8.147963
BRL 5.795828
BSD 1.179039
BTN 111.34021
BWP 15.830843
BYN 3.332255
BYR 23112.111202
BZD 2.371308
CAD 1.612011
CDF 2670.864298
CHF 0.915956
CLF 0.026704
CLP 1051.00014
CNY 8.019372
CNH 8.014083
COP 4422.526062
CRC 542.013173
CUC 1.179189
CUP 31.248518
CVE 110.903223
CZK 24.334582
DJF 209.565995
DKK 7.476537
DOP 69.985351
DZD 155.828741
EGP 62.195977
ERN 17.68784
ETB 185.491052
FJD 2.573586
FKP 0.866493
GBP 0.864889
GEL 3.154379
GGP 0.866493
GHS 13.313508
GIP 0.866493
GMD 86.674958
GNF 10353.282886
GTQ 9.002953
GYD 246.714182
HKD 9.235117
HNL 31.390478
HRK 7.538916
HTG 154.379289
HUF 353.981307
IDR 20491.303919
ILS 3.421187
IMP 0.866493
INR 111.36447
IQD 1544.738045
IRR 1546506.829043
ISK 143.873347
JEP 0.866493
JMD 185.842514
JOD 0.836092
JPY 184.734208
KES 152.328133
KGS 103.085327
KHR 4728.549695
KMF 492.90156
KPW 1061.212561
KRW 1723.880942
KWD 0.36279
KYD 0.982687
KZT 544.929701
LAK 25889.102525
LBP 105596.406437
LKR 379.599647
LRD 216.385693
LSL 19.344721
LTL 3.48184
LVL 0.71328
LYD 7.455688
MAD 10.783336
MDL 20.163928
MGA 4911.324039
MKD 61.694669
MMK 2475.833955
MNT 4220.203791
MOP 9.507427
MRU 47.130688
MUR 55.210091
MVR 18.224417
MWK 2044.257635
MXN 20.255648
MYR 4.623647
MZN 75.354597
NAD 19.344721
NGN 1603.190905
NIO 43.293982
NOK 10.858924
NPR 178.160636
NZD 1.976185
OMR 0.453919
PAB 1.179144
PEN 4.04993
PGK 5.129916
PHP 71.358689
PKR 328.581553
PLN 4.239717
PYG 7202.120307
QAR 4.29269
RON 5.21945
RSD 117.297547
RUB 87.543025
RWF 1722.206041
SAR 4.459737
SBD 9.456429
SCR 16.459646
SDG 708.107537
SEK 10.86706
SGD 1.494391
SHP 0.880384
SLE 29.067455
SLL 24727.006491
SOS 673.91103
SRD 44.100547
STD 24406.83871
STN 24.939855
SVC 10.317092
SYP 130.352242
SZL 19.303765
THB 37.993916
TJS 11.001504
TMT 4.127163
TND 3.379601
TOP 2.839205
TRY 53.475102
TTD 7.990886
TWD 36.927538
TZS 3063.998569
UAH 51.791223
UGX 4417.888438
USD 1.179189
UYU 47.025255
UZS 14309.46312
VES 588.693738
VND 31022.113342
VUV 139.175172
WST 3.188636
XAF 657.487181
XAG 0.014668
XAU 0.00025
XCD 3.186819
XCG 2.124956
XDR 0.82014
XOF 657.402298
XPF 119.331742
YER 281.384102
ZAR 19.315951
ZMK 10614.123377
ZMW 22.449247
ZWL 379.698489
  • RBGPF

    0.0000

    63.18

    0%

  • CMSC

    0.1400

    23.11

    +0.61%

  • BTI

    0.2000

    58.28

    +0.34%

  • NGG

    0.9800

    86.89

    +1.13%

  • BCC

    -2.0900

    70.67

    -2.96%

  • GSK

    -0.0900

    50.41

    -0.18%

  • RELX

    0.0759

    33.58

    +0.23%

  • RIO

    2.2700

    105.38

    +2.15%

  • CMSD

    0.1140

    23.534

    +0.48%

  • BCE

    -0.4300

    24.14

    -1.78%

  • RYCEF

    -1.0800

    16.37

    -6.6%

  • JRI

    0.0000

    13.15

    0%

  • VOD

    0.5100

    16.2

    +3.15%

  • BP

    -0.4700

    43.34

    -1.08%

  • AZN

    0.3300

    182.85

    +0.18%

AI-powered meet-up apps fight loneliness
AI-powered meet-up apps fight loneliness / Photo: Marco BERTORELLO - AFP/File

AI-powered meet-up apps fight loneliness

On a summer evening in San Francisco, JT Mason went to dinner with five complete strangers, confident he would have a good time thanks to careful guest selection by a new type of app for meeting people.

Text size:

The platform, called 222, promises something different than your typical dating app.

"I'm not getting the image that they want people to see. I'm getting the actual human being," said the 25-year-old paramedic.

Before the evening, Mason completed a lengthy questionnaire covering his values, interests, drug tolerance, character traits, and other personal criteria.

After dinner, he joined other app users at a private art deco bar, all hoping to meet potential friends or perhaps find something more.

Once connections are made, everyone has the opportunity to tell the app which people they'd like to see again -- or not -- and explain why.

According to 222, the app's artificial intelligence becomes particularly effective at matching users after they participate in several events, from dinners to yoga sessions to improv classes.

"As far as AI getting to the point of understanding human chemistry, I think they're pretty far off," Mason observed, but said he thinks it can serve as "the first step in getting us to the table to try to create that connection."

Predicting compatibility between strangers using AI has become the obsession of Keyan Kazemian and his co-founders at 222, which now operates in several major cities from London to Los Angeles.

The 26-year-old entrepreneur hopes to "help people not only form initial connections and get to the next interaction, but help people who already know each other form long, lasting relationships."

After working at Match Group -- the parent company of Tinder and Hinge -- he concluded that traditional dating apps "only seek one thing: are you going to swipe right on the next person?"

Most new technologies are "actually placing people not with other humans, but with virtual entities," he added, referring to social media and AI assistants.

- '15 cigarettes a day' -

The growing difficulties individuals face in forming meaningful connections have alarmed health professionals.

In 2017, then US surgeon general Vivek Murthy described a "loneliness epidemic."

In a 2023 report, he warned that "the mortality impact of being socially disconnected is similar to that caused by smoking up to 15 cigarettes a day, and even greater than that associated with obesity and physical inactivity."

He cited increased risks of cardiovascular disease, dementia and depression.

The causes, according to various studies, include the gradual disappearance of traditional socializing institutions, addictive digital platforms and, more recently, the pandemic and remote work.

- 'Emotionally challenging' -

When Isabella Epstein moved to New York in 2021 to work at an investment bank, she "tried everything" to build connections.

Fresh out of a small university in rural Vermont and accustomed to close-knit communities, she experimented with apps and joined clubs -- all in vain.

"It was an emotionally challenging period for me," Epstein recalled.

"I ended up approaching strangers on the street, at coffee shops. I would say to a woman, 'I love your outfit,' or stop someone and ask, 'What are you reading?' People were very positively receptive."

Over time, the young woman accumulated hundreds of contacts.

She began organizing impromptu events -- inviting some to happy hours, others to pickleball games -- and gradually created her own circle of friends.

Passionate about solving this widespread problem, she quit her job and launched "Kndrd."

The app targets New York women under 40, allowing its roughly 10,000 users to suggest activities and find partners for them.

Other services similar to 222 and Kndrd have emerged in recent years, including Timeleft, Plots and Realroots.

"The positive side of these apps is that their business model doesn't rely on time spent online," noted Felix-Olivier Ngangue, an investor at Convivialite Ventures.

"It's in their interest for people to meet in real life."

Y.Kimura--JT