1 00:00:07,133 --> 00:00:10,453 Speaker 1: You're listening to the Saturday Morning with Jack team podcast 2 00:00:10,573 --> 00:00:11,413 Speaker 1: from News Talks. 3 00:00:11,413 --> 00:00:14,573 Speaker 2: They'd be it's time to catch up with protical psychologist 4 00:00:14,653 --> 00:00:17,253 Speaker 2: Google Sutherland, who's with us this morning with a fascinating 5 00:00:17,293 --> 00:00:17,773 Speaker 2: new study. 6 00:00:17,813 --> 00:00:20,693 Speaker 3: Good morning, Google, Cure Jack and I think you know, 7 00:00:20,813 --> 00:00:24,093 Speaker 3: the biggest question on everybody's lips was when when the 8 00:00:24,133 --> 00:00:25,293 Speaker 3: Smiths are going to be coming up? 9 00:00:27,173 --> 00:00:27,453 Speaker 2: Smith? 10 00:00:27,613 --> 00:00:29,893 Speaker 4: Don't you do that? 11 00:00:30,293 --> 00:00:31,973 Speaker 3: You're not going to I know they're not going to 12 00:00:32,093 --> 00:00:33,933 Speaker 3: reunite any time at all, but you know, that. 13 00:00:33,933 --> 00:00:36,573 Speaker 4: Would have been. That'd be a great thing to I. 14 00:00:36,493 --> 00:00:38,893 Speaker 2: Mean, that would be like a little Morrissey tour would. 15 00:00:38,733 --> 00:00:42,173 Speaker 3: Be yeah, yeah, well yeah, that's not going to happen, 16 00:00:42,253 --> 00:00:43,173 Speaker 3: but anyway, yes. 17 00:00:43,293 --> 00:00:46,613 Speaker 2: Yeah, no, no, it's yeah, yeah, that would be. That 18 00:00:46,693 --> 00:00:47,533 Speaker 2: would be a real trick. 19 00:00:47,653 --> 00:00:48,733 Speaker 4: Now, that would be. 20 00:00:48,653 --> 00:00:50,933 Speaker 2: There's probably My theory is just that there's money in. 21 00:00:50,973 --> 00:00:54,813 Speaker 3: It, you know, one hundred you know, if you look 22 00:00:54,813 --> 00:00:57,173 Speaker 3: at the people who you know, they're targeting at those 23 00:00:57,213 --> 00:00:59,493 Speaker 3: people who are probably their kids have left home and 24 00:00:59,493 --> 00:01:01,853 Speaker 3: they've got a little bit of extra spending cash, and 25 00:01:02,173 --> 00:01:04,613 Speaker 3: oh yeah, we could go to that as opposed as 26 00:01:04,653 --> 00:01:07,413 Speaker 3: a four old you know, you know, twenty year olds 27 00:01:07,413 --> 00:01:09,293 Speaker 3: who are struggling on the doll and don't have any 28 00:01:09,333 --> 00:01:10,653 Speaker 3: money to spend on concert tickets. 29 00:01:10,653 --> 00:01:12,733 Speaker 4: So let's tag at the people with lots of money 30 00:01:12,733 --> 00:01:13,173 Speaker 4: in their pocket. 31 00:01:13,333 --> 00:01:16,013 Speaker 2: Yeah, hey, I've just done a quick google. Apparently apparently 32 00:01:16,013 --> 00:01:17,893 Speaker 2: Morrissey is playing in Bogatart. 33 00:01:18,613 --> 00:01:22,773 Speaker 4: Really in Colombia. There you go. Okay, look, you know 34 00:01:23,053 --> 00:01:25,253 Speaker 4: with a trip, I guess playing a. 35 00:01:25,293 --> 00:01:27,333 Speaker 2: Bit and then and then following it up with a 36 00:01:27,373 --> 00:01:32,293 Speaker 2: concert in Greece. So okay, Well there's wouldn't say never. 37 00:01:32,653 --> 00:01:35,013 Speaker 3: I mean, it's it's Christmas time and like you know, 38 00:01:35,093 --> 00:01:38,453 Speaker 3: it's people are looking around for a gift ideas for me, 39 00:01:38,493 --> 00:01:40,973 Speaker 3: so that family that's. 40 00:01:40,773 --> 00:01:42,093 Speaker 2: Like the budget extends. 41 00:01:42,173 --> 00:01:43,893 Speaker 4: Yes, yeah, exceltely. 42 00:01:44,053 --> 00:01:48,333 Speaker 2: Hey, it's funny we're always looking for Yeah. We always 43 00:01:48,373 --> 00:01:52,013 Speaker 2: hear that our phone usage is you know, we all 44 00:01:52,413 --> 00:01:54,093 Speaker 2: many of us are on our phones too much, and 45 00:01:54,133 --> 00:01:57,213 Speaker 2: that often our phone usage can be kind of anty social. 46 00:01:57,333 --> 00:01:59,573 Speaker 2: It leads to all sorts of negative impacts. But there's 47 00:01:59,573 --> 00:02:01,613 Speaker 2: a fascinating new study you have for us this week 48 00:02:01,973 --> 00:02:04,453 Speaker 2: look at ways to try and spot early signs of 49 00:02:04,493 --> 00:02:08,013 Speaker 2: problems like depression or bipole. And it's linked to your phone. 50 00:02:08,533 --> 00:02:10,493 Speaker 3: Yeah, I know, And it was when I when I 51 00:02:10,573 --> 00:02:13,093 Speaker 3: started reading this, I thought, you know, oh god, it'd 52 00:02:13,093 --> 00:02:14,773 Speaker 3: just be another way one of those ones that says 53 00:02:14,813 --> 00:02:17,373 Speaker 3: stop doom scrolling and blah blah blah and get off 54 00:02:17,413 --> 00:02:20,333 Speaker 3: social media and it and our goy was I was 55 00:02:20,373 --> 00:02:24,093 Speaker 3: really fascinated by this. So what they did, now before 56 00:02:24,213 --> 00:02:28,133 Speaker 3: people get excited or worried, perhaps worried, they did have 57 00:02:28,173 --> 00:02:31,213 Speaker 3: to download a special keyboard for use in this study. 58 00:02:31,253 --> 00:02:32,173 Speaker 4: So this wasn't. 59 00:02:31,933 --> 00:02:36,133 Speaker 3: Monitoring your your your phone just by some sort of nefarious. 60 00:02:35,653 --> 00:02:37,453 Speaker 2: They knew this was happening. It wasn't somebody. 61 00:02:38,013 --> 00:02:40,533 Speaker 3: They knew this was no, no, no, and they had 62 00:02:40,533 --> 00:02:43,133 Speaker 3: a special keyboard to monitor it. But basically what they 63 00:02:43,173 --> 00:02:46,493 Speaker 3: found was that a number of interesting patterns emerged from 64 00:02:46,573 --> 00:02:50,613 Speaker 3: looking at people's keystrokes on their on their phone, on 65 00:02:50,653 --> 00:02:52,453 Speaker 3: their cell phone. 66 00:02:52,773 --> 00:02:55,533 Speaker 4: So sort of three main things that they found. 67 00:02:55,573 --> 00:02:58,533 Speaker 3: Certainly, when people were starting to get depressed, so they 68 00:02:58,573 --> 00:03:01,253 Speaker 3: were okay, but then they were those early warning signs 69 00:03:01,293 --> 00:03:04,813 Speaker 3: starting to come on. They started to notice much lower 70 00:03:04,853 --> 00:03:09,293 Speaker 3: accuracy in their spell and they're typing speed going up 71 00:03:09,373 --> 00:03:15,213 Speaker 3: and down, which is probably they think reflective of you know, 72 00:03:15,253 --> 00:03:17,813 Speaker 3: when you start to get a bit depressed, you're thinking 73 00:03:17,933 --> 00:03:21,013 Speaker 3: everything kind of slows down a bit, and it's a 74 00:03:21,013 --> 00:03:23,293 Speaker 3: bit like thinking sort of in mud and you try, 75 00:03:23,333 --> 00:03:26,973 Speaker 3: it's always a bit more of a struggle. They found 76 00:03:27,013 --> 00:03:29,573 Speaker 3: that people tended to use their phone more when they 77 00:03:29,573 --> 00:03:32,413 Speaker 3: were getting than they were when they're not depressed, which 78 00:03:32,453 --> 00:03:36,493 Speaker 3: they were thinking might be related to lonely and withdrawing 79 00:03:36,533 --> 00:03:39,533 Speaker 3: socially and therefore starting to use my phone. 80 00:03:39,613 --> 00:03:42,933 Speaker 2: Moremsel lonelier and withdraw further. Yeah. 81 00:03:43,013 --> 00:03:46,173 Speaker 3: Yeah, kind of self fulfilling prophecy, right in terms of, yeah, 82 00:03:46,293 --> 00:03:47,733 Speaker 3: now you spend lots of time on your phone and 83 00:03:47,733 --> 00:03:49,973 Speaker 3: you don't socialize as much, and then you worry about 84 00:03:49,973 --> 00:03:52,053 Speaker 3: the fact that nobody's really calling me, or I haven't 85 00:03:52,053 --> 00:03:54,053 Speaker 3: been out with anybody, so I'll go on my phone more. 86 00:03:54,133 --> 00:03:57,973 Speaker 4: So that's it's it's a it's a tricky, you know, 87 00:03:58,413 --> 00:04:01,333 Speaker 4: spiral to fall into. I think the most fascinating one 88 00:04:01,333 --> 00:04:02,373 Speaker 4: that I found, anyway, was. 89 00:04:02,373 --> 00:04:05,093 Speaker 3: That they found that people when they're getting depressed had 90 00:04:05,213 --> 00:04:09,133 Speaker 3: much higher rates of using their backspace key, which. 91 00:04:08,973 --> 00:04:09,653 Speaker 4: Is like wow. 92 00:04:10,573 --> 00:04:15,333 Speaker 3: And again it's the the idea that you're probably typing. 93 00:04:15,053 --> 00:04:16,453 Speaker 4: More errors. 94 00:04:17,933 --> 00:04:21,133 Speaker 3: When you are or thinking or getting caught up in 95 00:04:21,133 --> 00:04:23,933 Speaker 3: your own thinking, and so you're typing something and then 96 00:04:24,013 --> 00:04:26,333 Speaker 3: oh no, no, that's not writ in backspace, backspace, backspace, And 97 00:04:26,373 --> 00:04:28,413 Speaker 3: so they found that there was an increased rate of 98 00:04:28,693 --> 00:04:31,653 Speaker 3: this increase rate of backspacing using your keyboard on your 99 00:04:31,653 --> 00:04:33,893 Speaker 3: phone predicted whether you're become. 100 00:04:33,693 --> 00:04:36,333 Speaker 4: Depressed or not, which was quite a quite a fascinating 101 00:04:36,333 --> 00:04:36,933 Speaker 4: little finding. 102 00:04:36,973 --> 00:04:40,973 Speaker 2: I thought, it is really interesting, is what I anticipated 103 00:04:40,973 --> 00:04:43,333 Speaker 2: you would say, So is it? Do you think because 104 00:04:43,373 --> 00:04:46,133 Speaker 2: people are like second guessing themselves. 105 00:04:47,013 --> 00:04:50,053 Speaker 3: Yeah, second guessing and getting caught up and you start 106 00:04:50,093 --> 00:04:53,173 Speaker 3: writing something and then go oh no, you know that's 107 00:04:53,213 --> 00:04:56,173 Speaker 3: not right, or and maybe part of it too again 108 00:04:56,213 --> 00:05:00,093 Speaker 3: that's sort of slowing down of your thinking skills that you, 109 00:05:00,453 --> 00:05:01,173 Speaker 3: I know, what. 110 00:05:01,133 --> 00:05:02,213 Speaker 4: Do I want to say? I can't? 111 00:05:02,373 --> 00:05:04,893 Speaker 3: Oh no that's not right. Back backpack, back back, and 112 00:05:04,933 --> 00:05:07,813 Speaker 3: you know, just self doubt too. You know, when you 113 00:05:07,853 --> 00:05:10,253 Speaker 3: get depressed, you doubt yourself and think, oh my god, 114 00:05:10,333 --> 00:05:12,253 Speaker 3: no that I shouldn't say that. No, no, So so 115 00:05:12,333 --> 00:05:16,533 Speaker 3: there was just this increased flurry of backspacing, and they 116 00:05:16,573 --> 00:05:18,733 Speaker 3: found that that was a really great predictor of when 117 00:05:18,773 --> 00:05:22,413 Speaker 3: people were going to get depressed. So I thought, I 118 00:05:22,533 --> 00:05:24,813 Speaker 3: thought that was such a fascinating you know, just from 119 00:05:24,853 --> 00:05:27,653 Speaker 3: one literally almost one key on your phone was going 120 00:05:27,693 --> 00:05:29,373 Speaker 3: to predict your mood. It was sort of like, wow, 121 00:05:29,453 --> 00:05:32,293 Speaker 3: that's that could be That could be revolutionary in many ways. 122 00:05:32,413 --> 00:05:36,133 Speaker 2: Yes, So what do you think are the possible implications 123 00:05:36,213 --> 00:05:36,493 Speaker 2: from this? 124 00:05:37,253 --> 00:05:40,453 Speaker 3: Well, look, I think, you know, you could conceivably we're 125 00:05:40,493 --> 00:05:43,093 Speaker 3: beginning to use apps in AI more and more in 126 00:05:44,093 --> 00:05:46,893 Speaker 3: mental health, and I know it's a debatable area and 127 00:05:47,293 --> 00:05:49,413 Speaker 3: we need to do it with lots of caution, But 128 00:05:49,533 --> 00:05:52,613 Speaker 3: imagine if you could hook this up, you know, and 129 00:05:52,653 --> 00:05:55,013 Speaker 3: that you've got an alert on your phone saying hey, look, 130 00:05:55,053 --> 00:05:58,213 Speaker 3: we've noticed in the past couple of days your backspace 131 00:05:58,773 --> 00:06:01,973 Speaker 3: rate has increased. We're wondering this might be a, you know, 132 00:06:02,213 --> 00:06:03,653 Speaker 3: an early sign of depression. 133 00:06:03,973 --> 00:06:05,453 Speaker 4: What do you know? Do you want to do something 134 00:06:05,453 --> 00:06:07,693 Speaker 4: about it? So just give people that feedback. 135 00:06:08,493 --> 00:06:10,933 Speaker 3: If you're working with a psychologist or a counselor, it 136 00:06:11,013 --> 00:06:13,693 Speaker 3: might be able to send them some info in real 137 00:06:13,733 --> 00:06:16,693 Speaker 3: time saying, hey, you know, perhaps monitor Google. We've just 138 00:06:16,813 --> 00:06:20,053 Speaker 3: noticed as backspace rate has increased. 139 00:06:19,653 --> 00:06:21,693 Speaker 4: That might indicate as moods going down. 140 00:06:22,133 --> 00:06:24,493 Speaker 3: But just really sort of linking in a real kind 141 00:06:24,493 --> 00:06:29,373 Speaker 3: of early intervention self awareness, and I think it could 142 00:06:29,413 --> 00:06:30,893 Speaker 3: be potentially quite revolutionary. 143 00:06:31,013 --> 00:06:34,853 Speaker 2: It's really interesting. Isn't that amazing? I suppose in some 144 00:06:34,893 --> 00:06:37,813 Speaker 2: respects this is a bit of good news about the 145 00:06:37,853 --> 00:06:43,693 Speaker 2: technology in our lives, if you're honest in a productive way. 146 00:06:44,693 --> 00:06:49,053 Speaker 3: Look, let's remember, really that the Internet is just a tool, 147 00:06:49,133 --> 00:06:51,173 Speaker 3: and we can use the tool for good or for 148 00:06:51,853 --> 00:06:54,973 Speaker 3: in quotes bad. And I think this is an opportunity 149 00:06:55,053 --> 00:06:57,653 Speaker 3: to see how we could potentially use it for something 150 00:06:57,853 --> 00:07:00,653 Speaker 3: for something good, for something helpful for our mental health, 151 00:07:00,973 --> 00:07:03,333 Speaker 3: rather than it's sort of being always the thing. 152 00:07:03,173 --> 00:07:05,173 Speaker 4: That's causing our mental health problems. 153 00:07:05,213 --> 00:07:07,613 Speaker 3: This is actually the flips and saying, hey, look, if 154 00:07:07,613 --> 00:07:11,213 Speaker 3: we harness this technology properly, maybe maybe it could be 155 00:07:11,253 --> 00:07:13,773 Speaker 3: really useful for helping people's. 156 00:07:13,453 --> 00:07:16,173 Speaker 2: Mentor Yeah, yeah, great point. Hey, thank you so much too. 157 00:07:16,213 --> 00:07:18,533 Speaker 2: Will you always find these amazing studies? For us, we'd 158 00:07:18,573 --> 00:07:21,333 Speaker 2: never never come across the table, but for you and we, honestly, 159 00:07:21,373 --> 00:07:22,253 Speaker 2: it's so interesting. 160 00:07:22,613 --> 00:07:25,453 Speaker 3: I spend many many hours jack late at night looking 161 00:07:25,493 --> 00:07:27,653 Speaker 3: for these studies just so I can come on and 162 00:07:27,693 --> 00:07:28,133 Speaker 3: tell you. 163 00:07:28,053 --> 00:07:30,533 Speaker 2: Well, I can't imagine they're all this interesting. So the 164 00:07:30,573 --> 00:07:34,253 Speaker 2: fact that really interesting ones and and filter them for 165 00:07:34,333 --> 00:07:36,013 Speaker 2: us there's very much appreciated. 166 00:07:36,133 --> 00:07:38,453 Speaker 4: Yeah, there's a lot of drudgery there that I just 167 00:07:38,493 --> 00:07:39,813 Speaker 4: had to scroll and. 168 00:07:39,693 --> 00:07:43,293 Speaker 2: Go yeah, yeah, Hey, thank you so much, have a 169 00:07:43,333 --> 00:07:43,973 Speaker 2: great weekend. 170 00:07:43,813 --> 00:07:44,493 Speaker 4: Hold you again. 171 00:07:45,373 --> 00:07:48,493 Speaker 1: For more from Saturday Morning with Jack Tame, listen live 172 00:07:48,573 --> 00:07:51,413 Speaker 1: to news talks that'd be from nine am Saturday, or 173 00:07:51,453 --> 00:07:53,373 Speaker 1: follow the podcast on iHeartRadio